Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Author index

Page Path
HOME > Browse > Author index
Search
Jae Hyeon Kim  (Kim JH) 50 Articles
Guideline/Fact Sheet
2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae Jin Kim, Hyun Min Kim, Jung Hae Ko, Nam Hoon Kim, Chong Hwa Kim, Jeeyun Ahn, Tae Jung Oh, Soo-Kyung Kim, Jaehyun Kim, Eugene Han, Sang-Man Jin, Jaehyun Bae, Eonju Jeon, Ji Min Kim, Seon Mee Kang, Jung Hwan Park, Jae-Seung Yun, Bong-Soo Cha, Min Kyong Moon, Byung-Wan Lee
Diabetes Metab J. 2024;48(4):546-708.   Published online July 26, 2024
DOI: https://doi.org/10.4093/dmj.2024.0249
  • 2,741 View
  • 269 Download
  • 1 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Adherence to the nutritional recommendations according to diabetes status in Korean adults: a cross-sectional study
    Jong Han Choi, Chen Lulu, Seon-Joo Park, Hae-Jeung Lee
    BMC Public Health.2024;[Epub]     CrossRef
Type 1 Diabetes
Article image
Optimal Coefficient of Variance Threshold to Minimize Hypoglycemia Risk in Individuals with Well-Controlled Type 1 Diabetes Mellitus
Jee Hee Yoo, Seung Hee Yang, Sang-Man Jin, Jae Hyeon Kim
Diabetes Metab J. 2024;48(3):429-439.   Published online March 4, 2024
DOI: https://doi.org/10.4093/dmj.2023.0083
  • 2,037 View
  • 229 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study investigated the optimal coefficient of variance (%CV) for preventing hypoglycemia based on real-time continuous glucose monitoring (rt-CGM) data in people with type 1 diabetes mellitus (T1DM) already achieving their mean glucose (MG) target.
Methods
Data from 172 subjects who underwent rt-CGM for at least 90 days and for whom 439 90-day glycemic profiles were available were analyzed. Receiver operator characteristic analysis was conducted to determine the cut-off value of %CV to achieve time below range (%TBR)<54 mg/dL <1 and =0.
Results
Overall mean glycosylated hemoglobin was 6.8% and median %TBR<54 mg/dL was 0.2%. MG was significantly higher and %CV significantly lower in profiles achieving %TBR<54 mg/dL <1 compared to %TBR<54 mg/dL ≥1 (all P<0.001). The cut-off value of %CV for achieving %TBR<54 mg/dL <1 was 37.5%, 37.3%, and 31.0%, in the whole population, MG >135 mg/dL, and ≤135 mg/dL, respectively. The cut-off value for %TBR<54 mg/dL=0% was 29.2% in MG ≤135 mg/dL. In profiles with MG ≤135 mg/dL, 94.2% of profiles with a %CV <31 achieved the target of %TBR<54 mg/dL <1, and 97.3% with a %CV <29.2 achieved the target of %TBR<54 mg/ dL=0%. When MG was >135 mg/dL, 99.4% of profiles with a %CV <37.3 achieved %TBR<54 mg/dL <1.
Conclusion
In well-controlled T1DM with MG ≤135 mg/dL, we suggest a %CV <31% to achieve the %TBR<54 mg/dL <1 target. Furthermore, we suggest a %CV <29.2% to achieve the target of %TBR<54 mg/dL =0 for people at high risk of hypoglycemia.
Complications
Article image
Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study
So Hee Park, You-Bin Lee, Kyu-na Lee, Bongsung Kim, So Hyun Cho, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes Metab J. 2024;48(2):290-301.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2022.0299
  • 1,915 View
  • 222 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We aimed to identify the risk of incident depression according to cumulative exposure to a low-household income status in individuals with type 2 diabetes mellitus (T2DM).
Methods
For this retrospective longitudinal population-based cohort study, we used Korean National Health Insurance Service data from 2002 to 2018. Risk of depression was assessed according to cumulative exposure to low-household income status (defined as Medical Aid registration) during the previous 5 years among adults (aged ≥20 years) with T2DM and without baseline depression who underwent health examinations from 2009 to 2012 (n=2,027,317).
Results
During an average 6.23 years of follow-up, 401,175 incident depression cases occurred. Advance in cumulative number of years registered for medical aid during the previous 5 years from baseline was associated with an increased risk of depression in a dose-dependent manner (hazard ratio [HR], 1.44 [95% confidence interval (CI), 1.38 to 1.50]; HR, 1.40 [95% CI, 1.35 to 1.46]; HR, 1.42, [95% CI, 1.37 to 1.48]; HR, 1.46, [95% CI, 1.40 to 1.53]; HR, 1.69, [95% CI, 1.63 to 1.74] in groups with 1 to 5 exposed years, respectively). Insulin users exposed for 5 years to a low-household income state had the highest risk of depression among groups categorized by insulin use and duration of low-household income status.
Conclusion
Cumulative duration of low-household income status, defined as medical aid registration, was associated with an increased risk of depression in a dose-response manner in individuals with T2DM.

Citations

Citations to this article as recorded by  
  • Type 2 diabetes mellitus modifies and mediates the association between the visceral adiposity index and depression: A cross-sectional study using NHANES 2005–2018 data
    Yujun Zhang, Jingjing Song, Benjie Li, Xinmeng Lv, Jiahao Liu, Wei Si, Xin Huang, Jiazhen Tang, Xiaorong Yang, Fang Liu
    Journal of Affective Disorders.2025; 368: 749.     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Psychotic Disorders and the Risk of Type 2 Diabetes Mellitus, Atherosclerotic Cardiovascular Diseases, and All-Cause Mortality: A Population-Based Matched Cohort Study
You-Bin Lee, Hyewon Kim, Jungkuk Lee, Dongwoo Kang, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim, Hong Jin Jeon, Kyu Yeon Hur
Diabetes Metab J. 2024;48(1):122-133.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2022.0431
  • 2,007 View
  • 180 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The effects of psychotic disorders on cardiometabolic diseases and premature death need to be determined in Asian populations.
Methods
In this population-based matched cohort study, the Korean National Health Insurance Service database (2002 to 2018) was used. The risk of type 2 diabetes mellitus (T2DM), acute myocardial infarction (AMI), ischemic stroke, composite of all cardiometabolic diseases, and all-cause death during follow-up was compared between individuals with psychotic disorders treated with antipsychotics (n=48,162) and 1:1 matched controls without psychiatric disorders among adults without cardiometabolic diseases before or within 3 months after baseline.
Results
In this cohort, 53,683 composite cases of all cardiometabolic diseases (during median 7.38 years), 899 AMI, and 1,216 ischemic stroke cases (during median 14.14 years), 7,686 T2DM cases (during median 13.26 years), and 7,092 deaths (during median 14.23 years) occurred. The risk of all outcomes was higher in subjects with psychotic disorders than matched controls (adjusted hazard ratios [95% confidence intervals]: 1.522 [1.446 to 1.602] for T2DM; 1.455 [1.251 to 1.693] for AMI; 1.568 [1.373 to 1.790] for ischemic stroke; 1.595 [1.565 to 1.626] for composite of all cardiometabolic diseases; and 2.747 [2.599 to 2.904] for all-cause mortality) during follow-up. Similar patterns of associations were maintained in subgroup analyses but more prominent in younger individuals (P for interaction <0.0001) when categorized as those aged 18–39, 40–64, or ≥65 years.
Conclusion
Patients with psychotic disorders treated with antipsychotics were associated with increased risk of premature allcause mortality and cardiometabolic outcomes in an Asian population. This relationship was more pronounced in younger individuals, especially aged 18 to 39 years.
Metabolic Risk/Epidemiology
Article image
Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study
You-Bin Lee, So Hee Park, Kyu-na Lee, Bongsung Kim, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes Metab J. 2023;47(5):682-692.   Published online June 22, 2023
DOI: https://doi.org/10.4093/dmj.2022.0184
  • 2,298 View
  • 138 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).
Methods
Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1–4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.
Results
During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1–4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.
Conclusion
Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.
Guideline/Fact Sheet
Article image
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae Jin Kim, Hyun Min Kim, Jung Hae Ko, Nam Hoon Kim, Chong Hwa Kim, Jeeyun Ahn, Tae Jung Oh, Soo-Kyung Kim, Jaehyun Kim, Eugene Han, Sang-Man Jin, Won Suk Choi, Min Kyong Moon, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2023;47(5):575-594.   Published online September 26, 2023
DOI: https://doi.org/10.4093/dmj.2023.0282
  • 8,689 View
  • 1,018 Download
  • 25 Web of Science
  • 30 Crossref
AbstractAbstract PDFPubReader   ePub   
In May 2023, the Committee of Clinical Practice Guidelines of the Korean Diabetes Association published the revised clinical practice guidelines for Korean adults with diabetes and prediabetes. We incorporated the latest clinical research findings through a comprehensive systematic literature review and applied them in a manner suitable for the Korean population. These guidelines are designed for all healthcare providers nationwide, including physicians, diabetes experts, and certified diabetes educators who manage patients with diabetes or individuals at risk of developing diabetes. Based on recent changes in international guidelines and the results of a Korean epidemiological study, the recommended age for diabetes screening has been lowered. In collaboration with the relevant Korean medical societies, recently revised guidelines for managing hypertension and dyslipidemia in patients with diabetes have been incorporated into this guideline. An abridgment containing practical information on patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by  
  • Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
    Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
    Metabolism.2024; 152: 155789.     CrossRef
  • Letter by In-Kyung Jeong Regarding Article, Trends in Prevalence of Hypertriglyceridemia and Related Factors in Korean Adults: A Serial Cross-Sectional Study
    In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2024; 13(1): 80.     CrossRef
  • Association between cardiovascular disease risk and incident type 2 diabetes mellitus in individuals with prediabetes: A retrospective cohort study
    Myung Jin Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee
    Diabetes Research and Clinical Practice.2024; 208: 111125.     CrossRef
  • Korea Hypertension Fact Sheet 2023: analysis of nationwide population-based data with a particular focus on hypertension in special populations
    Hyeon Chang Kim, Hokyou Lee, Hyeok-Hee Lee, Dasom Son, Minsung Cho, Sojung Shin, Yeeun Seo, Eun-Jin kim, Song Vogue Ahn, Sun Ha Jee, Sungha Park, Hae-Young Lee, Min Ho Shin, Sang-Hyun Ihm, Seung Won Lee, Jong Ku Park, Il Suh, Tae-Yong Lee
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
    Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Effect of Adding Apolipoprotein B Testing on the Prevalence of Dyslipidemia and Risk of Cardiovascular Disease in the Korean Adult Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Metabolites.2024; 14(3): 169.     CrossRef
  • Fenofibrate to prevent amputation and reduce vascular complications in patients with diabetes: FENO-PREVENT
    Eu Jeong Ku, Bongseong Kim, Kyungdo Han, Seung-Hwan Lee, Hyuk-Sang Kwon
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • A self-powered and supercapacitive microneedle continuous glucose monitoring system with a wide range of glucose detection capabilities
    Hye-Jun Kil, Jang Hyeon Kim, Kanghae Lee, Tae-Uk Kang, Ju-Hyun Yoo, Yong-ho Lee, Jin-Woo Park
    Biosensors and Bioelectronics.2024; 257: 116297.     CrossRef
  • Cardiorenal outcomes and mortality after sodium‐glucose cotransporter‐2 inhibitor initiation in type 2 diabetes patients with percutaneous coronary intervention history
    Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
    Diabetes, Obesity and Metabolism.2024; 26(7): 2567.     CrossRef
  • SGLT2i impact on HCC incidence in patients with fatty liver disease and diabetes: a nation-wide cohort study in South Korea
    Hyo Jung Cho, Eunyoung Lee, Soon Sun Kim, Jae Youn Cheong
    Scientific Reports.2024;[Epub]     CrossRef
  • The importance of diabetes mellitus in dental practice
    Nina Dimitrijević-Jovanović, Hristina Ugrinović, Radomir Mitić, Nevena Kalezić
    Galenika Medical Journal.2024; 3(9): 80.     CrossRef
  • Evaluation of glycemic response of ten local meals commonly consumed from Chad
    Zoufane Guedeungbe, Jean Paul Bayang, Benoît Bargui Koubala
    Journal of Agriculture and Food Research.2024; 17: 101251.     CrossRef
  • Glycemic Control and Oral Health Outcomes in Patients With Diabetes: Insights From a Nationwide Korean Survey
    Song-Yi Yu, Sun-Kyung Lee, Bumhee Yang, Hyun Lee, Hyun Jeong Jeon, Dong-Hwa Lee
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Efficacy and safety of albiglutide, a once-weekly glucagon-like peptide-1 receptor agonist, in patients with type 2 diabetes: A systematic review and meta-analysis
    A.B.M. Kamrul-Hasan, Deep Dutta, Lakshmi Nagendra, Saptarshi Bhattacharya, Rajiv Singla, Sanjay Kalra
    Medicine.2024; 103(25): e38568.     CrossRef
  • Longitudinal Analysis of Diabetes Mellitus Risk: Smoking Status and Smoking Cessation
    Da-Eun Sung, Seung-Jae Lee, Mi-Yeon Lee, Eun-Jung Rhee, Ki-Chul Sung
    Journal of Clinical Medicine.2024; 13(13): 3927.     CrossRef
  • Current type 2 diabetes guidelines: Individualized treatment and how to make the most of metformin
    Juliana C. N. Chan, Aimin Yang, Natural Chu, Elaine Chow
    Diabetes, Obesity and Metabolism.2024; 26(S3): 55.     CrossRef
  • Comprehensive management of polypharmacy in older patients with diabetes
    Kang Seo Park, Hea Min Yu
    Journal of the Korean Medical Association.2024; 67(7): 449.     CrossRef
  • The Key Role of Nutritional Intervention in Delaying Disease Progression and the Therapeutic Management of Diabetic Kidney Disease—A Challenge for Physicians and Patients
    Ileana Peride, Miruna Anastasiu, Silvia Alexandra Serban, Mirela Tiglis, Razvan Ene, Ana-Maria Nechita, Tiberiu Paul Neagu, Ionel Alexandru Checherita, Andrei Niculae
    Journal of Personalized Medicine.2024; 14(8): 778.     CrossRef
  • Efficacy and Safety of Pioglitazone Add-on in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Metformin and Dapagliflozin: A Multicenter, Randomized, Double-blind, and Placebo-controlled Study
    Yun Kyung Cho, Kyung-Soo Kim, Byung-Wan Lee, Jun Hwa Hong, Jae Myung Yu, Soo Lim, Ye An Kim, Chang Beom Lee, Sang Soo Kim, Soo Heon Kwak, Woo Je Lee
    Clinical Therapeutics.2024; 46(9): 662.     CrossRef
  • Islet transplantation in Korea
    Joonyub Lee, Kun‐Ho Yoon
    Journal of Diabetes Investigation.2024; 15(9): 1165.     CrossRef
  • Effect of gout and diabetic kidney disease on renal cancer development in Korea
    Seung Min Chung, Inha Jung, Da Young Lee, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A Seo, Kyungdo Han, Nan Hee Kim
    Clinical Kidney Journal.2024;[Epub]     CrossRef
  • Cardiovascular autonomic neuropathy and the risk of diabetic kidney disease
    Injeong Cho, Seohyun Lim, Minjae Kwon, Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Educational Needs and Priorities of People with Diabetes and Healthcare Providers in South Korea: A Mixed-Methods Study
    Shinae Seo, Chun-Ja Kim, Hee Sun Kang, Elizabeth A. Schlenk
    Journal of Transcultural Nursing.2024;[Epub]     CrossRef
  • Changes in serum uteroglobin level in type 2 diabetes mellitus patients
    Joung Youl Lim, Sang-Hyeon Ju, Ji Min Kim, Hyon-Seung Yi, Ju Hee Lee, Hyun Jin Kim, Bon Jeong Ku, Kyong Hye Joung
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Recommendations for Pharmacological Treatment of Type 2 Diabetes
    Junghyun Noh
    The Journal of Korean Diabetes.2023; 24(3): 127.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • A 33-Year-Old Man Presented with Abdominal Pain and Vomiting Starting a Day Ago
    Jong Han Choi
    The Korean Journal of Medicine.2023; 98(6): 289.     CrossRef
  • Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data
    Sung-Soo Kim, Hun-Sung Kim
    Journal of Personalized Medicine.2023; 14(1): 42.     CrossRef
Technology/Device
Article image
Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study
You-Bin Lee, Minjee Kim, Jae Hyeon Kim
Diabetes Metab J. 2023;47(3):405-414.   Published online March 6, 2023
DOI: https://doi.org/10.4093/dmj.2022.0032
  • 4,179 View
  • 142 Download
  • 3 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We explored the association between continuous glucose monitoring (CGM) use and glycemia among adults with type 1 diabetes mellitus (T1DM) and determined the status of CGM metrics among adults with T1DM using CGM in the real-world.
Methods
For this propensity-matched cross-sectional study, individuals with T1DM who visited the outpatient clinic of the Endocrinology Department of Samsung Medical Center between March 2018 and February 2020 were screened. Among them, 111 CGM users (for ≥9 months) were matched based on propensity score considering age, sex, and diabetes duration in a 1:2 ratio with 203 CGM never-users. The association between CGM use and glycemic measures was explored. In a subpopulation of CGM users who had been using official applications (not “do-it-yourself” software) such that Ambulatory Glucose Profile data for ≥1 month were available (n=87), standardized CGM metrics were summarized.
Results
Linear regression analyses identified CGM use as a determining factor for log-transformed glycosylated hemoglobin. The fully-adjusted odds ratio (OR) and 95% confidence interval (CI) for uncontrolled glycosylated hemoglobin (>8%) were 0.365 (95% CI, 0.190 to 0.703) in CGM users compared to never-users. The fully-adjusted OR for controlled glycosylated hemoglobin (<7%) was 1.861 (95% CI, 1.119 to 3.096) in CGM users compared to never-users. Among individuals who had been using official applications for CGM, time in range (TIR) values within recent 30- and 90-day periods were 62.45%±16.63% and 63.08%±15.32%, respectively.
Conclusion
CGM use was associated with glycemic control status among Korean adults with T1DM in the real-world, although CGM metrics including TIR might require further improvement among CGM users.

Citations

Citations to this article as recorded by  
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah B. Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024; 26(6): 394.     CrossRef
  • Accuracy and Safety of the 15-Day CareSens Air Continuous Glucose Monitoring System
    Kyung-Soo Kim, Seung-Hwan Lee, Won Sang Yoo, Cheol-Young Park
    Diabetes Technology & Therapeutics.2024; 26(4): 222.     CrossRef
  • Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
    Jun Sung Moon
    Diabetes & Metabolism Journal.2023; 47(3): 345.     CrossRef
  • Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
    Jee Hee Yoo, Jae Hyeon Kim
    The Journal of Korean Diabetes.2023; 24(4): 190.     CrossRef
Guideline/Fact Sheet
Article image
Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
Diabetes Metab J. 2023;47(2):211-219.   Published online February 7, 2023
DOI: https://doi.org/10.4093/dmj.2022.0346
  • 5,328 View
  • 327 Download
  • 7 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study investigated the trends of insulin use among Korean patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Changes in prescription of antidiabetic medications in T2DM patients taking insulin therapy were evaluated.
Methods
We analyzed data from the National Health Insurance Service database in Korea to evaluate the prevalence of insulin users and trends of insulin use in T1DM and T2DM patients from January 2002 to December 2019. We also investigated numbers and types of antidiabetic medications in insulin users with T2DM.
Results
The overall total number of insulin users increased from 2002 to 2019, reaching 348,254 for T2DM and 20,287 for T1DM in 2019 compared with 109,974 for T2DM and 34,972 for T1DM in 2002. The proportion of patients using basal analogs and short acting analogs have increased and those using human insulin, premixed insulin, or biphasic human insulin have decreased (rapid acting analogs: 71.85% and 24.12% in T1DM and T2DM, respectively, in 2019; basal analogs: 76.75% and 75.09% in T1DM and T2DM, respectively, in 2019). The use of other antidiabetic medication in addition to insulin increased for T2DM, especially in dual therapy, reaching up to 52.35% in 2019 compared with 16.72% in 2002.
Conclusion
The proportion of the patients using basal or rapid acting analogs increased among all insulin users in both T1DM and T2DM patients. Among patients with T2DM, the proportion of patients using antidiabetic medications in addition to insulin was significantly increased compared to those who used insulin alone.

Citations

Citations to this article as recorded by  
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah B. Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024; 26(6): 394.     CrossRef
  • Continuous glucose monitoring for glycaemic control and cardiovascular risk reduction in patients with type 2 diabetes not on insulin therapy: A clinical trial
    Joseph Reed, Tony Dong, Elke Eaton, Janice Friswold, Jodie Porges, Sadeer G. Al‐Kindi, Sanjay Rajagopalan, Ian J. Neeland
    Diabetes, Obesity and Metabolism.2024; 26(7): 2881.     CrossRef
  • Gastrointestinal safety evaluation of semaglutide for the treatment of type 2 diabetes mellitus: A meta-analysis
    Xiaoyan Huang, Miaohui Wu, Jiaojiao Lin, Lunpan Mou, Yaping Zhang, Jianjia Jiang
    Medicine.2024; 103(21): e38236.     CrossRef
  • Once-Weekly Insulin Icodec in Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Clinical Trials (ONWARDS Clinical Program)
    Giuseppe Lisco, Anna De Tullio, Vincenzo De Geronimo, Vito Angelo Giagulli, Edoardo Guastamacchia, Giuseppina Piazzolla, Olga Eugenia Disoteo, Vincenzo Triggiani
    Biomedicines.2024; 12(8): 1852.     CrossRef
  • Changes in insulin utilization in China from 2020 to 2022
    Chen Chen, Xingyu Liu, Jieqiong Zhang, Shuchen Hu, Jinwei Zhang, Xiaoyong Liu, Caijun Yang, Yu Fang
    Diabetes, Obesity and Metabolism.2024;[Epub]     CrossRef
  • Adherence to the nutritional recommendations according to diabetes status in Korean adults: a cross-sectional study
    Jong Han Choi, Chen Lulu, Seon-Joo Park, Hae-Jeung Lee
    BMC Public Health.2024;[Epub]     CrossRef
  • Evaluation of pharmacokinetic interactions between lobeglitazone, empagliflozin, and metformin in healthy subjects
    Heeyoung Kim, Choon Ok Kim, Hyeonsoo Park, Min Soo Park, Dasohm Kim, Taegon Hong, Yesong Shin, Byung Hak Jin
    Translational and Clinical Pharmacology.2023; 31(1): 59.     CrossRef
  • Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
    Jee Hee Yoo, Jae Hyeon Kim
    The Journal of Korean Diabetes.2023; 24(4): 190.     CrossRef
Technology/Device
Article image
Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control
Jee Hee Yoo, Jae Hyeon Kim
Diabetes Metab J. 2023;47(1):27-41.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0271
  • 9,388 View
  • 461 Download
  • 17 Web of Science
  • 24 Crossref
AbstractAbstract PDFPubReader   ePub   
Continuous glucose monitoring (CGM) technology has evolved over the past decade with the integration of various devices including insulin pumps, connected insulin pens (CIPs), automated insulin delivery (AID) systems, and virtual platforms. CGM has shown consistent benefits in glycemic outcomes in type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) treated with insulin. Moreover, the combined effect of CGM and education have been shown to improve glycemic outcomes more than CGM alone. Now a CIP is the expected future technology that does not need to be worn all day like insulin pumps and helps to calculate insulin doses with a built-in bolus calculator. Although only a few clinical trials have assessed the effectiveness of CIPs, they consistently show benefits in glycemic outcomes by reducing missed doses of insulin and improving problematic adherence. AID systems and virtual platforms made it possible to achieve target glycosylated hemoglobin in diabetes while minimizing hypoglycemia, which has always been challenging in T1DM. Now fully automatic AID systems and tools for diabetes decisions based on artificial intelligence are in development. These advances in technology could reduce the burden associated with insulin treatment for diabetes.

Citations

Citations to this article as recorded by  
  • Recent advances in artificial intelligence-assisted endocrinology and diabetes
    Ioannis T. Oikonomakos, Ranjit M. Anjana, Viswanathan Mohan, Charlotte Steenblock, Stefan R. Bornstein
    Exploration of Endocrine and Metabolic Disease.2024; 1(1): 16.     CrossRef
  • Accuracy and Safety of the 15-Day CareSens Air Continuous Glucose Monitoring System
    Kyung-Soo Kim, Seung-Hwan Lee, Won Sang Yoo, Cheol-Young Park
    Diabetes Technology & Therapeutics.2024; 26(4): 222.     CrossRef
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah B. Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024; 26(6): 394.     CrossRef
  • Recent advances in the precision control strategy of artificial pancreas
    Wuyi Ming, Xudong Guo, Guojun Zhang, Yinxia Liu, Yongxin Wang, Hongmei Zhang, Haofang Liang, Yuan Yang
    Medical & Biological Engineering & Computing.2024; 62(6): 1615.     CrossRef
  • Digital Health in Diabetes and Cardiovascular Disease
    Dorothy Avoke, Abdallah Elshafeey, Robert Weinstein, Chang H. Kim, Seth S. Martin
    Endocrine Research.2024; 49(3): 124.     CrossRef
  • Continuous glucose monitoring with structured education in adults with type 2 diabetes managed by multiple daily insulin injections: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Kang Hee Sim, Bo-Yeon Kim, Jae Hyoung Cho, Jun Sung Moon, Soo Lim, Eun Seok Kang, Cheol-Young Park, Sin Gon Kim, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1223.     CrossRef
  • Smart solutions in hypertension diagnosis and management: a deep dive into artificial intelligence and modern wearables for blood pressure monitoring
    Anubhuti Juyal, Shradha Bisht, Mamta F. Singh
    Blood Pressure Monitoring.2024; 29(5): 260.     CrossRef
  • Emerging trends in functional molecularly imprinted polymers for electrochemical detection of biomarkers
    Sanjida Yeasmin, Li-Jing Cheng
    Biomicrofluidics.2024;[Epub]     CrossRef
  • Continuous glucose monitoring in pregnant women with pregestational type 2 diabetes: a narrative review
    Sylvia Ye, Ibrahim Shahid, Christopher J Yates, Dev Kevat, I-Lynn Lee
    Obstetric Medicine.2024;[Epub]     CrossRef
  • Advancements in nanohybrid material-based acetone gas sensors relevant to diabetes diagnosis: A comprehensive review
    Arpit Verma, Deepankar Yadav, Subramanian Natesan, Monu Gupta, Bal Chandra Yadav, Yogendra Kumar Mishra
    Microchemical Journal.2024; 201: 110713.     CrossRef
  • Current treatment options of diabetes mellitus type 1 in pediatric population
    Petr Polák, Renata Pomahačová, Karel Fiklík, Petra Paterová, Josef Sýkora
    Pediatrie pro praxi.2024; 25(3): 161.     CrossRef
  • Efectividad de un sistema híbrido de circuito cerrado en pacientes con diabetes tipo 1 durante el ejercicio físico: un estudio descriptivo en la vida real
    Ruben Martin-Payo, Maria del Mar Fernandez-Alvarez, Rebeca García-García, Ángela Pérez-Varela, Shelini Surendran, Isolina Riaño-Galán
    Anales de Pediatría.2024; 101(3): 183.     CrossRef
  • Effectiveness of a hybrid closed-loop system for children and adolescents with type 1 diabetes during physical exercise: A cross-sectional study in real life
    Ruben Martin-Payo, Maria del Mar Fernandez-Alvarez, Rebeca García-García, Ángela Pérez-Varela, Shelini Surendran, Isolina Riaño-Galán
    Anales de Pediatría (English Edition).2024; 101(3): 183.     CrossRef
  • Real-time continuous glucose monitoring vs. self-monitoring of blood glucose: cost-utility in South Korean type 2 diabetes patients on intensive insulin
    Ji Yoon Kim, Sabrina Ilham, Hamza Alshannaq, Richard F. Pollock, Waqas Ahmed, Gregory J. Norman, Sang-Man Jin, Jae Hyeon Kim
    Journal of Medical Economics.2024; : 1.     CrossRef
  • Glycemic Outcomes During Early Use of the MiniMed™ 780G Advanced Hybrid Closed-Loop System with Guardian™ 4 Sensor
    Toni L. Cordero, Zheng Dai, Arcelia Arrieta, Fang Niu, Melissa Vella, John Shin, Andrew S. Rhinehart, Jennifer McVean, Scott W. Lee, Robert H. Slover, Gregory P. Forlenza, Dorothy I. Shulman, Rodica Pop-Busui, James R. Thrasher, Mark S. Kipnes, Mark P. Ch
    Diabetes Technology & Therapeutics.2023; 25(9): 652.     CrossRef
  • Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
    Jun Sung Moon
    Diabetes & Metabolism Journal.2023; 47(3): 345.     CrossRef
  • APSec1.0: Innovative Security Protocol Design with Formal Security Analysis for the Artificial Pancreas System
    Jiyoon Kim, Jongmin Oh, Daehyeon Son, Hoseok Kwon, Philip Virgil Astillo, Ilsun You
    Sensors.2023; 23(12): 5501.     CrossRef
  • Advances and Development of Electronic Neural Interfaces
    Xue Jiaxiang, Liu Zhixin
    Journal of Computing and Natural Science.2023; : 147.     CrossRef
  • Continuous Glucose Monitoring (CGM) and Metabolic Control in a Cohort of Patients with Type 1 Diabetes and Coeliac Disease
    Flavia Amaro, Maria Alessandra Saltarelli, Marina Primavera, Marina Cerruto, Stefano Tumini
    Endocrines.2023; 4(3): 595.     CrossRef
  • Comparison of Glycemia Risk Index with Time in Range for Assessing Glycemic Quality
    Ji Yoon Kim, Jee Hee Yoo, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2023; 25(12): 883.     CrossRef
  • The Benefits Of Continuous Glucose Monitoring In Pregnancy
    Jee Hee Yoo, Jae Hyeon Kim
    Endocrinology and Metabolism.2023; 38(5): 472.     CrossRef
  • The Growing Challenge of Diabetes Management in an Aging Society
    Seung-Hwan Lee
    Diabetes & Metabolism Journal.2023; 47(5): 630.     CrossRef
  • An Observational Pilot Study of a Tailored Environmental Monitoring and Alert System for Improved Management of Chronic Respiratory Diseases
    Mohammed Alotaibi, Fady Alnajjar, Badr A Alsayed, Tareq Alhmiedat, Ashraf M Marei, Anas Bushnag, Luqman Ali
    Journal of Multidisciplinary Healthcare.2023; Volume 16: 3799.     CrossRef
  • Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
    Jee Hee Yoo, Jae Hyeon Kim
    The Journal of Korean Diabetes.2023; 24(4): 190.     CrossRef
Technology/Device
A 4-Week, Two-Center, Open-Label, Single-Arm Study to Evaluate the Safety and Efficacy of EOPatch in Well-Controlled Type 1 Diabetes Mellitus
Jiyun Park, Nammi Park, Sangjin Han, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Woo Je Lee, Jae Hyeon Kim
Diabetes Metab J. 2022;46(6):941-947.   Published online March 8, 2022
DOI: https://doi.org/10.4093/dmj.2021.0299
  • 5,954 View
  • 293 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
This study evaluated the safety and efficacy of tubeless patch pump called EOPatch in patients with well-controlled type 1 diabetes mellitus (T1DM). This 4-week, two-center, open-label, single-arm study enrolled 10 adult patients diagnosed with T1DM with glycosylated hemoglobin less than 7.5%. The co-primary end points were patch pump usage time for one attachment and number of serious adverse events related to the patch pump. The secondary end points were total amount of insulin injected per patch and changes in glycemic parameters including continuous glucose monitoring data compared to those at study entry. The median usage time per patch was 84.00 hours (interquartile range, 64.50 to 92.50). Serious adverse events did not occur during the trial. Four weeks later, time in range 70 to 180 mg/dL was significantly improved (70.71%±17.14 % vs. 82.96%±9.14%, P=0.01). The times spent below range (<54 mg/dL) and above range (>180 mg/dL) also improved (All P<0.05). Four-week treatment with a tubeless patch pump was safe and led to clinical improvement in glycemic control.

Citations

Citations to this article as recorded by  
  • Multilayer track‐etched membrane‐based electroosmotic pump for drug delivery
    Qian Yang, Zebo Zhang, Junshu Lin, Boyu Zhu, Rongying Yu, Xinru Li, Bin Su, Bo Zhao
    ELECTROPHORESIS.2024; 45(5-6): 433.     CrossRef
  • Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1235.     CrossRef
  • Approaches of wearable and implantable biosensor towards of developing in precision medicine
    Elham Ghazizadeh, Zahra Naseri, Hans-Peter Deigner, Hossein Rahimi, Zeynep Altintas
    Frontiers in Medicine.2024;[Epub]     CrossRef
  • Advancements in Insulin Pumps: A Comprehensive Exploration of Insulin Pump Systems, Technologies, and Future Directions
    Mohammad Towhidul Islam Rimon, Md Wasif Hasan, Mohammad Fuad Hassan, Sevki Cesmeci
    Pharmaceutics.2024; 16(7): 944.     CrossRef
  • A true continuous healthcare system for type 1 diabetes
    Jiyong Kim, Salman Khan, Eun Kyu Kim, Hye-Jun Kil, Bo Min Kang, Hyo Geon Lee, Jin-Woo Park, Jun Young Yoon, Woochul Kim
    Nano Energy.2023; 113: 108553.     CrossRef
Drug/Regimen
Article image
Real-World Prescription Patterns and Barriers Related to the Use of Sodium-Glucose Cotransporter 2 Inhibitors among Korean Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease
Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2022;46(5):701-712.   Published online June 3, 2022
DOI: https://doi.org/10.4093/dmj.2022.0002
  • 5,823 View
  • 331 Download
  • 9 Web of Science
  • 10 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate prescription trends and clinical factors of the sodium-glucose cotransporter 2 inhibitors (SGLT2i) use according to the presence of atherosclerotic cardiovascular disease (ASCVD) or heart failure (HF) in Korean patients with type 2 diabetes mellitus (T2DM).
Methods
Prescription patterns of SGLT2i use between 2015 and 2019 were determined using the Korean National Health Insurance Service database of claims.
Results
Of all patients with T2DM (n=4,736,493), the annual prescription rate of SGLT2i increased every year in patients with ASCVD (from 2.2% to 10.7%) or HF (from 2.0% to 11.1%). After the first hospitalization for ASCVD (n=518,572), 13.7% (n=71,259) of patients initiated SGLT2i with a median of 10.6 months. After hospitalization for HF (n=372,853), 11.2% (n=41,717) of patients initiated SGLT2i after a median of 8.8 months. In multivariate regression for hospitalization, older age (per 10 years, odds ratio [OR], 0.57; 95% confidence interval [CI], 0.56 to 0.57), lower household income (OR, 0.93; 95% CI, 0.92 to 0.95), rural residents (OR, 0.95; 95% CI, 0.93 to 0.97), and dipeptidyl peptidase-4 inhibitor (DPP-4i) users (OR, 0.82; 95% CI, 0.81 to 0.84) were associated with lesser initiation of SGLT2i in ASCVD. Additionally, female gender (OR, 0.97; 95% CI, 0.95 to 0.99) was associated with lesser initiation of SGLT2i in HF.
Conclusion
The prescription rate of SGLT2i increased gradually up to 2019 but was suboptimal in patients with ASCVD or HF. After the first hospitalization for ASCVD or HF, older age, female gender, low household income, rural residents, and DPP-4i users were less likely to initiate SGLT2i.

Citations

Citations to this article as recorded by  
  • Effectiveness and safety of sodium–glucose cotransporter 2 inhibitors in Asian populations
    Kyoung Hwa Ha, Dae Jung Kim
    Journal of Diabetes Investigation.2024; 15(3): 285.     CrossRef
  • Real-World Treatment Patterns according to Clinical Practice Guidelines in Patients with Type 2 Diabetes Mellitus and Established Cardiovascular Disease in Korea: Multicenter, Retrospective, Observational Study
    Ye Seul Yang, Nam Hoon Kim, Jong Ha Baek, Seung-Hyun Ko, Jang Won Son, Seung-Hwan Lee, Sang Youl Rhee, Soo-Kyung Kim, Tae Seo Sohn, Ji Eun Jun, In-Kyung Jeong, Chong Hwa Kim, Keeho Song, Eun-Jung Rhee, Junghyun Noh, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2024; 48(2): 279.     CrossRef
  • Hospital Readmissions for Fluid Overload among Individuals with Diabetes and Diabetic Kidney Disease: Risk Factors and Multivariable Prediction Models
    Jiashen Cai, Dorothy Huang, Hanis Binte Abdul Kadir, Zhihua Huang, Li Choo Ng, Andrew Ang, Ngiap Chuan Tan, Yong Mong Bee, Wei Yi Tay, Chieh Suai Tan, Cynthia C. Lim
    Nephron.2024; 148(8): 523.     CrossRef
  • Kidney outcomes with SGLT2 inhibitor versus DPP4 inhibitor use in older adults with diabetes
    Yuta Suzuki, Hidehiro Kaneko, Akira Okada, Jin Komuro, Toshiyuki Ko, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Akira Nishiyama, Masaki Ieda, Koichi Node, Hideo Yasunaga, Masaomi Nangaku, Issei Komuro
    Nephrology Dialysis Transplantation.2024;[Epub]     CrossRef
  • Benefit and Safety of Sodium-Glucose Co-Transporter 2 Inhibitors in Older Patients with Type 2 Diabetes Mellitus
    Ja Young Jeon, Dae Jung Kim
    Diabetes & Metabolism Journal.2024; 48(5): 837.     CrossRef
  • Prescribing patterns of SGLT-2 inhibitors for patients with heart failure: A two-center analysis
    Teja Chakrala, Roshni O. Prakash, Justin Kim, Hanzhi Gao, Umar Ghaffar, Jaymin Patel, Alex Parker, Bhagwan Dass
    American Heart Journal Plus: Cardiology Research and Practice.2023; 28: 100286.     CrossRef
  • Risk of developing chronic kidney disease in young-onset Type 2 diabetes in Korea
    Joonyub Lee, Seung-Hwan Lee, Kun-Ho Yoon, Jae Hyoung Cho, Kyungdo Han, Yeoree Yang
    Scientific Reports.2023;[Epub]     CrossRef
  • Comparison of SGLT2 inhibitors with DPP-4 inhibitors combined with metformin in patients with acute myocardial infarction and diabetes mellitus
    Young Sang Lyu, Seok Oh, Jin Hwa Kim, Sang Yong Kim, Myung Ho Jeong
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis
    Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon
    Endocrinology and Metabolism.2022; 37(5): 759.     CrossRef
Cardiovascular Risk/Epidemiology
Article image
Mean and Variability of Lipid Measurements and Risk for Development of Subclinical Left Ventricular Diastolic Dysfunction
Jiyun Park, Mira Kang, Jiyeon Ahn, Min Young Kim, Min Sun Choi, You-Bin Lee, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Jeong Hoon Yang, Sang-Man Jin
Diabetes Metab J. 2022;46(2):286-296.   Published online November 22, 2021
DOI: https://doi.org/10.4093/dmj.2021.0080
  • 6,518 View
  • 219 Download
  • 2 Web of Science
  • 4 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Subclinical left ventricular diastolic dysfunction (LVDD) is an emerging consequence of increased insulin resistance, and dyslipidemia is one of the few correctable risk factors of LVDD. This study evaluated the role of mean and visit-to-visit variability of lipid measurements in risk of LVDD in a healthy population.
Methods
This was a 3.7-year (interquartile range, 2.1 to 4.9) longitudinal cohort study including 2,817 adults (median age 55 years) with left ventricular ejection fraction >50% who underwent an annual or biannual health screening between January 2008 and July 2016. The mean, standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), and average real variability of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein B (apoB), non-HDL-C, and triglycerides were obtained from three to six measurements during the 5 years preceding the first echocardiogram.
Results
Among the 2,817 patients, 560 (19.9%) developed LVDD. The mean of no component of lipid measurements was associated with risk of LVDD. CV (hazard ratio [HR], 1.35; 95% confidence interval [CI], 1.10 to 1.67), SD (HR, 1.27; 95% CI, 1.03 to 1.57), and VIM (HR, 1.26; 95% CI, 1.03 to 1.55) of LDL-C and all the variability parameters of apoB were significantly associated with development of LVDD. The association between CV-LDL and risk of LVDD did not have significant interaction with sex, increasing/decreasing trend at baseline, or use of stain and/or lipid-modifying agents.
Conclusion
The variability of LDL-C and apoB, rather than their mean, was associated with risk for LVDD.

Citations

Citations to this article as recorded by  
  • Greater variability in HDL-C was associated with an increased risk of cognitive decline in the middle- and elderly Chinese: A cohort study
    Lili Luo, Wei Feng, Mei Mei, Xue Tian, Yuhan Zhao, Lulu Liu, Zemeng Zhao, Hui Luo, Xiuhua Guo, Lixin Tao, Xiangtong Liu, Xiaonan Wang, Yanxia Luo
    Archives of Gerontology and Geriatrics.2024; 125: 105503.     CrossRef
  • Lipid Variability Induces Endothelial Dysfunction by Increasing Inflammation and Oxidative Stress
    Marie Rhee, Joonyub Lee, Eun Young Lee, Kun-Ho Yoon, Seung-Hwan Lee
    Endocrinology and Metabolism.2024; 39(3): 511.     CrossRef
  • Separate and Joint Associations of Remnant Cholesterol Accumulation and Variability With Carotid Atherosclerosis: A Prospective Cohort Study
    Jinqi Wang, Rui Jin, Xiaohan Jin, Zhiyuan Wu, Haiping Zhang, Ze Han, Zongkai Xu, Yueruijing Liu, Xiaoyu Zhao, Xiuhua Guo, Lixin Tao
    Journal of the American Heart Association.2023;[Epub]     CrossRef
  • Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
    Hye Jin Yoo
    Diabetes & Metabolism Journal.2022; 46(2): 257.     CrossRef
Drug/Regimen
Article image
Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study)
Ji Cheol Bae, Soo Heon Kwak, Hyun Jin Kim, Sang-Yong Kim, You-Cheol Hwang, Sunghwan Suh, Bok Jin Hyun, Ji Eun Cha, Jong Chul Won, Jae Hyeon Kim
Diabetes Metab J. 2022;46(1):81-92.   Published online June 16, 2021
DOI: https://doi.org/10.4093/dmj.2021.0016
  • 8,711 View
  • 450 Download
  • 5 Web of Science
  • 5 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate the effects of teneligliptin on glycosylated hemoglobin (HbA1c) levels, continuous glucose monitoring (CGM)-derived time in range, and glycemic variability in elderly type 2 diabetes mellitus patients.
Methods
This randomized, double-blinded, placebo-controlled study was conducted in eight centers in Korea (clinical trial registration number: NCT03508323). Sixty-five participants aged ≥65 years, who were treatment-naïve or had been treated with stable doses of metformin, were randomized at a 1:1 ratio to receive 20 mg of teneligliptin (n=35) or placebo (n=30) for 12 weeks. The main endpoints were the changes in HbA1c levels from baseline to week 12, CGM metrics-derived time in range, and glycemic variability.
Results
After 12 weeks, a significant reduction (by 0.84%) in HbA1c levels was observed in the teneligliptin group compared to that in the placebo group (by 0.08%), with a between-group least squares mean difference of –0.76% (95% confidence interval [CI], –1.08 to –0.44). The coefficient of variation, standard deviation, and mean amplitude of glycemic excursion significantly decreased in participants treated with teneligliptin as compared to those in the placebo group. Teneligliptin treatment significantly decreased the time spent above 180 or 250 mg/dL, respectively, without increasing the time spent below 70 mg/dL. The mean percentage of time for which glucose levels remained in the 70 to 180 mg/dL time in range (TIR70–180) at week 12 was 82.0%±16.0% in the teneligliptin group, and placebo-adjusted change in TIR70–180 from baseline was 13.3% (95% CI, 6.0 to 20.6).
Conclusion
Teneligliptin effectively reduced HbA1c levels, time spent above the target range, and glycemic variability, without increasing hypoglycemia in our study population.

Citations

Citations to this article as recorded by  
  • Comparison of teneligliptin and other gliptin-based regimens in addressing insulin resistance and glycemic control in type 2 diabetic patients: a cross-sectional study
    Harmanjit Singh, Ravi Rohilla, Shivani Jaswal, Mandeep Singla
    Expert Review of Endocrinology & Metabolism.2024; 19(1): 81.     CrossRef
  • Potential approaches using teneligliptin for the treatment of type 2 diabetes mellitus: current status and future prospects
    Harmanjit Singh, Jasbir Singh, Ravneet Kaur Bhangu, Mandeep Singla, Jagjit Singh, Farideh Javid
    Expert Review of Clinical Pharmacology.2023; 16(1): 49.     CrossRef
  • Mechanism of molecular interaction of sitagliptin with human DPP4 enzyme - New Insights
    Michelangelo Bauwelz Gonzatti, José Edvar Monteiro Júnior, Antônio José Rocha, Jonathas Sales de Oliveira, Antônio José de Jesus Evangelista, Fátima Morgana Pio Fonseca, Vânia Marilande Ceccatto, Ariclécio Cunha de Oliveira, José Ednésio da Cruz Freire
    Advances in Medical Sciences.2023; 68(2): 402.     CrossRef
  • A prospective multicentre open label study to assess effect of Teneligliptin on glycemic control through parameters of time in range (TIR) Metric using continuous glucose monitoring (TOP-TIR study)
    Banshi Saboo, Suhas Erande, A.G. Unnikrishnan
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2022; 16(2): 102394.     CrossRef
  • Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
    Min Jeong Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2022; 46(1): 49.     CrossRef
Technology/Device
Article image
Do-It-Yourself Open Artificial Pancreas System in Children and Adolescents with Type 1 Diabetes Mellitus: Real-World Data
Min Sun Choi, Seunghyun Lee, Jiwon Kim, Gyuri Kim, Sung Min Park, Jae Hyeon Kim
Diabetes Metab J. 2022;46(1):154-159.   Published online November 23, 2021
DOI: https://doi.org/10.4093/dmj.2021.0011
  • 6,034 View
  • 208 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Few studies have been conducted among Asian children and adolescents with type 1 diabetes mellitus (T1DM) using do-it-yourself artificial pancreas system (DIY-APS). We evaluated real-world data of pediatric T1DM patients using DIY-APS. Data were obtained for 10 patients using a DIY-APS with algorithms. We collected sensor glucose and insulin delivery data from each participant for a period of 4 weeks. Average glycosylated hemoglobin was 6.2%±0.3%. The mean percentage of time that glucose level remained in the target range of 70 to 180 mg/dL was 82.4%±7.8%. Other parameters including time above range, time below range and mean glucose were also within the recommended level, similar to previous commercial and DIY-APS studies. However, despite meeting the target range, unadjusted gaps were still observed between the median basal setting and temporary basal insulin, which should be handled by healthcare providers.

Citations

Citations to this article as recorded by  
  • Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control
    Jee Hee Yoo, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 27.     CrossRef
  • Open-source automated insulin delivery systems (OS-AIDs) in a pediatric population with type 1 diabetes in a real-life setting: the AWeSoMe study group experience
    Judith Nir, Marianna Rachmiel, Abigail Fraser, Yael Lebenthal, Avivit Brener, Orit Pinhas-Hamiel, Alon Haim, Eve Stern, Noa Levek, Tal Ben-Ari, Zohar Landau
    Endocrine.2023; 81(2): 262.     CrossRef
  • Efficacy and safety of Android artificial pancreas system use at home among adults with type 1 diabetes mellitus in China: protocol of a 26-week, free-living, randomised, open-label, two-arm, two-phase, crossover trial
    Mengyun Lei, Beisi Lin, Ping Ling, Zhigu Liu, Daizhi Yang, Hongrong Deng, Xubin Yang, Jing Lv, Wen Xu, Jinhua Yan
    BMJ Open.2023; 13(8): e073263.     CrossRef
  • Barriers to Uptake of Open-Source Automated Insulin Delivery Systems: Analysis of Socioeconomic Factors and Perceived Challenges of Caregivers of Children and Adolescents With Type 1 Diabetes From the OPEN Survey
    Antonia Huhndt, Yanbing Chen, Shane O’Donnell, Drew Cooper, Hanne Ballhausen, Katarzyna A. Gajewska, Timothée Froment, Mandy Wäldchen, Dana M. Lewis, Klemens Raile, Timothy C. Skinner, Katarina Braune
    Frontiers in Clinical Diabetes and Healthcare.2022;[Epub]     CrossRef
  • Toward Personalized Hemoglobin A1c Estimation for Type 2 Diabetes
    Namho Kim, Da Young Lee, Wonju Seo, Nan Hee Kim, Sung-Min Park
    IEEE Sensors Journal.2022; 22(23): 23023.     CrossRef
Time in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control
Jee Hee Yoo, Jae Hyeon Kim
Diabetes Metab J. 2021;45(5):795-795.   Published online September 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0256
Corrects: Diabetes Metab J 2020;44(6):828
  • 3,399 View
  • 100 Download
PDFPubReader   ePub   
Guideline/Fact Sheet
Article image
2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim, Sang Youl Rhee, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim, Chong Hwa Kim, Dae Jung Kim, SungWan Chun, Eun-Jung Rhee, Hyun Min Kim, Hyun Jung Kim, Donghyun Jee, Jae Hyun Kim, Won Seok Choi, Eun-Young Lee, Kun-Ho Yoon, Seung-Hyun Ko, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2021;45(4):461-481.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0156
  • 27,779 View
  • 1,710 Download
  • 142 Web of Science
  • 157 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
The Committee of Clinical Practice Guidelines of the Korean Diabetes Association (KDA) updated the previous clinical practice guidelines for Korean adults with diabetes and prediabetes and published the seventh edition in May 2021. We performed a comprehensive systematic review of recent clinical trials and evidence that could be applicable in real-world practice and suitable for the Korean population. The guideline is provided for all healthcare providers including physicians, diabetes experts, and certified diabetes educators across the country who manage patients with diabetes or the individuals at the risk of developing diabetes mellitus. The recommendations for screening diabetes and glucose-lowering agents have been revised and updated. New sections for continuous glucose monitoring, insulin pump use, and non-alcoholic fatty liver disease in patients with diabetes mellitus have been added. The KDA recommends active vaccination for coronavirus disease 2019 in patients with diabetes during the pandemic. An abridgement that contains practical information for patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by  
  • Physical stimuli-responsive polymeric patches for healthcare
    Yifan Cheng, Yuan Lu
    Bioactive Materials.2025; 43: 342.     CrossRef
  • Impact of Subclinical Atrial Function on the Prognosis of Patients With Atrial Fibrillation and Metabolic Syndrome
    Hyun-Jin Kim
    CardioMetabolic Syndrome Journal.2024; 4(1): 36.     CrossRef
  • Associations of omega-3 fatty acids vs. fenofibrate with adverse cardiovascular outcomes in people with metabolic syndrome: propensity matched cohort study
    Nam Hoon Kim, Ji Yoon Kim, Jimi Choi, Sin Gon Kim
    European Heart Journal - Cardiovascular Pharmacotherapy.2024; 10(2): 118.     CrossRef
  • A Multicenter, Randomized, Open-Label Study to Compare the Effects of Gemigliptin Add-on or Escalation of Metformin Dose on Glycemic Control and Safety in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Treated with Metformin and SGLT-2 Inh
    Hae Jin Kim, Jung Hyun Noh, Min Kyong Moon, Sung Hee Choi, Seung-Hyun Ko, Eun-Jung Rhee, Kyu Yeon Hur, In-Kyung Jeong, Mark Yorek
    Journal of Diabetes Research.2024; 2024: 1.     CrossRef
  • Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
    Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
    Diabetes Therapy.2024; 15(2): 547.     CrossRef
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah B. Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024; 26(6): 394.     CrossRef
  • Association between Dyslipidemia and Glycated Hemoglobin in a Population-Based Study
    Purum Kang, Ka Young Kim, Hye Young Shin
    Metabolites.2024; 14(2): 92.     CrossRef
  • Outcomes of Various Classes of Oral Antidiabetic Drugs on Nonalcoholic Fatty Liver Disease
    Heejoon Jang, Yeonjin Kim, Dong Hyeon Lee, Sae Kyung Joo, Bo Kyung Koo, Soo Lim, Woojoo Lee, Won Kim
    JAMA Internal Medicine.2024; 184(4): 375.     CrossRef
  • Effect of Pravastatin on Kidney Function in Patients with Dyslipidemia and Type 2 Diabetes Mellitus: A Multicenter Prospective Observational Study
    Hae Jin Kim, Kyu Yeon Hur, Yong-Ho Lee, Jin Taek Kim, Yong-Kyu Lee, Ki-Hyun Baek, Euy Jin Choi, Won Min Hwang, Ki Tae Bang, Jung Soo Lim, Yun Jae Chung, Sung Rae Jo, Joon Seok Oh, Soon Hee Lee, Seung-Hyun Ko, Sung Hee Choi
    Advances in Therapy.2024; 41(8): 3119.     CrossRef
  • Demand and Requirements for a Digital Healthcare System to Manage Gestational Diabetes in Patients and Healthcare Professionals: A Cross-sectional Survey
    Jin Yu, Oyoung Kim, Byung Soo Kang, Seon Ui Lee, Youn Ju Lee, Han Sung Hwang, Seung Mi Lee, Seung Chul Kim, Yoon-Hee Choi, Hyun Sun Ko
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2024;[Epub]     CrossRef
  • View on Metformin: Antidiabetic and Pleiotropic Effects, Pharmacokinetics, Side Effects, and Sex-Related Differences
    Guglielmina Froldi
    Pharmaceuticals.2024; 17(4): 478.     CrossRef
  • Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1235.     CrossRef
  • Inhibition of sodium-glucose cotransporter-2 and liver-related complications in individuals with diabetes: a Mendelian randomization and population-based cohort study
    Sung Won Chung, Hye-Sung Moon, Hyunjae Shin, Hyein Han, Sehoon Park, Heejin Cho, Jeayeon Park, Moon Haeng Hur, Min Kyung Park, Sung-Ho Won, Yun Bin Lee, Eun Ju Cho, Su Jong Yu, Dong Ki Kim, Jung-Hwan Yoon, Jeong-Hoon Lee, Yoon Jun Kim
    Hepatology.2024;[Epub]     CrossRef
  • Health and Productivity Benefits with Early Intensified Treatment in Patients with Type 2 Diabetes: Results from Korea
    Foteini Tsotra, Ankur Malhotra, Platon Peristeris, Ioannis Athanasiou, Malina Müller, Giovanni Bader
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2024;[Epub]     CrossRef
  • Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add‐on therapy in drug‐naïve patients with type 2 diabetes (TRIPLE‐AXEL study): A multicentre, randomized, 104‐week, open‐
    Nam Hoon Kim, Jun Sung Moon, Yong‐ho Lee, Ho Chan Cho, Soo Heon Kwak, Soo Lim, Min Kyong Moon, Dong‐Lim Kim, Tae Ho Kim, Eunvin Ko, Juneyoung Lee, Sin Gon Kim
    Diabetes, Obesity and Metabolism.2024; 26(9): 3642.     CrossRef
  • Diagnostic performance of non-invasive tests in patients with MetALD in a health check-up cohort
    Joo Hyun Oh, Sang Bong Ahn, Seon Cho, Eun-Hee Nah, Eileen L. Yoon, Dae Won Jun
    Journal of Hepatology.2024;[Epub]     CrossRef
  • Age-specific association between meal-skipping patterns and the risk of hyperglycemia in Korean adults: a national cross-sectional study using the KNHANES data
    Yeonji Kang, Minji Kang, Hyunjung Lim
    BMC Public Health.2024;[Epub]     CrossRef
  • Assessment of the information provided by ChatGPT regarding exercise for patients with type 2 diabetes: a pilot study
    Seung Min Chung, Min Cheol Chang
    BMJ Health & Care Informatics.2024; 31(1): e101006.     CrossRef
  • Islet transplantation in Korea
    Joonyub Lee, Kun‐Ho Yoon
    Journal of Diabetes Investigation.2024; 15(9): 1165.     CrossRef
  • Serum Homocysteine Levels and All-Cause and Cause-Specific Mortality in Korean Adult Men: A Cohort Study
    Minyoung Kim, Sujeong Shin, Eunsol Yoo, Jae-Heon Kang, Eunju Sung, Cheol-Hwan Kim, Hocheol Shin, Mi Yeon Lee
    Nutrients.2024; 16(16): 2759.     CrossRef
  • Recent Findings on Exercise Therapy for Blood Glucose Management in Patients with Gestational Diabetes
    Ah Reum Jung, Yongsuk Seo, Jooyoung Lee, Jae Gu Hwang, Somi Yun, Dae Taek Lee
    Journal of Clinical Medicine.2024; 13(17): 5004.     CrossRef
  • Myosteatosis Predicts Bariatric Surgery Response: A Longitudinal Study in Patients With Morbid Obesity
    Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Efficacy and safety of dapagliflozin add‐on to evogliptin plus metformin therapy in patients with type 2 diabetes: A randomized, double‐blind, placebo‐controlled study
    In‐Kyung Jeong, Kyung Mook Choi, Kyung Ah Han, Kyoung‐Ah Kim, In Joo Kim, Seung Jin Han, Won Young Lee, Soon Jib Yoo
    Diabetes, Obesity and Metabolism.2024; 26(11): 5065.     CrossRef
  • Long-Term Glycemic Control Improvement After the Home and Self-Care Program for Patients With Type 1 Diabetes: Real-World–Based Cohort Study
    Dae-Jeong Koo, Sun-Joon Moon, Suhyeon Moon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee, Cheol-Young Park
    Journal of Medical Internet Research.2024; 26: e60023.     CrossRef
  • Analytical performance evaluation of the GreenCare A1c and Cera-Stat HbA1c point-of-care testing assays
    Joon Hee Lee, Sun-Hee Jun, Jikyo Lee, Sang Hoon Song, Kyunghoon Lee
    Annals of Clinical Biochemistry: International Journal of Laboratory Medicine.2024;[Epub]     CrossRef
  • Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial
    Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park
    Diabetes, Obesity and Metabolism.2023; 25(1): 110.     CrossRef
  • Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study
    Sang-Yong Kim, Sungrae Kim
    Diabetes Therapy.2023; 14(1): 109.     CrossRef
  • Low Skeletal Muscle Mass Accompanied by Abdominal Obesity Additively Increases the Risk of Incident Type 2 Diabetes
    Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Jae Hwan Jee, Jae Hyeon Kim
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(5): 1173.     CrossRef
  • Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
    Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
    The Korean Journal of Internal Medicine.2023; 38(1): 93.     CrossRef
  • Justicia carnea extracts ameliorated hepatocellular damage in streptozotocin-induced type 1 diabetic male rats via decrease in oxidative stress, inflammation and increasing other risk markers
    John Adeolu Falode, Oluwaseun Igbekele Ajayi, Tolulope Victoria Isinkaye, Akinwunmi Oluwaseun Adeoye, Basiru Olaitan Ajiboye, Bartholomew I. C. Brai
    Biomarkers.2023; 28(2): 177.     CrossRef
  • Sex differences in the impact of diabetes mellitus on tuberculosis recurrence: a retrospective national cohort study
    Dararat Eksombatchai, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang
    International Journal of Infectious Diseases.2023; 127: 1.     CrossRef
  • The Predictive Ability of C-Peptide in Distinguishing Type 1 Diabetes From Type 2 Diabetes: A Systematic Review and Meta-Analysis
    Sajid Iqbal, Abdulrahim Abu Jayyab, Ayah Mohammad Alrashdi, Silvia Reverté-Villarroya
    Endocrine Practice.2023; 29(5): 379.     CrossRef
  • Anagliptin twice‐daily regimen improves glycaemic variability in subjects with type 2 diabetes: A double‐blind, randomized controlled trial
    Yong‐ho Lee, Doo‐Man Kim, Jae Myung Yu, Kyung Mook Choi, Sin Gon Kim, Kang Seo Park, Hyun‐Shik Son, Choon Hee Chung, Kyu Jeung Ahn, Soon Hee Lee, Ki‐Ho Song, Su Kyoung Kwon, Hyeong Kyu Park, Kyu Chang Won, Hak Chul Jang
    Diabetes, Obesity and Metabolism.2023; 25(5): 1174.     CrossRef
  • Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes
    Xiaomin Fu, Yuhan Wang, Ryan S. Cates, Nan Li, Jing Liu, Dianshan Ke, Jinghua Liu, Hongzhou Liu, Shuangtong Yan
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • The Efficacy of Treatment Intensification by Quadruple Oral Therapy Compared to GLP-1RA Therapy in Poorly Controlled Type 2 Diabetes Mellitus Patients: A Real-world Data Study
    Minyoung Kim, Hosu Kim, Kyong Young Kim, Soo Kyoung Kim, Junghwa Jung, Jong Ryeal Hahm, Jaehoon Jung, Jong Ha Baek
    Diabetes & Metabolism Journal.2023; 47(1): 135.     CrossRef
  • Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance
    Jun Sung Moon, Nam Hoon Kim, Jin Oh Na, Jae Hyoung Cho, In-Kyung Jeong, Soon Hee Lee, Ji-Oh Mok, Nan Hee Kim, Dong Jin Chung, Jinhong Cho, Dong Woo Lee, Sun Woo Lee, Kyu Chang Won
    Diabetes & Metabolism Journal.2023; 47(1): 82.     CrossRef
  • Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    International Journal of Heart Failure.2023; 5(1): 1.     CrossRef
  • Influenza vaccination trend and related factors among patients with diabetes in Korea: Analysis using a nationwide database
    Dong-Hwa Lee, Bumhee Yang, Seonhye Gu, Eung-Gook Kim, Youlim Kim, Hyung Koo Kang, Yeong Hun Choe, Hyun Jeong Jeon, Seungyong Park, Hyun Lee
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
    Ji Yoon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 42.     CrossRef
  • Evaluation and Management of Patients with Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 10.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Association between Low-Density Lipoprotein Cholesterol Level and Cardiovascular Outcomes in Korean Adults: A Nationwide Cohort Study
    Junghyun Noh, Min Kyong Moon, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(1): 59.     CrossRef
  • Analysis of the Incidence of Type 2 Diabetes, Requirement of Insulin Treatment, and Diabetes-Related Complications among Patients with Cancer
    Su Jung Lee, Chulho Kim, Hyunjae Yu, Dong-Kyu Kim
    Cancers.2023; 15(4): 1094.     CrossRef
  • The 2022 focused update of the 2018 Korean Hypertension Society Guidelines for the management of hypertension
    Hack-Lyoung Kim, Eun Mi Lee, Shin Young Ahn, Kwang-il Kim, Hyeon Chang Kim, Ju Han Kim, Hae-Young Lee, Jang Hoon Lee, Jong-Moo Park, Eun Joo Cho, Sungha Park, Jinho Shin, Young-Kwon Kim
    Clinical Hypertension.2023;[Epub]     CrossRef
  • Consistency of 1-day and 3-day average dietary intake and the relationship of dietary intake with blood glucose, hbA1c, BMI, and lipids in patients with type 2 diabetes
    DaeEun Lee, Haejung Lee, Sangeun Lee, MinJin Lee, Ah Reum Khang
    Journal of Korean Biological Nursing Science.2023; 25(1): 20.     CrossRef
  • Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
    Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
    Diabetes & Metabolism.2023; 49(4): 101440.     CrossRef
  • Effect of olmesartan and amlodipine on serum angiotensin-(1–7) levels and kidney and vascular function in patients with type 2 diabetes and hypertension
    Kyuho Kim, Ji Hye Moon, Chang Ho Ahn, Soo Lim
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Menopausal hormone therapy and the risk of type 2 diabetes mellitus: Health Insurance Database in South Korea–based retrospective cohort study
    Jin-Sung Yuk, Jung Min Kim
    Menopause.2023; 30(5): 497.     CrossRef
  • Intensified Multifactorial Intervention in Patients with Type 2 Diabetes Mellitus
    Takayoshi Sasako, Toshimasa Yamauchi, Kohjiro Ueki
    Diabetes & Metabolism Journal.2023; 47(2): 185.     CrossRef
  • Association between antidiabetic drugs and the incidence of atrial fibrillation in patients with type 2 diabetes: A nationwide cohort study in South Korea
    Sunyoung Kim, So Young Park, Bongseong Kim, Chanyang Min, Wonyoung Cho, Dong Keon Yon, Joo Young Kim, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee, Sang Youl Rhee
    Diabetes Research and Clinical Practice.2023; 198: 110626.     CrossRef
  • Totally robotic Roux-en-Y gastric bypass in a morbidly obese patient in Korea: a case report
    Ji Won Seo, Kyong-Hwa Jun
    Journal of Minimally Invasive Surgery.2023; 26(1): 40.     CrossRef
  • Effect of diabetes-specific oral nutritional supplements with allulose on weight and glycemic profiles in overweight or obese type 2 diabetic patients
    Jihye Tak, Minkyung Bok, Hyunkyung Rho, Ju Hyun Park, Yunsook Lim, Suk Chon, Hyunjung Lim
    Nutrition Research and Practice.2023; 17(2): 241.     CrossRef
  • Associations Between Modifiable Risk Factors and Changes in Glycemic Status Among Individuals With Prediabetes
    Salma Nabila, Ji-Eun Kim, Jaesung Choi, JooYong Park, Aesun Shin, Sang-Ah Lee, Jong-koo Lee, Daehee Kang, Ji-Yeob Choi
    Diabetes Care.2023; 46(3): 535.     CrossRef
  • Efficacy and safety of enavogliflozin, a novel SGLT2 inhibitor, in Korean people with type 2 diabetes: A 24‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase III trial
    Soo Heon Kwak, Kyung Ah Han, Kyung‐Soo Kim, Jae Myung Yu, EunSook Kim, Jong Chul Won, Jun Goo Kang, Choon Hee Chung, Seungjoon Oh, Sung Hee Choi, Kyu Chang Won, Sin Gon Kim, Seung Ah Cho, Bo Young Cho, Kyong Soo Park
    Diabetes, Obesity and Metabolism.2023; 25(7): 1865.     CrossRef
  • Adjusting the Use of Glucose-Lowering Agents in the Real-World Clinical Management of People with Type 2 Diabetes: A Narrative Review
    Siew Pheng Chan, Lee-Ling Lim, Juliana C. N. Chan, David R. Matthews
    Diabetes Therapy.2023; 14(5): 823.     CrossRef
  • The association of perfluoroalkyl substances (PFAS) exposure and kidney function in Korean adolescents using data from Korean National Environmental Health Survey (KoNEHS) cycle 4 (2018–2020): a cross-sectional study
    Jisuk Yun, Eun-Chul Jang, Soon-Chan Kwon, Young-Sun Min, Yong-Jin Lee
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • A Comparison of the Pharmacokinetics and Safety of Dapagliflozin Formate, an Ester Prodrug of Dapagliflozin, to Dapagliflozin Propanediol Monohydrate in Healthy Subjects
    Hyun Chul Kim, Sangmi Lee, Siyoung Sung, Eunjin Kim, In-Jin Jang, Jae-Yong Chung
    Drug Design, Development and Therapy.2023; Volume 17: 1203.     CrossRef
  • Efficacy and safety of monotherapy with enavogliflozin in Korean patients with type 2 diabetes mellitus: Results of a 12‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase 2 trial
    Ye Seul Yang, Kyung Wan Min, Seok‐O Park, Kyung‐Soo Kim, Jae Myung Yu, Eun‐Gyoung Hong, Sung Rae Cho, Kyu Chang Won, Yong Hyun Kim, Seungjoon Oh, Sung Hee Choi, Gwanpyo Koh, Wan Huh, Su Young Kim, Kyong Soo Park
    Diabetes, Obesity and Metabolism.2023; 25(8): 2096.     CrossRef
  • An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results From a Randomized Controlled Trial
    You-Bin Lee, Gyuri Kim, Ji Eun Jun, Hyunjin Park, Woo Je Lee, You-Cheol Hwang, Jae Hyeon Kim
    Diabetes Care.2023; 46(5): 959.     CrossRef
  • Performance of Simple Fibrosis Score in Non-Alcoholic Fatty Liver Disease with and without Type 2 Diabetes
    Seung Min Chung, Min Kyu Kang, Jun Sung Moon, Jung Gil Park
    Endocrinology and Metabolism.2023; 38(2): 277.     CrossRef
  • Correlation analysis of cancer incidence after pravastatin treatment
    Jin Yu, Raeun Kim, Jiwon Shinn, Man Young Park, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 61.     CrossRef
  • Comparison of the effects of gemigliptin versus glimepiride on cardiac function in patients with type 2 diabetes uncontrolled with metformin: The gemi‐heart study
    Seung Min Chung, Jun Sung Moon, Jun Hwa Hong, In‐Chang Hwang, Soo Lim
    Diabetes, Obesity and Metabolism.2023; 25(8): 2181.     CrossRef
  • The era of continuous glucose monitoring and its expanded role in type 2 diabetes
    Jin Yu, Jae‐Hyoung Cho, Seung‐Hwan Lee
    Journal of Diabetes Investigation.2023; 14(7): 841.     CrossRef
  • Impact of continuous glucose monitoring on glycemic control and its derived metrics in type 1 diabetes: a longitudinal study
    So Hyun Cho, Seohyun Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
    Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Asia-Pacific consensus recommendations for application of continuous glucose monitoring in diabetes management
    Alice P.S. Kong, Soo Lim, Seung-Hyun Yoo, Linong Ji, Liming Chen, Yuqian Bao, Ester Yeoh, Siew-Pheng Chan, Chih-Yuan Wang, Viswanathan Mohan, Neale Cohen, Margaret J. McGill, Stephen M. Twigg
    Diabetes Research and Clinical Practice.2023; 201: 110718.     CrossRef
  • Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
    Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
    BMC Public Health.2023;[Epub]     CrossRef
  • Fatty Liver & Diabetes Statistics in Korea: Nationwide Data 2009 to 2017
    Eugene Han, Kyung-Do Han, Yong-ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park
    Diabetes & Metabolism Journal.2023; 47(3): 347.     CrossRef
  • Opening the Precision Diabetes Care through Digital Healthcare
    Joonyub Lee, Jin Yu, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2023; 47(3): 307.     CrossRef
  • Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study
    You-Bin Lee, Minjee Kim, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(3): 405.     CrossRef
  • Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
    Jun Sung Moon
    Diabetes & Metabolism Journal.2023; 47(3): 345.     CrossRef
  • Lost in translation: assessing the nomenclature change for diabetic kidney disease in Japan
    Tetsuya Babazono, Tatsumi Moriya
    Diabetology International.2023; 14(4): 319.     CrossRef
  • Effects of dapagliflozin compared with glimepiride on body composition in Asian patients with type 2 diabetes inadequately controlled with metformin: The BEYOND study
    Hyeong Kyu Park, Kyoung‐Ah Kim, Kyung‐Wan Min, Tae‐Seo Sohn, In Kyung Jeong, Chul Woo Ahn, Nan‐Hee Kim, Ie Byung Park, Ho Chan Cho, Choon Hee Chung, Sung Hee Choi, Kang Seo Park, Seoung‐Oh Yang, Kwan Woo Lee
    Diabetes, Obesity and Metabolism.2023; 25(9): 2743.     CrossRef
  • Topic Modeling Analysis of Diabetes-Related Health Information during the Coronavirus Disease Pandemic
    Soyoon Min, Jeongwon Han
    Healthcare.2023; 11(13): 1871.     CrossRef
  • Screening Test for Evaluation of Cardiovascular Disease in Patients with Diabetes
    Ji-Oh Mok, Chan-Hee Jung
    The Journal of Korean Diabetes.2023; 24(2): 76.     CrossRef
  • Paradigm Shift in Management of Hyperglycemia in Patients with Type 2 Diabetes: Glucocentric versus Organ Protection
    Jong Chul Won
    The Journal of Korean Diabetes.2023; 24(2): 59.     CrossRef
  • Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
    You Lee Yang, Eun-Ok Im, Yunmi Kim
    BMC Nursing.2023;[Epub]     CrossRef
  • Fibrotic Burden in the Liver Differs Across Metabolic Dysfunction-Associated Fatty Liver Disease Subtypes
    Tae Seop Lim, Ho Soo Chun, Soon Sun Kim, Ja Kyung Kim, Minjong Lee, Hyo Jung Cho, Seung Up Kim, Jae Youn Cheong
    Gut and Liver.2023; 17(4): 610.     CrossRef
  • Association between the number of pregnancies and cardiac target organ damages: a cross-sectional analysis of data from the Korean women’s chest pain registry (KoROSE)
    Hack-Lyoung Kim, Hyun-Jin Kim, Mina Kim, Sang Min Park, Hyun Ju Yoon, Young Sup Byun, Seong-Mi Park, Mi-Seung Shin, Kyung-Soon Hong, Myung-A Kim
    BMC Women's Health.2023;[Epub]     CrossRef
  • Exercise therapy for diabetes mellitus
    Chaiho Jeong, Tae-Seo Sohn
    Journal of the Korean Medical Association.2023; 66(7): 427.     CrossRef
  • Medical nutrition therapy for diabetes mellitus
    Suk Chon
    Journal of the Korean Medical Association.2023; 66(7): 421.     CrossRef
  • Identification of individuals at risk of hepatocellular carcinoma: screening for clinically significant liver fibrosis in patients with T2DM
    Tina Reinson, Ryan M Buchanan, Christopher D Byrne
    Expert Review of Endocrinology & Metabolism.2023; 18(5): 355.     CrossRef
  • Additive impact of diabetes and sarcopenia on all-cause and cardiovascular mortality: A longitudinal nationwide population-based study
    Eyun Song, Soon Young Hwang, Min Jeong Park, Ahreum Jang, Kyeong Jin Kim, Ji Hee Yu, Nam Hoon Kim, Hye Jin Yoo, Ji A. Seo, Sin Gon Kim, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi
    Metabolism.2023; 148: 155678.     CrossRef
  • Exposure to perfluoroalkyl and polyfluoroalkyl substances and risk of stroke in adults: a meta-analysis
    Min Cheol Chang, Seung Min Chung, Sang Gyu Kwak
    Reviews on Environmental Health.2023;[Epub]     CrossRef
  • Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
    Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
    Endocrinology and Metabolism.2023; 38(4): 426.     CrossRef
  • Incident infection risks depending on oral antidiabetic exposure in insulin-treated type 2 diabetes patients
    Sanghwa Park, Jiseon Jeong, Yunna Woo, Yeo Jin Choi, Sooyoung Shin
    Scientific Reports.2023;[Epub]     CrossRef
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2023; 12(3): 237.     CrossRef
  • Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
    Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
    Diabetes & Metabolism Journal.2023; 47(5): 643.     CrossRef
  • Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A State-of-the-Art Review
    Wah-Kheong Chan, Kee-Huat Chuah, Ruveena Bhavani Rajaram, Lee-Ling Lim, Jeyakantha Ratnasingam, Shireene Ratna Vethakkan
    Journal of Obesity & Metabolic Syndrome.2023; 32(3): 197.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(5): 632.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
    Diabetes & Metabolism Journal.2023; 47(5): 575.     CrossRef
  • Riesgo residual. Conclusiones
    Ángel Cequier, José Luis Zamorano
    Revista Española de Cardiología Suplementos.2023; 23: 25.     CrossRef
  • Intake of Fruit and Glycemic Control in Korean Patients with Diabetes Mellitus Using the Korea National Health and Nutrition Examination Survey
    Eunju Yoon, Ji Cheol Bae, Sunghwan Suh
    Endocrinology and Metabolism.2023; 38(5): 538.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
    Scientific Reports.2023;[Epub]     CrossRef
  • Coleus forskohlii Root Extract (ForcslimTM) as a Prospective Antidiabetic Agent: In vitro Glucose Uptake Stimulation and α-Amylase Inhibitory Effects
    Firoz Hirehal Hussain Mi, Channangihalli Thimmegowda Sadashiva, Neethumol Benny, Sreedrisya Ayippakkari Kuttiattu, Ravi Subban
    International Journal of Pharmacology.2023; 19(5): 730.     CrossRef
  • Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
    Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(6): 837.     CrossRef
  • Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program
    Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2023; 47(6): 846.     CrossRef
  • Strategies to Maintain the Remission of Diabetes Following Metabolic Surgery
    Mi Kyung Kim, Hye Soon Kim
    Journal of Metabolic and Bariatric Surgery.2023; 12(2): 26.     CrossRef
  • Information and Communications Technology (ICT)-based Monitoring Service for Tailored Chronic Disease Management in Primary Care: Cost-Effectiveness Analysis based on ICT-CM Trial Results (Preprint)
    Sung-Hee Oh, Jae-Heon Kang, Jin-Won Kwon
    Journal of Medical Internet Research.2023;[Epub]     CrossRef
  • East Asian perspectives in metabolic and bariatric surgery
    Tae Jung Oh, Hyuk‐Joon Lee, Young Min Cho
    Journal of Diabetes Investigation.2022; 13(5): 756.     CrossRef
  • Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
    Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
    Endocrinology and Metabolism.2022; 37(1): 26.     CrossRef
  • Association between Physical Exercise and Glycated Hemoglobin Levels in Korean Patients Diagnosed with Diabetes
    Il Yun, Hye Jin Joo, Yu Shin Park, Eun-Cheol Park
    International Journal of Environmental Research and Public Health.2022; 19(6): 3280.     CrossRef
  • Effectiveness and safety of teneligliptin added to patients with type 2 diabetes inadequately controlled by oral triple combination therapy: A multicentre, randomized, double‐blind, and placebo‐controlled study
    Minyoung Lee, Woo‐je Lee, Jae Hyeon Kim, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2022; 24(6): 1105.     CrossRef
  • Trends of severe hypoglycemia in patients with type 2 diabetes in Korea: A longitudinal nationwide cohort study
    Jae‐Seung Yun, Kyungdo Han, Seung‐Hyun Ko
    Journal of Diabetes Investigation.2022; 13(8): 1438.     CrossRef
  • GLP-1 receptor agonists in diabetic kidney disease: current evidence and future directions
    Ji Hee Yu, So Young Park, Da Young Lee, Nan Hee Kim, Ji A Seo
    Kidney Research and Clinical Practice.2022; 41(2): 136.     CrossRef
  • Cardiorenal Risk Profiles Among Data-Driven Type 2 Diabetes Sub-Phenotypes: A Post-Hoc Analysis of the China Health and Nutrition Survey
    Hui Gao, Kan Wang, Wensui Zhao, Jianlin Zhuang, Yu Jiang, Lei Zhang, Qingping Liu, Fariba Ahmadizar
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Individualized Medical Nutrition Therapy for Diabetic Patients according to Diabetes Medication
    Juyeon Park
    The Journal of Korean Diabetes.2022; 23(1): 50.     CrossRef
  • Critical shear stress of red blood cells as a novel integrated biomarker for screening chronic kidney diseases in cases of type 2 diabetes
    Il Rae Park, Jimi Choi, Eun Young Ha, Seung Min Chung, Jun Sung Moon, Sehyun Shin, Sin Gon Kim, Kyu Chang Won
    Clinical Hemorheology and Microcirculation.2022; 81(4): 293.     CrossRef
  • Effects of exercise on reducing diabetes risk in Korean women according to menopausal status
    Jung-Hwan Cho, Hye-Mi Kwon, Se-Eun Park, Ju-Hwan Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(2): 75.     CrossRef
  • Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
    Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Free Versus Fixed-Ratio Combination of Basal Insulin and GLP-1 Receptor Agonists in Type 2 Diabetes Uncontrolled With GLP-1 Receptor Agonists: A Systematic Review and Indirect Treatment Comparison
    Han Na Jung, Yun Kyung Cho, Se Hee Min, Hwi Seung Kim, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Obesity, hypertension, diabetes mellitus, and hypercholesterolemia in Korean adults before and during the COVID-19 pandemic: a special report of the 2020 Korea National Health and Nutrition Examination Survey
    Ga Bin Lee, Yoonjung Kim, Suyeon Park, Hyeon Chang Kim, Kyungwon Oh
    Epidemiology and Health.2022; 44: e2022041.     CrossRef
  • Adherence to healthy lifestyle behaviors as a preventable risk factor for severe hypoglycemia in people with type 2 diabetes: A longitudinal nationwide cohort study
    Jae‐Seung Yun, Kyungdo Han, Yong‐Moon Park, Eugene Han, Yong‐ho Lee, Seung‐Hyun Ko
    Journal of Diabetes Investigation.2022; 13(9): 1533.     CrossRef
  • Diabetes Fact Sheet in Korea 2021
    Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won
    Diabetes & Metabolism Journal.2022; 46(3): 417.     CrossRef
  • Comprehensive Understanding for Application in Korean Patients with Type 2 Diabetes Mellitus of the Consensus Statement on Carbohydrate-Restricted Diets by Korean Diabetes Association, Korean Society for the Study of Obesity, and Korean Society of Hyperte
    Jong Han Choi, Jee-Hyun Kang, Suk Chon
    Diabetes & Metabolism Journal.2022; 46(3): 377.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Diabetes & Metabolism Journal.2022; 46(3): 355.     CrossRef
  • Effect of carbohydrate-restricted diets and intermittent fasting on obesity, type 2 diabetes mellitus, and hypertension management: consensus statement of the Korean Society for the Study of obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Clinical Hypertension.2022;[Epub]     CrossRef
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
  • Tolerability and Effectiveness of Switching to Dulaglutide in Patients With Type 2 Diabetes Inadequately Controlled With Insulin Therapy
    Youngsook Kim, Ji Hye Huh, Minyoung Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Association of prediabetes with death and diabetic complications in older adults: the pros and cons of active screening for prediabetes
    Giwoong Choi, Hojun Yoon, Hyun Ho Choi, Kyoung Hwa Ha, Dae Jung Kim
    Age and Ageing.2022;[Epub]     CrossRef
  • Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
    Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
    BMJ Open Diabetes Research & Care.2022; 10(3): e002739.     CrossRef
  • Extra-Glycemic Effects of Anti-Diabetic Medications: Two Birds with One Stone?
    Eun-Jung Rhee
    Endocrinology and Metabolism.2022; 37(3): 415.     CrossRef
  • Pharmacological Treatment of Nonalcoholic Fatty Liver Disease: Antidiabetic Agents
    Kyung-Soo Kim
    The Journal of Korean Diabetes.2022; 23(2): 83.     CrossRef
  • Maintaining Physical Activity Is Associated with Reduced Major Adverse Cardiovascular Events in People Newly Diagnosed with Diabetes
    Duhoe Kim, Jaehun Seo, Kyoung Hwa Ha, Dae Jung Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 187.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 100.     CrossRef
  • Advanced Glycation End Products and Their Effect on Vascular Complications in Type 2 Diabetes Mellitus
    Jeongmin Lee, Jae-Seung Yun, Seung-Hyun Ko
    Nutrients.2022; 14(15): 3086.     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
    Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(4): 517.     CrossRef
  • Current status of obesity treatment in Korea: based on the 2020 Korean Society for the Study of Obesity guidelines for obesity management
    Eun-Jung Rhee
    Journal of the Korean Medical Association.2022; 65(7): 388.     CrossRef
  • Experiences of Using Wearable Continuous Glucose Monitors in Adults With Diabetes: A Qualitative Descriptive Study
    Hee Sun Kang, Hyang Rang Park, Chun-Ja Kim, Savitri Singh-Carlson
    The Science of Diabetes Self-Management and Care.2022; 48(5): 362.     CrossRef
  • 젊은 2형 당뇨병 환자의 관리
    재현 배
    Public Health Weekly Report.2022; 15(35): 2474.     CrossRef
  • Real-World Prescription Patterns and Barriers Related to the Use of Sodium-Glucose Cotransporter 2 Inhibitors among Korean Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease
    Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2022; 46(5): 701.     CrossRef
  • Low-Density Lipoprotein Cholesterol Level, Statin Use and Myocardial Infarction Risk in Young Adults
    Heekyoung Jeong, Kyungdo Han, Soon Jib Yoo, Mee Kyoung Kim
    Journal of Lipid and Atherosclerosis.2022; 11(3): 288.     CrossRef
  • Blood Pressure Target in Type 2 Diabetes Mellitus
    Hyun-Jin Kim, Kwang-il Kim
    Diabetes & Metabolism Journal.2022; 46(5): 667.     CrossRef
  • Association of underweight status with the risk of tuberculosis: a nationwide population-based cohort study
    Su Hwan Cho, Hyun Lee, Hyuktae Kwon, Dong Wook Shin, Hee-Kyung Joh, Kyungdo Han, Jin Ho Park, Belong Cho
    Scientific Reports.2022;[Epub]     CrossRef
  • Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • External validation and clinical application of the predictive model for severe hypoglycemia
    Jae-Seung Yun, Kyungdo Han, Soo-Yeon Choi, Seon-Ah Cha, Yu-Bae Ahn, Seung-Hyun Ko
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Effect of Euonymus alatus Extracts on Diabetes Related Markers in Pancreatic β-Cells and C57BL/Ksj-db/db Mice
    Ye Rin Kim, Eun-young Kim, Seong Uk Lee, Young Wan Kim, Yoon Hee Kim
    Journal of the Korean Society of Food Science and Nutrition.2022; 51(9): 894.     CrossRef
  • Muscle fat contents rather than muscle mass determines nonalcoholic steatohepatitis and liver fibrosis in patients with severe obesity
    Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
    Obesity.2022; 30(12): 2440.     CrossRef
  • Correlation between shift work and non-alcoholic fatty liver disease among male workers in the steel manufacturing company of Korea: a cross-sectional study
    Kiseok Kim, Yong-Jin Lee, Soon-Chan Kwon, Young-Sun Min, Hyun Kyo Lee, Gwangin Baek, Sang Hyeon Kim, Eun-Chul Jang
    Annals of Occupational and Environmental Medicine.2022;[Epub]     CrossRef
  • FGM-based remote intervention for adults with type 1 diabetes: The FRIEND randomized clinical trial
    Jinju Lee, Myeong Hoon Lee, Jiyun Park, Kyung-Soo Kim, Soo-Kyung Kim, Yong-Wook Cho, Hyun Wook Han, Young Shin Song
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
    Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
    Diabetes & Metabolism Journal.2022; 46(6): 819.     CrossRef
  • Blood Pressure Control in Patients with Diabetic Kidney Disease
    Yaeni Kim, Won Kim, Jwa-Kyung Kim, Ju Young Moon, Samel Park, Cheol Whee Park, Hoon Suk Park, Sang Heon Song, Tae-Hyun Yoo, So-Young Lee, Eun Young Lee, Jeonghwan Lee, Kyubok Jin, Dae Ryong Cha, Jin Joo Cha, Sang Youb Han
    Electrolytes & Blood Pressure.2022; 20(2): 39.     CrossRef
  • The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data
    Yoon Jeong Cho, Sohyun Park, Sung Soo Kim, Hyo Jin Park, Jang Won Son, Tae Kyung Lee, Sangmo Hong, Jee-Hyun Kang, Seon Mee Kim, Yang-Hyun Kim, Won Jun Kim, Young Eun Seo, Yoosuk An, Sang Youl Rhee, Suk Chon, Sookyoung Jeon, Kyungho Park, Bong-Soo Kim, Cha
    Journal of Obesity & Metabolic Syndrome.2022; 31(4): 303.     CrossRef
  • Oral Semaglutide, the First Ingestible Glucagon-Like Peptide-1 Receptor Agonist: Could It Be a Magic Bullet for Type 2 Diabetes?
    Hwi Seung Kim, Chang Hee Jung
    International Journal of Molecular Sciences.2021; 22(18): 9936.     CrossRef
  • Long-term effectiveness and safety of quadruple combination therapy with empagliflozin versus dapagliflozin in patients with type 2 diabetes: 3-year prospective observational study
    Eu Jeong Ku, Dong-Hwa Lee, Hyun Jeong Jeon, Tae Keun Oh
    Diabetes Research and Clinical Practice.2021; 182: 109123.     CrossRef
  • Albuminuria Is Associated with Steatosis Burden in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease (Diabetes Metab J 2021;45:698-707)
    Mi-kyung Kim
    Diabetes & Metabolism Journal.2021; 45(6): 968.     CrossRef
  • Incidence and Risk Factors for Progression to Diabetes Mellitus: A Retrospective Cohort Study
    Min Kyung Hyun, Jong Heon Park, Kyoung Hoon Kim, Soon-Ki Ahn, Seon Mi Ji
    International Journal of Environmental Research and Public Health.2021; 19(1): 123.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes: Pharmacotherapy and the Korean Diabetes Association Support System
    Kyu Yeon Hur
    The Journal of Korean Diabetes.2021; 22(4): 250.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk
    Min Kyong Moon
    The Journal of Korean Diabetes.2021; 22(4): 259.     CrossRef
Complications
Article image
Association of Urinary N-Acetyl-β-D-Glucosaminidase with Cardiovascular Autonomic Neuropathy in Type 1 Diabetes Mellitus without Nephropathy
Min Sun Choi, Ji Eun Jun, Sung Woon Park, Jee Hee Yoo, Jiyeon Ahn, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim
Diabetes Metab J. 2021;45(3):349-357.   Published online February 2, 2021
DOI: https://doi.org/10.4093/dmj.2019.0211
  • 6,229 View
  • 130 Download
  • 1 Web of Science
  • 2 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Background
Cardiovascular autonomic neuropathy (CAN) is a common microvascular complication of diabetes and related to albuminuria in diabetic nephropathy (DN). Urinary N-acetyl-β-D-glucosaminidase (uNAG) is a renal tubular injury marker which has been reported as an early marker of DN even in patients with normoalbuminuria. This study evaluated whether uNAG is associated with the presence and severity of CAN in patients with type 1 diabetes mellitus (T1DM) without nephropathy.
Methods
This cross-sectional study comprised 247 subjects with T1DM without chronic kidney disease and albuminuria who had results for both uNAG and autonomic function tests within 3 months. The presence of CAN was assessed by age-dependent reference values for four autonomic function tests. Total CAN score was assessed as the sum of the partial points of five cardiovascular reflex tests and was used to estimatethe severity of CAN. The correlations between uNAG and heart rate variability (HRV) parameters were analyzed.
Results
The association between log-uNAG and presence of CAN was significant in a multivariate logistic regression model (adjusted odds ratio, 2.39; 95% confidence interval [CI], 1.08 to 5.28; P=0.031). Total CAN score was positively associated with loguNAG (β=0.261, P=0.026) in the multivariate linear regression model. Log-uNAG was inversely correlated with frequency-domain and time-domain indices of HRV.
Conclusion
This study verified the association of uNAG with presence and severity of CAN and changes in HRV in T1DM patients without nephropathy. The potential role of uNAG should be further assessed for high-risk patients for CAN in T1DM patients without nephropathy.

Citations

Citations to this article as recorded by  
  • Determination of Diabetes-associated Cardiovascular Autonomic Neuropathy Risk Factors among Insulin and Non-insulin Dependent Diabetics
    Ibrahim Abdulsada, Zain Alabdeen Obaid, Farah Almerza, Mays Alwaeli, Anmar Al-Elayawi, Taha Al-Dayyeni, Harir Al-Tuhafy
    The Journal of Medical Research.2023; 9(6): 141.     CrossRef
  • Association between carotid atherosclerosis and presence of intracranial atherosclerosis using three-dimensional high-resolution vessel wall magnetic resonance imaging in asymptomatic patients with type 2 diabetes
    Ji Eun Jun, You-Cheol Hwang, Kyu Jeong Ahn, Ho Yeon Chung, Geon-Ho Jahng, Soonchan Park, In-Kyung Jeong, Chang-Woo Ryu
    Diabetes Research and Clinical Practice.2022; 191: 110067.     CrossRef
Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
Jong Ha Baek, Jae Hyeon Kim
Diabetes Metab J. 2021;45(2):281-282.   Published online March 25, 2021
DOI: https://doi.org/10.4093/dmj.2021.0040
  • 4,421 View
  • 74 Download
  • 2 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • RISK FACTORS FOR DIABETIC NEPHROPATHY IN DIABETES MELLITUS TYPE 1
    Muhannad Mahmood Mohammed, Esraa K. Alnajim, Mohammed Abed Abdul Hussein, Najah R. Hadi
    Wiadomości Lekarskie.2023; 76(1): 145.     CrossRef
  • Therapeutic potential of palm oil vitamin E-derived tocotrienols in inflammation and chronic diseases: Evidence from preclinical and clinical studies
    Zaida Zainal, Huzwah Khaza'ai, Ammu Kutty Radhakrishnan, Sui Kiat Chang
    Food Research International.2022; 156: 111175.     CrossRef
Type 1 Diabetes
Article image
Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus
Jong Ha Baek, Woo Je Lee, Byung-Wan Lee, Soo Kyoung Kim, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
Diabetes Metab J. 2021;45(1):46-54.   Published online July 10, 2020
DOI: https://doi.org/10.4093/dmj.2019.0134
  • 7,851 View
  • 252 Download
  • 14 Web of Science
  • 14 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The aim of this study was to evaluate characteristics and risk of diabetic complications according to age at diagnosis among young adults with type 1 diabetes mellitus (T1DM).

Methods

A total of 255 T1DM patients aged less than 40 years were included. Patients were categorized into three groups (<20, 20 to 29, and 30 to 40 years) according to age at diagnosis. Diabetic nephropathy (DN) was defined when spot urine-albumin creatinine ratio was 300 mg/g or more and/or estimated glomerular filtration ratio (eGFR) level was 60 mL/min/1.73 m2 or less.

Results

Median age at diagnosis was 25 years and disease duration was 14 years. Individuals diagnosed with T1DM at childhood/adolescent (age <20 years) had lower stimulated C-peptide levels. They received more intensive insulin treatment with higher total daily insulin doses compared to older onset groups. The prevalence of DN was higher in the childhood/adolescent-onset group than in older onset groups (25.3% vs. 15.3% vs. 9.6%, P=0.022). The eGFR was inversely associated with disease duration whilst the degree of decrease was more prominent in the childhood/adolescent-onset group than in the later onset group (aged 30 to 40 years; P<0.001). Childhood/adolescent-onset group was independently associated with the risk of DN compared to the older onset group (aged 30 to 40 years; odds ratio, 3.47; 95% confidence interval, 1.45 to 8.33; P=0.005).

Conclusion

In individuals with childhood/adolescent-onset T1DM, the reduction in renal function is more prominent with disease duration. Early age-onset T1DM is an independent risk of DN.

Citations

Citations to this article as recorded by  
  • Age at onset of type 1 diabetes between puberty and 30 years old is associated with increased diabetic nephropathy risk
    Yen-Bo Lin, Wayne Huey-Herng Sheu, Su-Huey Lo, Yen-Po Yeh, Chien-Ning Huang, Chii-Min Hwu, Chang-Hsun Hsieh, Horng-Yi Ou, Lee-Ming Chuang, Jung-Fu Chen, Yu-Cheng Chen, Yun-Hsing Peng, Szu-Tah Chen, Shang-Ren Hsu, Yi-Ling Hsieh, Chih-Hsun Chu, Chieg-Hsiang
    Scientific Reports.2024;[Epub]     CrossRef
  • Targeted mapping and utilization of the perihepatic surface for therapeutic beta cell replacement and retrieval in diabetic non-human primates
    David J. Leishman, Scott H. Oppler, Laura L. Hocum Stone, Timothy D. O’Brien, Sabarinathan Ramachandran, Bradley J. Willenberg, Andrew B. Adams, Bernhard J. Hering, Melanie L. Graham
    Frontiers in Transplantation.2024;[Epub]     CrossRef
  • Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1235.     CrossRef
  • Continuous glucose monitoring with structured education in adults with type 2 diabetes managed by multiple daily insulin injections: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Kang Hee Sim, Bo-Yeon Kim, Jae Hyoung Cho, Jun Sung Moon, Soo Lim, Eun Seok Kang, Cheol-Young Park, Sin Gon Kim, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1223.     CrossRef
  • Immunopeptidome mining reveals a novel ERS-induced target in T1D
    Lina Wang, Shushu Yang, Gaohui Zhu, Jie Li, Gang Meng, Xiaoling Chen, Mengjun Zhang, Shufeng Wang, Xiangqian Li, Yu Pan, Yi Huang, Li Wang, Yuzhang Wu
    Cellular & Molecular Immunology.2024; 21(6): 604.     CrossRef
  • Is the urinary neutrophil gelatinase-associated lipocalin concentration in children and adolescents with type 1 diabetes mellitus different from that in healthy children?
    Adriana Unić, Lavinia La Grasta Sabolić, Ivan Šamija, Bernardica Valent Morić, Marijana Miler
    Biochemia medica.2024; 34(2): 327.     CrossRef
  • Network-based identification and prioritization of key transcriptional factors of diabetic kidney disease
    Ikhlak Ahmed, Mubarak Ziab, Sahar Da’as, Waseem Hasan, Sujitha P. Jeya, Elbay Aliyev, Sabah Nisar, Ajaz A. Bhat, Khalid Adnan Fakhro, Ammira S. Alshabeeb Akil
    Computational and Structural Biotechnology Journal.2023; 21: 716.     CrossRef
  • Comparison of diabetes distress and depression screening results of emerging adults with type 1 diabetes onset at different ages: findings from the German early-onset T1D study and the German Diabetes Study (GDS)
    Anna Stahl-Pehe, Christina Bächle, Kálmán Bódis, Oana-Patricia Zaharia, Karin Lange, Reinhard W. Holl, Michael Roden, Joachim Rosenbauer, M. Roden, H. Al-Hasani, B Belgardt, GJ. Bönhof, V Burkart, A. E. Buyken, G. Geerling, C. Herder, A. Icks, K. Jandelei
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Hemoperfusion and functional state of the macula after simultaneous pancreas and kidney transplantation
    IV Vorobyeva, EV Bulava, LK Moshetova, AV Pinchuk
    Bulletin of Russian State Medical University.2022;[Epub]     CrossRef
  • Sigesbeckia orientalis Extract Ameliorates the Experimental Diabetic Nephropathy by Downregulating the Inflammatory and Oxidative Stress Signaling Pathways
    Chung-Ming Chen, Jer-Yiing Houng, Tsui-Ling Ko, Shu-Hui Juan, Hsiu-Chu Chou, Xing Li
    Evidence-Based Complementary and Alternative Medicine.2022; 2022: 1.     CrossRef
  • Impact of low-protein diet on cardiovascular risk factors and kidney function in diabetic nephropathy: A systematic review and meta-analysis of randomized-controlled trials
    Mohammad Hassan Sohouli, Parvin Mirmiran, Shaikh Sanjid Seraj, Emad Kutbi, Hadil Ali Mohammed Alkahmous, Faisal Almuqayyid, Omar Ahnaf Arafah, Abdul Rahman Riad Barakeh, Ahmed Abu-Zaid
    Diabetes Research and Clinical Practice.2022; 191: 110068.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
    Jong Ha Baek, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2021; 45(2): 281.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
    Ye Seul Yang, Tae Seo Sohn
    Diabetes & Metabolism Journal.2021; 45(2): 277.     CrossRef
  • Role of magnetic resonance diffusion weighted imaging in diagnosis of diabetic nephropathy in children living with type 1 diabetes mellitus
    Eman Nabil Wahba, Ashraf Elsharkawy, Mohammad Hosny Awad, Ashraf Abdel Rahman, Amr Sarhan
    Journal of Pediatric Endocrinology and Metabolism.2021; 34(12): 1585.     CrossRef
Type 1 Diabetes
Article image
Time in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control
Jee Hee Yoo, Jae Hyeon Kim
Diabetes Metab J. 2020;44(6):828-839.   Published online December 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0257
Correction in: Diabetes Metab J 2021;45(5):795
  • 11,155 View
  • 499 Download
  • 42 Web of Science
  • 47 Crossref
AbstractAbstract PDFPubReader   ePub   
Glycosylated hemoglobin (HbA1c) has been the sole surrogate marker for assessing diabetic complications. However, consistently reported limitations of HbA1c are that it lacks detailed information on short-term glycemic control and can be easily interfered with by various clinical conditions such as anemia, pregnancy, or liver disease. Thus, HbA1c alone may not represent the real glycemic status of a patient. The advancement of continuous glucose monitoring (CGM) has enabled both patients and healthcare providers to monitor glucose trends for a whole single day, which is not possible with HbA1c. This has allowed for the development of core metrics such as time spent in time in range (TIR), hyperglycemia, or hypoglycemia, and glycemic variability. Among the 10 core metrics, TIR is reported to represent overall glycemic control better than HbA1c alone. Moreover, various evidence supports TIR as a predictive marker of diabetes complications as well as HbA1c, as the inverse relationship between HbA1c and TIR reveals. However, there are more complex relationships between HbA1c, TIR, and other CGM metrics. This article provides information about 10 core metrics with particular focus on TIR and the relationships between the CGM metrics for comprehensive understanding of glycemic status using CGM.

Citations

Citations to this article as recorded by  
  • Two-week continuous glucose monitoring-derived metrics and degree of hepatic steatosis: a cross-sectional study among Chinese middle-aged and elderly participants
    Haili Zhong, Ke Zhang, Lishan Lin, Yan Yan, Luqi Shen, Hanzu Chen, Xinxiu Liang, Jingnan Chen, Zelei Miao, Ju-Sheng Zheng, Yu-ming Chen
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Acute and Chronic Adverse Outcomes of Type 1 Diabetes
    Rachel Longendyke, Jody B. Grundman, Shideh Majidi
    Endocrinology and Metabolism Clinics of North America.2024; 53(1): 123.     CrossRef
  • La plongée sous-marine en scaphandre autonome avec un diabète de type 1. Une belle histoire du dernier millénaire
    Lise Dufaitre Patouraux, Agnès Sola-Gazagnes, Boris Lormeau, Corinne Lormeau
    Médecine des Maladies Métaboliques.2024; 18(1): 67.     CrossRef
  • S100A9 exerts insulin-independent antidiabetic and anti-inflammatory effects
    Gloria Ursino, Giulia Lucibello, Pryscila D. S. Teixeira, Anna Höfler, Christelle Veyrat-Durebex, Soline Odouard, Florian Visentin, Luca Galgano, Emmanuel Somm, Claudia R. Vianna, Ariane Widmer, François R. Jornayvaz, Andreas Boland, Giorgio Ramadori, Rob
    Science Advances.2024;[Epub]     CrossRef
  • Hybrid Closed-Loop Versus Manual Insulin Delivery in Adults With Type 1 Diabetes: A Post Hoc Analysis Using the Glycemia Risk Index
    Melissa H. Lee, Sara Vogrin, Timothy W. Jones, David N. O’Neal
    Journal of Diabetes Science and Technology.2024; 18(4): 764.     CrossRef
  • Clinically relevant stratification of patients with type 2 diabetes by using continuous glucose monitoring data
    Xiaopeng Shao, Jingyi Lu, Rui Tao, Liang Wu, Yaxin Wang, Wei Lu, Hongru Li, Jian Zhou, Xia Yu
    Diabetes, Obesity and Metabolism.2024; 26(6): 2082.     CrossRef
  • Effects of a 2-Week Kinect-Based Mixed-Reality Exercise Program on Prediabetes: A Pilot Trial during COVID-19
    So Young Ahn, Si Woo Lee, Hye Jung Shin, Won Jae Lee, Jun Hyeok Kim, Hyun-Jun Kim, Wook Song
    Journal of Obesity & Metabolic Syndrome.2024; 33(1): 54.     CrossRef
  • Continuous glucose monitoring with structured education in adults with type 2 diabetes managed by multiple daily insulin injections: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Kang Hee Sim, Bo-Yeon Kim, Jae Hyoung Cho, Jun Sung Moon, Soo Lim, Eun Seok Kang, Cheol-Young Park, Sin Gon Kim, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1223.     CrossRef
  • Comparison between a tubeless, on-body automated insulin delivery system and a tubeless, on-body sensor-augmented pump in type 1 diabetes: a multicentre randomised controlled trial
    Ji Yoon Kim, Sang-Man Jin, Eun Seok Kang, Soo Heon Kwak, Yeoree Yang, Jee Hee Yoo, Jae Hyun Bae, Jun Sung Moon, Chang Hee Jung, Ji Cheol Bae, Sunghwan Suh, Sun Joon Moon, Sun Ok Song, Suk Chon, Jae Hyeon Kim
    Diabetologia.2024; 67(7): 1235.     CrossRef
  • Psychometric Properties of the Automated Insulin Delivery: Benefits and Burdens Scale for Adults with Type 1 Diabetes
    Jenna B. Shapiro, Anthony T. Vesco, Michael S. Carroll, Jill Weissberg-Benchell
    Diabetes Technology & Therapeutics.2024;[Epub]     CrossRef
  • Expert Consensus on Dipeptidyl Peptidase-4 Inhibitor-Based Therapies in the Modern Era of Type 2 Diabetes Mellitus Management in India
    Sanjay Kalra, Saptarshi Bhattacharya, A Dhingra, Sambit Das, Nitin Kapoor, Shehla Shaikh, Vivek Kolapkar, R V Lokesh Kumar, Kamlesh Patel, Rahul Kotwal
    Cureus.2024;[Epub]     CrossRef
  • Optimal hyperglycemia thresholds in patients undergoing chemotherapy: a cross sectional study of oncologists’ practices
    Teresa M. Salgado, Poorva B. Birari, Mona Alshahawey, Erin Hickey Zacholski, Emily Mackler, Tonya M. Buffington, Kerri T. Musselman, William J. Irvin, Jennifer M. Perkins, Trang N. Le, Dave L. Dixon, Karen B. Farris, Vanessa B. Sheppard, Resa M. Jones
    Supportive Care in Cancer.2024;[Epub]     CrossRef
  • Glycemic Risk Index in a Cohort of Patients with Type 1 Diabetes Mellitus Stratified by the Coefficient of Variation: A Real-Life Study
    Sandra Herranz-Antolín, Clara Coton-Batres, María Covadonga López-Virgos, Verónica Esteban-Monge, Visitación Álvarez-de Frutos, Leonel Pekarek, Miguel Torralba
    Diabetes Technology & Therapeutics.2024;[Epub]     CrossRef
  • Diabetes Management in Transition: Market Insights and Technological Advancements in CGM and Insulin Delivery
    Tae Sang Yu, Soojeong Song, Junwoo Yea, Kyung‐In Jang
    Advanced Sensor Research.2024;[Epub]     CrossRef
  • Association between glucose levels of children with type 1 diabetes and parental economic status in mobile health application
    Wen-Hao Zhang, Chao-Fan Wang, Hao Wang, Jie Tang, Hong-Qiang Zhang, Jiang-Yu Zhu, Xue-Ying Zheng, Si-Hui Luo, Yu Ding
    World Journal of Diabetes.2024; 15(7): 1477.     CrossRef
  • Differences Between Glycated Hemoglobin and Glucose Management Indicator in Real-Time and Intermittent Scanning Continuous Glucose Monitoring in Adults With Type 1 Diabetes
    Jee Hee Yoo, Sun Joon Moon, Cheol-Young Park, Jae Hyeon Kim
    Journal of Diabetes Science and Technology.2024;[Epub]     CrossRef
  • Impact of diverse aerobic exercise plans on glycemic control, lipid levels, and functional activity in stroke patients with type 2 diabetes mellitus
    Kangcheng Chen, Yulong Wang, Dongxia Li, Jun Li, Yong Huang, Meiling Huang, Haifeng Ma
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes
    Lehel Dénes-Fazakas, László Szilágyi, Levente Kovács, Andrea De Gaetano, György Eigner
    Biomedicines.2024; 12(9): 2143.     CrossRef
  • A Review of Third-Trimester Complications in Pregnancies Complicated by Diabetes Mellitus
    Shaun R. Welsey, Jessica Day, Scott Sullivan, Sarah D. Crimmins
    American Journal of Perinatology.2024;[Epub]     CrossRef
  • Anagliptin twice‐daily regimen improves glycaemic variability in subjects with type 2 diabetes: A double‐blind, randomized controlled trial
    Yong‐ho Lee, Doo‐Man Kim, Jae Myung Yu, Kyung Mook Choi, Sin Gon Kim, Kang Seo Park, Hyun‐Shik Son, Choon Hee Chung, Kyu Jeung Ahn, Soon Hee Lee, Ki‐Ho Song, Su Kyoung Kwon, Hyeong Kyu Park, Kyu Chang Won, Hak Chul Jang
    Diabetes, Obesity and Metabolism.2023; 25(5): 1174.     CrossRef
  • Advances in Continuous Glucose Monitoring and Integrated Devices for Management of Diabetes with Insulin-Based Therapy: Improvement in Glycemic Control
    Jee Hee Yoo, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 27.     CrossRef
  • Status of continuous glucose monitoring use and management in tertiary hospitals of China: a cross-sectional study
    Liping Chen, Xiaoqin Liu, Qin Lin, Hongmei Dai, Yong Zhao, Zumin Shi, Liping Wu
    BMJ Open.2023; 13(2): e066801.     CrossRef
  • Real-world outcomes of continuous glucose monitoring in adults with diabetes mellitus attending an Irish tertiary hospital
    Aoife Courtney, Diarmuid Smith, Hannah Forde
    Irish Journal of Medical Science (1971 -).2023; 192(6): 2763.     CrossRef
  • Insight into continuous glucose monitoring: from medical basics to commercialized devices
    Ayman Chmayssem, Małgorzata Nadolska, Emily Tubbs, Kamila Sadowska, Pankaj Vadgma, Isao Shitanda, Seiya Tsujimura, Youssef Lattach, Martin Peacock, Sophie Tingry, Stéphane Marinesco, Pascal Mailley, Sandrine Lablanche, Pierre Yves Benhamou, Abdelkader Zeb
    Microchimica Acta.2023;[Epub]     CrossRef
  • Efficacy of polyethylene glycol loxenatide versus insulin glargine on glycemic control in patients with type 2 diabetes: a randomized, open-label, parallel-group trial
    Shuo Zhang, Chuanyan Zhang, Jingxian Chen, Feiying Deng, Zezhen Wu, Dan Zhu, Fengwu Chen, Yale Duan, Yue Zhao, Kaijian Hou
    Frontiers in Pharmacology.2023;[Epub]     CrossRef
  • Impact of continuous glucose monitoring on glycemic control and its derived metrics in type 1 diabetes: a longitudinal study
    So Hyun Cho, Seohyun Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Association Between Continuous Glucose Monitoring-Derived Glycemia Risk Index and Albuminuria in Type 2 Diabetes
    Jee Hee Yoo, Ji Yoon Kim, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2023; 25(10): 726.     CrossRef
  • Acute Glycemic Variability and Early Outcomes After Cardiac Surgery: A Meta-Analysis
    Shuo Chang, Mian Xu, Yu Wang, Yanbo Zhang
    Hormone and Metabolic Research.2023; 55(11): 771.     CrossRef
  • Comparison of Glycemia Risk Index with Time in Range for Assessing Glycemic Quality
    Ji Yoon Kim, Jee Hee Yoo, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2023; 25(12): 883.     CrossRef
  • Correlação entre tempo no alvo e hemoglobina glicada de pessoas com diabetes mellitus: revisão sistemática
    Rafael Aparecido Dias Lima, Daiane Rubinato Fernandes, Rute Aparecida Casas Garcia, Lucas Ariel da Rocha Carvalho, Renata Cristina de Campos Pereira Silveira, Carla Regina de Souza Teixeira
    Revista Latino-Americana de Enfermagem.2023;[Epub]     CrossRef
  • Correlación entre tiempo en rango y hemoglobina glicosilada en personas con diabetes mellitus: revisión sistemática
    Rafael Aparecido Dias Lima, Daiane Rubinato Fernandes, Rute Aparecida Casas Garcia, Lucas Ariel da Rocha Carvalho, Renata Cristina de Campos Pereira Silveira, Carla Regina de Souza Teixeira
    Revista Latino-Americana de Enfermagem.2023;[Epub]     CrossRef
  • Correlation between time on target and glycated hemoglobin in people with diabetes mellitus: systematic review
    Rafael Aparecido Dias Lima, Daiane Rubinato Fernandes, Rute Aparecida Casas Garcia, Lucas Ariel da Rocha Carvalho, Renata Cristina de Campos Pereira Silveira, Carla Regina de Souza Teixeira
    Revista Latino-Americana de Enfermagem.2023;[Epub]     CrossRef
  • Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
    Jee Hee Yoo, Jae Hyeon Kim
    The Journal of Korean Diabetes.2023; 24(4): 190.     CrossRef
  • Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
    Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
  • Advanced Glycation End Products and Their Effect on Vascular Complications in Type 2 Diabetes Mellitus
    Jeongmin Lee, Jae-Seung Yun, Seung-Hyun Ko
    Nutrients.2022; 14(15): 3086.     CrossRef
  • Influence of dipeptidyl peptidase-4 inhibitors on glycemic variability in patients with type 2 diabetes: A meta-analysis of randomized controlled trials
    Shangyu Chai, Ruya Zhang, Ye Zhang, Richard David Carr, Yiman Zheng, Swapnil Rajpathak, Miao Yu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Glucose Profiles Assessed by Intermittently Scanned Continuous Glucose Monitoring System during the Perioperative Period of Metabolic Surgery
    Kyuho Kim, Sung Hee Choi, Hak Chul Jang, Young Suk Park, Tae Jung Oh
    Diabetes & Metabolism Journal.2022; 46(5): 713.     CrossRef
  • Deterioration in glycemic control on schooldays among children and adolescents with type 1 diabetes: A continuous glucose monitoring-based study
    Yu Ding, Wenhao Zhang, Xiumei Wu, Tian Wei, Xulin Wang, Xueying Zheng, Sihui Luo
    Frontiers in Pediatrics.2022;[Epub]     CrossRef
  • Effect of repeated bolus and continuous glucose infusion on a panel of circulating biomarkers in healthy volunteers
    Roland Feldbauer, Matthias Wolfgang Heinzl, Carmen Klammer, Michael Resl, Johannes Pohlhammer, Klemens Rosenberger, Verena Almesberger, Florian Obendorf, Lukas Schinagl, Thomas Wagner, Margot Egger, Benjamin Dieplinger, Martin Clodi, Stephen L. Atkin
    PLOS ONE.2022; 17(12): e0279308.     CrossRef
  • Relationship between glycemic intraday variations evaluated in continuous glucose monitoring and HbA1c variability in type 2 diabetes: pilot study
    Akemi Tokutsu, Yosuke Okada, Keiichi Torimoto, Yoshiya Tanaka
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • Time-in-range for monitoring glucose control: Is it time for a change?
    Virginia Bellido, Pedro José Pinés-Corrales, Rocío Villar-Taibo, Francisco Javier Ampudia-Blasco
    Diabetes Research and Clinical Practice.2021; 177: 108917.     CrossRef
  • Glucose Management Indicator for People with Type 1 Asian Diabetes Is Different from That of the Published Equation: Differences by Glycated Hemoglobin Distribution
    Jee Hee Yoo, Seung Hee Yang, Gyuri Kim, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2021;[Epub]     CrossRef
  • Health-Related Quality of Life, Family Conflicts and Fear of Injecting: Perception Differences between Preadolescents and Adolescents with Type 1 Diabetes and Their Mothers
    Marta Tremolada, Maria Cusinato, Sabrina Bonichini, Arianna Fabris, Claudia Gabrielli, Carlo Moretti
    Behavioral Sciences.2021; 11(7): 98.     CrossRef
  • Daytime Glycemic Variability and Frailty in Older Patients with Diabetes: a Pilot Study Using Continuous Glucose Monitoring
    Seung Min Chung, Yun Hee Lee, Chang Oh Kim, Ji Yeon Lee, Sang-Man Jin, Seung-Hyun Yoo, Jun Sung Moon, Kwang Joon Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Benefits of a Switch from Intermittently Scanned Continuous Glucose Monitoring (isCGM) to Real-Time (rt) CGM in Diabetes Type 1 Suboptimal Controlled Patients in Real-Life: A One-Year Prospective Study §
    Yannis Préau, Sébastien Galie, Pauline Schaepelynck, Martine Armand, Denis Raccah
    Sensors.2021; 21(18): 6131.     CrossRef
  • Recent Advances of Integrative Bio-Omics Technologies to Improve Type 1 Diabetes (T1D) Care
    Nisha Karwal, Megan Rodrigues, David D. Williams, Ryan J. McDonough, Diana Ferro
    Applied Sciences.2021; 11(24): 11602.     CrossRef
Response: An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020;44:56–66)
Sung Woon Park, Seunghyun Lee, Won Chul Cha, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Sung-Min Park, Sang-Man Jin
Diabetes Metab J. 2020;44(2):358-359.   Published online April 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0080
[Original]
  • 4,417 View
  • 64 Download
PDFPubReader   
Drug/Regimen
An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment
Sung Woon Park, Seunghyun Lee, Won Chul Cha, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Sung-Min Park, Sang-Man Jin
Diabetes Metab J. 2020;44(1):56-66.   Published online October 21, 2019
DOI: https://doi.org/10.4093/dmj.2018.0227
  • 7,363 View
  • 142 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

We aimed to describe the outcome of a computerized intravenous insulin infusion (CII) protocol integrated to the electronic health record (EHR) system and to improve the CII protocol in silico using the EHR-based predictors of the outcome.

Methods

Clinical outcomes of the patients who underwent the CII protocol between July 2016 and February 2017 and their matched controls were evaluated. In the CII protocol group (n=91), multivariable binary logistic regression analysis models were used to determine the independent associates with a delayed response (taking ≥6.0 hours for entering a glucose range of 70 to 180 mg/dL). The CII protocol was adjusted in silico according to the EHR-based parameters obtained in the first 3 hours of CII.

Results

Use of the CII protocol was associated with fewer subjects with hypoglycemia alert values (P=0.003), earlier (P=0.002), and more stable (P=0.017) achievement of a glucose range of 70 to 180 mg/dL. Initial glucose level (P=0.001), change in glucose during the first 2 hours (P=0.026), and change in insulin infusion rate during the first 3 hours (P=0.029) were independently associated with delayed responses. Increasing the insulin infusion rate temporarily according to these parameters in silico significantly reduced delayed responses (P<0.0001) without hypoglycemia, especially in refractory patients.

Conclusion

Our CII protocol enabled faster and more stable glycemic control than conventional care with minimized risk of hypoglycemia. An EHR-based adjustment was simulated to reduce delayed responses without increased incidence of hypoglycemia.

Citations

Citations to this article as recorded by  
  • Response: An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020;44:56–66)
    Sung Woon Park, Seunghyun Lee, Won Chul Cha, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Sung-Min Park, Sang-Man Jin
    Diabetes & Metabolism Journal.2020; 44(2): 358.     CrossRef
  • Letter: An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020;44:56–66)
    Dongwon Yi
    Diabetes & Metabolism Journal.2020; 44(2): 354.     CrossRef
Clinical Diabetes & Therapeutics
A Lower Baseline Urinary Glucose Excretion Predicts a Better Response to the Sodium Glucose Cotransporter 2 Inhibitor
You-Cheol Hwang, Jae Hyeon Kim, Byung-Wan Lee, Woo Je Lee
Diabetes Metab J. 2019;43(6):898-905.   Published online June 14, 2019
DOI: https://doi.org/10.4093/dmj.2018.0257
  • 4,602 View
  • 83 Download
  • 9 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   

We aimed to identify the clinical variables associated with a better glucose-lowering response to the sodium glucose cotransporter 2 inhibitor ipragliflozin in people with type 2 diabetes mellitus (T2DM). We especially focused on urinary glucose excretion (UGE). This was a single-arm multicenter prospective study. A total of 92 people with T2DM aged 20 to 70 years with glycosylated hemoglobin (HbA1c) levels ≥7.0% and ≤9.5% were enrolled. Ipragliflozin (50 mg) was added to the background therapy for these people for 12 weeks. After 3 months treatment with ipragliflozin, the mean HbA1c levels were decreased from 7.6% to 6.9% and 62.0% of the people reached the HbA1c target of less than 7.0% (P<0.001). In addition, body weight, blood pressure, and lipid parameters were improved after ipragliflozin treatment (all P<0.001). The baseline HbA1c (r=0.66, P<0.001) and morning spot urine glucose to creatinine ratio (r=−0.30, P=0.001) were independently associated with the HbA1c reduction. Ipragliflozin treatment for 12 weeks improves glycemic control and other metabolic parameters. A higher HbA1c and lower UGE at baseline predicts a better glucose-lowering efficacy of ipragliflozin.

Citations

Citations to this article as recorded by  
  • Preventing and Treating Metabolic Dysfunction-Associated Steatotic Liver Disease in People with Type 2 Diabetes: Promising Therapeutic Agents and Strategies
    Allison Zhang, Rita El Hachem, Jennifer Goldman
    ADCES in Practice.2024; 12(1): 38.     CrossRef
  • Association of common variant rs9934336 of SLC5A2 (SGLT2) gene with SARS-CoV-2 infection and mortality
    Anamika Das, Gunanidhi Dhangadamajhi
    Egyptian Journal of Medical Human Genetics.2024;[Epub]     CrossRef
  • Mathematical Models of the Effect of Glucagon on Glycemia in Individuals With Type 2 Diabetes Treated With Dapagliflozin
    Tomoko Yamada, Hikaru Sugimoto, Ken-ichi Hironaka, Yasuko Morita, Hiroshi Miura, Natsu Otowa-Suematsu, Yuko Okada, Yushi Hirota, Kazuhiko Sakaguchi, Shinya Kuroda, Wataru Ogawa
    Journal of the Endocrine Society.2024;[Epub]     CrossRef
  • β-hydroxybutyrate as a biomarker of β-cell function in new-onset type 2 diabetes and its association with treatment response at 6 months
    Minyoung Lee, Yongin Cho, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-Wan Lee
    Diabetes & Metabolism.2023; 49(4): 101427.     CrossRef
  • A Comparative Study on the Efficacy and Safety of Dose Escalation of Luseogliflozin in Type 2 Diabetes Mellitus Patients With Poor Glycemic Control
    Tadashi Arao, Yosuke Okada, Akira Kurozumi, Yoshiya Tanaka
    Cureus.2023;[Epub]     CrossRef
  • Role of SLC5A2 polymorphisms and effects of genetic polymorphism on sodium glucose cotransporter 2 inhibitorsinhibitor response
    Bo Xu, Shaoqian Li, Bo Kang, Shangzhi Fan, Canyu Chen, Weiyi Li, Jixiang Chen, Zunbo He, Fan Tang, Jiecan Zhou
    Molecular Biology Reports.2023; 50(11): 9637.     CrossRef
  • Current Use and Complementary Value of Combining in Vivo Imaging Modalities to Understand the Renoprotective Effects of Sodium-Glucose Cotransporter-2 Inhibitors at a Tissue Level
    Sjoukje van der Hoek, Jasper Stevens
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
  • Clinical and genetic determinants of urinary glucose excretion in patients with diabetes mellitus
    Keisuke Monobe, Shinsuke Noso, Naru Babaya, Yoshihisa Hiromine, Yasunori Taketomo, Fumimaru Niwano, Sawa Yoshida, Sara Yasutake, Tatsuro Minohara, Yumiko Kawabata, Hiroshi Ikegami
    Journal of Diabetes Investigation.2021; 12(5): 728.     CrossRef
  • Beneficial effect of anti-diabetic drugs for nonalcoholic fatty liver disease
    Kyung-Soo Kim, Byung-Wan Lee
    Clinical and Molecular Hepatology.2020; 26(4): 430.     CrossRef
Clinical Care/Education
Article image
2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea
Mee Kyoung Kim, Seung-Hyun Ko, Bo-Yeon Kim, Eun Seok Kang, Junghyun Noh, Soo-Kyung Kim, Seok-O Park, Kyu Yeon Hur, Suk Chon, Min Kyong Moon, Nan-Hee Kim, Sang Yong Kim, Sang Youl Rhee, Kang-Woo Lee, Jae Hyeon Kim, Eun-Jung Rhee, SungWan Chun, Sung Hoon Yu, Dae Jung Kim, Hyuk-Sang Kwon, Kyong Soo Park
Diabetes Metab J. 2019;43(4):398-406.   Published online August 20, 2019
DOI: https://doi.org/10.4093/dmj.2019.0137
  • 18,260 View
  • 500 Download
  • 165 Web of Science
  • 172 Crossref
AbstractAbstract PDFPubReader   

The Committee of Clinical Practice Guidelines of the Korean Diabetes Association revised and updated the 6th Clinical Practice Guidelines in 2019. Targets of glycemic, blood pressure, and lipid control in type 2 diabetes mellitus (T2DM) were updated. The obese and overweight population is increasing steadily in Korea, and half of the Koreans with diabetes are obese. Evidence-based recommendations for weight-loss therapy for obesity management as treatment for hyperglycemia in T2DM were provided. In addition, evidence from large clinical studies assessing cardiovascular outcomes following the use of sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide 1 receptor agonists in patients with T2DM were incorporated into the recommendations.

Citations

Citations to this article as recorded by  
  • Serum-based ATR-FTIR spectroscopy combined with multivariate analysis for the diagnosis of pre-diabetes and diabetes
    Weiyi Pang, Yu Xing, Camilo L. M. Morais, Qiufeng Lao, Shengle Li, Zipeng Qiao, You Li, Maneesh N. Singh, Valério G. Barauna, Francis L. Martin, Zhiyong Zhang
    The Analyst.2024; 149(2): 497.     CrossRef
  • Fruits and the Risk of Type 2 Diabetes: The Korean Genome and Epidemiology Study Cohort
    Hojun Yu, Cheol Min Lee, Seung-Won Oh
    Korean Journal of Family Medicine.2024; 45(1): 44.     CrossRef
  • Effectiveness and Safety of Sodium-Glucose Cotransporter 2 Inhibitors Added to Dual or Triple Treatment in Patients with Type 2 Diabetes Mellitus
    Yesol Hong, Yoomin Jeon, Yoona Choi, Tae Kyu Chung, Howard Lee
    Diabetes Therapy.2024; 15(2): 487.     CrossRef
  • Risk factors for carotid plaque formation in type 2 diabetes mellitus
    Jin Chen, Wenwen Li, Jingzhu Cao, Yuhan Lu, Chaoqun Wang, Jin Lu
    Journal of Translational Medicine.2024;[Epub]     CrossRef
  • Cumulative exposure to impaired fasting glucose and gastrointestinal cancer risk: A nationwide cohort study
    Byeong Yun Ahn, Bokyung Kim, Sanghyun Park, Sang Gyun Kim, Kyungdo Han, Soo‐Jeong Cho
    Cancer.2024; 130(10): 1807.     CrossRef
  • Effects of a Health Partnership Program Using Mobile Health Application for Male Workers with Cardiovascular Risk Factors in Small and Medium Enterprises: A Randomized Controlled Trial
    Eun Jin Kim, Seon Young Hwang
    Journal of Korean Academy of Nursing.2024; 54(1): 44.     CrossRef
  • The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population
    Na Yeon Kim, Haekyung Lee, Sehee Kim, Ye-Jee Kim, Hyunsuk Lee, Junhyeong Lee, Soo Heon Kwak, Seunggeun Lee
    Scientific Reports.2024;[Epub]     CrossRef
  • Real-World Outcomes of Individualized Targeted Therapy with Insulin Glargine 300 Units/mL in Insulin-Naïve Korean People with Type 2 Diabetes: TOBE Study
    Eun-Gyoung Hong, Kyung-Wan Min, Jung Soo Lim, Kyu-Jeung Ahn, Chul Woo Ahn, Jae-Myung Yu, Hye Soon Kim, Hyun Jin Kim, Won Kim, Dong Han Kim, Hak Chul Jang
    Advances in Therapy.2024; 41(5): 1967.     CrossRef
  • The Potential Role of Presepsin in Predicting Severe Infection in Patients with Diabetic Foot Ulcers
    Eun Yeong Ha, Il Rae Park, Seung Min Chung, Young Nam Roh, Chul Hyun Park, Tae-Gon Kim, Woong Kim, Jun Sung Moon
    Journal of Clinical Medicine.2024; 13(8): 2311.     CrossRef
  • Health and Productivity Benefits with Early Intensified Treatment in Patients with Type 2 Diabetes: Results from Korea
    Foteini Tsotra, Ankur Malhotra, Platon Peristeris, Ioannis Athanasiou, Malina Müller, Giovanni Bader
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2024;[Epub]     CrossRef
  • Safety of sodium–glucose cotransporter 2 inhibitors in Asian type 2 diabetes populations
    Jaime A Davidson, Norlela Sukor, Fen‐Lee Hew, Mafauzy Mohamed, Zanariah Hussein
    Journal of Diabetes Investigation.2023; 14(2): 167.     CrossRef
  • β-hydroxybutyrate as a biomarker of β-cell function in new-onset type 2 diabetes and its association with treatment response at 6 months
    Minyoung Lee, Yongin Cho, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-Wan Lee
    Diabetes & Metabolism.2023; 49(4): 101427.     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Cardiovascular Outcomes according to Comorbidities and Low-Density Lipoprotein Cholesterol in Korean People with Type 2 Diabetes Mellitus
    Min Kyong Moon, Junghyun Noh, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(1): 45.     CrossRef
  • Impaired ketogenesis is associated with metabolic-associated fatty liver disease in subjects with type 2 diabetes
    Sejeong Lee, Jaehyun Bae, Doo Ri Jo, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Identifying the Associations of Nightly Fasting Duration and Meal Timing with Type 2 Diabetes Mellitus Using Data from the 2016–2020 Korea National Health and Nutrition Survey
    Junkyung Kwak, Kyeong-A Jang, Haeng-Ran Kim, Min-Sook Kang, Kyung Won Lee, Dayeon Shin
    Nutrients.2023; 15(6): 1385.     CrossRef
  • Development and Adaptability of Smartphone-based Dietary Coaching Program for Patients Undergoing Diabetes and Prediabetes with Continuous Glucose Monitoring Device
    Myoung Soo Kim, Jung Mi Ryu, Minkyeong Kang, Jiwon Park, Yeh Chan Ahn, Yang Seok Kim
    Journal of Health Informatics and Statistics.2023; 48(1): 36.     CrossRef
  • Glucose Control in Korean Patients with Type 2 Diabetes Mellitus according to Body Mass Index
    Ye-lim Shin, Heesoh Yoo, Joo Young Hong, Jooeun Kim, Kyung-do Han, Kyu-Na Lee, Yang-Hyun Kim
    Journal of Obesity & Metabolic Syndrome.2023; 32(1): 55.     CrossRef
  • Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
    Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim
    Respiratory Research.2023;[Epub]     CrossRef
  • Developing a Classification Algorithm for Prediabetes Risk Detection From Home Care Nursing Notes
    Eunjoo Jeon, Aeri Kim, Jisoo Lee, Hyunsook Heo, Hana Lee, Kyungmi Woo
    CIN: Computers, Informatics, Nursing.2023; 41(7): 539.     CrossRef
  • Predictive value of the Framingham steatosis index for cardiovascular risk: a nationwide population-based cohort study
    Yun Kyung Cho, Myungjin Kim, Ye-Jee Kim, Chang Hee Jung, Woo Je Lee, Joong-Yeol Park
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Association of low muscle strength with metabolic dysfunction-associated fatty liver disease: A nationwide study
    Gyu Bae Lee, Youn Huh, Sang Hyun Lee, Byoungduck Han, Yang-Hyun Kim, Do-Hoon Kim, Seon Mee Kim, Youn Seon Choi, Kyung Hwan Cho, Ga Eun Nam
    World Journal of Gastroenterology.2023; 29(45): 5962.     CrossRef
  • Low fasting glucose‐to‐estimated average glucose ratio was associated with superior response to insulin degludec/aspart compared with basal insulin in patients with type 2 diabetes
    Han Na Jang, Ye Seul Yang, Tae Jung Oh, Bo Kyung Koo, Seong Ok Lee, Kyong Soo Park, Hak Chul Jang, Hye Seung Jung
    Journal of Diabetes Investigation.2022; 13(1): 85.     CrossRef
  • Relationship between the early initiation of insulin treatment and diabetic complications in patients newly diagnosed with type 2 diabetes mellitus in Korea: A nationwide cohort study
    Ha‐Lim Jeon, Won Kim, Bongseong Kim, Ju‐Young Shin
    Journal of Diabetes Investigation.2022; 13(5): 830.     CrossRef
  • Relationship of the Triglyceride-Glucose Index with Subclinical White Matter Hypersensitivities of Presumed Vascular Origin Among Community-Dwelling Koreans
    Dong-Hyuk Jung, Byoungjin Park, Yong-Jae Lee
    International Journal of General Medicine.2022; Volume 15: 603.     CrossRef
  • Prevalence of vitamin B12 deficiency and its association with metformin-treated type 2 diabetic patients: A cross sectional study
    Shaimaa B. Almatrafi, El-Sayed H. Bakr, Asem A. Almatrafi, Manal M. Altayeb
    Human Nutrition & Metabolism.2022; 27: 200138.     CrossRef
  • Retinal Vascular Caliber Changes in Early Type 2 Diabetic Patients without Retinopathy
    Jeong Woo Park, Jeong Hun Bae, Su Jeong Song, Joon Mo Kim
    Journal of the Korean Ophthalmological Society.2022; 63(1): 20.     CrossRef
  • Renal Tubular Damage Marker, Urinary N-acetyl-β-D-Glucosaminidase, as a Predictive Marker of Hepatic Fibrosis in Type 2 Diabetes Mellitus
    Hae Kyung Kim, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Diabetes & Metabolism Journal.2022; 46(1): 104.     CrossRef
  • Efficacy and Safety of Self-Titration Algorithms of Insulin Glargine 300 units/mL in Individuals with Uncontrolled Type 2 Diabetes Mellitus (The Korean TITRATION Study): A Randomized Controlled Trial
    Jae Hyun Bae, Chang Ho Ahn, Ye Seul Yang, Sun Joon Moon, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
    Diabetes & Metabolism Journal.2022; 46(1): 71.     CrossRef
  • Sodium-Glucose Cotransporter-2 Inhibitor-Related Diabetic Ketoacidosis: Accuracy Verification of Operational Definition
    Dong Yoon Kang, Hyunah Kim, SooJeong Ko, HyungMin Kim, Jiwon Shinn, Min-Gyu Kang, Sun-ju Byeon, Jeong-Hee Choi, Soo-Yong Shin, Hun-Sung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Relationship between the dynamics of non-alcoholic fatty liver disease and incident diabetes mellitus
    Ji Eun Han, Han-Bit Shin, Young Hwan Ahn, Hyo Jung Cho, Jae Youn Cheong, Bumhee Park, Soon Sun Kim
    Scientific Reports.2022;[Epub]     CrossRef
  • Position of Sulfonylureas in the Current ERA: Review of National and International Guidelines
    Viswanathan Mohan, Banshi Saboo, Jabbar Khader, Kirtikumar D Modi, Sushil Jindal, Subhash Kumar Wangnoo, Sugumaran Amarnath
    Clinical Medicine Insights: Endocrinology and Diabetes.2022; 15: 117955142210746.     CrossRef
  • Real-world comparison of mono and dual combination therapies of metformin, sulfonylurea, and dipeptidyl peptidase-4 inhibitors using a common data model
    Kyung Ae Lee, Heung Yong Jin, Yu Ji Kim, Sang Soo Kim, Eun-Hee Cho, Tae Sun Park
    Medicine.2022; 101(8): e28823.     CrossRef
  • Atherogenic Index of Plasma and Its Association with Risk Factors of Coronary Artery Disease and Nutrient Intake in Korean Adult Men: The 2013–2014 KNHANES
    Hye Ran Shin, SuJin Song, Jin Ah Cho, Sun Yung Ly
    Nutrients.2022; 14(5): 1071.     CrossRef
  • Sodium–glucose cotransporter 2 inhibitors do not increase the risk of fractures in real‐world clinical practice in Korea: A national observational cohort study
    Kyoung Hwa Ha, Dae Jung Kim, Yong Jun Choi
    Journal of Diabetes Investigation.2022; 13(6): 986.     CrossRef
  • Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations
    Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-ho Lee, Jeehyoung Kim, Abhijit V. Kshirsagar, Heejung Bang
    Diabetes & Metabolism Journal.2022; 46(2): 273.     CrossRef
  • Integrated metagenomics and metabolomics analysis illustrates the systemic impact of the gut microbiota on host metabolism after bariatric surgery
    Yeyoung Han, Gihyeon Kim, Eunyong Ahn, Sunhee Jung, Youngae Jung, Yunjae Kim, Eunyoung Ha, Yoonseok Heo, Do Hyun Ryu, Hansoo Park, Geum‐Sook Hwang
    Diabetes, Obesity and Metabolism.2022; 24(7): 1224.     CrossRef
  • The use of complex marketing analysis and QSPR methodology for the necessity of a drug development grounding for the treatment of type 2 diabetes mellitus with increased bioavailability
    Inna Kovalevska, Olena Ruban, Alina Volkova, Alla Kotvitska, Alina Cherkashyna
    Pharmacia.2022; 69(2): 303.     CrossRef
  • Comparative Study of Ex Vivo Antiplatelet Activity of Aspirin and Cilostazol in Patients with Diabetes and High Risk of Cardiovascular Disease
    Sangmo Hong, Woo Je Lee, Cheol-Young Park
    Endocrinology and Metabolism.2022; 37(2): 233.     CrossRef
  • Long-term effect of the eradication of Helicobacter pylori on the hemoglobin A1c in type 2 diabetes or prediabetes patients
    Won Seok Kim, Yonghoon Choi, Nayoung Kim, Seon Hee Lim, Gitark Noh, Ki Wook Kim, Jaehyung Park, Hyeongho Jo, Hyuk Yoon, Cheol Min Shin, Young Soo Park, Dong Ho Lee
    The Korean Journal of Internal Medicine.2022; 37(3): 579.     CrossRef
  • Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
    Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Understanding and Utilizing Claim Data from the Korean National Health Insurance Service (NHIS) and Health Insurance Review & Assessment (HIRA) Database for Research
    Dae-Sung Kyoung, Hun-Sung Kim
    Journal of Lipid and Atherosclerosis.2022; 11(2): 103.     CrossRef
  • Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
    Si Hyoung Kim, Yun Kyung Cho, Ye-Jee Kim, Chang Hee Jung, Woo Je Lee, Joong-Yeol Park, Ji Hye Huh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • Current Status of Low-Density Lipoprotein Cholesterol Target Achievement in Patients with Type 2 Diabetes Mellitus in Korea Compared with Recent Guidelines
    Soo Jin Yun, In-Kyung Jeong, Jin-Hye Cha, Juneyoung Lee, Ho Chan Cho, Sung Hee Choi, SungWan Chun, Hyun Jeong Jeon, Ho-Cheol Kang, Sang Soo Kim, Seung-Hyun Ko, Gwanpyo Koh, Su Kyoung Kwon, Jae Hyuk Lee, Min Kyong Moon, Junghyun Noh, Cheol-Young Park, Sung
    Diabetes & Metabolism Journal.2022; 46(3): 464.     CrossRef
  • Sodium Glucose Cotransporter-2 Inhibitors as an Add-on Therapy to Metformin Plus Dipeptidyl Peptidase-4 Inhibitor in Patients with Type 2 Diabetes
    Jaehyun Bae, Young-eun Kim, Minyoung Lee, Yong-ho Lee, Byung-Wan Lee, Bong-Soo Cha, Eun Seok Kang
    Yonsei Medical Journal.2022; 63(6): 539.     CrossRef
  • Predictors for successful weight reduction during treatment with Dapagliflozin among patients with type 2 diabetes mellitus in primary care
    Youn Huh, Young Sik Kim
    BMC Primary Care.2022;[Epub]     CrossRef
  • Implications of the heterogeneity between guideline recommendations for the use of low dose aspirin in primary prevention of cardiovascular disease
    Xiao-Ying Li, Li Li, Sang-Hoon Na, Francesca Santilli, Zhongwei Shi, Michael Blaha
    American Journal of Preventive Cardiology.2022; 11: 100363.     CrossRef
  • Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
    Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
    Scientific Reports.2022;[Epub]     CrossRef
  • Improvement in Age at Mortality and Changes in Causes of Death in the Population with Diabetes: An Analysis of Data from the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    Endocrinology and Metabolism.2022; 37(3): 466.     CrossRef
  • Analysis of Continuity of Care and Its Related Factors in Diabetic Patients: A Cross-Sectional Study
    Ji Yeh Shin, Ha Jin Kim, BeLong Cho, Yun Jun Yang, Jae Moon Yun
    Korean Journal of Family Medicine.2022; 43(4): 246.     CrossRef
  • Development of Various Diabetes Prediction Models Using Machine Learning Techniques
    Juyoung Shin, Jaewon Kim, Chanjung Lee, Joon Young Yoon, Seyeon Kim, Seungjae Song, Hun-Sung Kim
    Diabetes & Metabolism Journal.2022; 46(4): 650.     CrossRef
  • A causal relationship between alcohol intake and type 2 diabetes mellitus: A two-sample Mendelian randomization study
    Meiling Liu, Sunmin Park
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(12): 2865.     CrossRef
  • Early glycaemic variability increases 28-day mortality and prolongs intensive care unit stay in critically ill patients with pneumonia
    Seong Ho Kim, Ji Young Kim, Eun Song Kim, Il Rae Park, Eun Yeong Ha, Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Annals of Medicine.2022; 54(1): 2724.     CrossRef
  • Association of the Estimated Pulse Wave Velocity with Cardio-Vascular Disease Outcomes among Men and Women Aged 40–69 Years in the Korean Population: An 18-Year Follow-Up Report on the Ansung–Ansan Cohort in the Korean Genome Environment Study
    Byung Sik Kim, Yonggu Lee, Jin-Kyu Park, Young-Hyo Lim, Jeong-Hun Shin
    Journal of Personalized Medicine.2022; 12(10): 1611.     CrossRef
  • Perfluorinated compounds in adults and their association with fasting glucose and incident diabetes: a prospective cohort study
    Seung Min Chung, Dong-Gyu Heo, Ju-Hyun Kim, Ji Sung Yoon, Hyoung Woo Lee, Jong-Yeon Kim, Jun Sung Moon, Kyu Chang Won
    Environmental Health.2022;[Epub]     CrossRef
  • Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
    Anshul Sharma, Chen Lulu, Kee-Ho Song, Hae-Jeung Lee
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Improving Machine Learning Diabetes Prediction Models for the Utmost Clinical Effectiveness
    Juyoung Shin, Joonyub Lee, Taehoon Ko, Kanghyuck Lee, Yera Choi, Hun-Sung Kim
    Journal of Personalized Medicine.2022; 12(11): 1899.     CrossRef
  • Does Pitavastatin Therapy for Patients with Type 2 Diabetes and Dyslipidemia Affect Serum Adiponectin Levels and Insulin Sensitivity?
    Jeongmin Lee, Min-Hee Kim, Jung-Min Lee, Sang-Ah Chang
    Journal of Clinical Medicine.2022; 11(22): 6756.     CrossRef
  • Comparative Efficacy of Lobeglitazone Versus Pioglitazone on Albuminuria in Patients with Type 2 Diabetes Mellitus
    Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
    Diabetes Therapy.2021; 12(1): 171.     CrossRef
  • Efficacy and Safety of Once Weekly Dulaglutide in East Asian Patients with Type 2 Diabetes: Subgroup Analysis by Potential Influential Factors
    Jianhua Ma, Bin Zhang, Jianing Hou, Yongde Peng
    Diabetes Therapy.2021; 12(1): 211.     CrossRef
  • Early combination versus initial metformin monotherapy in the management of newly diagnosed type 2 diabetes: AnEast Asianperspective
    Linong Ji, Juliana C. N. Chan, Miao Yu, Kun Ho Yoon, Sin Gon Kim, Sung Hee Choi, Chien‐Ning Huang, Shih Te Tu, Chih‐Yuan Wang, Päivi Maria Paldánius, Wayne H. H. Sheu
    Diabetes, Obesity and Metabolism.2021; 23(1): 3.     CrossRef
  • Effectiveness and safety of sodium‐glucose co‐transporter‐2 inhibitors compared with dipeptidyl peptidase‐4 inhibitors in older adults with type 2 diabetes: A nationwide population‐based study
    Seung Jin Han, Kyoung Hwa Ha, Nami Lee, Dae Jung Kim
    Diabetes, Obesity and Metabolism.2021; 23(3): 682.     CrossRef
  • Glucodynamics and glucocracy in type 2 diabetes mellitus: clinical evidence and practice-based opinion on modern sulfonylurea use, from an International Expert Group (South Asia, Middle East & Africa) via modified Delphi method
    Sanjay Kalra, Das A. K., Fariduddin Md., Shaikh K., Shah P., Rehim A. A., John M., Shaikh S., Orabi A., Saraswati M. R., Shahjada Selim, Baruah M. P., K. K. Gangopadhyay, Langi Y. A., Nair T., Dhanwal D., Thapa S. D., Deshmukh V., D. Dutta, Khalfan H., Ma
    Current Medical Research and Opinion.2021; 37(3): 403.     CrossRef
  • The association between lipoprotein (a) and carotid atherosclerosis in patients with type 2 diabetes without pre-existing cardiovascular disease: A cross-sectional study
    Ji Eun Jun, Hongsun Kang, You-Cheol Hwang, Kyu Jeung Ahn, Ho-Yeon Chung, In-Kyung Jeong
    Diabetes Research and Clinical Practice.2021; 171: 108622.     CrossRef
  • Glycaemic control with add‐on thiazolidinedione or a sodium‐glucose co‐transporter‐2 inhibitor in patients with type 2 diabetes after the failure of an oral triple antidiabetic regimen: A 24‐week, randomized controlled trial
    Jaehyun Bae, Ji Hye Huh, Minyoung Lee, Yong‐Ho Lee, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2021; 23(2): 609.     CrossRef
  • Effect of Tai Chi on Quality of Life, Body Mass Index, and Waist-Hip Ratio in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
    Jiawei Qin, Yannan Chen, Shuai Guo, Yue You, Ying Xu, Jingsong Wu, Zhizhen Liu, Jia Huang, Lidian Chen, Jing Tao
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
    Soo-Yeon Choi, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 263.     CrossRef
  • Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
    Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Estimation of sodium‐glucose cotransporter 2 inhibitor–related genital and urinary tract infections via electronic medical record–based common data model
    SooJeong Ko, HyungMin Kim, Jiwon Shinn, Sun‐ju Byeon, Jeong‐Hee Choi, Hun‐Sung Kim
    Journal of Clinical Pharmacy and Therapeutics.2021; 46(4): 975.     CrossRef
  • Pharmacokinetic and Pharmacodynamic Comparison of Two Formulations of a Fixed-Dose Combination of Gemigliptin/Rosuvastatin 50/20 mg: A Randomized, Open-Label, Single-Dose, Two-Way Crossover Study
    Eunsol Yang, Hyounggyoon Yoo, In-Jin Jang, Kyung-Sang Yu, SeungHwan Lee
    Drug Design, Development and Therapy.2021; Volume 15: 651.     CrossRef
  • Severe hypoglycemia and the risk of end stage renal disease in type 2 diabetes
    Jae-Seung Yun, Yong-Moon Park, Kyungdo Han, Hyung-Wook Kim, Seon-Ah Cha, Yu-Bae Ahn, Seung-Hyun Ko
    Scientific Reports.2021;[Epub]     CrossRef
  • Long-term HbA1c variability and the development and progression of diabetic retinopathy in subjects with type 2 diabetes
    Han Ul Kim, Sung Pyo Park, Yong-Kyu Kim
    Scientific Reports.2021;[Epub]     CrossRef
  • Impaired fasting glucose levels in overweight or obese subjects for screening of type 2 diabetes in Korea
    Jin-Hee Lee, Suk Chon, Seon-Ah Cha, Sun-Young Lim, Kook-Rye Kim, Jae-Seung Yun, Sang Youl Rhee, Kun-Ho Yoon, Yu-Bae Ahn, Jeong-Taek Woo, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 382.     CrossRef
  • Simple Sugar Intake in Diabetics and Non-Diabetic Patients Who Visit Primary Care Clinic
    Seo Young Park, Geun Bae Moon, Young Sik Kim, Seung Hee Kim
    Korean Journal of Family Practice.2021; 11(1): 29.     CrossRef
  • Effect of Teneligliptin versus Sulfonylurea on Major Adverse Cardiovascular Outcomes in People with Type 2 Diabetes Mellitus: A Real-World Study in Korea
    Da Hea Seo, Kyoung Hwa Ha, So Hun Kim, Dae Jung Kim
    Endocrinology and Metabolism.2021; 36(1): 70.     CrossRef
  • Best Achievements in Clinical Medicine in Diabetes and Dyslipidemia in 2020
    Eun-Jung Rhee, Mee-Kyung Kim, Won-Young Lee
    Endocrinology and Metabolism.2021; 36(1): 41.     CrossRef
  • Factors Associated with Poor Glycemic Control Amongst Rural Residents with Diabetes in Korea
    Junhee Ahn, Youngran Yang
    Healthcare.2021; 9(4): 391.     CrossRef
  • Diabetes and Stroke
    Junghyun Noh
    The Journal of Korean Diabetes.2021; 22(1): 26.     CrossRef
  • Epidemiology of cardiovascular disease and its risk factors in Korea
    Hyeon Chang Kim
    Global Health & Medicine.2021; 3(3): 134.     CrossRef
  • Cumulative exposure to impaired fasting glucose and future risk of type 2 diabetes mellitus
    Mee Kyoung Kim, Kyungdo Han, Eun Sil Koh, Oak-Kee Hong, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    Diabetes Research and Clinical Practice.2021; 175: 108799.     CrossRef
  • No Relevant Pharmacokinetic Drug–Drug Interaction Between the Sodium-Glucose Co-Transporter-2 Inhibitor Empagliflozin and Lobeglitazone, a Peroxisome Proliferator-Activated Receptor-γ Agonist, in Healthy Subjects
    Yu Kyong Kim, Jun Gi Hwang, Min Kyu Park
    Drug Design, Development and Therapy.2021; Volume 15: 1725.     CrossRef
  • Comparative Renal Effects of Dipeptidyl Peptidase-4 Inhibitors and Sodium-Glucose Cotransporter 2 Inhibitors on Individual Outcomes in Patients with Type 2 Diabetes: A Systematic Review and Network Meta-Analysis
    Jae Hyun Bae, Eun-Gee Park, Sunhee Kim, Sin Gon Kim, Seokyung Hahn, Nam Hoon Kim
    Endocrinology and Metabolism.2021; 36(2): 388.     CrossRef
  • The Association Between Second-Line Oral Antihyperglycemic Medication on Types of Dementia in Type 2 Diabetes: A Nationwide Real-World Longitudinal Study
    Won Jun Kim, Jung Hyun Noh, Kyungdo Han, Cheol-Young Park
    Journal of Alzheimer's Disease.2021; 81(3): 1263.     CrossRef
  • Personalized Type 2 Diabetes Management Using a Mobile Application Integrated with Electronic Medical Records: An Ongoing Randomized Controlled Trial
    Eun-Young Lee, Jae-Seung Yun, Seon-Ah Cha, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Seung-Hyun Ko
    International Journal of Environmental Research and Public Health.2021; 18(10): 5300.     CrossRef
  • Cerium Oxide Nanoparticle-Containing Colorimetric Contact Lenses for Noninvasively Monitoring Human Tear Glucose
    Sijin Park, Juil Hwang, Hee-Jae Jeon, Woo Ri Bae, In-Kyung Jeong, Tae Gi Kim, Jaheon Kang, Young-Geun Han, Euiheon Chung, Dong Yun Lee
    ACS Applied Nano Materials.2021; 4(5): 5198.     CrossRef
  • Low nutritional status links to the prevalence of pre-metabolic syndrome and its cluster in metabolically high-risk Korean adults
    Jieun Kim, Kyoungsik Jeong, Siwoo Lee, Bok-Nam Seo, Younghwa Baek
    Medicine.2021; 100(20): e25905.     CrossRef
  • Dynamics of Serum Retinol and Alpha-Tocopherol Levels According to Non-Alcoholic Fatty Liver Disease Status
    Dongsub Jeon, Minkook Son, Juhyun Shim
    Nutrients.2021; 13(5): 1720.     CrossRef
  • Classification and Prediction on the Effects of Nutritional Intake on Overweight/Obesity, Dyslipidemia, Hypertension and Type 2 Diabetes Mellitus Using Deep Learning Model: 4–7th Korea National Health and Nutrition Examination Survey
    Hyerim Kim, Dong Hoon Lim, Yoona Kim
    International Journal of Environmental Research and Public Health.2021; 18(11): 5597.     CrossRef
  • Comparison of insulin glargine 300 U/mL versus glargine 100 U/mL on glycemic control and hypoglycemic events in East Asian patients with type 2 diabetes: A Patient-level meta-analysis of phase 3 studies
    Linong Ji, Yan Bi, Shandong Ye, Yun Huang, Xia Zhang, Shuhua Shang, Nan Cui, Huiqiu Yin, Minlu Zhang
    Diabetes Research and Clinical Practice.2021; 176: 108848.     CrossRef
  • Modifiable Risk Factors for Cardiovascular Disease in Korea and Japan
    Ahmed Arafa, Hyeok-Hee Lee, Ehab S. Eshak, Kokoro Shirai, Keyang Liu, Jiaqi Li, Naharin Sultana Anni, Sun Young Shim, Hyeon Chang Kim, Hiroyasu Iso
    Korean Circulation Journal.2021; 51(8): 643.     CrossRef
  • Sodium-Glucose Cotransporter-2 Inhibitors Ameliorate Liver Enzyme Abnormalities in Korean Patients With Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease
    Won Euh, Soo Lim, Jin-Wook Kim
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Effect of serum isoniazid level on treatment outcomes among tuberculosis patients with slow response – A retrospective cohort study
    Hyung Woo Kim, Ah Young Shin, Jick Hwan Ha, Joong Hyun Ahn, Hye Seon Kang, Ju Sang Kim
    Journal of Infection and Chemotherapy.2021; 27(11): 1555.     CrossRef
  • Recent Perspective of Metformin
    Sangmo Hong
    The Journal of Korean Diabetes.2021; 22(2): 85.     CrossRef
  • Diabetes Monotherapies versus Metformin-Based Combination Therapy for the Treatment of Type 2 Diabetes
    Awadhesh K Singh, Ritu Singh, Partha Pratim Chakraborty
    International Journal of General Medicine.2021; Volume 14: 3833.     CrossRef
  • The Metabolic Score for Insulin Resistance (METS-IR) as a Predictor of Incident Ischemic Heart Disease: A Longitudinal Study among Korean without Diabetes
    Jihyun Yoon, Donghyuk Jung, Yongjae Lee, Byoungjin Park
    Journal of Personalized Medicine.2021; 11(8): 742.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Ja Young Jeon
    Diabetes & Metabolism Journal.2021; 45(4): 613.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
    Diabetes & Metabolism Journal.2021; 45(4): 461.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study (Diabetes Metab J 2021;45:368-78)
    Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2021; 45(4): 617.     CrossRef
  • Cardiovascular Safety of SGLT2 Inhibitors Compared to DPP4 Inhibitors and Sulfonylureas as the Second-Line of Therapy in T2DM Using Large, Real-World Clinical Data in Korea
    Kyuho Kim, Sung Hee Choi
    Diabetes & Metabolism Journal.2021; 45(4): 502.     CrossRef
  • The Effects of Dietary Education Interventions on Individuals with Type 2 Diabetes: A Systematic Review and Meta-Analysis
    Juri Kim, Myung-Haeng Hur
    International Journal of Environmental Research and Public Health.2021; 18(16): 8439.     CrossRef
  • Treatment Patterns of Type 2 Diabetes Assessed Using a Common Data Model Based on Electronic Health Records of 2000–2019
    Kyung Ae Lee, Heung Yong Jin, Yu Ji Kim, Yong-Jin Im, Eun-Young Kim, Tae Sun Park
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
    Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • Comparison of the Effects of Various Antidiabetic Medication on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus
    Jeonghoon Ha, Yejee Lim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Ho Song, Seung Hyun Ko, Moo Il Kang, Sung Dae Moon, Ki-Hyun Baek
    Endocrinology and Metabolism.2021; 36(4): 895.     CrossRef
  • Non-Laboratory-Based Simple Screening Model for Nonalcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Developed Using Multi-Center Cohorts
    Jiwon Kim, Minyoung Lee, Soo Yeon Kim, Ji-Hye Kim, Ji Sun Nam, Sung Wan Chun, Se Eun Park, Kwang Joon Kim, Yong-ho Lee, Joo Young Nam, Eun Seok Kang
    Endocrinology and Metabolism.2021; 36(4): 823.     CrossRef
  • High Fibrosis-4 Index Is Related with Worse Clinical Outcome in Patients with Coronavirus Disease 2019 and Diabetes Mellitus: A Multicenter Observational Study
    Sung-Woo Kim, Jae-Han Jeon, Jun Sung Moon, Mi Kyung Kim
    Endocrinology and Metabolism.2021; 36(4): 800.     CrossRef
  • Predictive Value of the Atherogenic Index of Plasma (AIP) for the Risk of Incident Ischemic Heart Disease among Non-Diabetic Koreans
    Julie J. Kim, Jihyun Yoon, Yong-Jae Lee, Byoungjin Park, Dong-Hyuk Jung
    Nutrients.2021; 13(9): 3231.     CrossRef
  • Quantity and quality of complementary and alternative medicine recommendations in clinical practice guidelines for type 2 diabetes mellitus: A systematic review
    Jeremy Y. Ng, Kiran D. Verma, Kevin Gilotra
    Nutrition, Metabolism and Cardiovascular Diseases.2021; 31(11): 3004.     CrossRef
  • Framingham Risk Score Assessment in Subjects with Pre-diabetes and Diabetes: A Cross-Sectional Study in Korea
    Hyuk Sang Kwon, Kee Ho Song, Jae Myung Yu, Dong Sun Kim, Ho Sang Shon, Kyu Jeung Ahn, Sung Hee Choi, Seung Hyun Ko, Won Kim, Kyoung Hwa Lee, Il Seong Nam-Goong, Tae Sun Park
    Journal of Obesity & Metabolic Syndrome.2021; 30(3): 261.     CrossRef
  • Frequency of Exposure to Impaired Fasting Glucose and Risk of Mortality and Cardiovascular Outcomes
    Seung-Hwan Lee, Kyungdo Han, Hyuk-Sang Kwon, Mee Kyoung Kim
    Endocrinology and Metabolism.2021; 36(5): 1007.     CrossRef
  • How Can We Adopt the Glucose Tolerance Test to Facilitate Predicting Pregnancy Outcome in Gestational Diabetes Mellitus?
    Kyeong Jin Kim, Nam Hoon Kim, Jimi Choi, Sin Gon Kim, Kyung Ju Lee
    Endocrinology and Metabolism.2021; 36(5): 988.     CrossRef
  • Symptom Clusters and Quality of Life in Patients with Type 2 Diabetes Mellitus
    Su-Yeon Hong, Yang-Sook Yoo
    Korean Journal of Adult Nursing.2021; 33(5): 498.     CrossRef
  • Long-term effectiveness and safety of quadruple combination therapy with empagliflozin versus dapagliflozin in patients with type 2 diabetes: 3-year prospective observational study
    Eu Jeong Ku, Dong-Hwa Lee, Hyun Jeong Jeon, Tae Keun Oh
    Diabetes Research and Clinical Practice.2021; 182: 109123.     CrossRef
  • Long-term effects of the mean hemoglobin A1c levels after percutaneous coronary intervention in patients with diabetes
    Jaekyung Bae, Ji-Hyung Yoon, Jung-Hee Lee, Jong-Ho Nam, Chan-Hee Lee, Jang-Won Son, Ung Kim, Jong-Seon Park, Dong-Gu Shin
    The Korean Journal of Internal Medicine.2021; 36(6): 1365.     CrossRef
  • Role of Leptin with hypothyroidism in Iraqi diabetic type 2 patients
    Sulaiman M. Hasan
    Bionatura.2021; 6(4): 2274.     CrossRef
  • Impacts of statin and metformin on neuropathy in patients with type 2 diabetes mellitus: Korean Health Insurance data
    Hong Ki Min, Se Hee Kim, Jong Han Choi, Kyomin Choi, Hae-Rim Kim, Sang-Heon Lee
    World Journal of Clinical Cases.2021; 9(33): 10198.     CrossRef
  • Muscle strength, an independent determinant of glycemic control in older adults with long-standing type 2 diabetes: a prospective cohort study
    Bo Kyung Koo, Seoil Moon, Min Kyong Moon
    BMC Geriatrics.2021;[Epub]     CrossRef
  • Comparisons of Neuropsychological Characteristics of Elderly Subjects With Versus Without History of Agent Orange Exposure
    Seunggyu Han, Jinhee Choi, Hyung Seok So, Hayun Choi, Hong Jin Jeon, Jinseob Kim, Kiwon Kim
    Journal of Korean Neuropsychiatric Association.2021; 60(4): 346.     CrossRef
  • Uric Acid Variability as a Predictive Marker of Newly Developed Cardiovascular Events in Type 2 Diabetes
    Hae Kyung Kim, Minyoung Lee, Yong-ho Lee, Byung-Wan Lee, Bong-Soo Cha, Eun Seok Kang
    Frontiers in Cardiovascular Medicine.2021;[Epub]     CrossRef
  • Metformin use and cardiovascular outcomes in patients with diabetes and chronic kidney disease: a nationwide cohort study
    Min Ho Kim, Hyung Jung Oh, Soon Hyo Kwon, Jin Seok Jeon, Hyunjin Noh, Dong Cheol Han, Hyoungnae Kim, Dong-Ryeol Ryu
    Kidney Research and Clinical Practice.2021; 40(4): 660.     CrossRef
  • Sleep Duration and Its Associations with Mortality and Quality of Life in Chronic Obstructive Pulmonary Disease: Results from the 2007–2015 KNAHNES
    So Jeong Kim, Nakwon Kwak, Sun Mi Choi, Jinwoo Lee, Young Sik Park, Chang-Hoon Lee, Sang-Min Lee, Chul-Gyu Yoo, Jaeyoung Cho
    Respiration.2021; 100(11): 1043.     CrossRef
  • Non-Alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus: A Position Statement of the Fatty Liver Research Group of the Korean Diabetes Association
    Byung-Wan Lee, Yong-ho Lee, Cheol-Young Park, Eun-Jung Rhee, Won-Young Lee, Nan-Hee Kim, Kyung Mook Choi, Keun-Gyu Park, Yeon-Kyung Choi, Bong-Soo Cha, Dae Ho Lee
    Diabetes & Metabolism Journal.2020; 44(3): 382.     CrossRef
  • Effects of Co‐administration of Sulfonylureas and Antimicrobial Drugs on Hypoglycemia in Patients with Type 2 Diabetes Using a Case‐Crossover Design
    Sera Lee, Miyoung Ock, Hun‐Sung Kim, Hyunah Kim
    Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy.2020; 40(9): 902.     CrossRef
  • Diabetic kidney disease: seven questions
    Dong Ho Yang, So-Young Lee
    Journal of the Korean Medical Association.2020; 63(1): 6.     CrossRef
  • Diabetes and Metabolism Journal in 2020: Good to Great
    In-Kyung Jeong
    Diabetes & Metabolism Journal.2020; 44(1): 1.     CrossRef
  • The Use of Mobile Personal Health Records for Hemoglobin A1c Regulation in Patients With Diabetes: Retrospective Observational Study
    Dongjin Seo, Yu Rang Park, Yura Lee, Ji Young Kim, Joong-Yeol Park, Jae-Ho Lee
    Journal of Medical Internet Research.2020; 22(6): e15372.     CrossRef
  • Non-glucose risk factors in the pathogenesis of diabetic peripheral neuropathy
    Kyung Ae Lee, Tae Sun Park, Heung Yong Jin
    Endocrine.2020; 70(3): 465.     CrossRef
  • An Assessment of Pharmacokinetic Interaction Between Lobeglitazone and Sitagliptin After Multiple Oral Administrations in Healthy Men
    Seol Ju Moon, Kyung-Sang Yu, Min-Gul Kim
    Clinical Therapeutics.2020; 42(6): 1047.     CrossRef
  • The Clinical Characteristics and Outcomes of Patients with Moderate-to-Severe Coronavirus Disease 2019 Infection and Diabetes in Daegu, South Korea
    Mi Kyung Kim, Jae-Han Jeon, Sung-Woo Kim, Jun Sung Moon, Nan Hee Cho, Eugene Han, Ji Hong You, Ji Yeon Lee, Miri Hyun, Jae Seok Park, Yong Shik Kwon, Yeon-Kyung Choi, Ki Tae Kwon, Shin Yup Lee, Eon Ju Jeon, Jin-Woo Kim, Hyo-Lim Hong, Hyun Hee Kwon, Chi Yo
    Diabetes & Metabolism Journal.2020; 44(4): 602.     CrossRef
  • The Risk of Diabetes on Clinical Outcomes in Patients with Coronavirus Disease 2019: A Retrospective Cohort Study
    Seung Min Chung, Yin Young Lee, Eunyeong Ha, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee, Jian Hur, Kyung Soo Hong, Jong Geol Jang, Hyun Jung Jin, Eun Young Choi, Kyeong-Cheol Shin, Jin Hong Chung, Kwan Ho Lee, June Hong Ahn, Jun Sung Moon
    Diabetes & Metabolism Journal.2020; 44(3): 405.     CrossRef
  • A model to predict risk of stroke in middle-aged adults with type 2 diabetes generated from a nationwide population-based cohort study in Korea
    Mee-Kyoung Kim, Kyungdo Han, Jae-Hyoung Cho, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
    Diabetes Research and Clinical Practice.2020; 163: 108157.     CrossRef
  • Effects of Cardiovascular Risk Factor Variability on Health Outcomes
    Seung-Hwan Lee, Mee Kyoung Kim, Eun-Jung Rhee
    Endocrinology and Metabolism.2020; 35(2): 217.     CrossRef
  • Sodium-Glucose Cotransporter-2 Inhibitor for Renal Function Preservation in Patients with Type 2 Diabetes Mellitus: A Korean Diabetes Association and Korean Society of Nephrology Consensus Statement
    Tae Jung Oh, Ju-Young Moon, Kyu Yeon Hur, Seung Hyun Ko, Hyun Jung Kim, Taehee Kim, Dong Won Lee, Min Kyong Moon
    Diabetes & Metabolism Journal.2020; 44(4): 489.     CrossRef
  • Metformin Treatment for Patients with Diabetes and Chronic Kidney Disease: A Korean Diabetes Association and Korean Society of Nephrology Consensus Statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Diabetes & Metabolism Journal.2020; 44(1): 3.     CrossRef
  • Prevalence and Current Management of Cardiovascular Risk Factors in Korean Adults Based on Fact Sheets
    Eun-Jung Rhee
    Endocrinology and Metabolism.2020; 35(1): 85.     CrossRef
  • Using adult stem cells to monitor endothelial dysfunction in diabetes mellitus
    Rohit Jain, Hassan Awal, Sabyasachi Sen
    Journal of Diabetes and its Complications.2020; 34(7): 107588.     CrossRef
  • Fibrates Revisited: Potential Role in Cardiovascular Risk Reduction
    Nam Hoon Kim, Sin Gon Kim
    Diabetes & Metabolism Journal.2020; 44(2): 213.     CrossRef
  • Metformin treatment for patients with diabetes and chronic kidney disease: A Korean Diabetes Association and Korean Society of Nephrology consensus statement
    Kyu Yeon Hur, Mee Kyoung Kim, Seung Hyun Ko, Miyeun Han, Dong Won Lee, Hyuk-Sang Kwon
    Kidney Research and Clinical Practice.2020; 39(1): 32.     CrossRef
  • Generation of iPSC-derived insulin-producing cells from patients with type 1 and type 2 diabetes compared with healthy control
    Min Jung Kim, Eun Young Lee, Young-Hye You, Hae Kyung Yang, Kun-Ho Yoon, Ji-Won Kim
    Stem Cell Research.2020; 48: 101958.     CrossRef
  • Glucose-Lowering Effect of Home-Delivered Therapeutic Meals in Patients with Type 2 Diabetes
    Jong Han Choi, Se Hee Min, Kyeong Hye Lim, Uoon Jeong Shin, Min-Seon Kim
    The Journal of Korean Diabetes.2020; 21(1): 46.     CrossRef
  • Subclinical thyroid dysfunction in the first trimester of pregnancy: ‘Disease’ versus physiological (pulsatile) variation in TSH concentrations
    Krzysztof C. Lewandowski, Karolina Garnysz, Wojciech Horzelski, Joanna Kawalec, Karolina Budzen, Mariusz Grzesiak, Andrzej Lewinski
    Clinical Endocrinology.2020; 93(6): 739.     CrossRef
  • Usefulness of carotid ultrasonography and treatment of carotid disease
    Seung Min Kim, Yeon Jung Kim, Keonwoo Kim, Bum Joon Kim
    Journal of the Korean Medical Association.2020; 63(6): 342.     CrossRef
  • Clinical Characteristics and Prevalence of Comorbidities according to Metformin Use in Korean Patients with Type 2 Diabetes
    Sang Ouk Chin, In Gyoon Ha, Sang Youl Rhee, Su Jin Jeong, Suk Chon, Sung Hoon Kim, Kyu Jeung Ahn, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Jeong Taek Woo
    International Journal of Endocrinology.2020; 2020: 1.     CrossRef
  • Prepregnancy smoking and the risk of gestational diabetes requiring insulin therapy
    Mee Kyoung Kim, Kyungdo Han, Sang Youn You, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
    Scientific Reports.2020;[Epub]     CrossRef
  • Use of SGLT-2 Inhibitors in Patients with Type 2 Diabetes Mellitus and Abdominal Obesity: An Asian Perspective and Expert Recommendations
    Wayne Huey-Herng Sheu, Siew Pheng Chan, Bien J. Matawaran, Chaicharn Deerochanawong, Ambrish Mithal, Juliana Chan, Ketut Suastika, Chin Meng Khoo, Huu Man Nguyen, Ji Linong, Andrea Luk, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2020; 44(1): 11.     CrossRef
  • Response: The Risk of Diabetes on Clinical Outcomes in Patients with Coronavirus Disease 2019: A Retrospective Cohort Study (Diabetes Metab J 2020;44:405–13)
    Seung Min Chung, June Hong Ahn, Jun Sung Moon
    Diabetes & Metabolism Journal.2020; 44(4): 625.     CrossRef
  • Effect of roux-en Y gastric bypass surgery on patients with type 2 diabetes mellitus
    Ke-Yan Chen, Ying-Li Liu, Jin-Cai Shang, De-Wang Su, Rong-Rong Yao, De-Zhi Ke, Hao Tian
    Medicine.2020; 99(23): e20382.     CrossRef
  • Comparison and Implication of the Contemporary Blood Pressure Guidelines on Korean Population
    So Mi Jemma Cho, Hokyou Lee, Hyeon Chang Kim
    Korean Circulation Journal.2020; 50(6): 485.     CrossRef
  • Efficacy and safety of evogliptin treatment in patients with type 2 diabetes: A multicentre, active‐controlled, randomized, double‐blind study with open‐label extension (the EVERGREEN study)
    Gyuri Kim, Soo Lim, Hyuk‐Sang Kwon, Ie B. Park, Kyu J. Ahn, Cheol‐Young Park, Su K. Kwon, Hye S. Kim, Seok W. Park, Sin G. Kim, Min K. Moon, Eun S. Kim, Choon H. Chung, Kang S. Park, Mikyung Kim, Dong J. Chung, Chang B. Lee, Tae H. Kim, Moon‐Kyu Lee
    Diabetes, Obesity and Metabolism.2020; 22(9): 1527.     CrossRef
  • Beneficial effect of anti-diabetic drugs for nonalcoholic fatty liver disease
    Kyung-Soo Kim, Byung-Wan Lee
    Clinical and Molecular Hepatology.2020; 26(4): 430.     CrossRef
  • Predicting the Development of Myocardial Infarction in Middle-Aged Adults with Type 2 Diabetes: A Risk Model Generated from a Nationwide Population-Based Cohort Study in Korea
    Seung-Hwan Lee, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
    Endocrinology and Metabolism.2020; 35(3): 636.     CrossRef
  • Fasting Plasma Glucose Level Independently Predicts the Mortality of Patients with Coronavirus Disease 2019 Infection: A Multicenter, Retrospective Cohort Study
    Min Cheol Chang, Jong-Moon Hwang, Jae-Han Jeon, Sang Gyu Kwak, Donghwi Park, Jun Sung Moon
    Endocrinology and Metabolism.2020; 35(3): 595.     CrossRef
  • Sodium-glucose cotransporter-2 inhibitor for renal function preservation in patients with type 2 diabetes mellitus: A Korean Diabetes Association and Korean Society of Nephrology consensus statement
    Tae Jung Oh, Ju-Young Moon, Kyu Yeon Hur, Seung Hyun Ko, Hyun Jung Kim, Taehee Kim, Dong Won Lee, Min Kyong Moon
    Kidney Research and Clinical Practice.2020; 39(3): 269.     CrossRef
  • Dynamic changes in nocturnal blood glucose levels are associated with sleep-related features in patients with obstructive sleep apnea
    Jung-Ick Byun, Kwang Su Cha, Ji Eun Jun, Tae-Joon Kim, Ki-Young Jung, In-Kyung Jeong, Won Chul Shin
    Scientific Reports.2020;[Epub]     CrossRef
  • Effect of Switching from Linagliptin to Teneligliptin Dipeptidyl Peptidase-4 Inhibitors in Older Patients with Type 2 Diabetes Mellitus


    Eugene Han, Minyoung Lee, Yong-ho Lee, Hye Soon Kim, Byung-wan Lee, Bong-Soo Cha, Eun Seok Kang
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 4113.     CrossRef
  • A prospective cohort study on effects of gemigliptin on cardiovascular outcomes in patients with type 2 diabetes (OPTIMUS study)
    Eun Heui Kim, Sang Soo Kim, Dong Jun Kim, Young Sik Choi, Chang Won Lee, Bon Jeong Ku, Kwang Soo Cha, Kee Ho Song, Dae Kyeong Kim, In Joo Kim
    Scientific Reports.2020;[Epub]     CrossRef
  • Effect of Variability in Blood Pressure, Glucose and Cholesterol Concentrations, and Body Weight on Emergency Hospitalization and 30‐Day Mortality in the General Population
    Seung‐Hwan Lee, Kyungdo Han, Hyuk‐Sang Kwon, Kun‐Ho Yoon, Mee Kyoung Kim
    Journal of the American Heart Association.2020;[Epub]     CrossRef
  • Systematic review of clinical practice guidelines to identify recommendations for sleep in type 2 diabetes mellitus management
    Aisling Smyth, Mark Jenkins, Melissa Dunham, Yvonne Kutzer, Shahrad Taheri, Lisa Whitehead
    Diabetes Research and Clinical Practice.2020; 170: 108532.     CrossRef
  • The risk factors for treatment-related mortality within first three months after kidney transplantation
    Ye Na Kim, Do Hyoung Kim, Ho Sik Shin, Sangjin Lee, Nuri Lee, Min-Jeong Park, Wonkeun Song, Seri Jeong, Robert Jeenchen Chen
    PLOS ONE.2020; 15(12): e0243586.     CrossRef
  • The triglyceride glucose index is a simple and low-cost marker associated with atherosclerotic cardiovascular disease: a population-based study
    Sangmo Hong, Kyungdo Han, Cheol-Young Park
    BMC Medicine.2020;[Epub]     CrossRef
  • The triglyceride-glucose index predicts ischemic heart disease risk in Koreans: a prospective study using National Health Insurance Service data
    Byoungjin Park, Yong-Jae Lee, Hye Sun Lee, Dong-Hyuk Jung
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Increased Age of Death and Change in Causes of Death Among Persons With Diabetes Mellitus From the Korean National Health Insurance and Statistical Information Service, 2006 to 2018
    Eugene Han, Sun Ok Song, Hye Soon Kim, Kang Ju Son, Sun Ha Jee, Bong-Soo Cha, Byung-Wan Lee
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Letter: Dipeptidyl Peptidase-4 Inhibitors versus Other Antidiabetic Drugs Added to Metformin Monotherapy in Diabetic Retinopathy Progression: A Real World-Based Cohort Study (Diabetes Metab J 2019;43:640–8)
    Jun Sung Moon
    Diabetes & Metabolism Journal.2019; 43(6): 911.     CrossRef
  • Differences in prevalence of hypertension subtypes according to the 2018 Korean Society of Hypertension and 2017 American College of Cardiology/American Heart Association guidelines: The Korean National Health and Nutrition Examination Survey, 2007–2017 (
    So Mi Jemma Cho, Hokyou Lee, Hyeon Chang Kim
    Clinical Hypertension.2019;[Epub]     CrossRef
  • Adult Stem Cells: Beyond Regenerative Tool, More as a Bio-Marker in Obesity and Diabetes
    Sabyasachi Sen
    Diabetes & Metabolism Journal.2019; 43(6): 744.     CrossRef
  • Cholesterol levels and development of cardiovascular disease in Koreans with type 2 diabetes mellitus and without pre-existing cardiovascular disease
    Mee Kyoung Kim, Kyungdo Han, Han Na Joung, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Management of Cardiovascular Risk Factors in Elderly Diabetes Mellitus Patients
    Sung Hoon Yu
    The Journal of Korean Diabetes.2019; 20(4): 233.     CrossRef
  • Letter: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2019;43:582–9)
    Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(6): 909.     CrossRef
  • An Age of Sodium-Glucose Cotransporter-2 Inhibitor Priority: Are We Ready?
    Ji A Seo
    Diabetes & Metabolism Journal.2019; 43(5): 578.     CrossRef
  • Association between Diabetes and the Use of Removable Dental Prostheses among the Korean Population
    Jae-Hyun Lee, Jung-Suk Han, Kyungdo Han, Su-Young Lee
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • Metabolic Surgery and Diabetes Mellitus: Its Effects and Side Effects
    Mee Kyoung Kim
    The Journal of Korean Diabetes.2019; 20(4): 205.     CrossRef
Clinical Diabetes & Therapeutics
Effectiveness and Safety of Adding Basal Insulin Glargine in Patients with Type 2 Diabetes Mellitus Exhibiting Inadequate Response to Metformin and DPP-4 Inhibitors with or without Sulfonylurea
Yu Mi Kang, Chang Hee Jung, Seung-Hwan Lee, Sang-Wook Kim, Kee-Ho Song, Sin Gon Kim, Jae Hyeon Kim, Young Min Cho, Tae Sun Park, Bon Jeong Ku, Gwanpyo Koh, Dol Mi Kim, Byung-Wan Lee, Joong-Yeol Park
Diabetes Metab J. 2019;43(4):432-446.   Published online June 19, 2019
DOI: https://doi.org/10.4093/dmj.2018.0092
  • 6,192 View
  • 98 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

We aimed to investigate the effectiveness and safety of adding basal insulin to initiating dipeptidyl peptidase-4 (DPP-4) inhibitor and metformin and/or sulfonylurea (SU) in achieving the target glycosylated hemoglobin (HbA1c) in patients with type 2 diabetes mellitus (T2DM).

Methods

This was a single-arm, multicenter, 24-week, open-label, phase 4 study in patients with inadequately controlled (HbA1c ≥7.5%) T2DM despite the use of DPP-4 inhibitor and metformin. A total of 108 patients received insulin glargine while continuing oral antidiabetic drugs (OADs). The primary efficacy endpoint was the percentage of subjects achieving HbA1c ≤7.0%. Other glycemic profiles were also evaluated, and the safety endpoints were adverse events (AEs) and hypoglycemia.

Results

The median HbA1c at baseline (8.9%; range, 7.5% to 11.1%) decreased to 7.6% (5.5% to 11.7%) at 24 weeks. Overall, 31.7% subjects (n=33) achieved the target HbA1c level of ≤7.0%. The mean differences in body weight and fasting plasma glucose were 1.2±3.4 kg and 56.0±49.8 mg/dL, respectively. Hypoglycemia was reported in 36 subjects (33.3%, 112 episodes), all of which were fully recovered. There was no serious AE attributed to insulin glargine. Body weight change was significantly different between SU users and nonusers (1.5±2.5 kg vs. −0.9±6.0 kg, P=0.011).

Conclusion

The combination add-on therapy of insulin glargine, on metformin and DPP-4 inhibitors with or without SU was safe and efficient in reducing HbA1c levels and thus, is a preferable option in managing T2DM patients exhibiting dysglycemia despite the use of OADs.

Citations

Citations to this article as recorded by  
  • Glycaemic control with add‐on thiazolidinedione or a sodium‐glucose co‐transporter‐2 inhibitor in patients with type 2 diabetes after the failure of an oral triple antidiabetic regimen: A 24‐week, randomized controlled trial
    Jaehyun Bae, Ji Hye Huh, Minyoung Lee, Yong‐Ho Lee, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2021; 23(2): 609.     CrossRef
  • Beneficial effect of anti-diabetic drugs for nonalcoholic fatty liver disease
    Kyung-Soo Kim, Byung-Wan Lee
    Clinical and Molecular Hepatology.2020; 26(4): 430.     CrossRef
Obesity and Metabolic Syndrome
The Protective Effects of Increasing Serum Uric Acid Level on Development of Metabolic Syndrome
Tae Yang Yu, Sang-Man Jin, Jae Hwan Jee, Ji Cheol Bae, Moon-Kyu Lee, Jae Hyeon Kim
Diabetes Metab J. 2019;43(4):504-520.   Published online February 21, 2019
DOI: https://doi.org/10.4093/dmj.2018.0079
  • 5,339 View
  • 55 Download
  • 14 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

It has not been determined whether changes in serum uric acid (SUA) level are associated with incident metabolic syndrome (MetS). The aim of the current study was to investigate the relationship between changes in SUA level and development of MetS in a large number of subjects.

Methods

In total, 13,057 subjects participating in a medical health check-up program without a diagnosis of MetS at baseline were enrolled. Cox proportional hazards models were used to test the independent association of percent changes in SUA level with development of MetS.

Results

After adjustment for age, systolic blood pressure, body mass index, fat-free mass (%), estimated glomerular filtration rate, smoking status, fasting glucose, triglyceride, low density lipoprotein cholesterol, high density lipoprotein cholesterol, and baseline SUA levels, the hazard ratios (HRs) (95% confidence intervals [CIs]) for incident MetS in the second, third, and fourth quartiles compared to the first quartile of percent change in SUA level were 1.055 (0.936 to 1.190), 0.927 (0.818 to 1.050), and 0.807 (0.707 to 0.922) in male (P for trend <0.001) and 1.000 (0.843 to 1.186), 0.744 (0.615 to 0.900), and 0.684 (0.557 to 0.840) in female (P for trend <0.001), respectively. As a continuous variable in the fully-adjusted model, each one-standard deviation increase in percent change in SUA level was associated with an HR (95% CI) for incident MetS of 0.944 (0.906 to 0.982) in male (P=0.005) and 0.851 (0.801 to 0.905) in female (P<0.001).

Conclusion

The current study demonstrated that increasing SUA level independently protected against the development of MetS, suggesting a possible role of SUA as an antioxidant in the pathogenesis of incident MetS.

Citations

Citations to this article as recorded by  
  • High prevalence of hyperuricemia and the association with metabolic syndrome in the rural areas of Southwestern China: A structural equation modeling based on the Zhuang minority cohort
    Xiaofen Tang, Shun Liu, Xiaoqiang Qiu, Li Su, Dongping Huang, Jun Liang, Yu Yang, Jennifer Hui Juan Tan, Xiaoyun Zeng, Yihong Xie
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(2): 497.     CrossRef
  • Predictive Value of Collagen Biomarkers in Advanced Chronic Kidney Disease Patients
    Carina Ureche, Gianina Dodi, Adela Mihaela Șerban, Andreea Simona Covic, Luminița Voroneanu, Simona Hogaș, Radu Andy Sascău, Cristian Stătescu, Adrian Covic
    Biomolecules.2023; 13(2): 389.     CrossRef
  • The bidirectional relationship between metabolic syndrome and hyperuricemia in China: A longitudinal study from CHARLS
    Wen-Yu Chen, Yan-Peng Fu, Min Zhou
    Endocrine.2022; 76(1): 62.     CrossRef
  • Correlation between Serum Oxidative Stress Level and Serum Uric Acid and Prognosis in Patients with Hepatitis B-Related Liver Cancer before Operation
    Maowen Yu, Chaozhu Zhang, Hongbo Tang, Chaohui Xiao, Hangjun Che
    Journal of Healthcare Engineering.2022; 2022: 1.     CrossRef
  • Association between metabolic syndrome and uric acid: a systematic review and meta-analysis
    Elena Raya-Cano, Manuel Vaquero-Abellán, Rafael Molina-Luque, Domingo De Pedro-Jiménez, Guillermo Molina-Recio, Manuel Romero-Saldaña
    Scientific Reports.2022;[Epub]     CrossRef
  • Acute moderate‐intensity aerobic exercise promotes purinergic and inflammatory responses in sedentary, overweight and physically active subjects
    Cesar Eduardo Jacintho Moritz, Franccesco Pinto Boeno, Alexandra Ferreira Vieira, Samuel Vargas Munhoz, Juliete Nathali Scholl, Amanda de Fraga Dias, Pauline Rafaela Pizzato, Fabrício Figueiró, Ana Maria Oliveira Battastini, Alvaro Reischak‐Oliveira
    Experimental Physiology.2021; 106(4): 1024.     CrossRef
  • Association between baseline and changes in serum uric acid and incident metabolic syndrome: a nation-wide cohort study and updated meta-analysis
    Sen Chen, Nianwei Wu, Chuan Yu, Ying Xu, Chengfu Xu, Yuli Huang, Jian Zhao, Ningxiu Li, Xiong-Fei Pan
    Nutrition & Metabolism.2021;[Epub]     CrossRef
  • Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
    Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
    Obesity Reviews.2021;[Epub]     CrossRef
  • Inverse associations between serum urate and glycemic status in a general population and in persons with diabetes mellitus
    Ichiro Wakabayashi
    Diabetology & Metabolic Syndrome.2020;[Epub]     CrossRef
  • Association of Serum Uric Acid with Metabolic Syndrome and Its Components: A Mendelian Randomization Analysis
    Lu Wang, Tao Zhang, Yafei Liu, Fang Tang, Fuzhong Xue
    BioMed Research International.2020; 2020: 1.     CrossRef
  • Association between Serum Uric Acid and Metabolic Syndrome in Koreans
    Jihyun Jeong, Young Ju Suh
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
Epidemiology
High Proportion of Adult Cases and Prevalence of Metabolic Syndrome in Type 1 Diabetes Mellitus Population in Korea: A Nationwide Study
You-Bin Lee, Kyungdo Han, Bongsung Kim, Sang-Man Jin, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Jae Hyeon Kim
Diabetes Metab J. 2019;43(1):76-89.   Published online August 22, 2018
DOI: https://doi.org/10.4093/dmj.2018.0048
  • 6,572 View
  • 118 Download
  • 27 Web of Science
  • 30 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

The prevalence and incidence of type 1 diabetes mellitus (T1DM) in all age groups and the prevalence of metabolic syndrome in patients with T1DM in Korea were estimated.

Methods

The incidence and prevalence of T1DM between 2007 and 2013 were calculated using the Korean National Health Insurance Service (NHIS) datasets of claims. Clinical characteristics and prevalence of metabolic syndrome in individuals with T1DM between 2009 and 2013 were determined using the database of NHIS preventive health checkups.

Results

The prevalence of T1DM in Korea between 2007 and 2013 was 0.041% to 0.047%. The annual incidence rate of T1DM in Korea in 2007 to 2013 was 2.73 to 5.02/100,000 people. Although the incidence rate of typical T1DM was highest in teenagers, it remained steady in adults over 30 years of age. In contrast, the incidence rate of atypical T1DM in 2013 was higher in people aged 40 years or older than in younger age groups. Age- and sex-adjusted prevalence of metabolic syndrome in patients with T1DM was 51.65% to 55.06% between 2009 and 2013.

Conclusion

T1DM may be more common in Korean adults than previously believed. Metabolic syndrome may be a frequent finding in individuals with T1DM in Korea.

Citations

Citations to this article as recorded by  
  • Increased risk of incident mental disorders in adults with new-onset type 1 diabetes diagnosed after the age of 19: A nationwide cohort study
    Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Diabetes & Metabolism.2024; 50(1): 101505.     CrossRef
  • Incidence and trends of type 1 diabetes before and after 2000 in the Western Pacific Region: A systematic review and meta-analysis
    Du Wang, Xiaoli Hou, Juan Huang, Jianjing Sun, Takashi Kadowaki, Moon-Kyu Lee, Alicia J. Jenkins, Linong Ji
    Diabetes Research and Clinical Practice.2024; 207: 111055.     CrossRef
  • Prevalence of Metabolic Syndrome and Its Risk Factors Influence on Microvascular Complications in Patients With Type 1 and Type 2 Diabetes Mellitus
    Asad Riaz, Shoaib Asghar, Salman Shahid, Haider Tanvir, Muhammad Hamza Ejaz, Mamuna Akram
    Cureus.2024;[Epub]     CrossRef
  • Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study
    So Hee Park, You-Bin Lee, Kyu-na Lee, Bongsung Kim, So Hyun Cho, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2024; 48(2): 290.     CrossRef
  • Comparison of Insulin-Treated Patients with Ambiguous Diabetes Type with Definite Type 1 and Type 2 Diabetes Mellitus Subjects: A Clinical Perspective
    Insa Laspe, Juris J. Meier, Michael A. Nauck
    Diabetes & Metabolism Journal.2023; 47(1): 140.     CrossRef
  • Clinical and biochemical profile of childhood–adolescent-onset type 1 diabetes and adult-onset type 1 diabetes among Asian Indians
    Viswanathan Mohan, Ganesan Uma Sankari, Anandakumar Amutha, Ranjit Mohan Anjana, Saravanan Jeba Rani, Ranjit Unnikrishnan, Ulagamathesan Venkatesan, Coimbatore Subramanian Shanthi Rani
    Acta Diabetologica.2023; 60(4): 579.     CrossRef
  • Subtypes of type 2 diabetes and their association with outcomes in Korean adults - A cluster analysis of community-based prospective cohort
    You-Cheol Hwang, Hong-Yup Ahn, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
    Metabolism.2023; 141: 155514.     CrossRef
  • Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
    Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(2): 211.     CrossRef
  • Insulin resistance is more frequent in type 1 diabetes patients with long disease duration
    Yuting Xie, Mei Shi, Xiaolin Ji, Fansu Huang, Li Fan, Xia Li, Zhiguang Zhou
    Diabetes/Metabolism Research and Reviews.2023;[Epub]     CrossRef
  • Long-term Effectiveness of the National Diabetes Quality Assessment Program in South Korea
    Ji Hye Huh, Serim Kwon, Gui Ok Kim, Bo Yeon Kim, Kyoung Hwa Ha, Dae Jung Kim
    Diabetes Care.2023; 46(9): 1700.     CrossRef
  • Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study
    You-Bin Lee, So Hee Park, Kyu-na Lee, Bongsung Kim, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(5): 682.     CrossRef
  • Impact of statin treatment on cardiovascular risk in patients with type 1 diabetes: a population-based cohort study
    Joonsang Yoo, Jimin Jeon, Minyoul Baek, Sun Ok Song, Jinkwon Kim
    Journal of Translational Medicine.2023;[Epub]     CrossRef
  • The emergence of obesity in type 1 diabetes
    Martin T. W. Kueh, Nicholas W. S. Chew, Ebaa Al-Ozairi, Carel W. le Roux
    International Journal of Obesity.2023;[Epub]     CrossRef
  • Association between Metabolic Syndrome and Microvascular Complications in Chinese Adults with Type 1 Diabetes Mellitus
    Qianwen Huang, Daizhi Yang, Hongrong Deng, Hua Liang, Xueying Zheng, Jinhua Yan, Wen Xu, Xiangwen Liu, Bin Yao, Sihui Luo, Jianping Weng
    Diabetes & Metabolism Journal.2022; 46(1): 93.     CrossRef
  • The Incidence of Adult-Onset Type 1 Diabetes: A Systematic Review From 32 Countries and Regions
    Jessica L. Harding, Pandora L. Wander, Xinge Zhang, Xia Li, Suvi Karuranga, Hongzhi Chen, Hong Sun, Yuting Xie, Richard A. Oram, Dianna J. Magliano, Zhiguang Zhou, Alicia J. Jenkins, Ronald C.W. Ma
    Diabetes Care.2022; 45(4): 994.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus
    Jong Ha Baek, Woo Je Lee, Byung-Wan Lee, Soo Kyoung Kim, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2021; 45(1): 46.     CrossRef
  • Genomic ancestry and metabolic syndrome in individuals with type 1 diabetes from an admixed population: a multicentre, cross‐sectional study in Brazil
    B. S. V. Barros, D. C. Santos, L. G. N. Melo, M. H. Pizarro, L. H. Muniz, D. A. Silva, L. C. Porto, M. B. Gomes
    Diabetic Medicine.2021;[Epub]     CrossRef
  • The Interplay Between Diet and the Epigenome in the Pathogenesis of Type-1 Diabetes
    Amira Kohil, Maha Al-Asmakh, Mashael Al-Shafai, Annalisa Terranegra
    Frontiers in Nutrition.2021;[Epub]     CrossRef
  • Risk of early mortality and cardiovascular disease according to the presence of recently diagnosed diabetes and requirement for insulin treatment: A nationwide study
    You‐Bin Lee, Kyungdo Han, Bongsung Kim, Min Sun Choi, Jiyun Park, Minyoung Kim, Sang‐Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
    Journal of Diabetes Investigation.2021; 12(10): 1855.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
    Ye Seul Yang, Tae Seo Sohn
    Diabetes & Metabolism Journal.2021; 45(2): 277.     CrossRef
  • Comparison of fracture risk between type 1 and type 2 diabetes: a comprehensive real-world data
    J. Ha, C. Jeong, K.-D. Han, Y. Lim, M.K. Kim, H.-S. Kwon, K.-H. Song, M.I. Kang, K.-H. Baek
    Osteoporosis International.2021; 32(12): 2543.     CrossRef
  • Early mortality and cardiovascular disease, varied association with body mass index and its changes in insulin-treated diabetes: a nationwide study
    You-Bin Lee, Bongsung Kim, Jiyun Park, Minyoung Kim, Min Sun Choi, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
    International Journal of Obesity.2021; 45(11): 2482.     CrossRef
  • Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need
    Ye Seul Yang, Kyungdo Han, Tae Seo Sohn, Nam Hoon Kim
    The Korean Journal of Internal Medicine.2021; 36(5): 1049.     CrossRef
  • Positive association between the ratio of triglycerides to high-density lipoprotein cholesterol and diabetes incidence in Korean adults
    Joungyoun Kim, Sang-Jun Shin, Ye-Seul Kim, Hee-Taik Kang
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • Mortality and causes of death in a population with blindness in Korea: A longitudinal follow-up study using a national sample cohort
    Hyo Geun Choi, Min Joung Lee, Sang-Mok Lee
    Scientific Reports.2020;[Epub]     CrossRef
  • Hospitalization for heart failure incidence according to the transition in metabolic health and obesity status: a nationwide population-based study
    You-Bin Lee, Da Hye Kim, Seon Mee Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Kyungdo Han, Hye Jin Yoo
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Management of Type 1 Diabetes Mellitus in Adults
    Hye Ryoung Yun
    The Journal of Korean Diabetes.2020; 21(3): 156.     CrossRef
  • New Insulin Pumps and Open Source Artificial Pancreas System in Korea
    Jae Hyeon Kim
    The Journal of Korean Diabetes.2020; 21(4): 197.     CrossRef
  • Risk of early mortality and cardiovascular disease in type 1 diabetes: a comparison with type 2 diabetes, a nationwide study
    You-Bin Lee, Kyungdo Han, Bongsung Kim, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Risk of end‐stage renal disease from chronic kidney disease defined by decreased glomerular filtration rate in type 1 diabetes: A comparison with type 2 diabetes and the effect of metabolic syndrome
    You‐Bin Lee, Kyungdo Han, Bongsung Kim, Ji Eun Jun, Seung‐Eun Lee, Jiyeon Ahn, Gyuri Kim, Sang‐Man Jin, Jae Hyeon Kim
    Diabetes/Metabolism Research and Reviews.2019;[Epub]     CrossRef
Obesity and Metabolic Syndrome
Utility of Serum Albumin for Predicting Incident Metabolic Syndrome According to Hyperuricemia
You-Bin Lee, Ji Eun Jun, Seung-Eun Lee, Jiyeon Ahn, Gyuri Kim, Jae Hwan Jee, Ji Cheol Bae, Sang-Man Jin, Jae Hyeon Kim
Diabetes Metab J. 2018;42(6):529-537.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0012
  • 5,028 View
  • 57 Download
  • 10 Web of Science
  • 10 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Serum albumin and uric acid have been positively linked to metabolic syndrome (MetS). However, the association of MetS incidence with the combination of uric acid and albumin levels has not been investigated. We explored the association of albumin and uric acid with the risk of incident MetS in populations divided according to the levels of these two parameters.

Methods

In this retrospective longitudinal study, 11,613 non-MetS participants were enrolled among 24,185 individuals who had undergone at least four annual check-ups between 2006 and 2012. The risk of incident MetS was analyzed according to four groups categorized by the sex-specific medians of serum albumin and uric acid.

Results

During 55,407 person-years of follow-up, 2,439 cases of MetS developed. The risk of incident MetS increased as the uric acid category advanced in individuals with lower or higher serum albumin categories with hazard ratios (HRs) of 1.386 (95% confidence interval [CI], 1.236 to 1.554) or 1.314 (95% CI, 1.167 to 1.480). However, the incidence of MetS increased with higher albumin levels only in participants in the lower uric acid category with a HR of 1.143 (95% CI, 1.010 to 1.294).

Conclusion

Higher levels of albumin were associated with an increased risk of incident MetS only in individuals with lower uric acid whereas higher levels of uric acid were positively linked to risk of incident MetS regardless of albumin level.

Citations

Citations to this article as recorded by  
  • Dissecting the risk factors for hyperuricemia in vegetarians in Taiwan
    Kai-Chieh Chang, Sin-Yi Huang, Wen-Hsin Tsai, Hao-Wen Liu, Jia-Sin Liu, Chia-Lin Wu, Ko-Lin Kuo
    Journal of the Chinese Medical Association.2024;[Epub]     CrossRef
  • A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China
    Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti
    BMC Public Health.2023;[Epub]     CrossRef
  • Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
    Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi
    Diabetes & Metabolism Journal.2022; 46(5): 756.     CrossRef
  • Nutritional Biomarkers and Heart Rate Variability in Patients with Subacute Stroke
    Eo Jin Park, Seung Don Yoo
    Nutrients.2022; 14(24): 5320.     CrossRef
  • Mean and visit-to-visit variability of glycemia and left ventricular diastolic dysfunction: A longitudinal analysis of 3025 adults with serial echocardiography
    Jiyeon Ahn, Janghyun Koh, Darae Kim, Gyuri Kim, Kyu Yeon Hur, Sang Won Seo, Kyunga Kim, Jae Hyeon Kim, Jeong Hoon Yang, Sang-Man Jin
    Metabolism.2021; 116: 154451.     CrossRef
  • Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
    Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
    Obesity Reviews.2021;[Epub]     CrossRef
  • Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
    Salim S. Virani, Alvaro Alonso, Emelia J. Benjamin, Marcio S. Bittencourt, Clifton W. Callaway, April P. Carson, Alanna M. Chamberlain, Alexander R. Chang, Susan Cheng, Francesca N. Delling, Luc Djousse, Mitchell S.V. Elkind, Jane F. Ferguson, Myriam Forn
    Circulation.2020;[Epub]     CrossRef
  • Association between dairy product consumption and hyperuricemia in an elderly population with metabolic syndrome
    Guillermo Mena-Sánchez, Nancy Babio, Nerea Becerra-Tomás, Miguel Á. Martínez-González, Andrés Díaz-López, Dolores Corella, Maria D. Zomeño, Dora Romaguera, Jesús Vioque, Ángel M. Alonso-Gómez, Julia Wärnberg, José A. Martínez, Luís Serra-Majem, Ramon Estr
    Nutrition, Metabolism and Cardiovascular Diseases.2020; 30(2): 214.     CrossRef
  • Evaluation of serum uric acid levels in patients with rosacea
    Nermin Karaosmanoglu, Engin Karaaslan, Pınar Ozdemir Cetinkaya
    Archives of Dermatological Research.2020; 312(6): 447.     CrossRef
  • Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2019; 43(5): 727.     CrossRef
Epidemiology
Article image
Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
Diabetes Metab J. 2018;42(5):415-424.   Published online August 9, 2018
DOI: https://doi.org/10.4093/dmj.2018.0017
  • 10,697 View
  • 92 Download
  • 73 Web of Science
  • 76 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

This report presents the recent prevalence and comorbidities related to diabetes in Korea by analyzing the nationally representative data.

Methods

Using data from the Korea National Health and Nutrition Examination Survey for 2013 to 2014, the percentages and the total number of subjects over the age of 30 years with diabetes and prediabetes were estimated and applied to the National Population Census in 2014. Diagnosis of diabetes was based on fasting plasma glucose (≥126 mg/dL), current taking of antidiabetic medication, history of previous diabetes, or glycosylated hemoglobin (HbA1c) ≥6.5%. Impaired fasting glucose (IFG) was defined by fasting plasma glucose in the range of 100 to 125 mg/dL among those without diabetes.

Results

About 4.8 million (13.7%) Korean adults (≥30 years old) had diabetes, and about 8.3 million (24.8%) Korean adults had IFG. However, 29.3% of the subjects with diabetes are not aware of their condition. Of the subjects with diabetes, 48.6% and 54.7% were obese and hypertensive, respectively, and 31.6% had hypercholesterolemia. Although most subjects with diabetes (89.1%) were under medical treatment, and mostly being treated with oral hypoglycemic agents (80.2%), 10.8% have remained untreated. With respect to overall glycemic control, 43.5% reached the target of HbA1c <7%, whereas 23.3% reached the target when the standard was set to HbA1c <6.5%, according to the Korean Diabetes Association guideline.

Conclusion

Diabetes is a major public health threat in Korea, but a significant proportion of adults were not controlling their illness. We need comprehensive approaches to overcome the upcoming diabetes-related disease burden in Korea.

Citations

Citations to this article as recorded by  
  • Impact of anaerobic zone on biodegradation of micropollutants: Comparison of micropollutants’ removal efficiencies in lab-scale anaerobic bioreactor and in full-scale anaerobic zone
    Jingyeong Shin, Sungman Lee, Jihea Lee, Heejong Son, Yunho Lee, Young Mo Kim
    Chemical Engineering Journal.2024; 481: 148356.     CrossRef
  • The Risk of the Aggravation of Diabetic Foot According to Air Quality Factors in the Republic of Korea: A Nationwide Population-Based Study
    Saintpee Kim, Sungho Won, Young Yi
    International Journal of Environmental Research and Public Health.2024; 21(6): 775.     CrossRef
  • Methionine sulfoxide reductase B2 protects against cardiac complications in diabetes mellitus
    Seung Hee Lee, Suyeon Cho, Jong Youl Lee, Ji Yeon Kim, Suji Kim, Myoungho Jeong, Jung Yeon Hong, Geun-Young Kim, Seung Woo Lee, Eunmi Kim, Jihwa Kim, Jee Woong Kim, John Hwa, Won-Ho Kim
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Clinical traits and systemic risks of familial diabetes mellitus according to age of onset and quantity: an analysis of data from the community-based KoGES cohort study
    Ju-Yeun Lee, Kyungsik Kim, Sangjun Lee, Woo Ju An, Sue K. Park
    Epidemiology and Health.2023; 45: e2023029.     CrossRef
  • Diabetes self-management education
    Ibironke Cecilia OJO, Elizabeth Olufunmilayo OJO, Simeo Kayode OLUBIYI
    Journal of Integrative Nursing.2023; 5(2): 93.     CrossRef
  • The prevalence and predictors of pre-diabetes and diabetes among adults 40–70 years in Kharameh cohort study: A population-based study in Fars province, south of Iran
    Masoumeh Ghoddusi Johari, Kimia Jokari, Alireza Mirahmadizadeh, Mozhgan Seif, Abbas Rezaianzadeh
    Journal of Diabetes & Metabolic Disorders.2022; 21(1): 85.     CrossRef
  • Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud
    Kyu Hee Lee, Erdenebayar Urtnasan, Sangwon Hwang, Hee Young Lee, Jung Hun Lee, Sang Baek Koh, Hyun Youk
    Yonsei Medical Journal.2022; 63(Suppl): S84.     CrossRef
  • The Impact of Diabetes on Vascular Disease: Progress from the Perspective of Epidemics and Treatments
    Runyang Liu, Lihua Li, Chen Shao, Honghua Cai, Zhongqun Wang, Pawel Kleczynski
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
  • Incidence and Predisposing Factors of Postoperative Infection after Rhinoplasty: A Single Surgeon’s 16-Year Experience with 2630 Cases in an East Asian Population
    Khanh Ngoc Tran, Yong Ju Jang
    Plastic & Reconstructive Surgery.2022; 150(1): 51e.     CrossRef
  • Predictors for successful weight reduction during treatment with Dapagliflozin among patients with type 2 diabetes mellitus in primary care
    Youn Huh, Young Sik Kim
    BMC Primary Care.2022;[Epub]     CrossRef
  • Skin accumulation of advanced glycation end products and cardiovascular risk in Korean patients with type 2 diabetes mellitus
    Lee-Seoul Choi, Kainat Ahmed, Young-Seol Kim, Jung-Eun Yim
    Heliyon.2022; 8(6): e09571.     CrossRef
  • Health-related Quality of Life Instrument With 8 Items for Use in Patients With Type 2 Diabetes Mellitus: A Validation Study in Korea
    Juyoung Kim, Hyeon-Jeong Lee, Min-Woo Jo
    Journal of Preventive Medicine and Public Health.2022; 55(3): 234.     CrossRef
  • Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Prevalence and risk of diabetic complications in young-onset versus late-onset type 2 diabetes mellitus
    Yongin Cho, Hye-Sun Park, Byung Wook Huh, Seong Ha Seo, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, So Hun Kim
    Diabetes & Metabolism.2022; 48(6): 101389.     CrossRef
  • Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora
    Salliah Shafi Bhat, Venkatesan Selvam, Gufran Ahmad Ansari, Mohd Dilshad Ansari, Md Habibur Rahman, Mamoon Rashid
    Computational Intelligence and Neuroscience.2022; 2022: 1.     CrossRef
  • Association between Nighttime Work and HbA1c Levels in South Korea
    Yeon-Suk Lee, Jae Hong Joo, Eun-Cheol Park
    Healthcare.2022; 10(10): 1977.     CrossRef
  • Differences in health behavior and nutrient intake status between diabetes-aware and unaware Korean adults based on the Korea national health and nutrition examination survey 2016–18 data: A cross-sectional study
    Anshul Sharma, Chen Lulu, Kee-Ho Song, Hae-Jeung Lee
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
    Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
    Diabetes & Metabolism Journal.2022; 46(6): 819.     CrossRef
  • Sex differences in sarcopenia and frailty among community‐dwelling Korean older adults with diabetes: The Korean Frailty and Aging Cohort Study
    Sunyoung Kang, Tae Jung Oh, Be Long Cho, Yong Soon Park, Eun Roh, Hyeon Ju Kim, Sam‐Gyu Lee, Bong Jo Kim, Miji Kim, Chang Won Won, Hak Chul Jang
    Journal of Diabetes Investigation.2021; 12(2): 155.     CrossRef
  • Umbilical Cord-Mesenchymal Stem Cell-Conditioned Medium Improves Insulin Resistance in C2C12 Cell
    Kyung-Soo Kim, Yeon Kyung Choi, Mi Jin Kim, Jung Wook Hwang, Kyunghoon Min, Sang Youn Jung, Soo-Kyung Kim, Yong-Soo Choi, Yong-Wook Cho
    Diabetes & Metabolism Journal.2021; 45(2): 260.     CrossRef
  • Hemoglobin glycation index is associated with incident chronic kidney disease in subjects with impaired glucose metabolism: A 10-year longitudinal cohort study
    Wonjin Kim, Taehwa Go, Dae Ryong Kang, Eun Jig Lee, Ji Hye Huh
    Journal of Diabetes and its Complications.2021; 35(1): 107760.     CrossRef
  • East Asian diet‐mimicking diet plan based on the Mediterranean diet and the Dietary Approaches to Stop Hypertension diet in adults with type 2 diabetes: A randomized controlled trial
    Sang‐Man Jin, Jiyeon Ahn, Jiyun Park, Kyu Yeon Hur, Jae Hyeon Kim, Moon‐Kyu Lee
    Journal of Diabetes Investigation.2021; 12(3): 357.     CrossRef
  • Status of Diabetic Neuropathy in Korea: A National Health Insurance Service-National Sample Cohort Analysis (2006 to 2015)
    Seong-Su Moon, Chong Hwa Kim, Seon Mee Kang, Eun Sook Kim, Tae Jung Oh, Jae-Seung Yun, Ho Chan Cho, Dae Jung Kim, Tae Sun Park
    Diabetes & Metabolism Journal.2021; 45(1): 115.     CrossRef
  • Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
    Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Considering serum alanine aminotransferase and gamma-glutamyltransferase levels together strengthen the prediction of impaired fasting glucose risk: a cross-sectional and longitudinal study
    Ji Hye Jeong, Susie Jung, Kyu-Nam Kim
    Scientific Reports.2021;[Epub]     CrossRef
  • The Associations Between Vitamin D Receptor BsmI and ApaI Polymorphisms and Obesity in Korean Patients with Type 2 Diabetes Mellitus
    Sang Won Nam, Jinwoo Choi, Hyun Jeong Jeon, Tae Keun Oh, Dong-Hwa Lee
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 557.     CrossRef
  • Association between living alone and incident type 2 diabetes among middle-aged individuals in Korea: a nationwide cohort study
    Ga Eun Nam, Wonsock Kim, Kyungdo Han, Jin-Hyung Jung, Byoungduck Han, Jinwook Kim, Nan Hee Kim, Kyung Mook Choi, Kyung Hwan Cho, Yong Gyu Park, Seon Mee Kim
    Scientific Reports.2021;[Epub]     CrossRef
  • Retracted: Western pacific consensus proposals for management of prediabetes

    International Journal of Clinical Practice.2021;[Epub]     CrossRef
  • Blood glucose levels and bodyweight change after dapagliflozin administration
    Hyunah Kim, Seung‐Hwan Lee, Hyunyong Lee, Hyeon Woo Yim, Jae‐Hyoung Cho, Kun‐Ho Yoon, Hun‐Sung Kim
    Journal of Diabetes Investigation.2021; 12(9): 1594.     CrossRef
  • Prevalence and socioeconomic burden of diabetes mellitus in South Korean adults: a population-based study using administrative data
    Sung-Hee Oh, Hyemin Ku, Kang Seo Park
    BMC Public Health.2021;[Epub]     CrossRef
  • Prediction of Type 2 Diabetes Based on Machine Learning Algorithm
    Henock M. Deberneh, Intaek Kim
    International Journal of Environmental Research and Public Health.2021; 18(6): 3317.     CrossRef
  • Development of a clinical risk score for incident diabetes: A 10‐year prospective cohort study
    Tae Jung Oh, Jae Hoon Moon, Sung Hee Choi, Young Min Cho, Kyong Soo Park, Nam H Cho, Hak Chul Jang
    Journal of Diabetes Investigation.2021; 12(4): 610.     CrossRef
  • New Era for Renal-Protective Therapy in Type 2 Diabetes: Better Renal Outcomes in Patients with Type 2 Diabetes Taking Sodium-Glucose Cotransporter 2 Inhibitors versus Dipeptidyl Peptidase-4 Inhibitors
    Chan-Hee Jung
    Endocrinology and Metabolism.2021; 36(2): 339.     CrossRef
  • Treatment Patterns of Type 2 Diabetes Assessed Using a Common Data Model Based on Electronic Health Records of 2000–2019
    Kyung Ae Lee, Heung Yong Jin, Yu Ji Kim, Yong-Jin Im, Eun-Young Kim, Tae Sun Park
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • No influence of hepatic steatosis on the 3‐year outcomes of patients with quiescent chronic hepatitis B
    Jin Won Chang, Jae Seung Lee, Hye Won Lee, Beom Kyung Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Seung Up Kim
    Journal of Viral Hepatitis.2021; 28(11): 1545.     CrossRef
  • Occupational Noise Exposure and Incidence of High Fasting Blood Glucose: A 3-Year, Multicenter, Retrospective Study
    Seunghan Kim, Byungyoon Yun, Seunghyun Lee, Changyoung Kim, Juho Sim, Ara Cho, Yeonsuh Oh, Jiho Lee, Jinha Yoon
    International Journal of Environmental Research and Public Health.2021; 18(17): 9388.     CrossRef
  • Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need
    Ye Seul Yang, Kyungdo Han, Tae Seo Sohn, Nam Hoon Kim
    The Korean Journal of Internal Medicine.2021; 36(5): 1049.     CrossRef
  • Blood Pressure and Cardiovascular Disease in Older Patients With Diabetes: Retrospective Cohort Study
    Sangmo Hong, Jung Hwan Park, Kyungdo Han, Chang Beom Lee, Dong Sun Kim, Sung Hoon Yu
    Journal of the American Heart Association.2021;[Epub]     CrossRef
  • Prevalence of significant hepatic fibrosis using magnetic resonance elastography in a health check‐up clinic population
    Kyung A Kang, Dae Won Jun, Mi Sung Kim, Heon‐Ju Kwon, Mindie H. Nguyen
    Alimentary Pharmacology & Therapeutics.2020; 51(3): 388.     CrossRef
  • The Effects of Bariatric Surgery on Type 2 Diabetes in Asian Populations: a Meta-analysis of Randomized Controlled Trials
    Jin Hwa Kim, Jung-Soo Pyo, Won Jin Cho, Sang Yong Kim
    Obesity Surgery.2020; 30(3): 910.     CrossRef
  • Opposite Effects of Work-Related Physical Activity and Leisure-Time Physical Activity on the Risk of Diabetes in Korean Adults
    Hyun Sook Oh
    International Journal of Environmental Research and Public Health.2020; 17(16): 5812.     CrossRef
  • Middle-aged men with type 2 diabetes as potential candidates for pancreatic cancer screening: a 10-year nationwide population-based cohort study
    Dong-Hoe Koo, Kyung-Do Han, Hong Joo Kim, Cheol-Young Park
    Acta Diabetologica.2020; 57(2): 197.     CrossRef
  • Efficacy and safety of insulin glargine 300 U/mL versus insulin glargine 100 U/mL in Asia Pacific insulin‐naïve people with type 2 diabetes: The EDITION AP randomized controlled trial
    Linong Ji, Eun Seok Kang, XiaoLin Dong, Ling Li, GuoYue Yuan, Shuhua Shang, Elisabeth Niemoeller
    Diabetes, Obesity and Metabolism.2020; 22(4): 612.     CrossRef
  • Non-Exercise Based Estimation of Cardiorespiratory Fitness Mediates Associations between Comorbidities and Health-Related Quality of Life in Older Korean Adults with Diabetes
    Inhwan Lee, Shinuk Kim, Hyunsik Kang
    International Journal of Environmental Research and Public Health.2020; 17(4): 1164.     CrossRef
  • γ-Linolenic Acid versus α-Lipoic Acid for Treating Painful Diabetic Neuropathy in Adults: A 12-Week, Double-Placebo, Randomized, Noninferiority Trial
    Jong Chul Won, Hyuk-Sang Kwon, Seong-Su Moon, Sung Wan Chun, Chong Hwa Kim, Ie Byung Park, In Joo Kim, Jihyun Lee, Bong Yun Cha, Tae Sun Park
    Diabetes & Metabolism Journal.2020; 44(4): 542.     CrossRef
  • Circulating myokine levels in different stages of glucose intolerance
    Kahui Park, Chul Woo Ahn, Jong Suk Park, YuSik Kim, Ji Sun Nam
    Medicine.2020; 99(8): e19235.     CrossRef
  • Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
    Eun-Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Yang-Hyun Kim, Won-Young Lee
    Diabetes & Metabolism Journal.2020; 44(4): 592.     CrossRef
  • The sweet spot: fasting glucose, cardiovascular disease, and mortality in older adults with diabetes: a nationwide population-based study
    Ji Hyun Lee, Kyungdo Han, Ji Hye Huh
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Glucose-Lowering Effect of Home-Delivered Therapeutic Meals in Patients with Type 2 Diabetes
    Jong Han Choi, Se Hee Min, Kyeong Hye Lim, Uoon Jeong Shin, Min-Seon Kim
    The Journal of Korean Diabetes.2020; 21(1): 46.     CrossRef
  • Fasting Plasma Glucose Level Independently Predicts the Mortality of Patients with Coronavirus Disease 2019 Infection: A Multicenter, Retrospective Cohort Study
    Min Cheol Chang, Jong-Moon Hwang, Jae-Han Jeon, Sang Gyu Kwak, Donghwi Park, Jun Sung Moon
    Endocrinology and Metabolism.2020; 35(3): 595.     CrossRef
  • Gender differences in adverse event reports associated with antidiabetic drugs
    Kyung-In Joung, Gyu-Won Jung, Han-Heui Park, Hyesung Lee, So-Hee Park, Ju-Young Shin
    Scientific Reports.2020;[Epub]     CrossRef
  • Relative fat mass at baseline and its early change may be a predictor of incident nonalcoholic fatty liver disease
    Hwi Young Kim, Su Jung Baik, Hye Ah Lee, Byoung Kwon Lee, Hye Sun Lee, Tae Hun Kim, Kwon Yoo
    Scientific Reports.2020;[Epub]     CrossRef
  • Peripheral Arterial Stiffness Increases the Risk of Progression of Renal Disease in Type 2 Diabetic Patients
    Tae Hoon Lim, Seung Min Chung, Dong Sung Lee, Se Ra Choi, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Frontiers in Medicine.2020;[Epub]     CrossRef
  • Association of Urinary Polycyclic Aromatic Hydrocarbons and Diabetes in Korean Adults: Data from the Korean National Environmental Health Survey Cycle 2 (2012–2014)


    Yon Ju Nam, Shin-Hye Kim
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3993.     CrossRef
  • Present and Future of Digital Health in Diabetes and Metabolic Disease
    Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R. Steinhubl
    Diabetes & Metabolism Journal.2020; 44(6): 819.     CrossRef
  • Trends in the Incidence, Prevalence, and Mortality of End-Stage Kidney Disease in South Korea
    Min-Jeong Lee, Kyoung Hwa Ha, Dae Jung Kim, Inwhee Park
    Diabetes & Metabolism Journal.2020; 44(6): 933.     CrossRef
  • An evaluation of the impact of aggressive diabetes and hypertension management on chronic kidney diseases at the population level: a simulation analysis
    John Pastor Ansah, Shawn Tan Yi Wei, Tessa Lui Shi Min
    System Dynamics Review.2020; 36(4): 497.     CrossRef
  • Nationwide Trends in Pancreatitis and Pancreatic Cancer Risk Among Patients With Newly Diagnosed Type 2 Diabetes Receiving Dipeptidyl Peptidase 4 Inhibitors
    Minyoung Lee, Jiyu Sun, Minkyung Han, Yongin Cho, Ji-Yeon Lee, Chung Mo Nam, Eun Seok Kang
    Diabetes Care.2019; 42(11): 2057.     CrossRef
  • Clinical Efficacy and Parameters Affecting the Response to Dulaglutide Treatment in Patients with Type 2 Diabetes: A Retrospective, Real-World Data Study
    Jee Hee Yoo, Yun Kyung Cho, Jiwoo Lee, Hwi Seung Kim, Yu Mi Kang, Chang Hee Jung, Joong-Yeol Park, Woo Je Lee
    Diabetes Therapy.2019; 10(4): 1453.     CrossRef
  • Diabetes and the Risk of Infection: A National Cohort Study
    Eun Jin Kim, Kyoung Hwa Ha, Dae Jung Kim, Young Hwa Choi
    Diabetes & Metabolism Journal.2019; 43(6): 804.     CrossRef
  • Current Management of Type 2 Diabetes Mellitus in Primary Care Clinics in Korea
    Da Hea Seo, Shinae Kang, Yong-ho Lee, Jung Yoon Ha, Jong Suk Park, Byoung-Wan Lee, Eun Seok Kang, Chul Woo Ahn, Bong-Soo Cha
    Endocrinology and Metabolism.2019; 34(3): 282.     CrossRef
  • Effects of Blood Pressure and Glucose Levels on Visual Acuity
    Dae-Jong Kim
    Journal of Korean Ophthalmic Optics Society.2019; 24(2): 181.     CrossRef
  • An evaluation of the impact of aggressive hypertension, diabetes and smoking cessation management on CVD outcomes at the population level: a dynamic simulation analysis
    John Pastor Ansah, Ryan Leung Hoe Inn, Salman Ahmad
    BMC Public Health.2019;[Epub]     CrossRef
  • Retracted : Angelica polysaccharide alleviates TNF‐α‐induced MIN6 cell damage a through the up‐regulation microRNA‐143
    Yingying Zhao, Chuanqian Liu, Xueting Zhang, Xipeng Yan
    BioFactors.2019;[Epub]     CrossRef
  • Poor Control of Blood Glucose, Lifestyle, and Cardiometabolic Parameters in Younger Adult Patients with Type 2 Diabetes Mellitus
    Ga Eun Nam, Byoungduck Han, Chae Lin Joo, Seo Young Kang, Jisun Lim, Yang-Hyun Kim, Hye Soon Park
    Journal of Clinical Medicine.2019; 8(9): 1405.     CrossRef
  • Frailty and Disability in Diabetes
    Sol-Ji Yoon, Kwang-il Kim
    Annals of Geriatric Medicine and Research.2019; 23(4): 165.     CrossRef
  • A Case Report of Increased Blood Sugar in a Diabetic Patient Treated with Socheongryong-tang
    Youngji Kim, Juyeon Song, Seungcheol Hong, Song-won Park, Hakkyeom Kim, Lib Ahn, Dong-jun Choi
    The Journal of Internal Korean Medicine.2019; 40(5): 929.     CrossRef
  • A comparison of sotagliflozin therapy for diabetes mellitus between week 24 with week 52
    Nie Zhang, Zhi-Qun Gu, Yun-Long Ding, Liu Yang, Mao-Bing Chen, Qi-Han Zheng
    Medicine.2019; 98(47): e17976.     CrossRef
  • 2019 Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea
    Mee Kyoung Kim, Seung-Hyun Ko, Bo-Yeon Kim, Eun Seok Kang, Junghyun Noh, Soo-Kyung Kim, Seok-O Park, Kyu Yeon Hur, Suk Chon, Min Kyong Moon, Nan-Hee Kim, Sang Yong Kim, Sang Youl Rhee, Kang-Woo Lee, Jae Hyeon Kim, Eun-Jung Rhee, SungWan Chun, Sung Hoon Yu
    Diabetes & Metabolism Journal.2019; 43(4): 398.     CrossRef
  • Letter: Comparison of the Efficacy of Rosuvastatin Monotherapy 20 mg with Rosuvastatin 5 mg and Ezetimibe 10 mg Combination Therapy on Lipid Parameters in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2019;43:582–9)
    Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(6): 909.     CrossRef
  • The Need to Improve the Quality of Diabetes Care in Korea
    Seung Jin Han, Dae Jung Kim
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • Letter: Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data (Diabetes Metab J 2019;43:90–6)
    Bo Kyung Koo
    Diabetes & Metabolism Journal.2019; 43(2): 242.     CrossRef
  • Letter: Efficacy and Safety of Voglibose Plus Metformin in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Trial (Diabetes Metab J 2019;43;276-86)
    Hannah Seok, Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(4): 545.     CrossRef
  • Teneligliptin versus sitagliptin in Korean patients with type 2 diabetes inadequately controlled with metformin and glimepiride: A randomized, double‐blind, non‐inferiority trial
    Yonghyun Kim, Eun Seok Kang, Hak Chul Jang, Dong Jun Kim, Taekeun Oh, Eun Sook Kim, Nan‐Hee Kim, Kyung Mook Choi, Sung‐Rae Kim, JiYoung You, Se‐Jin Kim, Moon‐Kyu Lee
    Diabetes, Obesity and Metabolism.2019; 21(3): 631.     CrossRef
  • Nationwide trends in the epidemiology of diabetic foot complications and lower-extremity amputation over an 8-year period
    Cheng-Wei Lin, David G Armstrong, Chia-Hung Lin, Pi-Hua Liu, Shih-Yuan Hung, Shu-Ru Lee, Chung-Huei Huang, Yu-Yao Huang
    BMJ Open Diabetes Research & Care.2019; 7(1): e000795.     CrossRef
  • Fifty Years of Compassionate Care and Harmonious Collaboration of the Korean Diabetes Association: The 50th Anniversary of Korean Diabetes Association
    Jong Chul Won, Eun-Jung Rhee, Hyung Joon Yoo
    Diabetes & Metabolism Journal.2018; 42(6): 475.     CrossRef
Complications
Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease
Ji Hye Huh, Minyoung Lee, So Young Park, Jae Hyeon Kim, Byung-Wan Lee
Diabetes Metab J. 2018;42(3):215-223.   Published online May 2, 2018
DOI: https://doi.org/10.4093/dmj.2017.0091
  • 4,882 View
  • 56 Download
  • 10 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to investigate which glycemic parameters better reflect urinary N-acetyl-β-D-glucosaminidase (uNAG) abnormality, a marker for renal tubulopathy, in subjects with type 2 diabetes mellitus (T2DM) subjects with normoalbuminuria and a normal estimated glomerular filtration rate (eGFR).

Methods

We classified 1,061 participants with T2DM into two groups according to uNAG level—normal vs. high (>5.8 U/g creatinine)—and measured their biochemical parameters.

Results

Subjects with high uNAG level had significantly higher levels of fasting and stimulated glucose, glycated albumin (GA), and glycosylated hemoglobin (HbA1c) and lower levels of homeostasis model assessment of β-cell compared with subjects with normal uNAG level. Multiple linear regression analyses showed that uNAG was significantly associated with GA (standardized β coefficient [β]=0.213, P=0.016), but not with HbA1c (β=−0.137, P=0.096) or stimulated glucose (β=0.095, P=0.140) after adjusting confounding factors. In receiver operating characteristic analysis, the value of the area under the curve (AUC) for renal tubular injury of GA was significantly higher (AUC=0.634; 95% confidence interval [CI], 0.646 to 0.899) than those for HbA1c (AUC=0.598; 95% CI, 0.553 to 0.640), stimulated glucose (AUC=0.594; 95% CI, 0.552 to 0.636), or fasting glucose (AUC=0.558; 95% CI, 0.515 to 0.600). The optimal GA cutoff point for renal tubular damage was 17.55% (sensitivity 59%, specificity 62%).

Conclusion

GA is a more useful glycation index than HbA1c for reflecting renal tubulopathy in subjects with T2DM with normoalbuminuria and normal eGFR.

Citations

Citations to this article as recorded by  
  • Glucagon-Like Peptide 1 Receptor Agonist Improves Renal Tubular Damage in Mice with Diabetic Kidney Disease
    Ran Li, Dunmin She, Zhengqin Ye, Ping Fang, Guannan Zong, Yong Zhao, Kerong Hu, Liya Zhang, Sha Lei, Keqin Zhang, Ying Xue
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1331.     CrossRef
  • Use of glycated albumin for the identification of diabetes in subjects from northeast China
    Guo-Yan Li, Hao-Yu Li, Qiang Li
    World Journal of Diabetes.2021; 12(2): 149.     CrossRef
  • Diabetic Kidney Disease, Cardiovascular Disease and Non-Alcoholic Fatty Liver Disease: A New Triumvirate?
    Carolina M. Perdomo, Nuria Garcia-Fernandez, Javier Escalada
    Journal of Clinical Medicine.2021; 10(9): 2040.     CrossRef
  • Empagliflozin reduces high glucose-induced oxidative stress and miR-21-dependent TRAF3IP2 induction and RECK suppression, and inhibits human renal proximal tubular epithelial cell migration and epithelial-to-mesenchymal transition
    Nitin A. Das, Andrea J. Carpenter, Anthony Belenchia, Annayya R. Aroor, Makoto Noda, Ulrich Siebenlist, Bysani Chandrasekar, Vincent G. DeMarco
    Cellular Signalling.2020; 68: 109506.     CrossRef
  • Glycated Plasma Proteins as More Sensitive Markers for Glycemic Control in Type 1 Diabetes
    Lina Zhang, Qibin Zhang
    PROTEOMICS – Clinical Applications.2020;[Epub]     CrossRef
  • Glycated albumin and its variability: Clinical significance, research progress and overall review
    Dongjun Dai, Yifei Mo, Jian Zhou
    Obesity Medicine.2020; 19: 100256.     CrossRef
  • Hepatic fibrosis is associated with total proteinuria in Korean patients with type 2 diabetes
    Eugene Han, Yongin Cho, Kyung-won Kim, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-wan Lee
    Medicine.2020; 99(33): e21038.     CrossRef
  • Increasing waist circumference is associated with decreased levels of glycated albumin
    Yiting Xu, Xiaojing Ma, Yun Shen, Yufei Wang, Jian Zhou, Yuqian Bao
    Clinica Chimica Acta.2019; 495: 118.     CrossRef
  • Glucometabolic characteristics and higher vascular complication risk in Korean patients with type 2 diabetes with non-albumin proteinuria
    Yongin Cho, Yong-ho Lee, Eun Seok Kang, Bong-soo Cha, Byung-wan Lee
    Journal of Diabetes and its Complications.2019; 33(8): 585.     CrossRef
  • Association of urinary acidification function with the progression of diabetic kidney disease in patients with type 2 diabetes
    Huanhuan Zhu, Xi Liu, Chengning Zhang, Qing Li, Xiaofei An, Simeng Liu, Lin Wu, Bo Zhang, Yanggang Yuan, Changying Xing
    Journal of Diabetes and its Complications.2019; 33(11): 107419.     CrossRef
Clinical Care/Education
Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus
So Young Park, Sun Young Kim, Hye Mi Lee, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Kang-Hee Sim, Sang-Man Jin
Diabetes Metab J. 2017;41(2):99-112.   Published online March 3, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.2.99
  • 4,876 View
  • 47 Download
  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Despite the established benefits of diabetes camps for the continuing education of children with type 1 diabetes mellitus, little is known about the long-term metabolic benefits of diabetes camps for middle-aged and elderly people with type 2 diabetes mellitus (T2DM), especially in terms of glycosylated hemoglobin (HbA1c) variability.

Methods

The 1-year mean and variability of HbA1c before and after the diabetes camp was compared between the participants of the diabetes camp (n=57; median age 65 years [range, 50 to 86 years]; median diabetes duration 14 years [range, 1 to 48 years]). Additional case-control analysis compared the metabolic outcomes of the participants of the diabetes camp and their propensity score-matched controls who underwent conventional diabetes education (n=93).

Results

The levels of HbA1c during the first year after the diabetes camp were comparable to those of the matched controls (P=0.341). In an analysis of all participants of the diabetes camp, the 1-year mean±standard deviation (SD) of HbA1c decreased (P=0.010 and P=0.041) after the diabetes camp, whereas the adjusted SD and coefficient of variance (CV) of HbA1c did not decrease. The adjusted SD and CV significantly decreased after the diabetes camp in participants whose 1-year mean HbA1c was ≥6.5% before the diabetes camp (n=40) and those with a duration of diabetes less than 15 years (n=32).

Conclusion

The 1-year mean and SD of HbA1c decreased after the diabetes camp, with significant reduction in the adjusted SD and CV in those with higher baseline HbA1c and a shorter duration of diabetes.

Citations

Citations to this article as recorded by  
  • Camp-style lifestyle modification program (CAMP) for diabetes prevention among rural women with prior GDM: study protocol for a three-arm cluster hybrid type 2 randomized controlled trial
    Yao Chen, Qinyi Zhong, Wencong Lv, Qing Long, Man Ping Wang, Jyu-Lin Chen, James Allen Willey, Robin Whittemore, Jia Guo
    BMC Public Health.2024;[Epub]     CrossRef
  • Older adults’ experiences of being at a senior summer camp—A phenomenographic study
    Veronika Wallroth, Kjerstin Larsson, Agneta Schröder
    Qualitative Social Work.2022; 21(5): 956.     CrossRef
  • Pushing for miracles, pulling away from risk: An ethnographic analysis of the force dynamics at Senior Summer Camps in Sweden
    Gabriella Nilsson, Lisa Ekstam, Janicke Andersson
    Journal of Aging Studies.2018; 47: 96.     CrossRef
Obesity and Metabolic Syndrome
Serum Calcium and the Risk of Incident Metabolic Syndrome: A 4.3-Year Retrospective Longitudinal Study
Jong Ha Baek, Sang-Man Jin, Ji Cheol Bae, Jae Hwan Jee, Tae Yang Yu, Soo Kyoung Kim, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim
Diabetes Metab J. 2017;41(1):60-68.   Published online December 26, 2016
DOI: https://doi.org/10.4093/dmj.2017.41.1.60
  • 4,704 View
  • 40 Download
  • 10 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

An association between serum calcium level and risk of metabolic syndrome (MetS) has been suggested in cross-sectional studies. This study aimed to evaluate the association between baseline serum calcium level and risk of incident MetS in a longitudinal study.

Methods

We conducted a retrospective longitudinal study of 12,706 participants without MetS who participated in a health screening program, had normal range serum calcium level at baseline (mean age, 51 years), and were followed up for 4.3 years (18,925 person-years). The risk of developing MetS was analyzed according to the baseline serum calcium levels.

Results

A total of 3,448 incident cases (27.1%) of MetS developed during the follow-up period. The hazard ratio (HR) for incident MetS did not increase with increasing tertile of serum calcium level in an age- and sex-matched model (P for trend=0.915). The HRs (95% confidence interval [CI]) for incident MetS comparing the second and the third tertiles to the first tertile of baseline serum calcium level were 0.91 (95% CI, 0.84 to 0.99) and 0.85 (95% CI, 0.78 to 0.92) in a fully adjusted model, respectively (P for trend=0.001). A decreased risk of incident MetS in higher tertiles of serum calcium level was observed in subjects with central obesity and/or a metabolically unhealthy state at baseline.

Conclusion

There was no positive correlation between baseline serum calcium levels and incident risk of MetS in this longitudinal study. There was an association between higher serum calcium levels and decreased incident MetS in individuals with central obesity or two components of MetS at baseline.

Citations

Citations to this article as recorded by  
  • Independent associations of serum calcium with or without albumin adjustment and serum phosphorus with nonalcoholic fatty liver disease: results from NHANES 1999-2018
    Haolong Qi, Bin Wang, Lei Zhu
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association of serum calcium and metabolically healthy obese in US adults: a cross-sectional study
    Zhanbin Li, Zhenyu Yao, Qiaoran Liu
    Annals of Medicine.2024;[Epub]     CrossRef
  • Association of the serum calcium level with metabolic syndrome and its components among adults in Taiwan
    Jer-min Chen, Tai-yin Wu, Yi-fan Wu, Kuan-liang Kuo
    Archives of Endocrinology and Metabolism.2023;[Epub]     CrossRef
  • Elevated Chinese visceral adiposity index increases the risk of stroke in Chinese patients with metabolic syndrome
    Zeyu Liu, Qin Huang, Bi Deng, Minping Wei, Xianjing Feng, Fang Yu, Jie Feng, Yang Du, Jian Xia
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Metformin: Expanding the Scope of Application—Starting Earlier than Yesterday, Canceling Later
    Yulia A. Kononova, Nikolai P. Likhonosov, Alina Yu. Babenko
    International Journal of Molecular Sciences.2022; 23(4): 2363.     CrossRef
  • Metformin in prediabetes: key mechanisms for the prevention of diabetes and cardiometabolic risks
    A. Yu. Babenko
    Meditsinskiy sovet = Medical Council.2022; (10): 96.     CrossRef
  • Calcium and Phosphate Levels are Among Other Factors Associated with Metabolic Syndrome in Patients with Normal Weight


    Kamila Osadnik, Tadeusz Osadnik, Marcin Delijewski, Mateusz Lejawa, Martyna Fronczek, Rafał Reguła, Mariusz Gąsior, Natalia Pawlas
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 1281.     CrossRef
  • Association between selected trace elements and body mass index and waist circumference: A cross sectional study
    Mahnaz Zohal, Saeedeh Jam-Ashkezari, Nasim Namiranian, Amin Moosavi, Akram Ghadiri-Anari
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(2): 1293.     CrossRef
  • Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2019; 43(5): 727.     CrossRef
  • Genotype effects of glucokinase regulator on lipid profiles and glycemic status are modified by circulating calcium levels: results from the Korean Genome and Epidemiology Study
    Oh Yoen Kim, So-Young Kwak, Hyunjung Lim, Min-Jeong Shin
    Nutrition Research.2018; 60: 96.     CrossRef
Glycemic Variability: How Do We Measure It and Why Is It Important?
Sunghwan Suh, Jae Hyeon Kim
Diabetes Metab J. 2015;39(4):273-282.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.273
  • 20,810 View
  • 610 Download
  • 252 Web of Science
  • 264 Crossref
AbstractAbstract PDFPubReader   

Chronic hyperglycemia is the primary risk factor for the development of complications in diabetes mellitus (DM); however, it is believed that frequent or large glucose fluctuations may independently contribute to diabetes-related complications. Postprandial spikes in blood glucose, as well as hypoglycemic events, are blamed for increased cardiovascular events in DM. Glycemic variability (GV) includes both of these events; hence, minimizing GV can prevent future cardiovascular events. Correcting GV emerges as a target to be pursued in clinical practice to safely reduce the mean blood glucose and to determine its direct effects on vascular complications in diabetes. Modern diabetes management modalities, including glucagon-related peptide-1-based therapy, newer insulins, modern insulin pumps and bariatric surgery, significantly reduce GV. However, defining GV remains a challenge primarily due to the difficulty of measuring it and the lack of consensus regarding the optimal approach for its management. The purpose of this manuscript was not only to review the most recent evidence on GV but also to help readers better understand the available measurement options and how the various definitions relate differently to the development of diabetic complications.

Citations

Citations to this article as recorded by  
  • Evaluation of Effects of Continuous Glucose Monitoring on Physical Activity Habits and Blood Lipid Levels in Persons With Type 1 Diabetes Managed With Multiple Daily Insulin Injections: An Analysis Based on the GOLD Randomized Trial (GOLD 8)
    Thomas Nyström, Erik Schwarz, Sofia Dahlqvist, Magnus Wijkman, Magnus Ekelund, Helen Holmer, Jan Bolinder, Jarl Hellman, Henrik Imberg, Irl B. Hirsch, Marcus Lind
    Journal of Diabetes Science and Technology.2024; 18(1): 89.     CrossRef
  • Washed microbiota transplantation reduces glycemic variability in unstable diabetes
    Yangyang Li, Qing Liu, Lingyu Zhang, Jing Zou, Rongbo He, Ying Zhou, Chen Qian, Yuxiao Zhu, Rourou Chen, Ying Zhang, Pengpeng Cai, Miao Wang, Wei Shao, Minjun Ji, Hao Wu, Faming Zhang, Zejian Liu, Yu Liu
    Journal of Diabetes.2024;[Epub]     CrossRef
  • Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter?
    Yifei Mo, Jingyi Lu, Jian Zhou
    Journal of Diabetes Investigation.2024; 15(1): 5.     CrossRef
  • Statistical Packages and Algorithms for the Analysis of Continuous Glucose Monitoring Data: A Systematic Review
    Mikkel Thor Olsen, Carina Kirstine Klarskov, Arnold Matovu Dungu, Katrine Bagge Hansen, Ulrik Pedersen-Bjergaard, Peter Lommer Kristensen
    Journal of Diabetes Science and Technology.2024;[Epub]     CrossRef
  • Insulin pump treatment vs. multiple daily insulin injections in patients with poorly controlled Type 2 diabetes mellitus: a comparison of cardiovascular effects
    Saverio Tremamunno, Linda Tartaglione, Alessandro Telesca, Alessandro Rizzi, Tamara Felici, Francesco Mazzotta, Antonio De Vita, Emanuele Rizzo, Nello Cambise, Antonietta Belmusto, Dario Pitocco, Gaetano Antonio Lanza
    Endocrine.2024; 84(1): 128.     CrossRef
  • To What Extent Is HbA1c Associated with Glycemic Variability in Patients with Type 1 Diabetes? A Retrospective, Noninterventional Study
    Sandra Lazar, Ioana Ionita, Delia Reurean-Pintilei, Romulus Timar, Silvia Ana Luca, Bogdan Timar
    Journal of Clinical Medicine.2024; 13(2): 450.     CrossRef
  • Short-term glycemic variability in non-diabetic, non-obese dogs assessed by common glycemic variability indices
    Tobias Urbanschitz, Lukas Huber, Alexander Tichy, Iwan Anton Burgener, Florian Karl Zeugswetter
    Research in Veterinary Science.2024; 169: 105156.     CrossRef
  • Enhancement of Ambulatory Glucose Profile for Decision Assistance and Treatment Adjustments
    V. K. R. Rajeswari Satuluri, Vijayakumar Ponnusamy
    Diagnostics.2024; 14(4): 436.     CrossRef
  • Glycemic variability assessed using continuous glucose monitoring in individuals without diabetes and associations with cardiometabolic risk markers: A systematic review and meta-analysis
    Anna Hjort, David Iggman, Fredrik Rosqvist
    Clinical Nutrition.2024; 43(4): 915.     CrossRef
  • Oral metformin for type-2 diabetes mellitus treatment in a black-tufted marmoset (Callithrix penicillata)
    Janyni Duz, Lívia E. Surita, Letícia Machado, Priscila M.D. Costa, Bruna S. Machado, Stella F. Valle, Marcelo M. Alievi, Álan G. Pöppl
    Pesquisa Veterinária Brasileira.2024;[Epub]     CrossRef
  • A low-glucose eating pattern is associated with improvements in glycemic variability among women at risk for postmenopausal breast cancer: an exploratory analysis
    Michelle R. Jospe, Yue Liao, Erin D. Giles, Barry I. Hudson, Joyce M. Slingerland, Susan M. Schembre
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • Glycemic Variability as a Predictor of Graft Failure Following Infrainguinal Bypass for Peripheral Arterial Disease: A Retrospective Cohort Study
    Daniel J. Farndon, Philip C. Bennett, Ian Nunney, Ketan Dhatariya
    Annals of Vascular Surgery.2024; 105: 132.     CrossRef
  • Investigation of the hypoglycemic mechanism of the ShenQi compound formula through metabonomics and 16S rRNA sequencing
    Juan Gao, Xiujuan Zhou, Hong Gao, Guiping Xu, Chunguang Xie, Hongyan Xie
    Frontiers in Pharmacology.2024;[Epub]     CrossRef
  • Continuous glucose monitoring in pregnancy
    Ivana Novakovic, Jovana Todorovic, Stefan Dugalic, Maja Macura, Milos Milincic, Miroslava Gojnic
    Srpski arhiv za celokupno lekarstvo.2024; 152(3-4): 214.     CrossRef
  • Vitamin D Deficiency as a Factor Associated with Cognitive Impairment in Patients with Type 2 Diabetes Mellitus
    Valentina Tjandra Dewi, Anak Agung Ayu Putri Laksmidewi, Anak Agung Ayu Suryapraba, Wira Gotera, I Putu Eka Widyadharma, I Made Oka Adnyana
    Siriraj Medical Journal.2024; 76(1): 1.     CrossRef
  • Assessing glycemic variability in critically ill patients: A prospective cohort study comparing insulin infusion therapy with insulin sliding scale
    Alaa Almagthali, Samiah Alsohimi, Arwa Alkhalaf, Khalid Al Sulaiman, Ohoud Aljuhani
    Scientific Reports.2024;[Epub]     CrossRef
  • Heterogeneity of glycaemic phenotypes in type 1 diabetes
    Guy Fagherazzi, Gloria A. Aguayo, Lu Zhang, Hélène Hanaire, Sylvie Picard, Laura Sablone, Bruno Vergès, Naïma Hamamouche, Bruno Detournay, Michael Joubert, Brigitte Delemer, Isabelle Guilhem, Anne Vambergue, Pierre Gourdy, Samy Hadjadj, Fritz-Line Velayou
    Diabetologia.2024; 67(8): 1567.     CrossRef
  • Incretin therapy in feline diabetes mellitus – A review of the current state of research
    Nina Haller, Thomas A. Lutz
    Domestic Animal Endocrinology.2024; 89: 106869.     CrossRef
  • Yoga as an alternative to cycling in type 1 diabetes: A preliminary study of acute effects on glucose levels
    Antonio Cutruzzolà, Francesca Greco, Martina Parise, Concetta Irace, Agostino Gnasso, Gian Pietro Emerenziani
    Journal of Science and Medicine in Sport.2024; 27(10): 691.     CrossRef
  • Glycemic variability and diabetic cardiac autonomic neuropathy
    A.A. Serhiyenko, T.V. Tsaryk, Y.I. Pavlovskiy, V.A. Serhiyenko
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2024; 20(4): 225.     CrossRef
  • Short-term glucose prediction in Type 1 Diabetes
    Bogdan-Petru Butunoi, Cristina Stolojescu-Crisan, Viorel Negru
    Procedia Computer Science.2024; 238: 41.     CrossRef
  • Diabetes and Parkinson’s Disease: Understanding Shared Molecular Mechanisms
    Annekatrin König, Tiago F. Outeiro
    Journal of Parkinson's Disease.2024; 14(5): 917.     CrossRef
  • Low- versus High-Glycemic Index Mediterranean-Style Eating Patterns Improved Some Domains of Health-Related Quality of Life but Not Sleep in Adults at Risk for Type 2 Diabetes: The MEDGICarb Randomized Controlled Trial
    Anna Hjort, Robert E Bergia, Marilena Vitale, Giuseppina Costabile, Rosalba Giacco, Gabriele Riccardi, Wayne W Campbell, Rikard Landberg
    The Journal of Nutrition.2024; 154(9): 2743.     CrossRef
  • Oral Anaerobutyricum soehngenii augments glycemic control in type 2 diabetes
    Ilias Attaye, Julia J. Witjes, Annefleur M. Koopen, Eduard W.J. van der Vossen, Diona Zwirs, Koen Wortelboer, Didier Collard, Elles Marleen Kemper, Maaike Winkelmeijer, Jens J. Holst, Stanley L. Hazen, Folkert Kuipers, Erik S.G. Stroes, Albert K. Groen, W
    iScience.2024; 27(8): 110455.     CrossRef
  • From Stability to Variability: Classification of Healthy Individuals, Prediabetes, and Type 2 Diabetes Using Glycemic Variability Indices from Continuous Glucose Monitoring Data
    Simon Lebech Cichosz, Thomas Kronborg, Esben Laugesen, Stine Hangaard, Jesper Fleischer, Troels Krarup Hansen, Morten Hasselstrøm Jensen, Per Løgstrup Poulsen, Peter Vestergaard
    Diabetes Technology & Therapeutics.2024;[Epub]     CrossRef
  • Glycemic Variability and Disordered Eating Among Adolescents and Young Adults with Type 1 Diabetes: The Role of Disinhibited Eating
    Tamar Propper-Lewinsohn, Shlomit Shalitin, Michal Gillon-Keren, Michal Yackobovitch-Gavan, Alon Liberman, Moshe Phillip, Roni Elran-Barak
    Diabetes Technology & Therapeutics.2024;[Epub]     CrossRef
  • The role of Cardiotrophin-1 and echocardiography in early detection of subclinical diabetic cardiomyopathy in children and adolescents with type 1 diabetes mellitus
    Samah A. Hassanein, Mona M. Hassan, Mohamed Samir, Mahmoud O. Aboudeif, Mohamed S. Thabet, Mona Abdullatif, Dina Khedr
    Journal of Pediatric Endocrinology and Metabolism.2024;[Epub]     CrossRef
  • Improvement of blood glucose control and reduction of hypoglycemia, body weight, and C-reactive protein in type 1 diabetic patients treated with intensive insulin therapy with insulin analogs
    Sasa Radenkovic, Milena Velojic-Golubovic, Dragan Dimic, Danijela Radojkovic, Vojislav Ciric, Milica Pesic
    Vojnosanitetski pregled.2024; 81(8): 480.     CrossRef
  • Insulin Titration Guidelines for Patients With Type 1 Diabetes: It Is About Time!
    John Walsh, Ruth Roberts, Timothy S. Bailey, Lutz Heinemann
    Journal of Diabetes Science and Technology.2023; 17(4): 1066.     CrossRef
  • A randomised crossover trial: Exploring the dose–response effect of carbohydrate restriction on glycaemia in people with well‐controlled type 2 diabetes
    Ebaa Al‐Ozairi, Al Awadi Reem, Abeer El Samad, Etab Taghadom, Jumana Al‐Kandari, Muhammad Abdul‐Ghani, Nick Oliver, Brandon Whitcher, Nicola Guess
    Journal of Human Nutrition and Dietetics.2023; 36(1): 51.     CrossRef
  • Monitoring of continuous subcutaneous insulin infusion treatment in Portugal and its implications for diabetes management
    Ana Rita Figueiredo, Tânia Matos, Sónia do Vale
    Hormones.2023; 22(1): 87.     CrossRef
  • A composite measure of sleep health is associated with glycaemic target achievement in young adults with type 1 diabetes
    Stephanie Griggs, Grant Pignatiello, Ronald L. Hickman
    Journal of Sleep Research.2023;[Epub]     CrossRef
  • Comparison of Point-of-Care and Laboratory Glycated Hemoglobin A1c and Its Relationship to Time-in-Range and Glucose Variability: A Real-World Study
    Ayman Al Hayek, Wael M Alzahrani, Samia H Sobki, Abdulghani H Al-Saeed, Mohamed Al Dawish
    Cureus.2023;[Epub]     CrossRef
  • HIF-1α accumulation in response to transient hypoglycemia may worsen diabetic eye disease
    Chuanyu Guo, Monika Deshpande, Yueqi Niu, Isha Kachwala, Miguel Flores-Bellver, Haley Megarity, Taylor Nuse, Savalan Babapoor-Farrokhran, Michael Ramada, Jaron Sanchez, Neelay Inamdar, Thomas V. Johnson, Maria Valeria Canto-Soler, Silvia Montaner, Akrit S
    Cell Reports.2023; 42(1): 111976.     CrossRef
  • Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study
    Nicholas Berin Chan, Weizi Li, Theingi Aung, Eghosa Bazuaye, Rosa M Montero
    JMIR AI.2023; 2: e45450.     CrossRef
  • Continuous Glucose Monitoring in Dogs and Cats
    Francesca Del Baldo, Federico Fracassi
    Veterinary Clinics of North America: Small Animal Practice.2023; 53(3): 591.     CrossRef
  • Hypoglycemia and glycemic variability of people with type 1 diabetes with lower and higher physical activity loads in free-living conditions using continuous subcutaneous insulin infusion with predictive low-glucose suspend system
    Denise Montt-Blanchard, Raimundo Sánchez, Karen Dubois-Camacho, Jaime Leppe, María Teresa Onetto
    BMJ Open Diabetes Research & Care.2023; 11(2): e003082.     CrossRef
  • In vivo photoacoustic monitoring of vasoconstriction induced by acute hyperglycemia
    Joongho Ahn, Jin Woo Baik, Donggyu Kim, Karam Choi, Seunghyun Lee, Sung-Min Park, Jin Young Kim, Sung Hyun Nam, Chulhong Kim
    Photoacoustics.2023; 30: 100485.     CrossRef
  • Oscillating Glucose Induces the Increase in Inflammatory Stress through Ninjurin-1 Up-Regulation and Stimulation of Transport Proteins in Human Endothelial Cells
    Laura Toma, Gabriela M. Sanda, Camelia S. Stancu, Loredan S. Niculescu, Mina Raileanu, Anca V. Sima
    Biomolecules.2023; 13(4): 626.     CrossRef
  • The association between fasting plasma glucose variability and incident eGFR decline: evidence from two cohort studies
    Niloofar Deravi, Yasaman Sharifi, Fatemeh Koohi, Seyed Saeed Tamehri Zadeh, Soroush Masrouri, Fereidoun Azizi, Farzad Hadaegh
    BMC Public Health.2023;[Epub]     CrossRef
  • Insight into continuous glucose monitoring: from medical basics to commercialized devices
    Ayman Chmayssem, Małgorzata Nadolska, Emily Tubbs, Kamila Sadowska, Pankaj Vadgma, Isao Shitanda, Seiya Tsujimura, Youssef Lattach, Martin Peacock, Sophie Tingry, Stéphane Marinesco, Pascal Mailley, Sandrine Lablanche, Pierre Yves Benhamou, Abdelkader Zeb
    Microchimica Acta.2023;[Epub]     CrossRef
  • The efficacy and tolerability of intermittent prandial acarbose to reduce glucose spikes in healthy individuals
    A. Isman, A. Nyquist, M. Moel, X. Zhang, S. Zalzala
    Translational Medicine of Aging.2023; 7: 12.     CrossRef
  • Development of an artificial intelligence system to identify hypoglycaemia via ECG in adults with type 1 diabetes: protocol for data collection under controlled and free-living conditions
    Owain Cisuelo, Katy Stokes, Iyabosola B Oronti, Muhammad Salman Haleem, Thomas M Barber, Martin O Weickert, Leandro Pecchia, John Hattersley
    BMJ Open.2023; 13(4): e067899.     CrossRef
  • Self-Management and Glycemic Targets in Adult Haitian Immigrants With Type 2 Diabetes
    Cherlie Magny-Normilus, Robin Whittemore, Marcella Nunez-Smith, Christopher S. Lee, Jeffrey Schnipper, Deborah Wexler, Julie A. Sanders, Margaret Grey
    Nursing Research.2023; 72(3): 211.     CrossRef
  • The effect of traditional diet on glucose homoeostasis in carriers and non-carriers of a common TBC1D4 variant in Greenlandic Inuit: a randomised crossover study
    Jack Ivor Lewis, Mads Vendelbo Lind, Grith Møller, Torben Hansen, Hanne Pedersen, Marie Mathilde Bjerg Christensen, Jens Christian Laursen, Sara Nielsen, Charlotte B. Ottendahl, Christina V. Lytken Larsen, Ken D. Stark, Peter Bjerregaard, Marit E. Jørgens
    British Journal of Nutrition.2023; 130(11): 1871.     CrossRef
  • Screening for Impaired Glucose Homeostasis: A Novel Metric of Glycemic Control
    Jaycee M. Kaufman, Lennaert van Veen, Yan Fossat
    Mayo Clinic Proceedings: Digital Health.2023; 1(2): 189.     CrossRef
  • Impact of a Low-Carbohydrate Compared with Low-Fat Breakfast on Blood Glucose Control in Type 2 Diabetes: A Randomized Trial
    Barbara F. Oliveira, Courtney R. Chang, Kate Oetsch, Kaja Falkenhain, Kara Crampton, Matthew Stork, Malvinder Hoonjan, Thomas Elliott, Monique E. Francois, Jonathan P. Little
    The American Journal of Clinical Nutrition.2023; 118(1): 209.     CrossRef
  • Time in Range Estimation in Patients with Type 2 Diabetes is Improved by Incorporating Fasting and Postprandial Glucose Levels
    Rui Sun, Yanli Duan, Yumei Zhang, Lingge Feng, Bo Ding, Rengna Yan, Jianhua Ma, Xiaofei Su
    Diabetes Therapy.2023; 14(8): 1373.     CrossRef
  • Glucose variability: a new risk factor for cardiovascular disease
    Martina Belli, Alfonso Bellia, Domenico Sergi, Lucy Barone, Davide Lauro, Francesco Barillà
    Acta Diabetologica.2023; 60(10): 1291.     CrossRef
  • Effect of Repeated Bolus and Continuous Glucose Infusion on DNA Damage and Oxidative Stress Biomarkers in Healthy Male Volunteers
    Laura Bragagna, Christina Polak, Lisa Schütz, Lina Maqboul, Carmen Klammer, Roland Feldbauer, Agnes Draxler, Martin Clodi, Karl-Heinz Wagner
    International Journal of Molecular Sciences.2023; 24(17): 13608.     CrossRef
  • Association between inpatient glycemic variability and COVID-19 mortality: a prospective study
    Salma Ali El Chab Parolin, Rebecca Benicio Stocco, Julia do Carmo Kneipp Lopes, Marcos Roberto Curcio Pereira, Milena Massae Yamashita, Maria Eduarda Domareski Goulart, Henrique Demeneck, Marcia Olandoski, Larissa Hermann de Souza Nunes, Victor Keniche Mo
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Understanding temporal changes and seasonal variations in glycemic trends using wearable data
    Prajakta Belsare, Abigail Bartolome, Catherine Stanger, Temiloluwa Prioleau
    Science Advances.2023;[Epub]     CrossRef
  • Effects of mulberry twig alkaloids(Sangzhi alkaloids) and metformin on blood glucose fluctuations in combination with premixed insulin-treated patients with type 2 diabetes
    Ziyu Meng, Chengye Xu, Haoling Liu, Xinyuan Gao, Xinyu Li, Wenjian Lin, Xuefei Ma, Changwei Yang, Ming Hao, Kangqi Zhao, Yuxin Hu, Yi Wang, Hongyu Kuang
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Baricitinib and β-Cell Function in Patients with New-Onset Type 1 Diabetes
    Michaela Waibel, John M. Wentworth, Michelle So, Jennifer J. Couper, Fergus J. Cameron, Richard J. MacIsaac, Gabby Atlas, Alexandra Gorelik, Sara Litwak, Laura Sanz-Villanueva, Prerak Trivedi, Simi Ahmed, Francis J. Martin, Madeleine E. Doyle, Jessica E.
    New England Journal of Medicine.2023; 389(23): 2140.     CrossRef
  • Metabolic Stress of Red Blood Cells Induces Hemoglobin Glutathionylation
    P. I. Zaripov, Yu. D. Kuleshova, Yu. M. Poluektov, S. V. Sidorenko, O. K. Kvan, G. V. Maksimov, V. A. Mitkevich, A. A. Makarov, I. Yu. Petrushanko
    Molecular Biology.2023; 57(6): 1176.     CrossRef
  • How to Measure Glycemic Variability? A Literature Review
    Sandra Lazar, Ioana Ionita, Delia Reurean-Pintilei, Bogdan Timar
    Medicina.2023; 60(1): 61.     CrossRef
  • Metabolic Stress of Red Blood Cells Induces Hemoglobin Glutathionylation
    P. I. Zaripov, Iu. D. Kuleshova, Yu. M. Poluektov, S. V. Sidorenko, O. K. Kvan, G. V. Maksimov, V. A. Mitkevich, A. A. Makarov, I. Yu. Petrushanko
    Молекулярная биология.2023; 57(6): 1188.     CrossRef
  • Continuous Glucose Monitoring in Non-Insulin Type 2 Diabetes
    Jothydev Kesavadev, Banshi Saboo, Brij Mohan Makkar, Sanjay Agarwal, Manoj Chawla, Vysakh Chandran, Arun Shankar, Anjana Basanth
    International Journal of Diabetes and Technology.2023; 2(1): 16.     CrossRef
  • A New Analysis Tool for Continuous Glucose Monitor Data
    Evan Olawsky, Yuan Zhang, Lynn E Eberly, Erika S Helgeson, Lisa S Chow
    Journal of Diabetes Science and Technology.2022; 16(6): 1496.     CrossRef
  • Variations in Sleep Characteristics and Glucose Regulation in Young Adults With Type 1 Diabetes
    Stephanie Griggs, Margaret Grey, Kingman P Strohl, Sybil L Crawford, Seunghee Margevicius, Sangeeta R Kashyap, Chiang-Shan R Li, Sanjay Rajagopalan, Ronald L Hickman
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(3): e1085.     CrossRef
  • Influence of Fasting Plasma Glucose Targets on Glycemic Variability in Chinese Participants With Type 2 Diabetes: A Post Hoc Analysis of the FPG GOAL Trial (BEYOND III)
    Ling Li, Tao Yang, Yaoming Xue, Pengfei Ruan, Juan Du, Yunguang Li, Xia Zhang, Nan Cui, Wenying Yang
    Advances in Therapy.2022; 39(1): 421.     CrossRef
  • Diet and Physical Activity as Determinants of Continuously Measured Glucose Levels in Persons at High Risk of Type 2 Diabetes
    Su Hyun Park, Jiali Yao, Xin Hui Chua, Suresh Rama Chandran, Daphne S. L. Gardner, Chin Meng Khoo, Falk Müller-Riemenschneider, Clare Whitton, Rob M. van Dam
    Nutrients.2022; 14(2): 366.     CrossRef
  • Expert Panel Recommendations for Use of Standardized Glucose Reporting System Based on Standardized Glucometrics Plus Visual Ambulatory Glucose Profile (AGP) Data in Clinical Practice
    Selcuk Dagdelen, Oguzhan Deyneli, Nevin Dinccag, Hasan Ilkova, Zeynep Osar Siva, Ilhan Yetkin, Temel Yilmaz
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Influence of Glucose Fluctuation on Peripheral Nerve Damage in Streptozotocin-Induced Diabetic Rats
    Yu Ji Kim, Na Young Lee, Kyung Ae Lee, Tae Sun Park, Heung Yong Jin
    Diabetes & Metabolism Journal.2022; 46(1): 117.     CrossRef
  • Effects of Teneligliptin on HbA1c levels, Continuous Glucose Monitoring-Derived Time in Range and Glycemic Variability in Elderly Patients with T2DM (TEDDY Study)
    Ji Cheol Bae, Soo Heon Kwak, Hyun Jin Kim, Sang-Yong Kim, You-Cheol Hwang, Sunghwan Suh, Bok Jin Hyun, Ji Eun Cha, Jong Chul Won, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2022; 46(1): 81.     CrossRef
  • Glycemic Variability and Other Risk Factors for Diabetic Retinopathy
    Amruta S. Kulkarni, Karakkattu V. Kavitha, Nikita S. Sarkar, Vedavati B. Purandare, Savita Bhat, Shalbha Tiwari, Ambika G. Unnikrishnan
    Chronicle of Diabetes Research and Practice.2022; 1(1): 14.     CrossRef
  • Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
    Min Jeong Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2022; 46(1): 49.     CrossRef
  • Intraoperative Glycemic Variability and Mean Glucose are Predictors for Postoperative Delirium After Cardiac Surgery: A Retrospective Cohort Study
    Hoon Choi, Chul Soo Park, Jaewon Huh, Jungmin Koo, Joonpyo Jeon, Eunsung Kim, Sangmin Jung, Hwan Wook Kim, Ju Yong Lim, Wonjung Hwang
    Clinical Interventions in Aging.2022; Volume 17: 79.     CrossRef
  • The Impact and Clinical Prediction of Hyperglycemia During Parenteral Nutrition for Nondiabetic Patients After Gastrectomy for Gastric Cancer
    Ning Lan, Xiaohua Chen, Ying Lu, Yujie Zhou, Fei Kong, Yining Zhao, Fuzhi Jiao, Lin Zhang, Wenzhen Yuan
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • High glycemic variability: An underestimated determinant of stroke functional outcome following large vessel occlusion
    J. Baudu, E. Gerbaud, B. Catargi, M. Montaudon, M.-C. Beauvieux, S. Sagnier, S. Debruxelles, P. Renou, M. Poli, S. Olindo, M. Couture, G. Marnat, I. Sibon
    Revue Neurologique.2022; 178(7): 732.     CrossRef
  • Glycaemic Variability and Hyperglycaemia as Prognostic Markers of Major Cardiovascular Events in Diabetic Patients Hospitalised in Cardiology Intensive Care Unit for Acute Heart Failure
    Edouard Gerbaud, Ambroise Bouchard de La Poterie, Thomas Baudinet, Michel Montaudon, Marie-Christine Beauvieux, Anne-Iris Lemaître, Laura Cetran, Benjamin Seguy, François Picard, Fritz-Line Vélayoudom, Alexandre Ouattara, Rémi Kabore, Pierre Coste, Pierre
    Journal of Clinical Medicine.2022; 11(6): 1549.     CrossRef
  • The Emerging Role of Continuous Glucose Monitoring in the Management of Diabetic Peripheral Neuropathy: A Narrative Review
    Evanthia Gouveri, Nikolaos Papanas
    Diabetes Therapy.2022; 13(5): 931.     CrossRef
  • Objective Sleep-Wake Characteristics Are Associated With Diabetes Symptoms in Young Adults With Type 1 Diabetes
    Stephanie Griggs, Margaret Grey, Garrett I. Ash, Chiang-shan R. Li, Sybil L. Crawford, Ronald L. Hickman
    The Science of Diabetes Self-Management and Care.2022; 48(3): 149.     CrossRef
  • The Reproducibility and Usefulness of Estimated Average Glucose for Hyperglycemia Management during Health Checkups: A Retrospective Cross-Sectional Study
    Eun-Hee Nah, Seon Cho, Hyeran Park, Dongwon Noh, Eunjoo Kwon, Han-Ik Cho
    Healthcare.2022; 10(5): 824.     CrossRef
  • Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study
    Steven D Imrisek, Matthew Lee, Dan Goldner, Harpreet Nagra, Lindsey M Lavaysse, Jamillah Hoy-Rosas, Jeff Dachis, Lindsay E Sears
    JMIR Diabetes.2022; 7(2): e34624.     CrossRef
  • Glucose variability is associated with an adverse vascular profile but only in the presence of insulin resistance in individuals with type 1 diabetes: An observational study
    Noppadol Kietsiriroje, Sam M Pearson, Lauren L O’Mahoney, Daniel J West, Robert AS Ariëns, Ramzi A Ajjan, Matthew D Campbell
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211032.     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
  • Helpful or harmful? The impact of the ketogenic diet on eating disorder outcomes in type 1 diabetes mellitus
    Suzanne Schneider, Deborah L Biggerstaff, Thomas M Barber
    Expert Review of Endocrinology & Metabolism.2022; 17(4): 319.     CrossRef
  • Feline Comorbidities: Clinical perspective on diabetes mellitus and pancreatitis
    Panagiotis G Xenoulis, Federico Fracassi
    Journal of Feline Medicine and Surgery.2022; 24(7): 651.     CrossRef
  • Intralymphatic GAD-Alum (Diamyd®) Improves Glycemic Control in Type 1 Diabetes With HLA DR3-DQ2
    Christoph Nowak, Marcus Lind, Zdenek Sumnik, Terezie Pelikanova, Lía Nattero-Chavez, Elena Lundberg, Itxaso Rica, Maria A Martínez-Brocca, MariSol Ruiz de Adana, Jeanette Wahlberg, Ragnar Hanas, Cristina Hernandez, Maria Clemente-León, Ana Gómez-Gila, Mar
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(9): 2644.     CrossRef
  • Serum Glucose Variability Increases the Risk of Complications Following Aseptic Revision Hip and Knee Arthroplasty
    Graham S. Goh, Noam Shohat, Mohammad S. Abdelaal, Ilan Small, Terence Thomas, Kerri-Anne Ciesielka, Javad Parvizi
    Journal of Bone and Joint Surgery.2022; 104(18): 1614.     CrossRef
  • Glycemic Variability in Type 1 Diabetes Mellitus Pregnancies—Novel Parameters in Predicting Large-for-Gestational-Age Neonates: A Prospective Cohort Study
    Gloria Leksic, Maja Baretić, Lara Gudelj, Marija Radic, Iva Milicic, Marina Ivanišević, Dubravka Jurisic-Erzen
    Biomedicines.2022; 10(9): 2175.     CrossRef
  • Nomogram for prediction of diabetic retinopathy in patients with type 2 diabetes mellitus: A retrospective study
    Hongyan Yang, Miao Xia, Zanchao Liu, Yuwei Xing, Weili Zhao, Yang Li, Minzhen Wang, Zengyi Zhao
    Journal of Diabetes and its Complications.2022; 36(11): 108313.     CrossRef
  • Menopause is associated with postprandial metabolism, metabolic health and lifestyle: The ZOE PREDICT study
    Kate M. Bermingham, Inbar Linenberg, Wendy L. Hall, Kirstin Kadé, Paul W. Franks, Richard Davies, Jonathan Wolf, George Hadjigeorgiou, Francesco Asnicar, Nicola Segata, JoAnn E. Manson, Louise R. Newson, Linda M. Delahanty, Jose M. Ordovas, Andrew T. Chan
    eBioMedicine.2022; 85: 104303.     CrossRef
  • Continuous glucose monitoring for detection of glycemic variability, hypoglycemia, and hyperglycemia in women with eating disorders
    Nao Uotani, Shun’ichi Noma, Momoko Akamine, Takashi Miyawaki
    BioPsychoSocial Medicine.2022;[Epub]     CrossRef
  • Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults
    Zilu Liang
    Frontiers in Medical Technology.2022;[Epub]     CrossRef
  • Dynamic circadian fluctuations of glycemia in patients with type 2 diabetes mellitus
    Manuel Vásquez-Muñoz, Alexis Arce-Álvarez, Cristian Álvarez, Rodrigo Ramírez-Campillo, Fernando A. Crespo, Dayana Arias, Camila Salazar-Ardiles, Mikel Izquierdo, David C. Andrade
    Biological Research.2022;[Epub]     CrossRef
  • Menopause Is Associated With Postprandial Metabolism, Metabolic Health and Lifestyle: The ZOE PREDICT Study
    Kate Bermingham, Inbar Linenberg, Wendy L. Hall, Kirstin Kadé, Paul Franks, Richard Davies, Jonathan Wolf, Francesco Asnicar, Nicola Segata, JoAnn E. Manson, Louise Newson, Linda M. Delahanty, Jose Ordovas, Andrew T. Chan, Tim D. Spector, Ana Valdes, Sara
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Continuous Glucose Monitoring-Assisted Insulin Dose Titration in the Indian Outpatient Setting
    Sri Ramya Ganti, Kalyan Chakravarthy Gurazada
    International Journal of Diabetes and Technology.2022; 1(2): 75.     CrossRef
  • Effectiveness of blood glucose control protocol for open heart surgery patients
    Hye Jin Yoo, Eunyoung E. Suh, JaeLan Shim
    Journal of Advanced Nursing.2021; 77(1): 275.     CrossRef
  • Effect of Dapagliflozin as an Add-on Therapy to Insulin on the Glycemic Variability in Subjects with Type 2 Diabetes Mellitus (DIVE): A Multicenter, Placebo-Controlled, Double-Blind, Randomized Study
    Seung-Hwan Lee, Kyung-Wan Min, Byung-Wan Lee, In-Kyung Jeong, Soon-Jib Yoo, Hyuk-Sang Kwon, Yoon-Hee Choi, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2021; 45(3): 339.     CrossRef
  • Comparison of Glycemic Excursion Using Flash Continuous Glucose Monitoring in Patients with Type 2 Diabetes Mellitus Before and After Treatment with Voglibose
    Selvam Kasthuri, Subramani Poongothai, Ranjit Mohan Anjana, Jayvel Selvakumar, Subramaniam Muthukumar, Sengottuevel Kayalvizhi, Syed Tariq, Evangelin Honey, Prasanna Kumar Gupta, Ulagamathesan Venkatesan, Viswanathan Mohan
    Diabetes Technology & Therapeutics.2021; 23(3): 213.     CrossRef
  • Comparison of CGM-Derived Measures of Glycemic Variability Between Pancreatogenic Diabetes and Type 2 Diabetes Mellitus
    Channabasappa Shivaprasad, Yalamanchi Aiswarya, Shah Kejal, Atluri Sridevi, Biswas Anupam, Barure Ramdas, Kolla Gautham, Premchander Aarudhra
    Journal of Diabetes Science and Technology.2021; 15(1): 134.     CrossRef
  • Spousal Influence on Diabetes Self-care: Moderating Effects of Distress and Relationship Quality on Glycemic Control
    Emily C Soriano, James M Lenhard, Jeffrey S Gonzalez, Howard Tennen, Sy-Miin Chow, Amy K Otto, Christine Perndorfer, Biing-Jiun Shen, Scott D Siegel, Jean-Philippe Laurenceau
    Annals of Behavioral Medicine.2021; 55(2): 123.     CrossRef
  • Effects of Structured Aerobic Exercise on Selected Clinical Profiles of Patients With Type 2 Diabetes Mellitus
    Nmachukwu Ifeoma Ekechukwu, Stella Udumma Anwara, Ukamaka Gloria Mgbeojedo, Olive U. Chijioke, Okechukwu Steven Onwukwe, Uchechukwu Anthonia Ezugwu, Echezona Nelson Dominic Ekechukwu, Ijeoma L. Okoronkwo
    International Journal of Medicine and Health Development.2021; 26(1): 17.     CrossRef
  • New Innovation: Use of Flash Glucose Monitoring for Evaluating Glycaemic Variability, Patient Satisfaction and Clinical Utility in Pregnant Women with Diabetes
    Saxena Pikee, Kumari Khushbu, Prakash Anupam, Puri Manju, Jain Sachin
    The Journal of Obstetrics and Gynecology of India.2021; 71(2): 136.     CrossRef
  • Comprehensive elaboration of glycemic variability in diabetic macrovascular and microvascular complications
    Bao Sun, Zhiying Luo, Jiecan Zhou
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • The Added and Interpretative Value of CGM-Derived Parameters in Type 1 Diabetes Depends on the Level of Glycemic Control
    Simon Helleputte, Tine De Backer, Patrick Calders, Bart Pauwels, Samyah Shadid, Bruno Lapauw
    Endocrine Practice.2021; 27(1): 44.     CrossRef
  • Short-term glycemic variability and hemorrhagic transformation after successful endovascular thrombectomy
    Tae Jung Kim, Ji Sung Lee, Soo-Hyun Park, Sang-Bae Ko
    Translational Stroke Research.2021; 12(6): 968.     CrossRef
  • The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals
    Havva Sezer, Dilek Yazici, Sidar Copur, Tuncay Dagel, Oguzhan Deyneli, Mehmet Kanbay
    Blood Pressure Monitoring.2021; 26(2): 102.     CrossRef
  • Current concepts and clinical importance of glycemic variability
    Ramya Ravi, V Balasubramaniam, Gowthamarajan Kuppusamy, Sivasankaran Ponnusankar
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2021; 15(2): 627.     CrossRef
  • Oscillatory pattern of glycemic control in patients with diabetes mellitus
    Manuel Vasquez-Muñoz, Alexis Arce-Alvarez, Magdalena von Igel, Carlos Veliz, Gonzalo Ruiz-Esquide, Rodrigo Ramirez-Campillo, Cristian Alvarez, Robinson Ramirez-Velez, Fernando A. Crespo, Mikel Izquierdo, Rodrigo Del Rio, David C. Andrade
    Scientific Reports.2021;[Epub]     CrossRef
  • Comparing the Efficacies of Telemedicine and Standard Prenatal Care on Blood Glucose Control in Women With Gestational Diabetes Mellitus: Randomized Controlled Trial
    Ying Tian, Suhan Zhang, Feiling Huang, Liangkun Ma
    JMIR mHealth and uHealth.2021; 9(5): e22881.     CrossRef
  • Interpreting blood GLUcose data with R package iglu
    Steven Broll, Jacek Urbanek, David Buchanan, Elizabeth Chun, John Muschelli, Naresh M. Punjabi, Irina Gaynanova, Laura Pyle
    PLOS ONE.2021; 16(4): e0248560.     CrossRef
  • Weight fluctuation and risk of hepatocellular carcinoma: a nationwide population-based 8-million-subject study
    Young Chang, Jeong-Ju Yoo, Eun Ju Cho, Kyungdo Han, Dahye Kim, Bo-Yeon Kim, Goh Eun Chung, Yuri Cho, Dong Wook Shin, Su Jong Yu
    Hepatology International.2021; 15(2): 482.     CrossRef
  • Glucose variability predicts 6-month mortality in patients hospitalized with acute heart failure
    Filipe M. Cunha, Catarina Cidade-Rodrigues, Catarina Elias, Diana Oliveira, Paulo Bettencourt, Patrícia Lourenço
    Internal and Emergency Medicine.2021; 16(8): 2121.     CrossRef
  • Glucose Variability and Risk of Hepatocellular Carcinoma in Patients with Diabetes: A Nationwide Population-Based Study
    Jeong-Ju Yoo, Eun Ju Cho, Kyungdo Han, Soo Seong Heo, Bo-Yeon Kim, Dong Wook Shin, Su Jong Yu
    Cancer Epidemiology, Biomarkers & Prevention.2021; 30(5): 974.     CrossRef
  • Sleep-wake characteristics, daytime sleepiness, and glycemia in young adults with type 1 diabetes
    Stephanie Griggs, Ronald L. Hickman, Kingman P. Strohl, Nancy S. Redeker, Sybil L. Crawford, Margaret Grey
    Journal of Clinical Sleep Medicine.2021; 17(9): 1865.     CrossRef
  • Glycemic Variability in Type 1 Diabetes Mellitus Saudis Using Ambulatory Glucose Profile
    Bader Alzahrani, Saad Alzahrani, Mussa H Almalki, Souha S Elabd, Shawana Abdulhamid Khan, Badurudeen Buhary, Naji Aljuhani, Anwar A Jammah
    Clinical Medicine Insights: Endocrinology and Diabetes.2021; 14: 117955142110137.     CrossRef
  • Effect of glucose concentration and culture substrate on HUVECs viability in in vitro cultures: A literature review and own results
    Anna Ciechanowska, Ilona Gora, Stanislawa Sabalinska, Piotr Foltynski, Piotr Ladyzynski
    Biocybernetics and Biomedical Engineering.2021; 41(4): 1390.     CrossRef
  • Probabilistic Model of Transition between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach
    Lyvia Biagi, Arthur Bertachi, Marga Giménez, Ignacio Conget, Jorge Bondia, Josep Antoni Martín-Fernández, Josep Vehí
    Sensors.2021; 21(11): 3593.     CrossRef
  • Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches
    Brinnae Bent, Peter J. Cho, Maria Henriquez, April Wittmann, Connie Thacker, Mark Feinglos, Matthew J. Crowley, Jessilyn P. Dunn
    npj Digital Medicine.2021;[Epub]     CrossRef
  • Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept
    Brinnae Bent, Peter J Cho, April Wittmann, Connie Thacker, Srikanth Muppidi, Michael Snyder, Matthew J Crowley, Mark Feinglos, Jessilyn P Dunn
    BMJ Open Diabetes Research & Care.2021; 9(1): e002027.     CrossRef
  • Circadian characteristics of the rest-activity rhythm, executive function, and glucose fluctuations in young adults with type 1 diabetes
    Stephanie Griggs, Kingman P. Strohl, Margaret Grey, Eric Barbato, Seunghee Margevicius, Ronald L. Hickman
    Chronobiology International.2021; 38(10): 1477.     CrossRef
  • Glucose forecasting using genetic programming and latent glucose variability features
    Sergio Contador, J. Manuel Velasco, Oscar Garnica, J. Ignacio Hidalgo
    Applied Soft Computing.2021; 110: 107609.     CrossRef
  • On the efficacy of behavior change techniques in mHealth for self-management of diabetes: A meta-analysis
    Omar El-Gayar, Martinson Ofori, Nevine Nawar
    Journal of Biomedical Informatics.2021; 119: 103839.     CrossRef
  • Daytime Glycemic Variability and Frailty in Older Patients with Diabetes: a Pilot Study Using Continuous Glucose Monitoring
    Seung Min Chung, Yun Hee Lee, Chang Oh Kim, Ji Yeon Lee, Sang-Man Jin, Seung-Hyun Yoo, Jun Sung Moon, Kwang Joon Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • Glucose Patterns in Very Old Adults: A Pilot Study in a Community-Based Population
    Elizabeth Selvin, Dan Wang, Olive Tang, Melissa Minotti, Justin B. Echouffo-Tcheugui, Josef Coresh
    Diabetes Technology & Therapeutics.2021;[Epub]     CrossRef
  • Uma Visão Bioquímica Dos Exames Laboratoriais Prévios Para Iniciantes Na Prática De Corrida De Forma Recreativa E A Importância De Realizá-Los
    João Henrique Pereira De Oliveira
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2021; : 81.     CrossRef
  • Retrospective study of glycemic variability, BMI, and blood pressure in diabetes patients in the Digital Twin Precision Treatment Program
    Paramesh Shamanna, Mala Dharmalingam, Rakesh Sahay, Jahangir Mohammed, Maluk Mohamed, Terrence Poon, Nathan Kleinman, Mohamed Thajudeen
    Scientific Reports.2021;[Epub]     CrossRef
  • The role of T‐cell immunity in COVID‐19 severity amongst people living with type II diabetes
    Zhen Wei Marcus Tong, Emma Grant, Stephanie Gras, Melanie Wu, Corey Smith, Helen L. Barrett, Linda A. Gallo, Kirsty R. Short
    The FEBS Journal.2021; 288(17): 5042.     CrossRef
  • The Role of Glycemic Variability in Cardiovascular Disorders
    Valentina Alfieri, Veronika A. Myasoedova, Maria Cristina Vinci, Maurizio Rondinelli, Paola Songia, Ilaria Massaiu, Nicola Cosentino, Donato Moschetta, Vincenza Valerio, Michele Ciccarelli, Giancarlo Marenzi, Stefano Genovese, Paolo Poggio
    International Journal of Molecular Sciences.2021; 22(16): 8393.     CrossRef
  • Impact of tacrolimus variability on pediatric heart transplant outcomes
    Megan Sirota, Caroline Heyrend, Zhining Ou, Susan Masotti, Eric Griffiths, Kimberly Molina
    Pediatric Transplantation.2021;[Epub]     CrossRef
  • Prevalence of glycemic variability and factors associated with the glycemic arrays among end-stage kidney disease patients on chronic hemodialysis
    Abdul Hanif Khan Yusof Khan, Nor Fadhlina Zakaria, Muhammad Adil Zainal Abidin, Nor Azmi Kamaruddin
    Medicine.2021; 100(30): e26729.     CrossRef
  • Efficacy of Ketogenic Diets on Type 2 Diabetes: a Systematic Review
    Delphine Tinguely, Justine Gross, Christophe Kosinski
    Current Diabetes Reports.2021;[Epub]     CrossRef
  • Glucose variability and low bone turnover in people with type 2 diabetes
    Jakob Starup-Linde, Simon Lykkeboe, Aase Handberg, Peter Vestergaard, Pernille Høyem, Jesper Fleischer, Troels Krarup Hansen, Per Løgstrup Poulsen, Esben Laugesen
    Bone.2021; 153: 116159.     CrossRef
  • Use of continuous glucose monitoring in obesity research: A scoping review
    Elizabeth Hegedus, Sarah-Jeanne Salvy, Choo Phei Wee, Monica Naguib, Jennifer K. Raymond, D. Steven Fox, Alaina P. Vidmar
    Obesity Research & Clinical Practice.2021; 15(5): 431.     CrossRef
  • The Association Between Mean Glycated Haemoglobin or Glycaemic Variability and the Development of Retinopathy in People with Diabetes: A Retrospective Observational Cohort Study
    Ketan Dhatariya, Alexander Humberstone, Abul Hasnat, Rebecca Wright, Morgan Lujan, Ian Nunney
    Diabetes Therapy.2021; 12(10): 2755.     CrossRef
  • Improved Glycemic Control and Variability: Application of Healthy Ingredients in Asian Staples
    Stefan Gerardus Camps, Bhupinder Kaur, Joseph Lim, Yi Ting Loo, Eunice Pang, Terence Ng, Christiani Jeyakumar Henry
    Nutrients.2021; 13(9): 3102.     CrossRef
  • Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis
    Heeyoung Lee, Se-eun Park, Eun-Young Kim
    Journal of Clinical Medicine.2021; 10(18): 4078.     CrossRef
  • Glycemic variability of acute stroke patients and clinical outcomes: a continuous glucose monitoring study
    Lina Palaiodimou, Vasileios-Arsenios Lioutas, Vaia Lambadiari, Aikaterini Theodorou, Marios Themistocleous, Laura Aponte, Georgia Papagiannopoulou, Aikaterini Foska, Eleni Bakola, Rodrigo Quispe, Laura Mendez, Magdy Selim, Vera Novak, Elias Tzavellas, Pan
    Therapeutic Advances in Neurological Disorders.2021; 14: 175628642110458.     CrossRef
  • Glycemic variability: Importance, relationship with physical activity, and the influence of exercise
    Joshua R. Sparks, Erin E. Kishman, Mark A. Sarzynski, J. Mark Davis, Peter W. Grandjean, J. Larry Durstine, Xuewen Wang
    Sports Medicine and Health Science.2021; 3(4): 183.     CrossRef
  • The Effect of Physical Activity on Glycemic Variability in Patients With Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Xingyun Zhu, Lina Zhao, Jing Chen, Chu Lin, Fang Lv, Suiyuan Hu, Xiaoling Cai, Li Zhang, Linong Ji
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data
    Brinnae Bent, Maria Henriquez, Jessilyn Dunn
    IEEE Open Journal of Engineering in Medicine and Biology.2021; 2: 263.     CrossRef
  • In-Hospital Mortality and Glycemic Control in Patients with Hospital Hyperglycemia
    María Paula Russo, Santiago Nicolas Marquez Fosser, Cristina María Elizondo, Diego Hernán Giunta, Nora Angélica Fuentes, María Florencia Grande-Ratti
    Review of Diabetic Studies.2021; 17(2): 50.     CrossRef
  • Perspectives of glycemic variability in diabetic neuropathy: a comprehensive review
    Xiaochun Zhang, Xue Yang, Bao Sun, Chunsheng Zhu
    Communications Biology.2021;[Epub]     CrossRef
  • Association Between Intra-Hospital Uncontrolled Glycemia and Health Outcomes in Patients with Diabetes: A Systematic Review of Observational Studies
    Renata Cunha Carvalho, Fernanda Ayache Nishi, Tatiane Bomfim Ribeiro, Gustavo Galvão França, Patricia Melo Aguiar
    Current Diabetes Reviews.2021; 17(3): 304.     CrossRef
  • Glycaemic Variability Heavily Affects Outcomes of Diabetic Patients Hospitalized for Acute Heart Failure
    Edouard Gerbaud, Ambroise Bouchard de la Poterie, Thomas Baudinet, Michel Montaudon, Marie-Christine Beauvieux, Anne-Iris Lemaître, Laura Cetran, Benjamin Seguy, Francois Picard, Fritz-Line Vélayoudom, Alexandre Ouattara, Rémi Kabore, Pierre Coste, Pierre
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Understanding Glycemic Variability
    Vedavati Bharat Purandare, Charan Bale, Arjun Kakrani, Ambika Gopalakrishnan Unnikrishnan
    Journal of Diabetology.2021; 12(3): 275.     CrossRef
  • GLU: a software package for analysing continuously measured glucose levels in epidemiology
    Louise A C Millard, Nashita Patel, Kate Tilling, Melanie Lewcock, Peter A Flach, Debbie A Lawlor
    International Journal of Epidemiology.2020; 49(3): 744.     CrossRef
  • Glycemic variability and subsequent malignancies among the population without diabetes
    Daiki Kobayashi, Hiroshi Noto, Osamu Takahashi, Takuro Shimbo
    Diabetes Research and Clinical Practice.2020; 159: 107987.     CrossRef
  • The relationship between glycaemic variability and cardiovascular autonomic dysfunction in patients with type 1 diabetes: A systematic review
    Simon Helleputte, Tine De Backer, Bruno Lapauw, Samyah Shadid, Bert Celie, Birgit Van Eetvelde, Karsten Vanden Wyngaert, Patrick Calders
    Diabetes/Metabolism Research and Reviews.2020;[Epub]     CrossRef
  • Actualización sobre hiperglucemia posprandial: fisiopatología, prevalencia, consecuencias e implicaciones para el tratamiento de la diabetes
    P.J. Pinés Corrales, V. Bellido Castañeda, F.J. Ampudia-Blasco
    Revista Clínica Española.2020; 220(1): 57.     CrossRef
  • Sleep, self‐management, neurocognitive function, and glycemia in emerging adults with Type 1 diabetes mellitus: A research protocol
    Stephanie Griggs, Nancy S. Redeker, Sybil L. Crawford, Margaret Grey
    Research in Nursing & Health.2020; 43(4): 317.     CrossRef
  • GLP 1 receptor agonists, glycemic variability, oxidative stress and acute coronary syndrome
    Maria Isabel del Olmo García, Juan Francisco Merino-Torres
    Medical Hypotheses.2020; 136: 109504.     CrossRef
  • Risk factors for hospitalization in youth with type 1 diabetes: Development and validation of a multivariable prediction model
    Juan D Mejia‐Otero, Soumya Adhikari, Perrin C White
    Pediatric Diabetes.2020; 21(7): 1268.     CrossRef
  • Acute and Chronic Effects of Exercise on Continuous Glucose Monitoring Outcomes in Type 2 Diabetes: A Meta-Analysis
    Matthew Munan, Camila L. P. Oliveira, Alexis Marcotte-Chénard, Jordan L. Rees, Carla M. Prado, Eléonor Riesco, Normand G. Boulé
    Frontiers in Endocrinology.2020;[Epub]     CrossRef
  • Age‐specific associations of glycated haemoglobin variability with cardiovascular disease and mortality in patients with type 2 diabetes mellitus: A 10‐ year cohort study
    Eric Yuk Fai Wan, Esther Yee Tak Yu, Weng Yee Chin, Florence Ting Yan Ng, Shu Ming Cheryl Chia, Ian Chi Kei Wong, Esther Wai Yin Chan, Cindy Lo Kuen Lam
    Diabetes, Obesity and Metabolism.2020; 22(8): 1316.     CrossRef
  • Comparison of Glycemic Variability Indices: Blood Glucose, Risk Index, and Coefficient of Variation in Predicting Adverse Outcomes for Patients Undergoing Cardiac Surgery
    Valluvan Rangasamy, Xinling Xu, Ammu Thampi Susheela, Balachundhar Subramaniam
    Journal of Cardiothoracic and Vascular Anesthesia.2020; 34(7): 1794.     CrossRef
  • Low Blood Glucose Index and Hypoglycaemia Risk: Insulin Glargine 300 U/mL Versus Insulin Glargine 100 U/mL in Type 2 Diabetes
    Boris Kovatchev, Zhaoling Meng, Anna M. G. Cali, Riccardo Perfetti, Marc D. Breton
    Diabetes Therapy.2020; 11(6): 1293.     CrossRef
  • Non-Dietary Factors Associated with Glycemic Status among Adults Diagnosed with Type 2 Diabetes Mellitus in Malawi
    Getrude Mphwanthe, Dave Weatherspoon, Alexander Kalimbira, Lorraine Weatherspoon
    Social Work in Public Health.2020; 35(6): 380.     CrossRef
  • Glycaemic profile in the second and third trimesters of normal pregnancy compared to non-pregnant adult females
    Aruna Nigam, Neha Varun, Sumedha Sharma, YP Munjal, Anupam Prakash
    Obstetric Medicine.2020; 13(1): 30.     CrossRef
  • The Effect of Acarbose on Glycemic Variability in Patients with Type 2 Diabetes Mellitus Using Premixed Insulin Compared to Metformin (AIM): An Open-Label Randomized Trial
    Fei Gao, Xiaojing Ma, Jiahui Peng, Jingyi Lu, Wei Lu, Wei Zhu, Yuqian Bao, Robert A. Vigersky, Weiping Jia, Jian Zhou
    Diabetes Technology & Therapeutics.2020; 22(4): 256.     CrossRef
  • Circulating Wnt1-inducible signaling pathway protein-1 (WISP-1/CCN4) is a novel biomarker of adiposity in subjects with type 2 diabetes
    Vadim V. Klimontov, Dinara M. Bulumbaeva, Olga N. Fazullina, Alexander P. Lykov, Natalia P. Bgatova, Nikolay B. Orlov, Vladimir I. Konenkov, Andreas F.H. Pfeiffer, Olga Pivovarova-Ramich, Natalia Rudovich
    Journal of Cell Communication and Signaling.2020; 14(1): 101.     CrossRef
  • Glycemic variability in newly diagnosed diabetic cats treated with the glucagon‐like peptide‐1 analogue exenatide extended release
    Anna L. Krämer, Angelina Riederer, Federico Fracassi, Felicitas S. Boretti, Nadja S. Sieber‐Ruckstuhl, Thomas A. Lutz, Barbara Contiero, Eric Zini, Claudia E. Reusch
    Journal of Veterinary Internal Medicine.2020; 34(6): 2287.     CrossRef
  • Glycemic variability in type 2 diabetes mellitus and acute coronary syndrome: liraglutide compared with insulin glargine: a pilot study
    Maria Isabel del Olmo-García, David Hervás Marín, Jana Caudet Esteban, Antonio Ballesteros Martin-Portugués, Alba Cerveró Rubio, Miguel Angel Arnau Vives, Ana Catalá Gregori, Maite Penalba Martínez, Juan Francisco Merino-Torres
    Journal of International Medical Research.2020; 48(6): 030006052092606.     CrossRef
  • Capturing glucose variability in patients with diabetes
    David Laight
    Prescriber.2020; 31(9): 20.     CrossRef
  • Diabetes of the Exocrine Pancreas Related to Hereditary Pancreatitis, an Update
    Gabriel Xavier Ramalho, Marcio Garrison Dytz
    Current Diabetes Reports.2020;[Epub]     CrossRef
  • Robust estimation of the effect of an exposure on the change in a continuous outcome
    Yilin Ning, Nathalie C. Støer, Peh Joo Ho, Shih Ling Kao, Kee Yuan Ngiam, Eric Yin Hao Khoo, Soo Chin Lee, E-Shyong Tai, Mikael Hartman, Marie Reilly, Chuen Seng Tan
    BMC Medical Research Methodology.2020;[Epub]     CrossRef
  • Comparison of the effects of gemigliptin and dapagliflozin on glycaemic variability in type 2 diabetes: A randomized, open‐label, active‐controlled, 12‐week study (STABLE II study)
    Soo Heon Kwak, You‐Cheol Hwang, Jong Chul Won, Ji Cheol Bae, Hyun Jin Kim, Sunghwan Suh, Eun Young Lee, Subin Lee, Sang‐Yong Kim, Jae Hyeon Kim
    Diabetes, Obesity and Metabolism.2020; 22(2): 173.     CrossRef
  • Acarbose-metformin is more effective in glycemic variability control than repaglinide-metformin in T2DM patients inadequately controlled with metformin: a retrospective cohort study
    Guoli Du, Wanrun Xie, Yinxia Su, Yao Ma, Xiaoming Gao, Sheng Jiang, Huazheng Liang
    PeerJ.2020; 8: e9905.     CrossRef
  • Association between sleep disturbances, fear of hypoglycemia and psychological well-being in adults with type 1 diabetes mellitus, data from cross-sectional VARDIA study
    Valentine Suteau, Pierre-Jean Saulnier, Matthieu Wargny, Linda Gonder-Frederick, Elise Gand, Lucy Chaillous, Ingrid Allix, Séverine Dubois, Fabrice Bonnet, Anne-Marie Leguerrier, Gerard Fradet, Ingrid Delcourt Crespin, Véronique Kerlan, Didier Gouet, Caro
    Diabetes Research and Clinical Practice.2020; 160: 107988.     CrossRef
  • Update on postprandial hyperglycemia: The pathophysiology, prevalence, consequences and implications of treating diabetes
    P.J. Pinés Corrales, V. Bellido Castañeda, F.J. Ampudia-Blasco
    Revista Clínica Española (English Edition).2020; 220(1): 57.     CrossRef
  • How tightly controlled do fluctuations in blood glucose levels need to be to reduce the risk of developing complications in people with Type 1 diabetes?
    R. Livingstone, J. G. Boyle, J. R. Petrie
    Diabetic Medicine.2020; 37(4): 513.     CrossRef
  • In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus
    Jonas Nordhaug Myhre, Miguel Tejedor, Ilkka Kalervo Launonen, Anas El Fathi, Fred Godtliebsen
    Applied Sciences.2020; 10(18): 6350.     CrossRef
  • Association of Glycemic Indices (Hyperglycemia, Glucose Variability, and Hypoglycemia) with Oxidative Stress and Diabetic Complications
    Eleftheria Papachristoforou, Vaia Lambadiari, Eirini Maratou, Konstantinos Makrilakis, Celestino Sardu
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices
    Enrico Longato, Giada Acciaroli, Andrea Facchinetti, Alberto Maran, Giovanni Sparacino
    Journal of Diabetes Science and Technology.2020; 14(2): 297.     CrossRef
  • Efficacy and safety of trelagliptin in Japanese patients with type 2 diabetes with severe renal impairment or end‐stage renal disease: Results from a randomized, phase 3 study
    Kohei Kaku, Kazuyuki Ishida, Kohei Shimizu, Meguru Achira, Yuusuke Umeda
    Journal of Diabetes Investigation.2020; 11(2): 373.     CrossRef
  • Finding the clinical utility of 1,5-anhydroglucitol among primary care practitioners
    John Peabody, David Paculdo, M. Czarina Acelajado, Trever Burgon, Jeffrey R. Dahlen
    Journal of Clinical & Translational Endocrinology.2020; 20: 100224.     CrossRef
  • Effects of Exercise on Blood Glucose and Glycemic Variability in Type 2 Diabetic Patients with Dawn Phenomenon
    Xin Zheng, Yanyan Qi, Lina Bi, Wenli Shi, Yan Zhang, Dan Zhao, Su Hu, Meixin Li, Qin Li
    BioMed Research International.2020; 2020: 1.     CrossRef
  • Effects of Cardiovascular Risk Factor Variability on Health Outcomes
    Seung-Hwan Lee, Mee Kyoung Kim, Eun-Jung Rhee
    Endocrinology and Metabolism.2020; 35(2): 217.     CrossRef
  • Increased Preoperative Glucose Variability Is Associated with Adverse Perioperative Outcomes Following Orthopedic Surgery in Patients with Type 2 Diabetes Mellitus
    Si-jie Yuan, Jie Shen
    Current Medical Science.2020; 40(3): 523.     CrossRef
  • Clinically Accurate Prediction of Glucose Levels in Patients with Type 1 Diabetes
    Yotam Amar, Smadar Shilo, Tal Oron, Eran Amar, Moshe Phillip, Eran Segal
    Diabetes Technology & Therapeutics.2020; 22(8): 562.     CrossRef
  • Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis
    Wen-Cheng Chao, Chien-Hua Tseng, Chieh-Liang Wu, Sou-Jen Shih, Chi-Yuan Yi, Ming-Cheng Chan
    Annals of Intensive Care.2020;[Epub]     CrossRef
  • Effects of Glucose Fluctuation Targeted Intervention on the Prognosis of Patients with Type 2 Diabetes following the First Episode of Cerebral Infarction
    Qingqing Lou, Xiaodan Yuan, Shujie Hao, Joshua D. Miller, Juan Yan, Panpan Zuo, Jianing Li, Lihong Yang, Hong Li
    Journal of Diabetes Research.2020; 2020: 1.     CrossRef
  • Rationale and design of the LIBERATES trial: Protocol for a randomised controlled trial of flash glucose monitoring for optimisation of glycaemia in individuals with type 2 diabetes and recent myocardial infarction
    Colin C Everett, Catherine Reynolds, Catherine Fernandez, Deborah D Stocken, Linda D Sharples, Thozhukat Sathyapalan, Simon Heller, Robert F Storey, Ramzi A Ajjan
    Diabetes and Vascular Disease Research.2020; 17(5): 147916412095793.     CrossRef
  • Comparison between a flash glucose monitoring system and a portable blood glucose meter for monitoring dogs with diabetes mellitus
    Francesca Del Baldo, Claudia Canton, Silvia Testa, Harry Swales, Ignazio Drudi, Stefania Golinelli, Federico Fracassi
    Journal of Veterinary Internal Medicine.2020; 34(6): 2296.     CrossRef
  • Effect of Variability in Blood Pressure, Glucose and Cholesterol Concentrations, and Body Weight on Emergency Hospitalization and 30‐Day Mortality in the General Population
    Seung‐Hwan Lee, Kyungdo Han, Hyuk‐Sang Kwon, Kun‐Ho Yoon, Mee Kyoung Kim
    Journal of the American Heart Association.2020;[Epub]     CrossRef
  • Accumulating Physical Activity in Short or Brief Bouts for Glycemic Control in Adults With Prediabetes and Diabetes
    Courtney R. Chang, Brooke M. Russell, Paddy C. Dempsey, Hannah E. Christie, Matthew D. Campbell, Monique E. Francois
    Canadian Journal of Diabetes.2020; 44(8): 759.     CrossRef
  • Time in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control
    Jee Hee Yoo, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2020; 44(6): 828.     CrossRef
  • Flash glucose monitoring in diabetic dogs: a feasible method for evaluating glycemic control
    Florian K. Zeugswetter, Andrea Sellner
    Tierärztliche Praxis Ausgabe K: Kleintiere / Heimtiere.2020; 48(05): 330.     CrossRef
  • Letter: Efficacy and Safety of Voglibose Plus Metformin in Patients with Type 2 Diabetes Mellitus: A Randomized Controlled Trial (Diabetes Metab J 2019;43;276-86)
    Hannah Seok, Tae Seo Sohn
    Diabetes & Metabolism Journal.2019; 43(4): 545.     CrossRef
  • Efficacy of Real-Time Continuous Glucose Monitoring to Improve Effects of a Prescriptive Lifestyle Intervention in Type 2 Diabetes: A Pilot Study
    Penelope J. Taylor, Campbell H. Thompson, Natalie D. Luscombe-Marsh, Thomas P. Wycherley, Gary Wittert, Grant D. Brinkworth
    Diabetes Therapy.2019; 10(2): 509.     CrossRef
  • The mechanisms of glycemic variability accelerate diabetic central neuropathy and diabetic peripheral neuropathy in diabetic rats
    Junpeng Yang, Zhigang Zhao, Huijuan Yuan, Xiangxiang Ma, Yakun Li, Huimeng Wang, Xiaojun Ma, Guijun Qin
    Biochemical and Biophysical Research Communications.2019; 510(1): 35.     CrossRef
  • Assessment of glucose variability in subjects with prediabetes
    Nevena Chakarova, Rumyana Dimova, Greta Grozeva, Tsvetalina Tankova
    Diabetes Research and Clinical Practice.2019; 151: 56.     CrossRef
  • Phase 1 Study of the Pharmacology of BTI320 Before High‐Glycemic Meals
    David R. Luke, Karen Ka Yan Lee, Carl W. Rausch, Camille Cheng
    Clinical Pharmacology in Drug Development.2019; 8(3): 395.     CrossRef
  • Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study
    Alain Giordanengo, Eirik Årsand, Ashenafi Zebene Woldaregay, Meghan Bradway, Astrid Grottland, Gunnar Hartvigsen, Conceição Granja, Torbjørn Torsvik, Anne Helen Hansen
    JMIR Diabetes.2019; 4(3): e14002.     CrossRef
  • Early dysglycemia and mortality in traumatic brain injury and subarachnoid hemorrhage
    Simone Pappacena, Michael Bailey, Luca Cabrini, Giovanni Landoni, Andrew Udy, David V. Pilcher, Paul Young, Rinaldo Bellomo
    Minerva Anestesiologica.2019;[Epub]     CrossRef
  • The state of variability: A vision for descriptors of glycaemia
    Tony Zhou, Jennifer L. Knopp, J. Geoffrey Chase
    Annual Reviews in Control.2019; 48: 472.     CrossRef
  • Variability in Glycated Hemoglobin and Risk of Poor Outcomes Among People With Type 2 Diabetes in a Large Primary Care Cohort Study
    Julia A. Critchley, Iain M. Carey, Tess Harris, Stephen DeWilde, Derek G. Cook
    Diabetes Care.2019; 42(12): 2237.     CrossRef
  • Efficacy and safety of a morning injection of insulin glargine 300 units/mL versus insulin glargine 100 units/mL in adult patients with type 1 diabetes: A multicentre, randomized controlled trial using continuous glucose monitoring
    Jeremy Pettus, Jasvinder Gill, Sachin Paranjape, John Stewart, Shilpy Malla, Steven Edelman, Richard M. Bergenstal, Bruce Bode
    Diabetes, Obesity and Metabolism.2019; 21(8): 1906.     CrossRef
  • Improved outcome of patients with diabetes mellitus with good glycemic control in the cardiac intensive care unit: a retrospective study
    Kassem Sharif, Suheil Ghadir, Daniela Jakubowicz, Howard Amital, Nicola Luigi Bragazzi, Abdulla Watad, Julio Wainstein, Yosefa Bar-Dayan
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Short‐term exercise training reduces glycaemic variability and lowers circulating endothelial microparticles in overweight and obese women at elevated risk of type 2 diabetes
    Hossein Rafiei, Emily Robinson, Julianne Barry, Mary Elizabeth Jung, Jonathan Peter Little
    European Journal of Sport Science.2019; 19(8): 1140.     CrossRef
  • Rapid gastric emptying in diabetes mellitus: Pathophysiology and clinical importance
    Raj K. Goyal, Vivian Cristofaro, Maryrose P. Sullivan
    Journal of Diabetes and its Complications.2019; 33(11): 107414.     CrossRef
  • Fine-Scale Online Evaluation of Glycemic Control Performance Based on Temporal Feature Analysis
    Hong Zhao, Chunhui Zhao
    Industrial & Engineering Chemistry Research.2019; 58(11): 4374.     CrossRef
  • Breakfast replacement with a liquid formula improves glycaemic variability in patients with type 2 diabetes: a randomised clinical trial
    Jiahui Peng, Jingyi Lu, Xiaojing Ma, Lingwen Ying, Wei Lu, Wei Zhu, Yuqian Bao, Jian Zhou
    British Journal of Nutrition.2019; 121(5): 560.     CrossRef
  • Dapagliflozin: A Review in Type 1 Diabetes
    Julia Paik, Hannah A. Blair
    Drugs.2019; 79(17): 1877.     CrossRef
  • Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes
    Ashenafi Zebene Woldaregay, Eirik Årsand, Taxiarchis Botsis, David Albers, Lena Mamykina, Gunnar Hartvigsen
    Journal of Medical Internet Research.2019; 21(5): e11030.     CrossRef
  • Quantitative Assessment of Autonomic Regulation of the Cardiac System
    Jian Kang Wu, Zhipei Huang, Zhiqiang Zhang, Wendong Xiao, Hong Jiang
    Journal of Healthcare Engineering.2019; 2019: 1.     CrossRef
  • Different Types of Physical Activity and Metabolic Control in People With Type 1 Diabetes Mellitus
    Iztok Štotl, Tim Kambič, Vedran Hadžić, Anže Zdolšek
    Frontiers in Physiology.2019;[Epub]     CrossRef
  • A Randomized Pilot Study of the Effect of Trelagliptin and Alogliptin on Glycemic Variability in Patients with Type 2 Diabetes
    Rimei Nishimura, Takeshi Osonoi, Yasuhiro Koike, Kouji Miyata, Yukio Shimasaki
    Advances in Therapy.2019; 36(11): 3096.     CrossRef
  • No association between fear of hypoglycemia and blood glucose variability in type 1 diabetes: The cross-sectional VARDIA study
    Pierre Jean Saulnier, Claire Briet, Elise Gand, Lucy Chaillous, Severine Dubois, Fabrice Bonnet, Anne Marie Leguerrier, Gérard Fradet, Ingrid Delcourt Crespin, Veronique Kerlan, Didier Gouet, Caroline Perlemoine, Pierre Henri Ducluzeau, Matthieu Pichelin,
    Journal of Diabetes and its Complications.2019; 33(8): 554.     CrossRef
  • Limited benefit of haemoglobin glycation index as risk factor for cardiovascular disease in type 2 diabetes patients
    H.B. Østergaard, T. Mandrup-Poulsen, G.F.N. Berkelmans, Y. van der Graaf, F.L.J. Visseren, J. Westerink
    Diabetes & Metabolism.2019; 45(3): 254.     CrossRef
  • Glycemic Variability Is a Powerful Independent Predictive Factor of Midterm Major Adverse Cardiac Events in Patients With Diabetes With Acute Coronary Syndrome
    Edouard Gerbaud, Romain Darier, Michel Montaudon, Marie-Christine Beauvieux, Christine Coffin-Boutreux, Pierre Coste, Hervé Douard, Alexandre Ouattara, Bogdan Catargi
    Diabetes Care.2019; 42(4): 674.     CrossRef
  • General Assembly, Prevention, Host Risk Mitigation - General Factors: Proceedings of International Consensus on Orthopedic Infections
    William Jiranek, James W.M. Kigera, Brian A. Klatt, Fatih Küçükdurmaz, Jay Lieberman, Claus Moser, Kevin Mulhall, Hasan Nahouli, Edward Schwarz, Noam Shohat, Majd Tarabichi
    The Journal of Arthroplasty.2019; 34(2): S43.     CrossRef
  • Fenofibrate increases very-long-chain sphingolipids and improves blood glucose homeostasis in NOD mice
    Laurits J. Holm, Martin Haupt-Jorgensen, Jano D. Giacobini, Jane P. Hasselby, Mesut Bilgin, Karsten Buschard
    Diabetologia.2019; 62(12): 2262.     CrossRef
  • Ghrelin deficiency in patients with type 2 diabetes: the relationships with obesity, adipose tissue dysfunction and glucose variability
    V V Klimontov, D M Bulumbaeva, O N Fazullina, N B Orlov, V I Konenkov
    Terapevticheskii arkhiv.2019; 91(10): 28.     CrossRef
  • Treatment preference for weekly versus daily DPP-4 inhibitors in patients with type 2 diabetes mellitus: outcomes from the TRINITY trial
    Shu Meguro, Shingo Matsui, Hiroshi Itoh
    Current Medical Research and Opinion.2019; 35(12): 2071.     CrossRef
  • Glucose Variables in Type 1 Diabetes Studies With Dapagliflozin: Pooled Analysis of Continuous Glucose Monitoring Data From DEPICT-1 and -2
    Chantal Mathieu, Paresh Dandona, Moshe Phillip, Tal Oron, Marcus Lind, Lars Hansen, Fredrik Thorén, John Xu, Anna Maria Langkilde
    Diabetes Care.2019; 42(6): 1081.     CrossRef
  • Time in Range: Ein neuer Parameter – komplementär zum HbA 1c
    Thomas Danne, Olga Kordonouri, Torben Biester, Thorsten Siegmund, Jens Kröger, Peter Bramlage, Thomas Haak
    Deutsches Ärzteblatt Online.2019;[Epub]     CrossRef
  • Glucose variability during delirium in diabetic and non-diabetic intensive care unit patients: A prospective cohort study
    Kris van Keulen, Wilma Knol, Svetlana V. Belitser, Irene J. Zaal, Paul D. van der Linden, Eibert R. Heerdink, Toine C. G. Egberts, Arjen J. C. Slooter, Noël C. Barengo
    PLOS ONE.2018; 13(11): e0205637.     CrossRef
  • Association of various glycemic variability indices and vascular outcomes in type-2 diabetes patients
    Lei Tong, Chen Chi, Zhiguo Zhang
    Medicine.2018; 97(21): e10860.     CrossRef
  • Glycemic Variability: How to Measure and Its Clinical Implication for Type 2 Diabetes
    Guillermo E. Umpierrez, Boris P. Kovatchev
    The American Journal of the Medical Sciences.2018; 356(6): 518.     CrossRef
  • Glycemic Variability Percentage: A Novel Method for Assessing Glycemic Variability from Continuous Glucose Monitor Data
    Thomas A. Peyser, Andrew K. Balo, Bruce A. Buckingham, Irl B. Hirsch, Arturo Garcia
    Diabetes Technology & Therapeutics.2018; 20(1): 6.     CrossRef
  • Impact of Insulin Degludec in Hospitalized Patients With and Without Type 2 Diabetes Requiring Parenteral/Enteral Nutrition: An Observational Study
    Giuseppe Fatati, Agnese Di Donato, Ilenia Grandone, Pina Menicocci, Eva Mirri, Giuseppe Prosperini, Marco Scardapane, Maria Chiara Rossi, Mariangela Palazzi
    Advances in Therapy.2018; 35(6): 809.     CrossRef
  • Long-lasting Glucagon-like Peptide 1 Analogue Exendin-4 Ameliorates the Secretory and Synthetic Function of Islets Isolated From Severely Scalded Rats
    Dongxu Zhao, Li Ma, Chuanan Shen, Dawei Li, Wenfeng Cheng, Yuru Shang, Zhaoxing Liu, Xin Wang, Kai Yin
    Journal of Burn Care & Research.2018; 39(4): 545.     CrossRef
  • Social support effects on diabetes management by South African emerging adults: A replication and extension study
    Elné Visagie, Esmé van Rensburg, Elmarí Deacon
    Journal of Psychology in Africa.2018; 28(6): 504.     CrossRef
  • All Patients Should Be Screened for Diabetes Before Total Joint Arthroplasty
    Noam Shohat, Karan Goswami, Majd Tarabichi, Emily Sterbis, Timothy L. Tan, Javad Parvizi
    The Journal of Arthroplasty.2018; 33(7): 2057.     CrossRef
  • Devoting attention to glucose variability and hypoglycaemia in type 2 diabetes
    Martin K. Rutter
    Diabetologia.2018; 61(1): 43.     CrossRef
  • Duration of storage influences the hemoglobin rising effect of red blood cells in patients undergoing major abdominal surgery
    Oliver Hunsicker, Katarina Hessler, Alexander Krannich, Willehad Boemke, Ioana Braicu, Jalid Sehouli, Oliver Meyer, Axel Pruß, Claudia Spies, Aarne Feldheiser
    Transfusion.2018; 58(8): 1870.     CrossRef
  • Different Indexes of Glycemic Variability as Identifiers of Patients with Risk of Hypoglycemia in Type 2 Diabetes Mellitus
    Ana M. Gómez, Oscar M. Muñoz, Alejandro Marin, Maria Camila Fonseca, Martin Rondon, María Alejandra Robledo Gómez, Andrei Sanko, Dilcia Lujan, Maira García-Jaramillo, Fabian Mauricio León Vargas
    Journal of Diabetes Science and Technology.2018; 12(5): 1007.     CrossRef
  • Glucose concentrations after insulin‐induced hypoglycemia and glycemic variability in healthy and diabetic cats
    Eric Zini, Elena Salesov, Perrine Dupont, Laura Moretto, Barbara Contiero, Thomas A. Lutz, Claudia E. Reusch
    Journal of Veterinary Internal Medicine.2018; 32(3): 978.     CrossRef
  • Assessment of Glycemic Variability May Be the Next Step in Optimizing Patients for Total Joint Arthroplasty
    Charles N. Cornell
    Journal of Bone and Joint Surgery.2018; 100(13): e92.     CrossRef
  • Glucose Variability and the Use of Continuous Glucose Monitors in People With Type 1 and Type 2 Diabetes
    Betty Lu, Jennifer D. Goldman
    AADE in Practice.2018; 6(6): 22.     CrossRef
  • Emerging Technologies for Diabetes Care
    Timothy S. Bailey, John Walsh, Jenine Y. Stone
    Diabetes Technology & Therapeutics.2018; 20(S2): S2-78.     CrossRef
  • Exercise Timing in Type 2 Diabetes Mellitus: A Systematic Review
    SHAUN Y. M. TEO, JILL A. KANALEY, KYM J. GUELFI, SUMMER B. COOK, JEFFREY J. HEBERT, MITCHELL R. L. FORREST, TIMOTHY J. FAIRCHILD
    Medicine & Science in Sports & Exercise.2018; 50(12): 2387.     CrossRef
  • FATORES DE RISCO ASSOCIADOS À HIPOGLICEMIA E ANÁLISE DE EVENTOS ADVERSOS EM UMA TERAPIA INTENSIVA
    Keroulay Estebanez Roque, Andrea Rodrigues Gomes da Silva, Mario Henrique Bravo de Almeida Santos, Enirtes Caetano Prates Melo
    Texto & Contexto - Enfermagem.2018;[Epub]     CrossRef
  • Decreased Retinal Thickness in Type 1 Diabetic Children with Signs of Nonproliferative Diabetic Retinopathy
    P. Ruiz-Ocaña, P. Espinoza Requena, A. Alonso-Ojembarrena, P. Alemany Márquez, S. Jiménez Carmona, A. M. Lechuga-Sancho
    International Journal of Endocrinology.2018; 2018: 1.     CrossRef
  • The impact of dapagliflozin on glucose excursions related to early proatherogenic derangement in the aortic wall
    Agnieszka Stelmaszyk, Anna Wesołowska, Karolina Pomieczyńska, Saule Iskakova, Magdalena Frydrychowicz, Grzegorz Dworacki, Marzena Dworacka
    Saudi Pharmaceutical Journal.2018; 26(8): 1192.     CrossRef
  • The Relationship Between Social Support and Type 2 Diabetes Risk
    Kristin G. Maki
    Communication Research Reports.2018; 35(1): 12.     CrossRef
  • Early glycemia and mortality in critically ill septic patients: Interaction with insulin-treated diabetes
    Fraser Magee, Michael Bailey, David V. Pilcher, Johan Mårtensson, Rinaldo Bellomo
    Journal of Critical Care.2018; 45: 170.     CrossRef
  • Glycemic behavior in patients with type 2 diabetes during a short period of a combined training program
    Daniela Bassi, Almir Vieira Dibai-Filho, Leonardo Hesley Durans, Renata Gonçalves Mendes, Flávia Cristina Rossi Caruso, Vivian Maria Arakelian, Audrey Borghi-Silva
    Motriz: Revista de Educação Física.2018;[Epub]     CrossRef
  • Glycemic variability in the development of cardiovascular complications in diabetes
    Annunziata Nusca, Dario Tuccinardi, Marzia Albano, Camilla Cavallaro, Elisabetta Ricottini, Silvia Manfrini, Paolo Pozzilli, Germano Di Sciascio
    Diabetes/Metabolism Research and Reviews.2018;[Epub]     CrossRef
  • Continuous glucose monitoring: data management and evaluation by patients and health care professionals – current situation and developments
    Guido Freckmann, Jochen Mende
    LaboratoriumsMedizin.2018; 42(6): 225.     CrossRef
  • Glucotypes reveal new patterns of glucose dysregulation
    Heather Hall, Dalia Perelman, Alessandra Breschi, Patricia Limcaoco, Ryan Kellogg, Tracey McLaughlin, Michael Snyder, Jason Locasale
    PLOS Biology.2018; 16(7): e2005143.     CrossRef
  • The Role of Glycemic Control and Variability in Diabetic Retinopathy
    Irini P. Chatziralli
    Diabetes Therapy.2018; 9(1): 431.     CrossRef
  • Cardiovascular Autonomic Neuropathy Predicts Higher HbA1c Variability in Subjects with Type 2 Diabetes Mellitus
    Yeoree Yang, Eun-Young Lee, Jae-Hyoung Cho, Yong-Moon Park, Seung-Hyun Ko, Kun-Ho Yoon, Moo-Il Kang, Bong-Yun Cha, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2018; 42(6): 496.     CrossRef
  • Verapamil is a potential therapy for hypoglycaemic brain injury
    Janice J. Hwang, Robert S. Sherwin
    Nature Reviews Endocrinology.2018; 14(8): 443.     CrossRef
  • The effect of impaired glucose metabolism on weight loss in multidisciplinary childhood obesity treatment
    Julie T. Kloppenborg, Michael Gamborg, Cilius E. Fonvig, Tenna R. H. Nielsen, Oluf Pedersen, Jesper Johannesen, Torben Hansen, Jens‐Christian Holm
    Pediatric Diabetes.2018; 19(3): 366.     CrossRef
  • Increased glycemic variability in type 2 diabetes patients treated with insulin - a real-life clinical practice, continuous glucose monitoring (CGM) study
    Cristian-Ioan Crăciun, Anca-Elena Crăciun, Adriana Rusu, Corina Ioana Bocşan, Nicolae Hâncu, Anca Dana Buzoianu
    Revista Romana de Medicina de Laborator.2018; 26(3): 345.     CrossRef
  • Lixisenatide reduces glycaemic variability in insulin‐treated patients with type 2 diabetes
    Guillermo E. Umpierrez, David O'Neal, Andres DiGenio, Ronald Goldenberg, Eric Hernandez‐Triana, Jay Lin, Cheol‐Young Park, Eric Renard, Boris Kovatchev
    Diabetes, Obesity and Metabolism.2017; 19(9): 1317.     CrossRef
  • The relationship between fasting blood glucose variability and coronary artery collateral formation in type 2 diabetes patients with coronary artery disease
    Gang Cheng, Hilda Mahmoudi, Binna Chokshi, Marlena Fernandez, Vahid Kazemi, Nader Lamaa
    Coronary Artery Disease.2017; 28(6): 486.     CrossRef
  • How Can We Realize the Clinical Benefits of Continuous Glucose Monitoring?
    Ramzi A. Ajjan
    Diabetes Technology & Therapeutics.2017; 19(S2): S-27.     CrossRef
  • Effect of gemigliptin on glycaemic variability in patients with type 2 diabetes (STABLE study)
    Se E. Park, Byung W. Lee, Jae H. Kim, Woo J. Lee, Jae H. Cho, Chang H. Jung, Seung H. Lee, Sunghwan Suh, Gwong C. Hur, Sung H. Kim, Young H. Jang, Cheol Y. Park
    Diabetes, Obesity and Metabolism.2017; 19(6): 892.     CrossRef
  • Glucose variability indices predict the episodes of nocturnal hypoglycemia in elderly type 2 diabetic patients treated with insulin
    Vadim V. Klimontov, Natalia E. Myakina
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2017; 11(2): 119.     CrossRef
  • A Multicenter Real-Life Study on the Effect of Flash Glucose Monitoring on Glycemic Control in Patients with Type 1 and Type 2 Diabetes
    Ranjit Mohan Anjana, Jothydev Kesavadev, Deshpande Neeta, Mangesh Tiwaskar, Rajendra Pradeepa, Saravanan Jebarani, Suresh Thangamani, Nadiminty Ganapathi Sastry, Srivastava Brijendra Kumar, Muthu Ramu, Pokal Prasanna Kumar Gupta, Jayaprakash Vignesh, Sund
    Diabetes Technology & Therapeutics.2017; 19(9): 533.     CrossRef
  • Association Between Coronary Artery Calcification and the Hemoglobin Glycation Index: The Kangbuk Samsung Health Study
    Eun-Jung Rhee, Jung-Hwan Cho, Hyemi Kwon, Se Eun Park, Cheol-Young Park, Ki-Won Oh, Sung-Woo Park, Won-Young Lee
    The Journal of Clinical Endocrinology & Metabolism.2017; 102(12): 4634.     CrossRef
  • Comparison of Glucose Area Under the Curve Measured Using Minimally Invasive Interstitial Fluid Extraction Technology with Continuous Glucose Monitoring System in Diabetic Patients
    Mei Uemura, Yutaka Yano, Toshinari Suzuki, Taro Yasuma, Toshiyuki Sato, Aya Morimoto, Samiko Hosoya, Chihiro Suminaka, Hiromu Nakajima, Esteban C. Gabazza, Yoshiyuki Takei
    Diabetes & Metabolism Journal.2017; 41(4): 265.     CrossRef
  • Glycemic Variability and Its Association With Demographics and Lifestyles in a General Adult Population
    Francisco Gude, Pablo Díaz-Vidal, Cintia Rúa-Pérez, Manuela Alonso-Sampedro, Carmen Fernández-Merino, Jesús Rey-García, Carmen Cadarso-Suárez, Marcos Pazos-Couselo, José Manuel García-López, Arturo Gonzalez-Quintela
    Journal of Diabetes Science and Technology.2017; 11(4): 780.     CrossRef
  • Glycaemic variability in patients with severe sepsis or septic shock admitted to an Intensive Care Unit
    L.M. Silveira, A. Basile-Filho, E.A. Nicolini, C.A.M. Dessotte, G.C.S. Aguiar, A.M. Stabile
    Intensive and Critical Care Nursing.2017; 41: 98.     CrossRef
  • Exenatide once weekly improved 24‐hour glucose control and reduced glycaemic variability in metformin‐treated participants with type 2 diabetes: a randomized, placebo‐controlled trial
    Juan P. Frías, Samer Nakhle, James A. Ruggles, Sergey Zhuplatov, Eric Klein, Rong Zhou, Poul Strange
    Diabetes, Obesity and Metabolism.2017; 19(1): 40.     CrossRef
  • Individualized, patient-centered use of lixisenatide for the treatment of type 2 diabetes mellitus
    Markolf Hanefeld, Denis Raccah, Louis Monnier
    Expert Opinion on Drug Metabolism & Toxicology.2017; 13(3): 311.     CrossRef
  • Glucocorticoid-Induced Diabetes Mellitus: An Important but Overlooked Problem
    Sunghwan Suh, Mi Kyoung Park
    Endocrinology and Metabolism.2017; 32(2): 180.     CrossRef
  • Urinary N-acetyl-β-D-glucosaminidase, an early marker of diabetic kidney disease, might reflect glucose excursion in patients with type 2 diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Eun Seok Kang, Bong-Soo Cha, Jeong-Ho Kim, Byung-Wan Lee
    Medicine.2016; 95(27): e4114.     CrossRef
  • Insulin degludec + liraglutide: a complementary combination
    K. Stinkens, B. Peene, C. Mathieu
    Expert Opinion on Biological Therapy.2016; 16(9): 1171.     CrossRef
  • GLP1-RA Add-on Therapy in Patients with Type 2 Diabetes Currently on a Bolus Containing Insulin Regimen
    Marie L. Davies, David Q. Pham, Scott R. Drab
    Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy.2016; 36(8): 893.     CrossRef
  • Teneligliptin: Heralding Change in Type 2 Diabetes
    Manish Maladkar, Srividya Sankar, Kushal Kamat
    Journal of Diabetes Mellitus.2016; 06(02): 113.     CrossRef
  • Association between estimated blood glucose levels and glycated hemoglobin levels
    Seon-Ah Cha, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2016; 31(3): 457.     CrossRef
  • Metformin attenuates fluctuating glucose-induced endothelial dysfunction through enhancing GTPCH1-mediated eNOS recoupling and inhibiting NADPH oxidase
    Huijie An, Rui Wei, Jing Ke, Jin Yang, Ye Liu, Xian Wang, Guang Wang, Tianpei Hong
    Journal of Diabetes and its Complications.2016; 30(6): 1017.     CrossRef
  • The impact of glycemic variability on diabetic peripheral neuropathy
    Heung Yong Jin, Kyung Ae Lee, Tae Sun Park
    Endocrine.2016; 53(3): 643.     CrossRef
  • The association of serum glycated albumin with the prevalence of diabetic retinopathy in Korean patients with type 2 diabetes mellitus
    Won Seon Jeon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Cheol-Young Park
    Diabetes Research and Clinical Practice.2016; 116: 46.     CrossRef
  • Management of Steroid-induced Hyperglycemia
    Sunghwan Suh, Mi Kyoung Park
    The Journal of Korean Diabetes.2016; 17(3): 174.     CrossRef
  • Comparison of Different Treatment Modalities for Type 1 Diabetes, Including Sensor-Augmented Insulin Regimens, in 52 Weeks of Follow-Up: A COMISAIR Study
    Jan Šoupal, Lenka Petruželková, Milan Flekač, Tomáš Pelcl, Martin Matoulek, Martina Daňková, Jan Škrha, Štěpán Svačina, Martin Prázný
    Diabetes Technology & Therapeutics.2016; 18(9): 532.     CrossRef
  • Heart rate variability is associated with interstitial glucose fluctuations in type 2 diabetic women treated with insulin
    Vadim V. Klimontov, Natalia E. Myakina, Nadezda V. Tyan
    SpringerPlus.2016;[Epub]     CrossRef
Response: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J 2015;39:247-52)
Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
Diabetes Metab J. 2015;39(4):350-351.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.350
  • 3,549 View
  • 31 Download
PDFPubReader   
Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database
Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
Diabetes Metab J. 2015;39(3):247-252.   Published online April 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.247
  • 4,433 View
  • 36 Download
  • 21 Web of Science
  • 18 Crossref
AbstractAbstract PDFPubReader   
Background

We assessed the association of dipeptidyl peptidase 4 inhibitors (DPP4i) with hospitalization for heart failure (HF) using the Korean Health Insurance claims database.

Methods

We collected data on newly prescribed sitagliptin, vildagliptin, and pioglitazone between January 1, 2009 and December 31, 2012 (mean follow-up of 336.8 days) to 935,519 patients with diabetes (518,614 males and 416,905 females) aged 40 to 79 years (mean age of 59.4 years).

Results

During the study, 998 patients were hospitalized for primary HF (115.7 per 100,000 patient-years). The incidence rate of hospitalization for HF was 117.7 per 100,000 per patient-years among patients on pioglitazone, 105.7 for sitagliptin, and 135.8 for vildagliptin. The hospitalization rate for HF was greatest in the first 30 days after starting the medication, which corresponded to a significantly higher incidence at days 0 to 30 compared with days 31 to 360 for all three drugs. The hazard ratios were 1.85 (pioglitazone), 2.00 (sitagliptin), and 1.79 (vildagliptin). The incidence of hospitalization for HF did not differ between the drugs for any time period.

Conclusion

This study showed an increase in hospitalization for HF in the initial 30 days of the DPP4i and pioglitazone compared with the subsequent follow-up period. However, the differences between the drugs were not significant.

Citations

Citations to this article as recorded by  
  • Cardioprotective effects of dipeptidyl peptidase-4 inhibitors versus sulfonylureas in addition to metformin: A nationwide cohort study of patients with type 2 diabetes
    Jui Wang, Hon-Yen Wu, Kuo-Liong Chien
    Diabetes & Metabolism.2022; 48(3): 101299.     CrossRef
  • Changing Fields-Diabetes Medications Invading the Cardiovascular Space
    Lauren D. Breite, Mackenzie Steck, Brandon Tate Cutshall, Samarth P. Shah, Brandon E. Cave
    Current Problems in Cardiology.2021; 46(3): 100736.     CrossRef
  • Cardiovascular Safety and Benefits of Noninsulin Antihyperglycemic Drugs for the Treatment of Type 2 Diabetes Mellitus: Part 2
    Srikanth Yandrapalli, Aaqib Malik, Adam Horblitt, Gayatri Pemmasani, Wilbert S. Aronow, William H. Frishman
    Cardiology in Review.2020; 28(5): 219.     CrossRef
  • Effects of antidiabetic drugs on left ventricular function/dysfunction: a systematic review and network meta-analysis
    Da-Peng Zhang, Li Xu, Le-Feng Wang, Hong-Jiang Wang, Feng Jiang
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Dipeptidyl peptidase-4 inhibitor compared with sulfonylurea in combination with metformin: cardiovascular and renal outcomes in a propensity-matched cohort study
    Kyoung Jin Kim, Jimi Choi, Juneyoung Lee, Jae Hyun Bae, Jee Hyun An, Hee Young Kim, Hye Jin Yoo, Ji A. Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Comparative Cardiovascular Risks of Dipeptidyl Peptidase-4 Inhibitors: Analyses of Real-world Data in Korea
    Kyoung Hwa Ha, Bongseong Kim, Hae Sol Shin, Jinhee Lee, Hansol Choi, Hyeon Chang Kim, Dae Jung Kim
    Korean Circulation Journal.2018; 48(5): 395.     CrossRef
  • Worsening Heart Failure During the Use of DPP-4 Inhibitors
    Milton Packer
    JACC: Heart Failure.2018; 6(6): 445.     CrossRef
  • Resistance exercise improves cardiac function and mitochondrial efficiency in diabetic rat hearts
    Tae Hee Ko, Jubert C. Marquez, Hyoung Kyu Kim, Seung Hun Jeong, SungRyul Lee, Jae Boum Youm, In Sung Song, Dae Yun Seo, Hye Jin Kim, Du Nam Won, Kyoung Im Cho, Mun Gi Choi, Byoung Doo Rhee, Kyung Soo Ko, Nari Kim, Jong Chul Won, Jin Han
    Pflügers Archiv - European Journal of Physiology.2018; 470(2): 263.     CrossRef
  • Do DPP-4 Inhibitors Cause Heart Failure Events by Promoting Adrenergically Mediated Cardiotoxicity?
    Milton Packer
    Circulation Research.2018; 122(7): 928.     CrossRef
  • Comparative safety for cardiovascular outcomes of DPP-4 inhibitors versus glimepiride in patients with type 2 diabetes
    Hyouk-Jun Chin, Jin Hyun Nam, Eui-Kyung Lee, Ju-Young Shin
    Medicine.2017; 96(25): e7213.     CrossRef
  • Effects of dipeptidyl peptidase-4 inhibitor in insulin-resistant rats with myocardial infarction
    Nattayaporn Apaijai, Tharnwimol Inthachai, Suree Lekawanvijit, Siriporn C Chattipakorn, Nipon Chattipakorn
    Journal of Endocrinology.2016; 229(3): 245.     CrossRef
  • The current role of thiazolidinediones in diabetes management
    Christos V. Rizos, Anastazia Kei, Moses S. Elisaf
    Archives of Toxicology.2016; 90(8): 1861.     CrossRef
  • Alternative Interventions to Prevent Oxidative Damage following Ischemia/Reperfusion
    Simón Quetzalcoatl Rodríguez-Lara, Ernesto German Cardona-Muñoz, Ernesto Javier Ramírez-Lizardo, Sylvia Elena Totsuka-Sutto, Araceli Castillo-Romero, Teresa Arcelia García-Cobián, Leonel García-Benavides, Kota V. Ramana
    Oxidative Medicine and Cellular Longevity.2016;[Epub]     CrossRef
  • Lessons learned from cardiovascular outcome clinical trials with dipeptidyl peptidase 4 (DPP-4) inhibitors
    Teresa Vanessa Fiorentino, Giorgio Sesti
    Endocrine.2016; 53(2): 373.     CrossRef
  • Letter: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J2015;39:247-52)
    Dae Ho Lee
    Diabetes & Metabolism Journal.2015; 39(4): 348.     CrossRef
  • Response: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J2015;39:247-52)
    Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2015; 39(4): 350.     CrossRef
  • Cardiovascular, renal and gastrointestinal effects of incretin-based therapies: an acute and 12-week randomised, double-blind, placebo-controlled, mechanistic intervention trial in type 2 diabetes
    Mark M Smits, Lennart Tonneijck, Marcel H A Muskiet, Trynke Hoekstra, Mark H H Kramer, Indra C Pieters, Djuna L Cahen, Michaela Diamant, Daniël H van Raalte
    BMJ Open.2015; 5(11): e009579.     CrossRef
  • Dipeptidyl Peptidase-4 Inhibitor Alarms: Is Heart Failure Caused by a Class Effect?
    Yong-ho Lee
    Diabetes & Metabolism Journal.2015; 39(3): 204.     CrossRef
Effectiveness of 3-Day Continuous Glucose Monitoring for Improving Glucose Control in Type 2 Diabetic Patients in Clinical Practice
Soo Kyoung Kim, Hye Jeong Kim, Taehun Kim, Kyu Yeon Hur, Sun Wook Kim, Moon-Kyu Lee, Yong-Ki Min, Kwang-Won Kim, Jae Hoon Chung, Jae Hyeon Kim
Diabetes Metab J. 2014;38(6):449-455.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.449
  • 5,374 View
  • 40 Download
  • 16 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to investigate whether adjusting diabetic treatment regimens according to the information obtained from a continuous glucose monitoring system (CGMS) might lead to improved glycemic control in patients with type 2 diabetes.

Methods

We reviewed the medical charts of 172 patients who used the CGMS for 1 year starting in December 2008 and the records of 1,500 patients who visited their regular outpatient clinics during December 2008. Of these patients, a total of 65 CGMS patients and 301 regular outpatients (control group) were enrolled in the study after propensity score matching. There were no differences in baseline glycated hemoglobin (HbA1c), age, and duration of diabetes between the CGMS and the control groups after propensity score matching. The changes in the HbA1c levels from baseline to 6 months were calculated.

Results

The CGMS group showed a significant improvement in the HbA1c level compared to the control group at 3 months (7.9%±1.6% vs. 7.4%±1.2%, P=0.001) and at 6 months (7.4%±1.2% vs. 7.9%±1.6%, P=0.010). There were significant differences in the treatment modality changes between the CGMS group and the control group.

Conclusion

Using a 3-day CGMS was advantageous for improving glucose control in patients with type 2 diabetes and may help these patients to optimize glycemic control in clinical practice.

Citations

Citations to this article as recorded by  
  • Biological and Clinical Impacts of Glucose Metabolism in Pancreatic Ductal Adenocarcinoma
    Zhao Liu, Hiromitsu Hayashi, Kazuki Matsumura, Norio Uemura, Yuta Shiraishi, Hiroki Sato, Hideo Baba
    Cancers.2023; 15(2): 498.     CrossRef
  • Professional continuous glucose monitoring in patients with diabetes mellitus: A systematic review and meta‐analysis
    Sergio Di Molfetta, Irene Caruso, Angelo Cignarelli, Annalisa Natalicchio, Sebastio Perrini, Luigi Laviola, Francesco Giorgino
    Diabetes, Obesity and Metabolism.2023; 25(5): 1301.     CrossRef
  • American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus
    George Grunberger, Jennifer Sherr, Myriam Allende, Thomas Blevins, Bruce Bode, Yehuda Handelsman, Richard Hellman, Rosemarie Lajara, Victor Lawrence Roberts, David Rodbard, Carla Stec, Jeff Unger
    Endocrine Practice.2021; 27(6): 505.     CrossRef
  • Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions
    Jong Il Park, Hwa Young Lee, Hyunah Kim, Jisan Lee, Jiwon Shinn, Hun-Sung Kim
    Journal of Korean Medical Science.2021;[Epub]     CrossRef
  • A head‐to‐head comparison of personal and professional continuous glucose monitoring systems in people with type 1 diabetes: Hypoglycaemia remains the weak spot
    Othmar Moser, Marlene Pandis, Felix Aberer, Harald Kojzar, Daniel Hochfellner, Hesham Elsayed, Melanie Motschnig, Thomas Augustin, Philipp Kreuzer, Thomas R. Pieber, Harald Sourij, Julia K. Mader
    Diabetes, Obesity and Metabolism.2019; 21(4): 1043.     CrossRef
  • Glucose monitoring in diabetes: from clinical studies to real‐world practice
    Rebecca C Sagar, Afroze Abbas, Ramzi Ajjan
    Practical Diabetes.2019; 36(2): 57.     CrossRef
  • The Effectiveness of Continuous Glucose Monitoring in Patients with Type 2 Diabetes: A Systematic Review of Literature and Meta-analysis
    Cindy Park, Quang A. Le
    Diabetes Technology & Therapeutics.2018; 20(9): 613.     CrossRef
  • Effects of Dapagliflozin on 24-Hour Glycemic Control in Patients with Type 2 Diabetes: A Randomized Controlled Trial
    Robert R. Henry, Poul Strange, Rong Zhou, Jeremy Pettus, Leon Shi, Sergey B. Zhuplatov, Traci Mansfield, David Klein, Arie Katz
    Diabetes Technology & Therapeutics.2018; 20(11): 715.     CrossRef
  • Clinical and economic benefits of professional CGM among people with type 2 diabetes in the United States: analysis of claims and lab data
    Joseph A. Sierra, Mona Shah, Max S. Gill, Zachery Flores, Hiten Chawla, Francine R. Kaufman, Robert Vigersky
    Journal of Medical Economics.2018; 21(3): 225.     CrossRef
  • Role of continuous glucose monitoring for type 2 in diabetes management and research
    Robert Vigersky, Maneesh Shrivastav
    Journal of Diabetes and its Complications.2017; 31(1): 280.     CrossRef
  • Assessing the Therapeutic Utility of Professional Continuous Glucose Monitoring in Type 2 Diabetes Across Various Therapies: A Retrospective Evaluation
    Jothydev Kesavadev, Robert Vigersky, John Shin, Pradeep Babu Sadasivan Pillai, Arun Shankar, Geethu Sanal, Gopika Krishnan, Sunitha Jothydev
    Advances in Therapy.2017; 34(8): 1918.     CrossRef
  • Use of Continuous Glucose Monitoring in Youth-Onset Type 2 Diabetes
    Christine L. Chan
    Current Diabetes Reports.2017;[Epub]     CrossRef
  • The efficacy and safety of adding either vildagliptin or glimepiride to ongoing metformin therapy in patients with type 2 diabetes mellitus
    Gyuri Kim, Sewon Oh, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee
    Expert Opinion on Pharmacotherapy.2017; 18(12): 1179.     CrossRef
  • Morning Spot Urine Glucose-to-Creatinine Ratios Predict Overnight Urinary Glucose Excretion in Patients With Type 2 Diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Sun Hee Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Jeong-Ho Kim, Byung-Wan Lee
    Annals of Laboratory Medicine.2017; 37(1): 9.     CrossRef
  • The Contemporary Role of Masked Continuous Glucose Monitoring in a Real-Time World
    Ian Blumer
    Journal of Diabetes Science and Technology.2016; 10(3): 790.     CrossRef
  • Glycemic Variability: How Do We Measure It and Why Is It Important?
    Sunghwan Suh, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2015; 39(4): 273.     CrossRef
Current Status of Glycemic Control of Patients with Diabetes in Korea: The Fifth Korea National Health and Nutrition Examination Survey
Ja Young Jeon, Dae Jung Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Soo Lim, Sung Hee Choi, Chul Sik Kim, Jee Hyun An, Nan Hee Kim, Jong Chul Won, Jae Hyeon Kim, Bong-Yun Cha, Kee-Ho Song
Diabetes Metab J. 2014;38(3):197-203.   Published online June 17, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.3.197
  • 5,111 View
  • 59 Download
  • 46 Web of Science
  • 51 Crossref
AbstractAbstract PDFPubReader   
Background

The Korea National Health and Nutrition Examination Survey (KNHANES) III (2005) reported that 22.9% of individuals with diabetes have a glycated hemoglobin (HbA1c) <6.5% and that 43.5% have an HbA1c <7%. We investigated the levels of glycemic control and the factors associated with glycemic control using data from the KNHANES V (2010 to 2012).

Methods

Subjects with diabetes diagnosed by a physician or those taking antidiabetic medications were classified as individuals with known diabetes. Of 1,498 subjects aged ≥30 years with diabetes, we excluded 157 individuals who were missing HbA1c data. A total of 1,341 subjects were included in the final analysis.

Results

The prevalence of known diabetes was 7.7% (n=1,498, estimated to be 2.32 million people). The proportions of well-controlled diabetes meeting a HbA1c goal of <6.5% and <7% were 27% and 45.6%, respectively. HbA1c increased as the duration of diabetes increased. HbA1c in subjects with a duration of diabetes ≤5 years was lower than in subjects with a duration >5 years. HbA1c in the group taking only oral hypoglycemic agents (OHAs) was significantly lower than that in the group administered only insulin or OHA and insulin in combination. In logistic regression analysis, a longer duration of diabetes, insulin use and the absence of chronic renal failure were associated with HbA1c levels >6.5%.

Conclusion

The level of adequate glycemic control was similar to but slightly improved compared with previous levels. The glycemic control of long-standing diabetes patients is more difficult even though they receive insulin treatment.

Citations

Citations to this article as recorded by  
  • Real-time continuous glucose monitoring vs. self-monitoring of blood glucose: cost-utility in South Korean type 2 diabetes patients on intensive insulin
    Ji Yoon Kim, Sabrina Ilham, Hamza Alshannaq, Richard F. Pollock, Waqas Ahmed, Gregory J. Norman, Sang-Man Jin, Jae Hyeon Kim
    Journal of Medical Economics.2024; : 1.     CrossRef
  • Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study
    Sang-Yong Kim, Sungrae Kim
    Diabetes Therapy.2023; 14(1): 109.     CrossRef
  • Information and Communications Technology (ICT)-based Monitoring Service for Tailored Chronic Disease Management in Primary Care: Cost-Effectiveness Analysis based on ICT-CM Trial Results (Preprint)
    Sung-Hee Oh, Jae-Heon Kang, Jin-Won Kwon
    Journal of Medical Internet Research.2023;[Epub]     CrossRef
  • Declined incidence of patients treated for vision-threatening diabetic retinopathy in South Korea: a 12-year nationwide population-based study
    Jiwon Kim, Hyojin Seong, Kang Ju Son, Eun Jee Chung
    Graefe's Archive for Clinical and Experimental Ophthalmology.2022; 260(1): 101.     CrossRef
  • Glycemic status and general characteristics among individuals with undiagnosed diabetes; findings from second National Diabetes Survey of Pakistan 2016–2017 (NDSP 08)
    Abdul Basit, Nazish Waris, Asher Fawwad, Bilal Tahir, Iftikhar Ahmed Siddiqui, Mujeeb Ur Rehman Abro, Khawaja Ishfaq Ahmed, Khurshid Ahmed, Sobia Sabir Ali, Ahmed Bilal, Anam Butt, Bikha Ram Devrajani, Ijaz Hayder, Yasir Humayun, Rabia Irshad, Riasat Ali
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2022; 16(6): 102535.     CrossRef
  • Glycemic control and its determinants among people with type 2 diabetes mellitus in Ernakulam district, Kerala
    ShanaShirin Najeeb, TeenaMary Joy, Aswathy Sreedevi, K Vijayakumar, Syama, . Glycaemic Control and Determinants Team
    Indian Journal of Public Health.2022; 66(5): 80.     CrossRef
  • C-peptide level as predictor of type 2 diabetes remission and body composition changes in non-diabetic and diabetic patients after Roux-en-Y gastric bypass
    Roberto de Cleva, Flavio Kawamoto, Georgia Borges, Priscila Caproni, Alex Jones Flores Cassenote, Marco Aurelio Santo
    Clinics.2021; 76: e2906.     CrossRef
  • Inadequate achievement of ABC goals (HbA1c, blood pressure, LDL-C) among patients with type 2 diabetes in an Iranian population, 2012–2017
    Mehrdad Larry, Saeid Alizadeh, Sina Naderi, Bahareh Salekani, Mohammad Ali Mansournia, Soghra Rabizadeh, Alireza Esteghamati, Manouchehr Nakhjavani
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2020; 14(4): 619.     CrossRef
  • Site-specific cancer risk in patients with type 2 diabetes: a nationwide population-based cohort study in Korea
    Suk Kyeong Kim, Ju-Young Jang, Dong-Lim Kim, Young A Rhyu, Suh Eun Lee, Seung-Hyun Ko, Kyungdo Han, Kee-Ho Song
    The Korean Journal of Internal Medicine.2020; 35(3): 641.     CrossRef
  • The development of oral semaglutide, an oral GLP-1 analog, for the treatment of type 2 diabetes
    Mads Frederik Rasmussen
    Diabetology International.2020; 11(2): 76.     CrossRef
  • An Assessment of Pharmacokinetic Interaction Between Lobeglitazone and Sitagliptin After Multiple Oral Administrations in Healthy Men
    Seol Ju Moon, Kyung-Sang Yu, Min-Gul Kim
    Clinical Therapeutics.2020; 42(6): 1047.     CrossRef
  • Nationwide Trends in Pancreatitis and Pancreatic Cancer Risk Among Patients With Newly Diagnosed Type 2 Diabetes Receiving Dipeptidyl Peptidase 4 Inhibitors
    Minyoung Lee, Jiyu Sun, Minkyung Han, Yongin Cho, Ji-Yeon Lee, Chung Mo Nam, Eun Seok Kang
    Diabetes Care.2019; 42(11): 2057.     CrossRef
  • Factors Influencing Glycemic Control among Type 2 Diabetes Mellitus Patients: The Sixth Korea National Health and Nutrition Examination Survey (2013~2015)
    Mee Ock Gu
    Korean Journal of Adult Nursing.2019; 31(3): 235.     CrossRef
  • Trends in metabolic risk factors among patients with diabetes mellitus according to income levels: the Korea National Health and Nutrition Examination Surveys 1998 ~ 2014
    Sukyung Cho, Kyong Park
    Journal of Nutrition and Health.2019; 52(2): 206.     CrossRef
  • Current status of treatment of type 2 diabetes mellitus in Ningbo, China
    Tianmeng Yang, Rongjiong Zheng, Qingmei Chen, Yushan Mao
    Journal of Clinical Laboratory Analysis.2019;[Epub]     CrossRef
  • Trends in the prevalence and management of diabetes in Korea: 2007-2017
    Ji-Yeon Shin
    Epidemiology and Health.2019; 41: e2019029.     CrossRef
  • Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
    Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
    Diabetes & Metabolism Journal.2019; 43(4): 487.     CrossRef
  • A new comprehensive diabetes health literacy scale: Development and psychometric evaluation
    Eun-Hyun Lee, Young Whee Lee, Kwan-Woo Lee, Moonsuk Nam, So Hun Kim
    International Journal of Nursing Studies.2018; 88: 1.     CrossRef
  • Women are less likely than men to achieve optimal glycemic control after 1 year of treatment: A multi-level analysis of a Korean primary care cohort
    Seung-Ah Choe, Joo Yeong Kim, Young Sun Ro, Sung-Il Cho, Antonio Palazón-Bru
    PLOS ONE.2018; 13(5): e0196719.     CrossRef
  • Ten-Year Mortality Trends for Adults with and without Diabetes Mellitus in South Korea, 2003 to 2013
    Kyeong Jin Kim, Tae Yeon Kwon, Sungwook Yu, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Sin Gon Kim, Yousung Park, Nam Hoon Kim
    Diabetes & Metabolism Journal.2018; 42(5): 394.     CrossRef
  • Comparison of Adherence to Glimepiride/Metformin Sustained Release Once-daily Versus Glimepiride/Metformin Immediate Release BID Fixed-combination Therapy Using the Medication Event Monitoring System in Patients With Type 2 Diabetes
    Jong-Dai Kim, Cheol-Young Park, Bong-Yun Cha, Kyu Jeung Ahn, In Joo Kim, Kyong Soo Park, Hyung Woo Lee, Kyung-Wan Min, Jong Chul Won, Min Young Chung, Jae-Taek Kim, Jun Goo Kang, Sung-Woo Park
    Clinical Therapeutics.2018; 40(5): 752.     CrossRef
  • Negative Association of Hepatitis B Virus With Hearing Impairment
    SKM Azizul Islam, Jin Wook Chung, Young-Sil Lee, HoChan Cho, Seong-Su Moon
    American Journal of Audiology.2018; 27(3): 324.     CrossRef
  • The effectiveness, reproducibility, and durability of tailored mobile coaching on diabetes management in policyholders: A randomized, controlled, open-label study
    Da Young Lee, Jeongwoon Park, Dooah Choi, Hong-Yup Ahn, Sung-Woo Park, Cheol-Young Park
    Scientific Reports.2018;[Epub]     CrossRef
  • Prediction of Type 2 Diabetes Remission after Bariatric or Metabolic Surgery
    Ji Yeon Park
    Journal of Obesity & Metabolic Syndrome.2018; 27(4): 213.     CrossRef
  • Past and Current Status of Adult Type 2 Diabetes Mellitus Management in Korea: A National Health Insurance Service Database Analysis
    Seung-Hyun Ko, Kyungdo Han, Yong-ho Lee, Junghyun Noh, Cheol-Young Park, Dae-Jung Kim, Chang Hee Jung, Ki-Up Lee, Kyung-Soo Ko
    Diabetes & Metabolism Journal.2018; 42(2): 93.     CrossRef
  • Prediction of Diabetes Remission after Bariatric or Metabolic Surgery
    Ji Yeon Park
    Journal of Metabolic and Bariatric Surgery.2018; 7(1): 22.     CrossRef
  • Detrimental Effects of Higher Body Mass Index and Smoking Habits on Menstrual Cycles in Korean Women
    An Na Jung, Ju Hwan Park, Jihyun Kim, Seok Hyun Kim, Byung Chul Jee, Byung Heun Cha, Jae Woong Sull, Jin Hyun Jun
    Journal of Women's Health.2017; 26(1): 83.     CrossRef
  • Improved trends in cardiovascular complications among subjects with type 2 diabetes in Korea: a nationwide study (2006–2013)
    Chang Hee Jung, Jin Ook Chung, Kyungdo Han, Seung-Hyun Ko, Kyung Soo Ko, Joong-Yeol Park
    Cardiovascular Diabetology.2017;[Epub]     CrossRef
  • The differences in the incidence of diabetes mellitus and prediabetes according to the type of HMG-CoA reductase inhibitors prescribed in Korean patients
    Tong Min Kim, Hyunah Kim, Yoo Jin Jeong, Sun Jung Baik, So Jung Yang, Seung-Hwan Lee, Jae-Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, In Young Choi, Kun-Ho Yoon, Hun-Sung Kim
    Pharmacoepidemiology and Drug Safety.2017; 26(10): 1156.     CrossRef
  • Euglycemic Diabetic Ketoacidosis When Reducing Insulin Dosage in Patients Taking Sodium Glucose Cotransporter 2 Inhibitor
    Woo Jin Yi, Soo-Kyung Kim, Sun Ung Youn, Namkyu Kang, Myung Won Lee, Seok O Park
    The Ewha Medical Journal.2017; 40(1): 55.     CrossRef
  • Effectiveness of Vildagliptin in Clinical Practice: Pooled Analysis of Three Korean Observational Studies (the VICTORY Study)
    Sunghwan Suh, Sun Ok Song, Jae Hyeon Kim, Hyungjin Cho, Woo Je Lee, Byung-Wan Lee
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Prevalence and risk factors for reduced pulmonary function in diabetic patients: The Korea National Health and Nutrition Examination Survey
    Hee Yeon Kim, Tae Seo Sohn, Hannah Seok, Chang Dong Yeo, Young Soo Kim, Jae Yen Song, Young Bok Lee, Dong-Hee Lee, Jae-Im Lee, Tae-Kyu Lee, Seong Cheol Jeong, Mihee Hong, Hiun Suk Chae
    The Korean Journal of Internal Medicine.2017; 32(4): 682.     CrossRef
  • Delay of insulin initiation in patients with type 2 diabetes mellitus inadequately controlled with oral hypoglycemic agents (analysis of patient‐ and physician‐related factors): A prospective observational DIPP‐FACTOR study in Korea
    Sin Gon Kim, Nam Hoon Kim, Bon Jeong Ku, Ho Sang Shon, Doo Man Kim, Tae Sun Park, Yong‐Seong Kim, In Joo Kim, Dong Seop Choi
    Journal of Diabetes Investigation.2017; 8(3): 346.     CrossRef
  • Effectiveness and safety of exenatide in Korean patients with type 2 diabetes inadequately controlled with oral hypoglycemic agents: an observational study in a real clinical practice
    You-Cheol Hwang, Ari Kim, Euna Jo, Yeoree Yang, Jae-Hyoung Cho, Byung-Wan Lee
    BMC Endocrine Disorders.2017;[Epub]     CrossRef
  • Current status of managing diabetes mellitus in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
  • Trends of antidiabetic drug use in adult type 2 diabetes in Korea in 2002–2013
    Seung-Hyun Ko, Dae-Jung Kim, Jong-Heon Park, Cheol-Young Park, Chang Hee Jung, Hyuk-Sang Kwon, Joong-Yeol Park, Kee-Ho Song, Kyungdo Han, Ki-Up Lee, Kyung-Soo Ko
    Medicine.2016; 95(27): e4018.     CrossRef
  • A patient-centric approach to optimise insulin therapy in Asia
    Su Yen Goh, Ernesto Ang, Shailendra Bajpai, Chaicharn Deerochanawong, Eun-Gyoung Hong, Zanariah Hussein, Shashank Joshi, Nor Azmi Kamaruddin, Sjoberg Kho, Alice Pik-Shan Kong, Chang Yu Pan, Riccardo Perfetti, Apichati Vichayanrat, Aleksandra Vlajnic, Juli
    Journal of Diabetes and its Complications.2016; 30(6): 973.     CrossRef
  • Association between blood glucose level derived using the oral glucose tolerance test and glycated hemoglobin level
    Hyoung Joo Kim, Young Geon Kim, Jin Soo Park, Young Hwan Ahn, Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(3): 535.     CrossRef
  • Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
    Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
    Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
  • Factors Associated with Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: The Fifth Korea National Health and Nutrition Examination Survey (2010-2012)
    Jinhyun Park, Seungji Lim, Eunshil Yim, Youngdae Kim, Woojin Chung
    Health Policy and Management.2016; 26(2): 125.     CrossRef
  • Reduction of Sulfonylurea with the Initiation of Basal Insulin in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Undergoing Long-Term Sulfonylurea-Based Treatment
    Yeoree Yang, Jeong-Ah Shin, Hae Kyung Yang, Seung-Hwan Lee, Seung-Hyun Ko, Yu-Bae Ahn, Kun-Ho Yoon, Jae-Hyoung Cho
    Diabetes & Metabolism Journal.2016; 40(6): 454.     CrossRef
  • Health inequalities in hypertension and diabetes management among the poor in urban areas: a population survey analysis in south Korea
    Young-Jee Jeon, Chung Reen Kim, Joo-Sung Park, Kyung-Hyun Choi, Myoung Joo Kang, Seung Guk Park, Young-Jin Park
    BMC Public Health.2016;[Epub]     CrossRef
  • Prediction of Diabetes Remission in Morbidly Obese Patients After Roux-en-Y Gastric Bypass
    Ji Yeon Park, Yong Jin Kim
    Obesity Surgery.2016; 26(4): 749.     CrossRef
  • Inhibition of advanced glycation end product formation by burdock root extract
    Darye Lee, Choon Young Kim
    Journal of Nutrition and Health.2016; 49(4): 233.     CrossRef
  • Diabetes in Asians
    Eun-Jung Rhee
    Endocrinology and Metabolism.2015; 30(3): 263.     CrossRef
  • Insulin Initiation in Insulin-Naïve Korean Type 2 Diabetic Patients Inadequately Controlled on Oral Antidiabetic Drugs in Real-World Practice: The Modality of Insulin Treatment Evaluation Study
    Sang Soo Kim, In Joo Kim, Yong Ki Kim, Kun Ho Yoon, Ho Young Son, Sung Woo Park, Yeon Ah Sung, Hong Sun Baek
    Diabetes & Metabolism Journal.2015; 39(6): 481.     CrossRef
  • Current status of glucose, blood pressure and lipid management in type 2 diabetes clinic attendees in Isfahan, Iran
    Mohsen Janghorbani, Bahman Papi, Masoud Amini
    Journal of Diabetes Investigation.2015; 6(6): 716.     CrossRef
  • Trends in the Diabetes Epidemic in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    Endocrinology and Metabolism.2015; 30(2): 142.     CrossRef
  • The Side Effects of Sodium Glucose Cotransporter 2 (SGLT2) Inhibitor
    Won Jin Kim, Sang Soo Kim
    The Journal of Korean Diabetes.2014; 15(3): 158.     CrossRef
  • It's Still Not Too Late to Make a Change: Current Status of Glycemic Control in Korea
    Sang Yong Kim
    Diabetes & Metabolism Journal.2014; 38(3): 194.     CrossRef
  • Association between Diabetes Education Status and Clinical Outcomes of Patients with Diabetes Mellitus: Analysis of the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V)
    Jun Sung Kwon, Won Jun Kim, Yang Hee Han, Hyun Joong Kim, Sa Young Shin, Kyoo Ho Choi, Jae Hyuck Jun, Myoung Sook Shim, Jin Yeob Kim
    The Journal of Korean Diabetes.2014; 15(4): 236.     CrossRef
Prevalence and Determinants of Diabetic Nephropathy in Korea: Korea National Health and Nutrition Examination Survey
Jae Hee Ahn, Ji Hee Yu, Seung-Hyun Ko, Hyuk-Sang Kwon, Dae Jung Kim, Jae Hyeon Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Kyungdo Han, Bong-Yun Cha, Nan Hee Kim
Diabetes Metab J. 2014;38(2):109-119.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.109
  • 6,193 View
  • 107 Download
  • 59 Web of Science
  • 59 Crossref
AbstractAbstract PDFPubReader   
Background

Diabetic nephropathy is a leading cause of end stage renal disease and is associated with an increased risk of cardiovascular mortality. It manifests as albuminuria or impaired glomerular filtration rate (GFR), and the prevalence of diabetic nephropathy varies with ethnicity. The prevalence of diabetic nephropathy and its determinants in Korean adults have not previously been studied at the national level. This cross-sectional study was undertaken to ascertain the prevalence and determinants of albuminuria and chronic kidney disease (CKD) in Korean patients with diabetes.

Methods

The Korea National Health and Nutrition Examination Survey (KNHANES) V, conducted in 2011, was used to define albuminuria (n=4,652), and the dataset of KNHANES IV-V (2008-2011) was used to define CKD (n=21,521). Selected samples were weighted to represent the entire civilian population in Korea. Albuminuria was defined as a spot urine albumin/creatinine ratio >30 mg/g. CKD was defined as a GFR <60 mL/min/1.73 m2.

Results

Among subjects with diabetes, 26.7% had albuminuria, and 8.6% had CKD. Diabetes was associated with an approximate 2.5-fold increased risk of albuminuria, with virtually no difference between new-onset and previously diagnosed diabetes. Only systolic blood pressure was significantly associated with albuminuria, and old age, high serum triglyceride levels, and previous cardiovascular disease (CVD) were related with CKD in subjects with diabetes.

Conclusion

Korean subjects with diabetes had a higher prevalence of albuminuria and CKD than those without diabetes. Blood pressure was associated with albuminuria, and age, triglyceride level, and previous CVD were independent determinants of CKD in subjects with diabetes.

Citations

Citations to this article as recorded by  
  • Associations between dietary patterns and renal impairment in individuals with diabetes: a cross‐sectional study
    Ziling Ding, Xingzhe Wu, Chao Liu, Ruixue Ying, Yi Zhang, Shiqi Zhang, Qiu Zhang, Honglin Hu, Fang Dai
    Journal of Human Nutrition and Dietetics.2024; 37(1): 193.     CrossRef
  • Determinants of diabetic nephropathy among adult diabetic patients on follow-up at public hospitals in Addis Ababa, Ethiopia: A case-control study
    Diriba Etana Tola, Zenebu Begna Bayissa, Tamene Abera Desissa, Lencho Kajela Solbana, Azeb Haile Tesfaye, Bikila Fufa Eba
    SAGE Open Medicine.2024;[Epub]     CrossRef
  • Kidney Health Plan 2033 in Korea: bridging the gap between the present and the future
    Do Hyoung Kim, Young Youl Hyun, Jin Joo Cha, Sua Lee, Hyun Kyung Lee, Jong Wook Choi, Su-Hyun Kim, Sang Youb Han, Cheol Whee Park, Eun Young Lee, Dae Ryong Cha, Sung Gyun Kim, Chun Soo Lim, Sun-Hee Park
    Kidney Research and Clinical Practice.2024; 43(1): 8.     CrossRef
  • 2023 Diabetic Kidney Disease Fact Sheet in Korea
    Nam Hoon Kim, Mi-Hae Seo, Jin Hyung Jung, Kyung Do Han, Mi Kyung Kim, Nan Hee Kim
    Diabetes & Metabolism Journal.2024; 48(3): 463.     CrossRef
  • Risk Factors of Microalbuminuria among Patients with Type 2 Diabetes Mellitus in Korea: A Cross-Sectional Study Based on 2019–2020 Korea National Health and Nutrition Examination Survey Data
    Eun Sook Bae, Jung Yi Hur, Hyung Soon Jang, Jeong Suk Kim, Hye Seung Kang
    International Journal of Environmental Research and Public Health.2023; 20(5): 4169.     CrossRef
  • CORRELATION OF VASCULAR ENDOTHELIAL FUNCTION AND INFLAMMATORY FACTORS WITH RENAL FUNCTION IN PATIENTS WITH DIABETIC NEPHROPATHY
    A. Y. Mammadzada, Sh. G. Ismayilova, Sh. S. Ibrahimova, N. I. Huseynova, L. A. Huseyn
    World of Medicine and Biology.2023; 19(85): 129.     CrossRef
  • Synopsis of the Korean Society of Nephrology 2023 Practical Recommendations for the Management of Diabetic Kidney Disease
    Sungjin Chung
    The Korean Journal of Medicine.2023; 98(6): 270.     CrossRef
  • 3-Hydroxybutyrate Ameliorates the Progression of Diabetic Nephropathy
    Jeeyoun Jung, Woo Yeong Park, Yun Jin Kim, Mikyung Kim, Misun Choe, Kyubok Jin, Ji Hae Seo, Eunyoung Ha
    Antioxidants.2022; 11(2): 381.     CrossRef
  • Development and Validation of a Model That Predicts the Risk of Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study
    Jing Yang, Sheng Jiang
    International Journal of General Medicine.2022; Volume 15: 5089.     CrossRef
  • Renoprotective Mechanism of Sodium-Glucose Cotransporter 2 Inhibitors: Focusing on Renal Hemodynamics
    Nam Hoon Kim, Nan Hee Kim
    Diabetes & Metabolism Journal.2022; 46(4): 543.     CrossRef
  • Development and assessment of diabetic nephropathy prediction model using hub genes identified by weighted correlation network analysis
    Xuelian Zhang, Yao Wang, Zhaojun Yang, Xiaoping Chen, Jinping Zhang, Xin Wang, Xian Jin, Lili Wu, Xiaoyan Xing, Wenying Yang, Bo Zhang
    Aging.2022; 14(19): 8095.     CrossRef
  • Neutrophil–lymphocyte ratio as an inflammatory biomarker of diabetic nephropathy among type 2 diabetes mellitus patients: A comparative cross-sectional study
    Mesfin Zewude Gurmu, Solomon Genet, Solomon Tebeje Gizaw, Teka Obsa Feyisa, Natesan Gnanasekaran
    SAGE Open Medicine.2022; 10: 205031212211402.     CrossRef
  • Did Sejong the Great have ankylosing spondylitis? The oldest documented case of ankylosing spondylitis
    JiHwan Lee
    International Journal of Rheumatic Diseases.2021; 24(2): 203.     CrossRef
  • Protective effects of klotho on palmitate-induced podocyte injury in diabetic nephropathy
    Jeong Suk Kang, Seung Seob Son, Ji-Hye Lee, Seong Woo Lee, Ah Reum Jeong, Eun Soo Lee, Seung-Kuy Cha, Choon Hee Chung, Eun Young Lee, Partha Mukhopadhyay
    PLOS ONE.2021; 16(4): e0250666.     CrossRef
  • Nomogram for the prediction of diabetic nephropathy risk among patients with type 2 diabetes mellitus based on a questionnaire and biochemical indicators: a retrospective study
    Yuhong Hu, Rong Shi, Ruohui Mo, Fan Hu
    Aging.2020; 12(11): 10317.     CrossRef
  • Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction
    Hee-Sung Ahn, Jong Ho Kim, Hwangkyo Jeong, Jiyoung Yu, Jeonghun Yeom, Sang Heon Song, Sang Soo Kim, In Joo Kim, Kyunggon Kim
    International Journal of Molecular Sciences.2020; 21(12): 4236.     CrossRef
  • Urine E-cadherin: A Marker for Early Detection of Kidney Injury in Diabetic Patients
    Michael Koziolek, Gerhard A. Mueller, Gry H. Dihazi, Klaus Jung, Constanze Altubar, Manuel Wallbach, Ivana Markovic, Dirk Raddatz, Olaf Jahn, Hülya Karaköse, Christof Lenz, Henning Urlaub, Abdelhi Dihazi, Abdellatif El El Meziane, Hassan Dihazi
    Journal of Clinical Medicine.2020; 9(3): 639.     CrossRef
  • Study of serum pentraxin 3 level in patients with diabetic nephropathy
    Alaaeldin Abdelsalam Dawood, Mai Ashraf Kamel, Thoria Ahmed Omar, Ahmed Ahmed Mohammed Agaba
    The Egyptian Journal of Internal Medicine.2020;[Epub]     CrossRef
  • Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting
    Junetae Kim, Sangwon Lee, Eugene Hwang, Kwang Sun Ryu, Hanseok Jeong, Jae Wook Lee, Yul Hwangbo, Kui Son Choi, Hyo Soung Cha
    Journal of Medical Internet Research.2020; 22(12): e18418.     CrossRef
  • Long-term effects of various types of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors on changes in glomerular filtration rate in Korea
    Seo Yeon Baik, Hyunah Kim, So Jung Yang, Tong Min Kim, Seung-Hwan Lee, Jae Hyoung Cho, Hyunyong Lee, Hyeon Woo Yim, Kun-Ho Yoon, Hun-Sung Kim
    Frontiers of Medicine.2019; 13(6): 713.     CrossRef
  • Plasma endoglin in Type2 diabetic patients with nephropathy
    Ahmed S. Doghish, Atef A. Bassyouni, Mohamed H. Mahfouz, Heba G. Abd El-Aziz, Rania Y. Zakaria
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(1): 764.     CrossRef
  • Cigarette smoking as a risk factor for diabetic nephropathy: A systematic review and meta-analysis of prospective cohort studies
    Dan Liao, Liang Ma, Jing Liu, Ping Fu, Noël C. Barengo
    PLOS ONE.2019; 14(2): e0210213.     CrossRef
  • Risk factors for diabetic nephropathy complications in community patients with type 2 diabetes mellitus in Shanghai: Logistic regression and classification tree model analysis
    Jieqiong Lou, Limei Jing, Hui Yang, Fei Qin, Wen Long, Rong Shi
    The International Journal of Health Planning and Management.2019; 34(3): 1013.     CrossRef
  • Predictive Factors for Efficacy of AST-120 Treatment in Diabetic Nephropathy: a Prospective Single-Arm, Open-Label, Multi-Center Study
    You-Cheol Hwang, Se Won Kim, Kyu Yeon Hur, Bong-Soo Cha, In Joo Kim, Tae Sun Park, Sei Hyun Baik, Kun Ho Yoon, Kwan Woo Lee, In Kyu Lee, Moon-Kyu Lee
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease
    Ji Hye Huh, Minyoung Lee, So Young Park, Jae Hyeon Kim, Byung-Wan Lee
    Diabetes & Metabolism Journal.2018; 42(3): 215.     CrossRef
  • Meta‑analysis of the benefit of sitagliptin treatment in patients with type 2 diabetes complicated with incipient nephropathy
    Wei Liu, Jiangyi Yu, Qianhua Yan, Lijuan Wang, Nan Li, Wei Xiong
    Experimental and Therapeutic Medicine.2018;[Epub]     CrossRef
  • MicroRNA‐326‐3p ameliorates high glucose and ox‐LDL‐IC‐ induced fibrotic injury in renal mesangial cells by targeting FcγRIII
    Yiting Wang, Rui Zhang, Junlin Zhang, Fang Liu
    Nephrology.2018; 23(11): 1031.     CrossRef
  • The Global Epidemiology of Diabetes and Kidney Disease
    Digsu N. Koye, Dianna J. Magliano, Robert G. Nelson, Meda E. Pavkov
    Advances in Chronic Kidney Disease.2018; 25(2): 121.     CrossRef
  • Evaluation of the association between the number of natural teeth and anemia among Korean adults using nationally representative data
    Kyungdo Han, Jun‐Beom Park
    Journal of Periodontology.2018; 89(10): 1184.     CrossRef
  • Correlation of vascular endothelial function and coagulation factors with renal function and inflammatory factors in patients with diabetic nephropathy
    Jie Sun, Caiyan Liu
    Experimental and Therapeutic Medicine.2018;[Epub]     CrossRef
  • Cigarette smoking and risk of albuminuria in patients with type 2 diabetes: a systematic review and meta-analysis of observational studies
    Haili Xu, Jinliu Suo, Jing Lian
    International Urology and Nephrology.2018; 50(5): 911.     CrossRef
  • Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
    Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
    Diabetes & Metabolism Journal.2018; 42(5): 415.     CrossRef
  • Association between the number of natural teeth and diabetic retinopathy among type 2 diabetes mellitus
    Su Jeong Song, Kyungdo Han, Seong-su Lee, Jun-Beom Park
    Medicine.2017; 96(47): e8694.     CrossRef
  • Arterial Stiffness Is More Associated with Albuminuria than Decreased Glomerular Filtration Rate in Patients with Type 2 Diabetes Mellitus: The REBOUND Study
    Jong Ho Kim, Sang Soo Kim, In Joo Kim, Bo Hyun Kim, Ja Young Park, Chang Won Lee, Ji Hye Suk, Sun Hae Shin, Sung Pyo Son, Min Chul Kim, Jun Hyeob Ahn, Kwang Jae Lee, Min Jung Kwon, Soon Hee Lee, Jeong Hyun Park
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Determinants of diabetic nephropathy in Ayder Referral Hospital, Northern Ethiopia: A case-control study
    Solomon Hintsa, Lamessa Dube, Mebrahtu Abay, Teklit Angesom, Abdulhalik Workicho, Petter Bjornstad
    PLOS ONE.2017; 12(4): e0173566.     CrossRef
  • Comparison between Atorvastatin and Rosuvastatin in Renal Function Decline among Patients with Diabetes
    Eugene Han, Gyuri Kim, Ji-Yeon Lee, Yong-ho Lee, Beom Seok Kim, Byung-Wan Lee, Bong-Soo Cha, Eun Seok Kang
    Endocrinology and Metabolism.2017; 32(2): 274.     CrossRef
  • Association between underweight and tooth loss among Korean adults
    In-Seok Song, Kyungdo Han, Jae-Jun Ryu, Jun-Beom Park
    Scientific Reports.2017;[Epub]     CrossRef
  • Variability in glycated albumin levels predicts the progression of diabetic nephropathy
    Su Bin Park, Sang Soo Kim, In Joo Kim, Yoon Jeong Nam, Kang Hee Ahn, Jong Ho Kim, Yun Kyung Jeon, Bo Hyun Kim, Sang Heon Song, Ihm Soo Kwak, Eun Kyung Lee, Yong Ki Kim
    Journal of Diabetes and its Complications.2017; 31(6): 1041.     CrossRef
  • Low serum bilirubin level predicts the development of chronic kidney disease in patients with type 2 diabetes mellitus
    Kang Hee Ahn, Sang Soo Kim, Won Jin Kim, Jong Ho Kim, Yun Jeong Nam, Su Bin Park, Yun Kyung Jeon, Bo Hyun Kim, In Joo Kim, Yong Ki Kim
    The Korean Journal of Internal Medicine.2017; 32(5): 875.     CrossRef
  • Periodontitis is associated with diabetic retinopathy in non-obese adults
    Su Jeong Song, Seong-su Lee, Kyungdo Han, Jun-Beom Park
    Endocrine.2017; 56(1): 82.     CrossRef
  • Baseline Cardiovascular Characteristics of Adult Patients with Chronic Kidney Disease from the KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD)
    Hyoungnae Kim, Tae-Hyun Yoo, Kyu Hun Choi, Kook-Hwan Oh, Joongyub Lee, Soo Wan Kim, Tae Hee Kim, Suah Sung, Seung Hyeok Han
    Journal of Korean Medical Science.2017; 32(2): 231.     CrossRef
  • Addition of nonalbumin proteinuria to albuminuria improves prediction of type 2 diabetic nephropathy progression
    Jong Ho Kim, Seo Young Oh, Eun Heui Kim, Min Jin Lee, Yun Kyung Jeon, Bo Hyun Kim, Jin Mi Kim, Yong Ki Kim, Sang Soo Kim, In Joo Kim
    Diabetology & Metabolic Syndrome.2017;[Epub]     CrossRef
  • Smoking and the risk of diabetic nephropathy in patients with type 1 and type 2 diabetes: a meta-analysis of observational studies
    Ning Jiang, Feng Huang, Xiurong Zhang
    Oncotarget.2017; 8(54): 93209.     CrossRef
  • Treatment of diabetic kidney disease: current and future targets
    Mi-Kyung Kim
    The Korean Journal of Internal Medicine.2017; 32(4): 622.     CrossRef
  • Analysis and comparison of the cost-effectiveness of statins according to the baseline low-density lipoprotein cholesterol level in Korea
    Y. J. Jeong, H. Kim, S. J. Baik, T. M. Kim, S. J. Yang, S.-H. Lee, J.-H. Cho, H. Lee, H. W. Yim, I. Y. Choi, K.-H. Yoon, H.-S. Kim
    Journal of Clinical Pharmacy and Therapeutics.2017; 42(3): 292.     CrossRef
  • Mechanistic Insight and Management of Diabetic Nephropathy: Recent Progress and Future Perspective
    Rui Xue, Dingkun Gui, Liyang Zheng, Ruonan Zhai, Feng Wang, Niansong Wang
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Nonalbuminuric Renal Insufficiency: Can It Be a Novel Category of Diabetic Nephropathy?
    Masami Tanaka, Hiroshi Itoh
    Endocrinology and Metabolism.2016; 31(4): 533.     CrossRef
  • Current Challenges in Diabetic Nephropathy: Early Diagnosis and Ways to Improve Outcomes
    Sang Soo Kim, Jong Ho Kim, In Joo Kim
    Endocrinology and Metabolism.2016; 31(2): 245.     CrossRef
  • Functional mechanisms for diabetic nephropathy-associated genetic variants
    Chengxin Gong, Yonghu Xu, Yongfang Fan, Xingzi Liu, Chaopeng Xiong, Luling He, Changle Liu, Shenqiang Rao, Wen Xiao, Lu Ding, Lan Tang, Fangfang Hu, Mengqi Xiong, Mei Yang, Shangdong Liang, Hong Xu
    Genes & Genomics.2016; 38(7): 595.     CrossRef
  • Factors Influencing Intention to Receive Examination of Diabetes Complications
    Yi-Lin Hsieh, Fang-Hsin Lee, Chien-Liang Chen, Ming-Fong Chang, Pei-Hsuan Han
    Asian Nursing Research.2016; 10(4): 289.     CrossRef
  • Associations between the number of natural teeth and renal dysfunction
    Hye Min Choi, Kyungdo Han, Yong Gyu Park, Jun-Beom Park
    Medicine.2016; 95(34): e4681.     CrossRef
  • Decreased plasma α-Klotho predict progression of nephropathy with type 2 diabetic patients
    Sang Soo Kim, Sang Heon Song, In Joo Kim, Eun Young Lee, Su Mi Lee, Choon Hee Chung, Ihm Soo Kwak, Eun Kyung Lee, Yong Ki Kim
    Journal of Diabetes and its Complications.2016; 30(5): 887.     CrossRef
  • The Association Between Smoking Tobacco After a Diagnosis of Diabetes and the Prevalence of Diabetic Nephropathy in the Korean Male Population
    Hyungseon Yeom, Jung Hyun Lee, Hyeon Chang Kim, Il Suh
    Journal of Preventive Medicine and Public Health.2016; 49(2): 108.     CrossRef
  • Effects of Small Dense LDL in Diabetic Nephropathy in Females with Type 2 Diabetes Mellitus
    Seongyul Ryu, Youngwoo Kim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Hyun Baek, Ki-Ho Song, Kyung-Jin Yun
    Journal of Lipid and Atherosclerosis.2016; 5(1): 11.     CrossRef
  • Translational genomics for human diseases: toward a new era of precision medicine
    Yoon Shin Cho, Ki Wha Chung, Nam-Soo Kim
    Genes & Genomics.2016; 38(7): 573.     CrossRef
  • Lipoprotein(a) predicts a new onset of chronic kidney disease in people with Type 2 diabetes mellitus
    J.‐S. Yun, Y.‐B. Ahn, K.‐H. Song, K.‐D. Yoo, Y.‐M. Park, H.‐W. Kim, S.‐H. Ko
    Diabetic Medicine.2016; 33(5): 639.     CrossRef
  • The association between abnormal heart rate variability and new onset of chronic kidney disease in patients with type 2 diabetes: A ten-year follow-up study
    Jae-Seung Yun, Yu-Bae Ahn, Ki-Ho Song, Ki-Dong Yoo, Hyung-Wook Kim, Yong-Moon Park, Seung-Hyun Ko
    Diabetes Research and Clinical Practice.2015; 108(1): 31.     CrossRef
  • Central obesity is an independent risk factor for microalbuminuria in both the general Korean women and nondiabetic nonhypertensive subpopulation: Association of microalbuminuria and metabolic syndrome from the Korea National Health and Nutrition Examinat
    John Hoon Rim, Yong-ho Lee, Bong-Soo Cha, Sang-Guk Lee, Jeong-Ho Kim
    Clinica Chimica Acta.2015; 448: 74.     CrossRef
  • Diabetic Kidney Disease: From Epidemiology to Clinical Perspectives
    Cheol Whee Park
    Diabetes & Metabolism Journal.2014; 38(4): 252.     CrossRef
A Randomized Controlled Trial of an Internet-Based Mentoring Program for Type 1 Diabetes Patients with Inadequate Glycemic Control
Sunghwan Suh, Cheol Jean, Mihyun Koo, Sun Young Lee, Min Ja Cho, Kang-Hee Sim, Sang-Man Jin, Ji Cheol Bae, Jae Hyeon Kim
Diabetes Metab J. 2014;38(2):134-142.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.134
  • 5,734 View
  • 56 Download
  • 22 Web of Science
  • 20 Crossref
AbstractAbstract PDFPubReader   
Background

To determine whether an internet-based mentoring program can improve glycemic control in subjects with type 1 diabetes mellitus (T1DM).

Methods

Subjects with T1DM on intensive insulin therapy and with hemoglobin A1c (HbA1c) ≥8.0% were randomized to mentored (glucometer transmission with feedback from mentors) or control (glucometer transmission without feedback) groups and were examined for 12 weeks. Five mentors were interviewed and selected, of which two were T1DM patients themselves and three were parents with at least one child diagnosed with T1DM since more than 5 years ago.

Results

A total of 57 T1DM adult subjects with a mean duration after being diagnosed with diabetes of 7.4 years were recruited from Samsung Medical Center. Unfortunately, the mentored group failed to show significant improvements in HbA1c levels or other outcomes, including the quality of life, after completion of the study. However, the mentored group monitored their blood glucose (1.41 vs. 0.30) and logged into our website (http://ubisens.co.kr/) more frequently (20.59 times vs. 5.07 times) than the control group.

Conclusion

A 12-week internet-based mentoring program for T1DM patients with inadequate glycemic control did not prove to be superior to the usual follow-up. However, the noted increase in the subjects' frequency of blood glucose monitoring may lead to clinical benefits.

Citations

Citations to this article as recorded by  
  • The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management: A Systematic Review and Meta-analysis
    Flemming Witt Udsen, Stine Hangaard, Clara Bender, Jonas Andersen, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Sisse Laursen
    Journal of Diabetes Science and Technology.2023; 17(3): 782.     CrossRef
  • Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes
    Kristin J Konnyu, Sharlini Yogasingam, Johanie Lépine, Katrina Sullivan, Mostafa Alabousi, Alun Edwards, Michael Hillmer, Sathya Karunananthan, John N Lavis, Stefanie Linklater, Braden J Manns, David Moher, Sameh Mortazhejri, Samir Nazarali, P. Alison Pap
    Cochrane Database of Systematic Reviews.2023;[Epub]     CrossRef
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Evaluation of nurse‐led social media intervention for diabetes self‐management: A mixed‐method study
    Su Hyun Kim, Younghee Kim, Sookyung Choi, Bomin Jeon
    Journal of Nursing Scholarship.2022; 54(5): 569.     CrossRef
  • ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes in adolescence
    John W. Gregory, Fergus J. Cameron, Kriti Joshi, Mirjam Eiswirth, Christopher Garrett, Katharine Garvey, Shivani Agarwal, Ethel Codner
    Pediatric Diabetes.2022; 23(7): 857.     CrossRef
  • Diabetes Self-Management Education and Support to Improve Outcomes for Children and Young Adults With Type 1 Diabetes: An Umbrella Review of Systematic Reviews
    Latika Rohilla, Sukhpal Kaur, Mona Duggal, Prahbhjot Malhi, Bhavneet Bharti, Devi Dayal
    The Science of Diabetes Self-Management and Care.2021; 47(5): 332.     CrossRef
  • Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis
    María Begoña Martos-Cabrera, Almudena Velando-Soriano, Laura Pradas-Hernández, Nora Suleiman-Martos, Guillermo A. Cañadas-De la Fuente, Luis Albendín-García, José L. Gómez-Urquiza
    Journal of Clinical Medicine.2020; 9(3): 693.     CrossRef
  • Are We Ready to Treat Our Diabetes Patients Using Social Media? Yes, We Are
    Goran Petrovski, Marija Zivkovic
    Journal of Diabetes Science and Technology.2019; 13(2): 171.     CrossRef
  • Clinical Effectiveness of Telemedicine in Diabetes Mellitus: A Meta-Analysis of 42 Randomized Controlled Trials
    Huidi Tchero, Pauline Kangambega, Christine Briatte, Solenne Brunet-Houdard, Gerald-Reparate Retali, Emmanuel Rusch
    Telemedicine and e-Health.2019; 25(7): 569.     CrossRef
  • Distal technologies and type 1 diabetes management
    Danny C Duke, Samantha Barry, David V Wagner, Jane Speight, Pratik Choudhary, Michael A Harris
    The Lancet Diabetes & Endocrinology.2018; 6(2): 143.     CrossRef
  • Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study
    Yiyu Zhang, Xia Li, Shuoming Luo, Chaoyuan Liu, Fang Liu, Zhiguang Zhou
    JMIR mHealth and uHealth.2018; 6(9): e11400.     CrossRef
  • An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial
    Gyuri Kim, Ji Cheol Bae, Byoung Kee Yi, Kyu Yeon Hur, Dong Kyung Chang, Moon-Kyu Lee, Jae Hyeon Kim, Sang-Man Jin
    BMC Medical Informatics and Decision Making.2017;[Epub]     CrossRef
  • Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies
    Shaun W. H. Lee, Leanne Ooi, Yin K. Lai
    Frontiers in Pharmacology.2017;[Epub]     CrossRef
  • Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials
    Da Tao, Tieyan Wang, Tieshan Wang, Shuang Liu, Xingda Qu
    Journal of the American Medical Informatics Association.2017; 24(5): 1014.     CrossRef
  • Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
    Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
    Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
  • Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies
    Dejun Su, Chelsea McBride, Junmin Zhou, Megan S Kelley
    Journal of Telemedicine and Telecare.2016; 22(6): 333.     CrossRef
  • Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
    Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
    Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
  • Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials
    Dejun Su, Junmin Zhou, Megan S. Kelley, Tzeyu L. Michaud, Mohammad Siahpush, Jungyoon Kim, Fernando Wilson, Jim P. Stimpson, José A. Pagán
    Diabetes Research and Clinical Practice.2016; 116: 136.     CrossRef
  • Adherence to Glycemic Monitoring in Diabetes
    Susana R. Patton
    Journal of Diabetes Science and Technology.2015; 9(3): 668.     CrossRef
  • Internet-Based Mentoring Program for Patients with Type 1 Diabetes
    Sun-Hye Ko, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2014; 38(2): 107.     CrossRef
Prevalence, Awareness, and Management of Obesity in Korea: Data from the Korea National Health and Nutrition Examination Survey (1998-2011)
Chul Sik Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Nan Hee Kim, Jae Hyeon Kim, Soo Lim, Sung Hee Choi, Kee-Ho Song, Jong Chul Won, Dae Jung Kim, Bong-Yun Cha
Diabetes Metab J. 2014;38(1):35-43.   Published online February 19, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.1.35
  • 5,764 View
  • 34 Download
  • 78 Web of Science
  • 84 Crossref
AbstractAbstract PDFPubReader   
Background

Obesity is a risk factor for diabetes and several cardiovascular diseases. This study was to investigate the trends in the prevalence, awareness, and management status of obesity among the Korean population for recent 13 years.

Methods

The prevalence, subjective awareness, and management of obesity were investigated in adults aged ≥19 years by using the data from the Korea National Health and Nutrition Examination Surveys (KNHANES) 1998 to 2011.

Results

The number of participants was 8,117, 5,826, 5,500, 3,025, 6,756, 7,506, 6,255, and 6,155 in the KNHANES in years 1998, 2001, 2005, 2007, 2008, 2009, 2010, and 2011, respectively. The prevalence of obesity was 26.9%, 29.2%, 32.9%, 32.5%, 32.0%, 32.6%, 32.0%, and 32.0% in 1998, 2001, 2005, 2007, 2008, 2009, 2010, and 2011, respectively, while the overall prevalence of obesity and abdominal obesity increased by 1.19-fold and 1.24-fold respectively in 2011 compared against 2001. In general, a gradual increase in the prevalence of severe obesity has been observed as years go by. Furthermore, trends of improvements in obesity awareness and management rates were visible over the period of surveys.

Conclusion

Although the management status of obesity has improved during the recent years, more effective strategy to control obesity is needed.

Citations

Citations to this article as recorded by  
  • Mediators of the Effect of Obesity on Stroke and Heart Disease Risk: Decomposing Direct and Indirect Effects
    Yongho Jee, Mikyung Ryu, In Sun Ryou, Joung Hwan Back, Sung-il Cho, Seung Sik Hwang
    Journal of Epidemiology.2023; 33(10): 514.     CrossRef
  • Hormonal Gut–Brain Signaling for the Treatment of Obesity
    Eun Roh, Kyung Mook Choi
    International Journal of Molecular Sciences.2023; 24(4): 3384.     CrossRef
  • Weight-Adjusted-Waist Index Predicts Newly Diagnosed Diabetes in Chinese Rural Adults
    Shasha Yu, Bo Wang, Xiaofan Guo, Guangxiao Li, Hongmei Yang, Yingxian Sun
    Journal of Clinical Medicine.2023; 12(4): 1620.     CrossRef
  • Impact of abdominal obesity on the risk of glioma development in patients with diabetes: A nationwide population-based cohort study in Korea
    Hyunji Sang, Yun Kyung Cho, Kyungdo Han, Eun Hee Koh, Sandar Tin Tin
    PLOS ONE.2023; 18(3): e0283023.     CrossRef
  • Association of Obesity and Incidence of Third, Fourth, and Sixth Cranial Nerve Palsies
    Daye Diana Choi, Kyungdo Han, Kyung-Ah Park, Sei Yeul Oh
    American Journal of Ophthalmology.2022; 235: 258.     CrossRef
  • Chronological trends in patients undergoing cholecystectomy in Korea: a nationwide health insurance claims study
    Chul Hyo Jeon, Jinwook Hong, Jaehun Jung, Jong Youn Moon, Ho Seok Seo
    Annals of Surgical Treatment and Research.2022; 102(4): 205.     CrossRef
  • Non-alcoholic fatty liver disease and sarcopenia is associated with the risk of albuminuria independent of insulin resistance, and obesity
    Eugene Han, Mi Kyung Kim, Seung-Soon Im, Byoung Kuk Jang, Hye Soon Kim
    Journal of Diabetes and its Complications.2022; 36(8): 108253.     CrossRef
  • Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
    Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Trends and Inequalities in Overall and Abdominal Obesity by Sociodemographic Factors in Korean Adults, 1998–2018
    Ha-Jin Jang, Hannah Oh
    International Journal of Environmental Research and Public Health.2021; 18(8): 4162.     CrossRef
  • Trends of age‐related non‐communicable diseases in people living with HIV and comparison with uninfected controls: A nationwide population‐based study in South Korea
    Jung Ho Kim, Juhwan Noh, Woojin Kim, Hye Seong, Jun Hyoung Kim, Woon Ji Lee, YaeJee Baek, JongHoon Hyun, Yujin Sohn, Yunsuk Cho, Moo Hyun Kim, SangMin Ahn, Yongseop Lee, Jin Young Ahn, Su Jin Jeong, Nam Su Ku, Joon‐Sup Yeom, Changsoo Kim, Jun Yong Choi
    HIV Medicine.2021; 22(9): 824.     CrossRef
  • Comparative Observation of Body Mass Index among Adults in Korea and Japan
    Myeong-Jin Lee, Young-Hoon Chae, Won-Chang Lee, Young Hwan Kwon
    The Korean Journal of Aerospace and Environmental Medicine.2021; 31(2): 45.     CrossRef
  • Effect of Bariatric Surgery on Urinary Incontinence in Obese Women: A Meta-analysis and Systematic Review
    Jindong Zhang, Liang Gao, Maoyu Liu, Chuan Liu
    Female Pelvic Medicine & Reconstructive Surgery.2020; 26(3): 207.     CrossRef
  • Perceptions, Attitudes, Behaviors, and Barriers to Effective Obesity Care in South Korea: Results from the ACTION-IO Study
    Soo Lim, Bumjo Oh, Seung-Hwan Lee, Yang-Hyun Kim, Yousun Ha, Jae-Heon Kang
    Journal of Obesity & Metabolic Syndrome.2020; 29(2): 133.     CrossRef
  • The Prevalence and Incidence of Insomnia in Korea during 2005 to 2013
    Seockhoon Chung, Seung Woo Cho, Min-Woo Jo, Soyoung Youn, Jiho Lee, Chang Sun Sim
    Psychiatry Investigation.2020; 17(6): 533.     CrossRef
  • Relationship between sleep and obesity among U.S. and South Korean college students
    Jaesin Sa, Siyoung Choe, Beom-young Cho, Jean-Philippe Chaput, Gyurin Kim, Chae-Hee Park, Joon Chung, Yoojin Choi, Beatrice Nelson, Yongkyu Kim
    BMC Public Health.2020;[Epub]     CrossRef
  • Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis
    Qi Huang, Guoxiong Deng, Rongguo Wei, Qiaoye Wang, Donghua Zou, Jinru Wei
    Frontiers in Cardiovascular Medicine.2020;[Epub]     CrossRef
  • Self-perceptions of body weight status according to age-groups among Korean women: A nationwide population-based survey
    Boyoung Park, Ha Na Cho, Eunji Choi, Da Hea Seo, Sue Kim, Yeong-Ran Park, Kui Son Choi, Yumie Rhee, Yongjoo Kim
    PLOS ONE.2019; 14(1): e0210486.     CrossRef
  • Big data and analysis of risk factors for gallbladder disease in the young generation of Korea
    Hyung Sun Kim, Seong Kyung Cho, Chang Soo Kim, Joon Seong Park, David Meyre
    PLOS ONE.2019; 14(2): e0211480.     CrossRef
  • Ecological Factors Affecting Obesity Among Middle School Students in South Korea
    Suhee Kim, Gwang Suk Kim
    Journal of School Health.2019; 89(3): 181.     CrossRef
  • Prevalence and Perception of Obesity Among Sub-Saharan Africans in Korea
    Ijeoma Alaeze, Maxine Newell, Mieun Yun, Sungsoo Chun
    Journal of Immigrant and Minority Health.2019; 21(3): 555.     CrossRef
  • Body weight perception, disordered weight control behaviors, and depressive symptoms among Korean adults: The Korea National Health and Nutrition Examination Survey 2014
    Yongjoo Kim, S. Bryn Austin, S. V. Subramanian, Ichiro Kawachi, Chung-Ying Lin
    PLOS ONE.2018; 13(6): e0198841.     CrossRef
  • Trends and Cut-Point Changes in Obesity Parameters by Age Groups Considering Metabolic Syndrome
    Hyung Jun Park, Young Ho Hong, Yun Jung Cho, Ji Eun Lee, Jae Moon Yun, Hyuktae Kwon, Sang Hyuck Kim
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • Fifty Years of Compassionate Care and Harmonious Collaboration of the Korean Diabetes Association: The 50th Anniversary of Korean Diabetes Association
    Jong Chul Won, Eun-Jung Rhee, Hyung Joon Yoo
    Diabetes & Metabolism Journal.2018; 42(6): 475.     CrossRef
  • The Cardiometabolic Burden of Self-Perceived Obesity: A Multilevel Analysis of a Nationally Representative Sample of Korean Adults
    Yongjoo Kim, S. Bryn Austin, S V Subramanian, Ichiro Kawachi
    Scientific Reports.2018;[Epub]     CrossRef
  • Characteristics of Dapagliflozin Responders: A Longitudinal, Prospective, Nationwide Dapagliflozin Surveillance Study in Korea
    Eugene Han, Ari Kim, Sung Jae Lee, Je-Yon Kim, Jae Hyeon Kim, Woo Je Lee, Byung-Wan Lee
    Diabetes Therapy.2018; 9(4): 1689.     CrossRef
  • A novel adiposity index as an integrated predictor of cardiometabolic disease morbidity and mortality
    Yousung Park, Nam Hoon Kim, Tae Yeon Kwon, Sin Gon Kim
    Scientific Reports.2018;[Epub]     CrossRef
  • The Effects of Weight Control Behaviors among Korean Obese Adults
    Li-Ly Kang, Ha-Nui Kim, Young-Ah Jung, Hwan-Sik Hwang, Hoon-Ki Park, Kye-Yeung Park
    Korean Journal of Family Medicine.2018; 39(4): 247.     CrossRef
  • The efficacy and safety of Hanslim for obese patients
    Seunghoon Lee, Hyeonhoon Lee, Yeeun Cho, Jihye Kim, Jung Won Kang, Byung-Kwan Seo, Yong-Hyeon Baek, Jae-Dong Lee
    Medicine.2018; 97(38): e12440.     CrossRef
  • Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
    Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
    Diabetes & Metabolism Journal.2018; 42(5): 415.     CrossRef
  • Importance of Active Participation in Obesity Management Through Mobile Health Care Programs: Substudy of a Randomized Controlled Trial
    Bumjo Oh, Ga-Hye Yi, Min Kyu Han, Jong Seung Kim, Chang Hee Lee, Belong Cho, Hee Cheol Kang
    JMIR mHealth and uHealth.2018; 6(1): e2.     CrossRef
  • Independent Association of Serum Aldosterone Level with Metabolic Syndrome and Insulin Resistance in Korean Adults
    Se Hee Min, Se-Hong Kim, In-Kyung Jeong, Ho Chan Cho, Jin-Ok Jeong, Ju-Hee Lee, Hyun-Jae Kang, Hyo Soo Kim, Kyong Soo Park, Soo Lim
    Korean Circulation Journal.2018; 48(3): 198.     CrossRef
  • The effects of abdominal interferential current therapy on waist circumference and visceral fat distance in obese women
    Young-Han Park, Jung-Ho Lee
    Journal of Physical Therapy Science.2017; 29(9): 1680.     CrossRef
  • Sex differences in prevalence and risk factors of asymptomatic cholelithiasis in Korean health screening examinee
    Sung Bum Kim, Kook Hyun Kim, Tae Nyeun Kim, Jun Heo, Min Kyu Jung, Chang Min Cho, Yoon Suk Lee, Kwang Bum Cho, Dong Wook Lee, Ji Min Han, Ho Gak Kim, Hyun Soo Kim
    Medicine.2017; 96(13): e6477.     CrossRef
  • Endoscopic Approach for Major Complications of Bariatric Surgery
    Moon Kyung Joo
    Clinical Endoscopy.2017; 50(1): 31.     CrossRef
  • Effectiveness of a Smartphone Application for the Management of Metabolic Syndrome Components Focusing on Weight Loss: A Preliminary Study
    Tatiana Toro-Ramos, Dong-Hwa Lee, Youngin Kim, Andreas Michaelides, Tae Jung Oh, Kyoung Min Kim, Hak Chul Jang, Soo Lim
    Metabolic Syndrome and Related Disorders.2017; 15(9): 465.     CrossRef
  • Differential association between sarcopenia and metabolic phenotype in Korean young and older adults with and without obesity
    You‐Cheol Hwang, In‐Jin Cho, In‐Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
    Obesity.2017; 25(1): 244.     CrossRef
  • Overweightness, obesity and arterial stiffness in healthy subjects: a systematic review and meta-analysis of literature studies
    Ping Li, Lei Wang, Chao Liu
    Postgraduate Medicine.2017; 129(2): 224.     CrossRef
  • Effectiveness and safety of exenatide in Korean patients with type 2 diabetes inadequately controlled with oral hypoglycemic agents: an observational study in a real clinical practice
    You-Cheol Hwang, Ari Kim, Euna Jo, Yeoree Yang, Jae-Hyoung Cho, Byung-Wan Lee
    BMC Endocrine Disorders.2017;[Epub]     CrossRef
  • Exenatide versus Insulin Lispro Added to Basal Insulin in a Subgroup of Korean Patients with Type 2 Diabetes Mellitus
    Kun-Ho Yoon, Elise Hardy, Jenny Han
    Diabetes & Metabolism Journal.2017; 41(1): 69.     CrossRef
  • Serum Chemerin Levels are Associated with Visceral Adiposity, Independent of Waist Circumference, in Newly Diagnosed Type 2 Diabetic Subjects
    Dae Young Cheon, Jun Goo Kang, Seong Jin Lee, Sung Hee Ihm, Eun Jig Lee, Moon Gi Choi, Hyung Joon Yoo, Chul Sik Kim
    Yonsei Medical Journal.2017; 58(2): 319.     CrossRef
  • Prevalence and severity of coronary artery calcification based on the epidemiologic pattern: A propensity matched comparison of asymptomatic Korean and Chinese adults
    Donghee Han, Yang Gao, Bríain ó Hartaigh, Heidi Gransar, Ji Hyun Lee, Asim Rizvi, Su-Yeon Choi, Eun Ju Chun, Jidong Sung, Hae-Won Han, Sung Hak Park, James K. Min, Bin Lu, Hyuk-Jae Chang
    International Journal of Cardiology.2017; 230: 353.     CrossRef
  • Improvement of voiding characteristics in morbidly obese women after bariatric surgery: A single-center study with a 1-year follow-up
    Jae Heon Kim, Hwa Yeon Sun, Hyun Young Lee, Min Ju Soh, Suyeon Park, Yong Jin Kim, Yun Seob Song
    Surgery for Obesity and Related Diseases.2017; 13(5): 836.     CrossRef
  • The association of body mass index with outcomes and targeted temperature management practice in cardiac arrest survivors
    Yong Hun Jung, Byung Kook Lee, Dong Hun Lee, Sung Min Lee, Yong Soo Cho, Kyung Woon Jeung
    The American Journal of Emergency Medicine.2017; 35(2): 268.     CrossRef
  • Breast milk fatty acid composition and fatty acid intake of lactating mothers in South Korea
    Hyesook Kim, Sujeong Kang, Byung-Moon Jung, Hyunju Yi, Ji A. Jung, Namsoo Chang
    British Journal of Nutrition.2017; 117(4): 556.     CrossRef
  • Central Obesity as a Risk Factor for Non-Erosive Reflux Disease
    Ki Ju Kim, Ban Seok Lee
    Yonsei Medical Journal.2017; 58(4): 743.     CrossRef
  • Prevalence of abdominal obesity among Chinese adults in 2011
    Pei Du, Hui-Jun Wang, Bing Zhang, Su-Fen Qi, Ying-Jun Mi, Dian-Wu Liu, Qing-Bao Tian
    Journal of Epidemiology.2017; 27(6): 282.     CrossRef
  • Association Between Obesity and Chronic Kidney Disease, Defined by Both Glomerular Filtration Rate and Albuminuria, in Korean Adults
    Yoon Ji Kim, Seun Deuk Hwang, Tae Jung Oh, Kyoung Min Kim, Hak Chul Jang, Heejin Kimm, Hyeon Chang Kim, Sun Ha Jee, Soo Lim
    Metabolic Syndrome and Related Disorders.2017; 15(8): 416.     CrossRef
  • Long-term Oncologic Outcomes of Obesity after Laparoscopic Surgery for Colorectal Cancer in Asian Patients
    Jung Hak Kwak, Ji Won Park, Byung Kwan Park, Eon Chul Han, Jeong-Ki Kim, Yoon-Hye Kwon, Seung-Bum Ryoo, Seung-Yong Jeong, Kyu Joo Park
    The Journal of Minimally Invasive Surgery.2016; 19(4): 148.     CrossRef
  • Effects of Activity-Based Personalized Nutrition Education on Dietary Behaviors and Blood Parameters in Middle-Aged and Older Type 2 Diabetes Korean Outpatients
    Seung Hye Yang, Hye-Kyung Chung, Seung-Min Lee
    Clinical Nutrition Research.2016; 5(4): 237.     CrossRef
  • Mediterranean diet and mortality risk in metabolically healthy obese and metabolically unhealthy obese phenotypes
    Y-M Park, S E Steck, T T Fung, J Zhang, L J Hazlett, K Han, A T Merchant
    International Journal of Obesity.2016; 40(10): 1541.     CrossRef
  • A genetic variant in GLP1R is associated with response to DPP-4 inhibitors in patients with type 2 diabetes
    Eugene Han, Hye Sun Park, Obin Kwon, Eun Yeong Choe, Hye Jin Wang, Yong-ho Lee, Sang-Hak Lee, Chul Hoon Kim, Lee-Kyung Kim, Soo Heon Kwak, Kyong Soo Park, Chul Sik Kim, Eun Seok Kang
    Medicine.2016; 95(44): e5155.     CrossRef
  • Life-threatening late complication after laparoscopic adjustable gastric banding: two cases of gastric necrosis
    Eun Young Kim, Yong Jin Kim
    Surgery for Obesity and Related Diseases.2016; 12(1): e5.     CrossRef
  • Does bariatric surgery really prevent deterioration of renal function?
    Eun Young Kim, Yong Jin Kim
    Surgery for Obesity and Related Diseases.2016; 12(4): 856.     CrossRef
  • Are We in the Same Risk of Diabetes Mellitus? Gender- and Age-Specific Epidemiology of Diabetes in 2001 to 2014 in the Korean Population
    Bo Kyung Koo, Min Kyong Moon
    Diabetes & Metabolism Journal.2016; 40(3): 175.     CrossRef
  • Comparison of Vildagliptin and Pioglitazone in Korean Patients with Type 2 Diabetes Inadequately Controlled with Metformin
    Jong Ho Kim, Sang Soo Kim, Hong Sun Baek, In Kyu Lee, Dong Jin Chung, Ho Sang Sohn, Hak Yeon Bae, Mi Kyung Kim, Jeong Hyun Park, Young Sik Choi, Young Il Kim, Jong Ryeal Hahm, Chang Won Lee, Sung Rae Jo, Mi Kyung Park, Kwang Jae Lee, In Joo Kim
    Diabetes & Metabolism Journal.2016; 40(3): 230.     CrossRef
  • Different effect of alcohol consumption on hypertension according to metabolic health status
    H K Yang, K Han, Y-M Park, H-S Kwon, K-H Yoon, S-H Lee
    Journal of Human Hypertension.2016; 30(10): 591.     CrossRef
  • Waist–hip ratio and 1-year clinical outcome in patients with non-ST-elevation myocardial infarctions
    Hye Won Lee, Taek Jong Hong, Ju Young Hong, Jong Hyun Choi, Bo Won Kim, Jinhee Ahn, Jin Sup Park, Jun-Hyok Oh, Jung Hyun Choi, Han Cheol Lee, Kwang Soo Cha
    Coronary Artery Disease.2016; 27(5): 357.     CrossRef
  • Klinefelter Syndrome and Metabolic Disorder
    Ji Cheol Bae
    Endocrinology and Metabolism.2016; 31(4): 535.     CrossRef
  • Difference between old and young adults in contribution of β‐cell function and sarcopenia in developing diabetes mellitus
    Bo Kyung Koo, Eun Roh, Ye Seul Yang, Min Kyong Moon
    Journal of Diabetes Investigation.2016; 7(2): 233.     CrossRef
  • Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Kyoungil Min, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko, James M Wright
    PLOS ONE.2016; 11(10): e0164807.     CrossRef
  • Obesity and Hyperglycemia in Korean Men with Klinefelter Syndrome: The Korean Endocrine Society Registry
    Seung Jin Han, Kyung-Soo Kim, Wonjin Kim, Jung Hee Kim, Yong-ho Lee, Ji Sun Nam, Ji A Seo, Bu Kyung Kim, Jihyun Lee, Jin Ook Chung, Min-Hee Kim, Tae-Seo Sohn, Han Seok Choi, Seong Bin Hong, Yoon-Sok Chung
    Endocrinology and Metabolism.2016; 31(4): 598.     CrossRef
  • Obesity in Korean Men: Results from the Fourth through Sixth Korean National Health and Nutrition Examination Surveys (2007~2014)
    Yeon Won Park, Kwi Bok Choi, Soon Ki Kim, Dong-Gi Lee, Jun Ho Lee
    The World Journal of Men's Health.2016; 34(2): 129.     CrossRef
  • Cardiovascular Risk Factors in Gastric Cancer Patients Decrease 1 Year After Gastrectomy
    Tae Kyung Ha, Youn Kyoung Seo, Bo Kyeong Kang, Jinho Shin, Eunyoung Ha
    Obesity Surgery.2016; 26(10): 2340.     CrossRef
  • Risk of the Development of Diabetes and Cardiovascular Disease in Metabolically Healthy Obese People
    Nan Hee Kim, Ji A Seo, Hyunjoo Cho, Ji Hye Seo, Ji Hee Yu, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Dong Seop Choi, Chol Shin, Nam Han Cho
    Medicine.2016; 95(15): e3384.     CrossRef
  • Self‐perceived health versus actual cardiovascular disease risks
    Young Ko, Sunjoo Boo
    Japan Journal of Nursing Science.2016; 13(1): 65.     CrossRef
  • Aster spathulifolius Maxim extract reduces body weight and fat mass in obese humans
    In-Jin Cho, Se Young Choung, You-Cheol Hwang, Kyu Jeung Ahn, Ho Yeon Chung, In-Kyung Jeong
    Nutrition Research.2016; 36(7): 671.     CrossRef
  • Acceptability and Feasibility of a Smartphone Application for 5th, 6th Grade Elementary Students to Prevent Childhood Obesity; a Qualitative Study
    Ji-Hye Jung, Young-Gyu Cho, Da-Ye Ji, Jae-Heon Kang
    Korean Journal of Health Promotion.2016; 16(4): 251.     CrossRef
  • Trends in Diabetes Incidence in the Last Decade Based on Korean National Health Insurance Claims Data
    Sun Ok Song, Yong-ho Lee, Dong Wook Kim, Young Duk Song, Joo Young Nam, Kyoung Hye Park, Dae Jung Kim, Seok Won Park, Hyun Chul Lee, Byung-Wan Lee
    Endocrinology and Metabolism.2016; 31(2): 292.     CrossRef
  • Long-term Oncologic Outcomes of Obesity after Laparoscopic Surgery for Colorectal Cancer in Asian Patients
    Se-Jin Baek
    The Journal of Minimally Invasive Surgery.2016; 19(4): 117.     CrossRef
  • School- and Individual-level Predictors of Weight Status Misperception among Korean Adolescents: A National Online Survey
    Yongjoo Kim, Ichiro Kawachi, Martin J Tovée
    PLOS ONE.2016; 11(5): e0154826.     CrossRef
  • Differential Association of Metabolic Risk Factors with Open Angle Glaucoma according to Obesity in a Korean Population
    Hyun-Ah Kim, Kyungdo Han, Yun-Ah Lee, Jin A Choi, Yong-Moon Park
    Scientific Reports.2016;[Epub]     CrossRef
  • New and emerging drugs for the treatment of obesity
    Eun Roh, Min Seon Kim
    Journal of the Korean Medical Association.2015; 58(5): 452.     CrossRef
  • Recent Advances for Anti-Obesity Agents
    Chul Sik Kim
    The Journal of Korean Diabetes.2015; 16(4): 260.     CrossRef
  • Prognostic influence of body mass index and body weight gain during adjuvant FOLFOX chemotherapy in Korean colorectal cancer patients
    Dae-Won Lee, Sae-Won Han, Yongjun Cha, Kyung-Hun Lee, Tae-Yong Kim, Do-Youn Oh, Seock-Ah Im, Yung-Jue Bang, Ji Won Park, Seung-Bum Ryoo, Seung-Yong Jeong, Gyeong Hoon Kang, Kyu Joo Park, Tae-You Kim
    BMC Cancer.2015;[Epub]     CrossRef
  • Plasma Adiponectin Levels in Elderly Patients with Prediabetes
    Si Eun Kong, Yea Eun Kang, Kyong Hye Joung, Ju Hee Lee, Hyun Jin Kim, Bon Jeong Ku
    Endocrinology and Metabolism.2015; 30(3): 326.     CrossRef
  • Identifying subgroups of obesity using the product of triglycerides and glucose: the Korea National Health and Nutrition Examination Survey, 2008–2010
    Seung‐Hwan Lee, Kyungdo Han, Hae Kyung Yang, Mee Kyoung Kim, Kun‐Ho Yoon, Hyuk‐Sang Kwon, Yong‐Moon Park
    Clinical Endocrinology.2015; 82(2): 213.     CrossRef
  • Can increased visceral adiposity without body weight changes accelerate carotid atherosclerosis in South Korean participants with type 2 diabetes?
    Chul Sik Kim, Soo-Kyung Kim, Maria Rosario G. Araneta, Eun Jig Lee, Elizabeth Barrett-Connor, Kab Bum Huh
    Journal of Diabetes and its Complications.2015; 29(8): 1085.     CrossRef
  • A novel criterion for identifying metabolically obese but normal weight individuals using the product of triglycerides and glucose
    S-H Lee, K Han, H K Yang, H-S Kim, J-H Cho, H-S Kwon, Y-M Park, B-Y Cha, K-H Yoon
    Nutrition & Diabetes.2015; 5(4): e149.     CrossRef
  • The Role of Glucagon-Like Peptide-1 Receptor Agonists in Type 2 Diabetes: Understanding How Data Can Inform Clinical Practice in Korea
    Seungjoon Oh, Suk Chon, Kyu Jeong Ahn, In-Kyung Jeong, Byung-Joon Kim, Jun Goo Kang
    Diabetes & Metabolism Journal.2015; 39(3): 177.     CrossRef
  • Quantification of Visceral Fat Using Dual-Energy X-Ray Absorptiometry and Its Reliability According to the Amount of Visceral Fat in Korean Adults
    Yong Jun Choi, Young Kyun Seo, Eun Ju Lee, Yoon-Sok Chung
    Journal of Clinical Densitometry.2015; 18(2): 192.     CrossRef
  • Ambient Temperature and Prevalence of Obesity: A Nationwide Population-Based Study in Korea
    Hae Kyung Yang, Kyungdo Han, Jae-Hyoung Cho, Kun-Ho Yoon, Bong-Yun Cha, Seung-Hwan Lee, David Meyre
    PLOS ONE.2015; 10(11): e0141724.     CrossRef
  • Lower serum zinc levels are associated with unhealthy metabolic status in normal-weight adults: The 2010 Korea National Health and Nutrition Examination Survey
    H.K. Yang, S.H. Lee, K. Han, B. Kang, S.Y. Lee, K.H. Yoon, H.S. Kwon, Y.M. Park
    Diabetes & Metabolism.2015; 41(4): 282.     CrossRef
  • The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial
    Bumjo Oh, Belong Cho, Min Kyu Han, Hochun Choi, Mi Na Lee, Hee-Cheol Kang, Chang Hee Lee, Heeseong Yun, Youngho Kim
    JMIR mHealth and uHealth.2015; 3(3): e83.     CrossRef
  • Current Information and Asian Perspectives on Long-Chain Polyunsaturated Fatty Acids in Pregnancy, Lactation, and Infancy: Systematic Review and Practice Recommendations from an Early Nutrition Academy Workshop
    Berthold Koletzko, Christopher C.M. Boey, Cristina Campoy, Susan E. Carlson, Namsoo Chang, Maria Antonia Guillermo-Tuazon, Sadhana Joshi, Christine Prell, Seng Hock Quak, Damayanti Rusli Sjarif, Yixiang Su, Sarayut Supapannachart, Yuichiro Yamashiro, Sask
    Annals of Nutrition and Metabolism.2014; 65(1): 49.     CrossRef
Higher Prevalence and Awareness, but Lower Control Rate of Hypertension in Patients with Diabetes than General Population: The Fifth Korean National Health and Nutrition Examination Survey in 2011
Seung-Hyun Ko, Hyuk-Sang Kwon, Dae Jung Kim, Jae Hyeon Kim, Nan Hee Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Kyungdo Han, Yong-Moon Park, Bong-Yun Cha
Diabetes Metab J. 2014;38(1):51-57.   Published online February 19, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.1.51
  • 4,408 View
  • 31 Download
  • 28 Web of Science
  • 24 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the prevalence, awareness, treatment, and control rate of hypertension in Korean adults with diabetes using nationally representative data.

Methods

Using data of 5,105 adults from the fifth Korea National Health and Nutrition Examination Survey in 2011 (4,389 nondiabetes mellitus [non-DM]), 242 newly diagnosed with DM (new-DM), and 474 previously diagnosed with DM (known-DM), we analyzed the prevalence of hypertension (mean systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or use of antihypertensive medication) and control rate of hypertension (blood pressure [BP] <130/80 mm Hg).

Results

The prevalence of hypertension in diabetic adults was 54.6% (44.4% in new-DM and 62.6% in known-DM, P<0.0001 and P<0.0001, respectively) compared with non-DM adults (26.2%). Compared to non-DM, awareness (85.7%, P<0.001) and treatment (97.0%, P=0.020) rates were higher in known-DM, whereas no differences were found between new-DM and non-DM. Control rate among all hypertensive subjects was lower in new-DM (14.9%), compared to non-DM (35.1%, P<0.001) and known-DM (33.3%, P=0.004). Control rate among treated subjects was also lower in new-DM (25.2%), compared to non-DM (68.4%, P<0.0001) and known-DM (39.9%, P<0.0001).

Conclusion

Higher prevalence and low control rate of hypertension in adults with diabetes suggest that stringent efforts are needed to control BP in patients with diabetes, particularly in newly diagnosed diabetic patients.

Citations

Citations to this article as recorded by  
  • Comorbidities of diabetes and hypertension in Vietnam: current burden, trends over time, and correlated factors
    Thi Hoang Lan Vu, Thi Tu Quyen Bui, Quoc Bao Tran, Quynh Nga Pham, Duc Truong Lai, Tu Hoang Le, Van Minh Hoang
    BMC Public Health.2023;[Epub]     CrossRef
  • Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
    Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Time Trends in Comorbidity and Management of Hypertension and Self-reported Diabetes: A 15-Year Nationwide Longitudinal Study in China
    Yixuan Li, Xiaomin Sun, Junxiang Wei, Jing Wu, Youfa Wang
    American Journal of Hypertension.2021; 34(8): 810.     CrossRef
  • Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults
    Wenwen Wu, Jie Diao, Jinru Yang, Donghan Sun, Ying Wang, Ziling Ni, Fen Yang, Xiaodong Tan, Ling Li, Li Li, Lanfranco D Elia
    International Journal of Hypertension.2021; 2021: 1.     CrossRef
  • Real-World Effectiveness and Safety of a Single-Pill Combination of Olmesartan/Amlodipine/Hydrochlorothiazide in Korean Patients with Essential Hypertension (RESOLVE): A Large, Observational, Retrospective, Cohort Study
    Sung-Ji Park, Si Jae Rhee
    Advances in Therapy.2020; 37(8): 3500.     CrossRef
  • Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis
    Qi Huang, Guoxiong Deng, Rongguo Wei, Qiaoye Wang, Donghua Zou, Jinru Wei
    Frontiers in Cardiovascular Medicine.2020;[Epub]     CrossRef
  • Risk of hypertension among different metabolic phenotypes: a systematic review and meta-analysis of prospective cohort studies
    Atieh Mirzababaei, Hadis Mozaffari, Sakineh Shab-Bidar, Alireza Milajerdi, Kurosh Djafarian
    Journal of Human Hypertension.2019; 33(5): 365.     CrossRef
  • Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
    Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
    Diabetes & Metabolism Journal.2018; 42(5): 415.     CrossRef
  • Evaluation of an association between long sleep duration and periodontal disease among men and women using nationally representative data
    Kyungdo Han, Yong-Moon Park, Jun-Beom Park
    Gaceta Sanitaria.2018; 32(2): 143.     CrossRef
  • Evaluation of the association between sleep duration and tooth loss among Korean adults: data from the Korean National Health and Nutrition Examination Survey (KNHANES 2012–2014)
    Kyungdo Han, Jun-Beom Park
    BMJ Open.2018; 8(5): e018383.     CrossRef
  • Association between oral health behavior and periodontal disease among Korean adults
    Kyungdo Han, Jun-Beom Park
    Medicine.2017; 96(7): e6176.     CrossRef
  • Age threshold for moderate and severe periodontitis among Korean adults without diabetes mellitus, hypertension, metabolic syndrome, and/or obesity
    Kyungdo Han, Jun-Beom Park
    Medicine.2017; 96(33): e7835.     CrossRef
  • Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea
    Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2016; 40(6): 482.     CrossRef
  • Different effect of alcohol consumption on hypertension according to metabolic health status
    H K Yang, K Han, Y-M Park, H-S Kwon, K-H Yoon, S-H Lee
    Journal of Human Hypertension.2016; 30(10): 591.     CrossRef
  • Differential Association of Metabolic Risk Factors with Open Angle Glaucoma according to Obesity in a Korean Population
    Hyun-Ah Kim, Kyungdo Han, Yun-Ah Lee, Jin A Choi, Yong-Moon Park
    Scientific Reports.2016;[Epub]     CrossRef
  • Low skeletal muscle mass is associated with non-alcoholic fatty liver disease in Korean adults: the Fifth Korea National Health and Nutrition Examination Survey
    Hee Yeon Kim, Chang Wook Kim, Chung-Hwa Park, Jong Young Choi, Kyungdo Han, Anwar T Merchant, Yong-Moon Park
    Hepatobiliary & Pancreatic Diseases International.2016; 15(1): 39.     CrossRef
  • Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Kyoungil Min, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko, James M Wright
    PLOS ONE.2016; 11(10): e0164807.     CrossRef
  • Lipoprotein(a) predicts the development of diabetic retinopathy in people with type 2 diabetes mellitus
    Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A. Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
    Journal of Clinical Lipidology.2016; 10(2): 426.     CrossRef
  • Elevated lipoprotein(a) levels predict cardiovascular disease in type 2 diabetes mellitus: a 10-year prospective cohort study
    Tae-Seok Lim, Jae-Seung Yun, Seon-Ah Cha, Ki-Ho Song, Ki-Dong Yoo, Yu-Bae Ahn, Yong-Moon Park, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2016; 31(6): 1110.     CrossRef
  • The association of incident hypertension with metabolic health and obesity status: definition of metabolic health does not matter
    Yu Mi Kang, Chang Hee Jung, Jung Eun Jang, Jenie Yoonoo Hwang, Eun Hee Kim, Joong‐Yeol Park, Hong‐Kyu Kim, Woo Je Lee
    Clinical Endocrinology.2016; 85(2): 207.     CrossRef
  • The association between abnormal heart rate variability and new onset of chronic kidney disease in patients with type 2 diabetes: A ten-year follow-up study
    Jae-Seung Yun, Yu-Bae Ahn, Ki-Ho Song, Ki-Dong Yoo, Hyung-Wook Kim, Yong-Moon Park, Seung-Hyun Ko
    Diabetes Research and Clinical Practice.2015; 108(1): 31.     CrossRef
  • Obesity as a Potential Risk Factor for Blepharoptosis: The Korea National Health and Nutrition Examination Survey 2008-2010
    Ji-Sun Paik, Su-Kyung Jung, Kyung-Do Han, Sang-Duck Kim, Yong-Moon Park, Suk-Woo Yang, Michele Madigan
    PLOS ONE.2015; 10(7): e0131427.     CrossRef
  • Cost-effectiveness analysis of low density lipoprotein cholesterol-lowering therapy in hypertensive patients with type 2 diabetes in Korea: single-pill regimen (amlodipine/atorvastatin) versus double-pill regimen (amlodipine+atorvastatin)
    Ji-Hyun Park, Yong-Ho Lee, Su-Kyoung Ko, Bong-Soo Cha
    Epidemiology and Health.2015; 37: e2015010.     CrossRef
  • Early Renal Abnormalities as an Indicator of Cardiovascular Risk in Type 2 Diabetes
    Francesca Viazzi, Barbara Bonino, Elena Ratto, Salvatore De Cosmo, Roberto Pontremoli
    High Blood Pressure & Cardiovascular Prevention.2014; 21(4): 257.     CrossRef
Prevalence and Management of Dyslipidemia in Korea: Korea National Health and Nutrition Examination Survey during 1998 to 2010
Eun Roh, Seung-Hyun Ko, Hyuk-Sang Kwon, Nan Hee Kim, Jae Hyeon Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Dae Jung Kim, Sung Hee Choi, Soo Lim, Bong-Yun Cha
Diabetes Metab J. 2013;37(6):433-449.   Published online December 12, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.6.433
  • 5,948 View
  • 44 Download
  • 74 Crossref
AbstractAbstract PDFPubReader   
Background

Dyslipidemia is a major risk factor of cardiovascular disease. The aim of this study was to investigate the changing trends in the prevalence and management status of dyslipidemia among Korean adults.

Methods

The prevalence of dyslipidemia and the rates of awareness, treatment, and control of dyslipidemia were investigated in adults aged ≥20 years from the Korea National Health and Nutrition Surveys (KNHANES) 1998 to 2010. The updated National Cholesterol Education Program criteria was used, which define dyslipidemia as having one or more of the following lipid abnormalities: hypercholesterolemia (total cholesterol ≥240 mg/dL or diagnosis of dyslipidemia or use of lipid-lowering drugs), hypertriglyceridemia (≥150 mg/dL), hyper-low density lipoprotein (LDL) cholesterolemia (≥160 mg/dL or diagnosis of dyslipidemia or use of lipid-lowering drugs), and hypo-high density lipoprotein (HDL)-cholesterolemia (<40 mg/dL in men and <50 mg/dL in women).

Results

The number of participants was 6,921, 4,894, 5,312, 2,733, 6,295, 6,900, and 5,738 in KNHANES 1998, 2001, 2005, 2007, 2008, 2009, and 2010, respectively. Age-standardized prevalence rates of dyslipidemia were 54.0%, 65.8%, 66.5%, 60.6%, 58.7%, 58.9%, and 59.0% in 1998, 2001, 2005, 2007, 2008, 2009, and 2010, respectively. Hypertriglyceridemia and hypo-HDL-cholesterolemia were the two most frequent lipid abnormalities. The overall prevalence of hypercholesterolemia and hyper-LDL-cholesterolemia increased by 1.36- and 1.35-fold in 2010 compared with 2007, respectively. Awareness, treatment, and control rates of dyslipidemia improved over the period of surveys in both sexes. In 2010, about 30% of dyslipidemic patients who received lipid-lowering treatment reached target levels.

Conclusion

Although the management status of dyslipidemia has improved during recent years, effective strategy is required for achieving better prevention, treatment, and control of dyslipidemia.

Citations

Citations to this article as recorded by  
  • SCORE and SCORE2 in East Asian Population
    JungMin Choi, Soseul Sung, Sue K. Park, Seyong Park, Hyoyeong Kim, Myeong-Chan Cho, Bryan Williams, Hae-Young Lee
    JACC: Asia.2024; 4(4): 265.     CrossRef
  • Elevated Risk of Stroke in Young Adults After Traumatic Brain Injury: A Nationwide Study of 1 Million Individuals
    Yoonjeong Choi, Jooeun Jeon, Eun Jin Ha, Chi Kyung Kim, Han Gil Seo, Byung‐Mo Oh, Ja‐Ho Leigh
    Journal of the American Heart Association.2024;[Epub]     CrossRef
  • Statin use and the risk of hepatocellular carcinoma among patients with chronic hepatitis B: an emulated target trial using longitudinal nationwide population cohort data
    Dong Hyun Sinn, Danbee Kang, Yewan Park, Hyunsoo Kim, Yun Soo Hong, Juhee Cho, Geum-Youn Gwak
    BMC Gastroenterology.2023;[Epub]     CrossRef
  • Menopause management: A manual for primary care practitioners and nurse practitioners
    Neelam Aggarwal, Meeta Meeta, Nirja Chawla
    Journal of Mid-life Health.2022; 13(5): 2.     CrossRef
  • New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
    Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(4): 517.     CrossRef
  • Status of dyslipidemia management and statin undertreatment in Korean cancer survivors: A Korean National Health and Nutrition Examination Survey study
    Sujeong Shin, Dong Wook Shin, In Young Cho, Su-Min Jeong, Hyein Jung
    European Journal of Preventive Cardiology.2021; 28(8): 864.     CrossRef
  • Triglyceride glucose (TyG) index as a predictor of incident type 2 diabetes among nonobese adults: a 12-year longitudinal study of the Korean Genome and Epidemiology Study cohort
    Byoungjin Park, Hye Sun Lee, Yong-Jae Lee
    Translational Research.2021; 228: 42.     CrossRef
  • Temporal change in the diagnosis and treatment rates of osteoporosis: results from the Korea National Health and Nutrition Examination Survey
    Y. J. Choi, H.-B. Shin, B. Park, D. J. Kim, Y.-S. Chung
    Osteoporosis International.2021; 32(9): 1777.     CrossRef
  • Hypertriglyceridemia and Other Plasma Lipid Profile Abnormalities among People Living with Diabetes Mellitus in Ethiopia: A Systematic Review and Meta-Analysis
    Baye Dagnew, Yigizie Yeshaw, Demeke Geremew, Dessie Abebaw Angaw, Henok Dagne, Mekuriaw Alemayehu, Meseret Derbew Molla, Yonas Akalu, Carlos R. Bueno Junior
    BioMed Research International.2021; 2021: 1.     CrossRef
  • Triglyceride to HDL-Cholesterol Ratio and the Incident Risk of Ischemic Heart Disease Among Koreans Without Diabetes: A Longitudinal Study Using National Health Insurance Data
    Byoungjin Park, Dong Hyuk Jung, Hye Sun Lee, Yong Jae Lee
    Frontiers in Cardiovascular Medicine.2021;[Epub]     CrossRef
  • Three Musketeers for Lowering Cholesterol: Statins, Ezetimibe and Evolocumab
    Qian Xu, Yiming Deng, Jun Xiao, Xiangrui Liu, Min Zhou, Zhong Ren, Juan Peng, Yaling Tang, Zhisheng Jiang, Zhihan Tang, Lushan Liu
    Current Medicinal Chemistry.2021; 28(5): 1025.     CrossRef
  • Achievement of LDL-C Targets Defined by ESC/EAS (2011) Guidelines in Risk-Stratified Korean Patients with Dyslipidemia Receiving Lipid-Modifying Treatments
    Ye Seul Yang, Seo Young Lee, Jung-Sun Kim, Kyung Mook Choi, Kang Wook Lee, Sang-Chol Lee, Jung Rae Cho, Seung-Jin Oh, Ji-Hyun Kim, Sung Hee Choi
    Endocrinology and Metabolism.2020; 35(2): 367.     CrossRef
  • Statin Use and the Risk of Hepatocellular Carcinoma in Patients With Chronic Hepatitis B
    Myung Ji Goh, Dong Hyun Sinn, Seonwoo Kim, Sook Young Woo, Hyun Cho, Wonseok Kang, Geum‐Youn Gwak, Yong‐Han Paik, Moon Seok Choi, Joon Hyeok Lee, Kwang Cheol Koh, Seung Woon Paik
    Hepatology.2020; 71(6): 2023.     CrossRef
  • Low-density lipoprotein cholesterol goal attainment rates in high-risk patients with cardiovascular diseases and diabetes mellitus in Korea: a retrospective cohort study
    Ye Seul Yang, Bo Ram Yang, Mi-Sook Kim, Yunji Hwang, Sung Hee Choi
    Lipids in Health and Disease.2020;[Epub]     CrossRef
  • Prevalencia de hipertrigliceridemia en adultos y factores cardiometabólicos asociados. Estudio SIMETAP-HTG
    Antonio Ruiz-García, Ezequiel Arranz-Martínez, Beatriz López-Uriarte, Montserrat Rivera-Teijido, David Palacios-Martínez, Gema M. Dávila-Blázquez, Antonio Rosillo-González, José Antonio González-Posada Delgado, José Enrique Mariño-Suárez, Enrique Revilla-
    Clínica e Investigación en Arteriosclerosis.2020; 32(6): 242.     CrossRef
  • The Effect of High Carbohydrate-to-fat Intake Ratios on Hypo-HDL-cholesterolemia Risk and HDL-cholesterol Levels over a 12-year Follow-up
    Hye Ah Lee, Hyoin An
    Scientific Reports.2020;[Epub]     CrossRef
  • Design and rationale of a randomized control trial testing the effectiveness of combined therapy with STAtin plus FENOfibrate and statin alone in non-diabetic, combined dyslipidemia patients with non-intervened intermediate coronary artery disease - STAFE
    Taek-Geun Kwon, Albert Youngwoo Jang, Sang Wook Kim, Young Joon Hong, Jang-Ho Bae, Sung Yun Lee, Sang-Hyun Kim, Seung Hwan Han
    Trials.2020;[Epub]     CrossRef
  • Small-area variation  of cardiovascular diseases and select risk factors and their association to household and area poverty in South Africa: Capturing emerging trends in South Africa to better target local level interventions
    Ntabozuko Dwane, Njeri Wabiri, Samuel Manda, David Watkins
    PLOS ONE.2020; 15(4): e0230564.     CrossRef
  • Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis
    Qi Huang, Guoxiong Deng, Rongguo Wei, Qiaoye Wang, Donghua Zou, Jinru Wei
    Frontiers in Cardiovascular Medicine.2020;[Epub]     CrossRef
  • The triglyceride-glucose index predicts ischemic heart disease risk in Koreans: a prospective study using National Health Insurance Service data
    Byoungjin Park, Yong-Jae Lee, Hye Sun Lee, Dong-Hyuk Jung
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Prevalence of hypertriglyceridemia in adults and related cardiometabolic factors. SIMETAP-HTG study
    Antonio Ruiz-García, Ezequiel Arranz-Martínez, Beatriz López-Uriarte, Montserrat Rivera-Teijido, David Palacios-Martínez, Gema M. Dávila-Blázquez, Antonio Rosillo-González, José Antonio González-Posada Delgado, José Enrique Mariño-Suárez, Enrique Revilla-
    Clínica e Investigación en Arteriosclerosis (English Edition).2020; 32(6): 242.     CrossRef
  • Incident cardiovascular disease and particulate matter air pollution in South Korea using a population-based and nationwide cohort of 0.2 million adults
    Ok-Jin Kim, Soo Hyun Lee, Si-Hyuck Kang, Sun-Young Kim
    Environmental Health.2020;[Epub]     CrossRef
  • The association between low frequency of having breakfast and dyslipidemia in South Korean men and women
    Doo Woong Lee, Dong-Woo Choi, Yeong Jun Ju, Sang Ah Lee, Eun-Cheol Park
    European Journal of Clinical Nutrition.2019; 73(6): 896.     CrossRef
  • Estimated glycemic load (eGL) of mixed meals and its associations with cardiometabolic risk factors among Korean adults: data from the 2013 ~ 2016 Korea National Health and Nutrition Examination Survey
    Kyungho Ha, Kisun Nam, YoonJu Song
    Journal of Nutrition and Health.2019; 52(4): 354.     CrossRef
  • Working hours and nonalcoholic fatty liver disease according to sleep duration
    Hwanjin Park, Soo-Jin Lee
    Chronobiology International.2019; 36(12): 1671.     CrossRef
  • An analysis of the associations between gender and metabolic syndrome components in Korean adults: a national cross-sectional study
    Young-Mo Yang, Byung-Cheul Shin, Chihyoung Son, In-Hyuk Ha
    BMC Endocrine Disorders.2019;[Epub]     CrossRef
  • Time‐ and Dose‐Dependent Association of Statin Use With Risk of Clinically Relevant New‐Onset Diabetes Mellitus in Primary Prevention: A Nationwide Observational Cohort Study
    Min Jung Ko, Ae Jeong Jo, Yun Jung Kim, Shin Hee Kang, Songhee Cho, Sang‐Ho Jo, Cheol‐Young Park, Sung‐Cheol Yun, Woo Je Lee, Duk‐Woo Park
    Journal of the American Heart Association.2019;[Epub]     CrossRef
  • Dyslipidemia associated with body constitution in Traditional Chinese Medicine
    Qiuping Li, Qing Kong, Zihui Tang
    Traditional Medicine and Modern Medicine.2019; 02(02): 59.     CrossRef
  • Effect of Sulgidduk containing pine needle juice on lipid metabolism in high fat-cholesterol diet induced dyslipidemic rats
    Yunjung Lee, Jae-Hee Park, Eunju Park
    Journal of Nutrition and Health.2019; 52(1): 6.     CrossRef
  • Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study
    Jun Namkung, Joon Hyung Sohn, Jae Seung Chang, Sang-Wook Park, Jang-Young Kim, Sang-Baek Koh, In Deok Kong, Kyu-Sang Park
    Diabetes & Metabolism Journal.2019; 43(4): 521.     CrossRef
  • Total cholesterol variability and risk of atrial fibrillation: A nationwide population-based cohort study
    Eun Roh, Hye Soo Chung, Ji Sung Lee, Jung A. Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Hye Jin Yoo, Ji A. Seo, Sin Gon Kim, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi, Stefan Kiechl
    PLOS ONE.2019; 14(4): e0215687.     CrossRef
  • Low Levels of Low-Density Lipoprotein Cholesterol and Mortality Outcomes in Non-Statin Users
    Ki-Chul Sung, Ji Hye Huh, Seungho Ryu, Jong-Young Lee, Eleonora Scorletti, Christopher D Byrne, Jang Young Kim, Dae Sung Hyun, Sang-Baek Ko
    Journal of Clinical Medicine.2019; 8(10): 1571.     CrossRef
  • The differential effects of changes in individual macronutrient intake on changes in lipid concentrations during childhood: From the Ewha Birth & Growth Cohort
    Hye Ah Lee, Hyo Jeong Hwang, Se Young Oh, Eun Ae Park, Su Jin Cho, Hae Soon Kim, Hyesook Park
    Clinical Nutrition.2018; 37(3): 1027.     CrossRef
  • Association between cotinine‐verified smoking status and risk of nonalcoholic fatty liver disease
    Nam Hee Kim, Yoon Suk Jung, Hyun Pyo Hong, Jung Ho Park, Hong Joo Kim, Dong Il Park, Yong Kyun Cho, Chong Il Sohn, Woo Kyu Jeon, Byung Ik Kim
    Liver International.2018; 38(8): 1487.     CrossRef
  • The prevalence, awareness, and treatment of lipid abnormalities in Iranian adults: Surveillance of risk factors of noncommunicable diseases in Iran 2016
    Zahra Aryan, Negar Mahmoudi, Ali Sheidaei, Shahabeddin Rezaei, Zohreh Mahmoudi, Kimyia Gohari, Nazila Rezaei, Mohammad Javad Hajipour, Arezou Dilmaghani-Marand, Farideh Razi, Mahdi Sabooni, Farzad Kompani, Alireza Delavari, Bagher Larijani, Farshad Farzad
    Journal of Clinical Lipidology.2018; 12(6): 1471.     CrossRef
  • Low-carbohydrate diet and the risk of metabolic syndrome in Korean adults
    K. Ha, H. Joung, Y. Song
    Nutrition, Metabolism and Cardiovascular Diseases.2018; 28(11): 1122.     CrossRef
  • Association of change in total cholesterol level with mortality: A population-based study
    Su-Min Jeong, Seulggie Choi, Kyuwoong Kim, Sung-Min Kim, Gyeongsil Lee, Joung Sik Son, Jae-Moon Yun, Sang Min Park, Katriina Aalto-Setala
    PLOS ONE.2018; 13(4): e0196030.     CrossRef
  • Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
    Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
    Diabetes & Metabolism Journal.2018; 42(5): 415.     CrossRef
  • Evaluating the prevalence, awareness, and control of hypertension, diabetes, and dyslipidemia in Korea using the NHIS-NSC database
    Sunjoo Boo, Young Joo Yoon, Hyunjin Oh
    Medicine.2018; 97(51): e13713.     CrossRef
  • New and Future Parenteral Therapies for the Management of Lipid Disorders
    Roberto Garcia, Jaime Burkle
    Archives of Medical Research.2018; 49(8): 538.     CrossRef
  • Association between Dietary Pattern and Incidence of Cholesterolemia in Korean Adults: The Korean Genome and Epidemiology Study
    Jieul Lee, Jihye Kim
    Nutrients.2018; 10(1): 53.     CrossRef
  • Efficacy and Safety of Adding Omega-3 Fatty Acids in Statin-treated Patients with Residual Hypertriglyceridemia: ROMANTIC (Rosuvastatin-OMAcor iN residual hyperTrIglyCeridemia), a Randomized, Double-blind, and Placebo-controlled Trial
    Chee Hae Kim, Kyung Ah Han, Jaemyung Yu, Sang Hak Lee, Hui Kyung Jeon, Sang Hyun Kim, Seok Yeon Kim, Ki Hoon Han, Kyungheon Won, Dong-Bin Kim, Kwang-Jae Lee, Kyungwan Min, Dong Won Byun, Sang-Wook Lim, Chul Woo Ahn, SeongHwan Kim, Young Joon Hong, Jidong
    Clinical Therapeutics.2018; 40(1): 83.     CrossRef
  • Effects of Abdominal Obesity and Risk Drinking on the Hypertension Risk in Korean Adults
    Eun Sook Lee
    Journal of Korean Academy of Community Health Nursing.2018; 29(3): 349.     CrossRef
  • Does Adjuvant Treatment With Ginkgo Biloba to Statins Have Additional Benefits in Patients With Dyslipidemia?
    Yu Fan, Xin Jin, Changfeng Man, Dandan Gong
    Frontiers in Pharmacology.2018;[Epub]     CrossRef
  • Relationship with Smoking and Dyslipidemia in Korean Adults
    Dong Youl Shin, Young Keun Jang, Jae Hoon Lee, Jeong Hoon Wee, Dong Ho Chun
    Journal of the Korean Society for Research on Nicotine and Tobacco.2017; 8(2): 73.     CrossRef
  • Prevalence and Clinical Characteristics of Dyslipidemia in Koreans
    Jee-Sun Jeong, Hyuk-Sang Kwon
    Endocrinology and Metabolism.2017; 32(1): 30.     CrossRef
  • Management Status of Cardiovascular Disease Risk Factors for Dyslipidemia among Korean Adults
    Jongseok Lee, Heejeong Son, Ohk-Hyun Ryu
    Yonsei Medical Journal.2017; 58(2): 326.     CrossRef
  • Application of the 2013 American College of Cardiology/American Heart Association Cholesterol Guideline to the Korean National Health and Nutrition Examination Surveys from 1998 to 2012
    Young Shin Song, Tae Jung Oh, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Hak Chul Jang, Kyong Soo Park, Soo Lim
    Diabetes & Metabolism Journal.2017; 41(1): 38.     CrossRef
  • Dietary carbohydrate and fat intakes are differentially associated with lipid abnormalities in Korean adults
    SuJin Song, Won O. Song, YoonJu Song
    Journal of Clinical Lipidology.2017; 11(2): 338.     CrossRef
  • Metabolic Syndrome Causes Cardiovascular Disease under Stable Statin Medication
    Sang-Cheol Cho, Hoonhee Lee, Hyo-Jung Nam, Ki Hoon Han
    Journal of Lipid and Atherosclerosis.2017; 6(2): 75.     CrossRef
  • Improved trends in cardiovascular complications among subjects with type 2 diabetes in Korea: a nationwide study (2006–2013)
    Chang Hee Jung, Jin Ook Chung, Kyungdo Han, Seung-Hyun Ko, Kyung Soo Ko, Joong-Yeol Park
    Cardiovascular Diabetology.2017;[Epub]     CrossRef
  • Association Between the Awareness of Dyslipidemia and Health Behavior for Control of Lipid Levels Among Korean Adults with Dyslipidemia
    In Young Cho, Hwa Yeon Park, Kiheon Lee, Woo Kyung Bae, Se Young Jung, Hye Jin Ju, Jae Kyeong Song, Jong Soo Han
    Korean Journal of Family Medicine.2017; 38(2): 64.     CrossRef
  • Effect of statin on hepatocellular carcinoma in patients with type 2 diabetes: A nationwide nested case‐control study
    Gyuri Kim, Suk‐Yong Jang, Eugene Han, Yong‐ho Lee, Se‐young Park, Chung Mo Nam, Eun Seok Kang
    International Journal of Cancer.2017; 140(4): 798.     CrossRef
  • Association of dietary intakes of total and subtypes of fat substituted for carbohydrate with metabolic syndrome in Koreans
    Kyong Won Lee, Yoonsu Cho, Garam Jo, Yoo Kyoung Park, Min-Jeong Shin
    Endocrine Journal.2016; 63(11): 991.     CrossRef
  • Pre-treatment with simvastatin prevents the induction of diet-induced atherosclerosis in a rabbit model
    Nikolaos Oikonomidis, Nikolaos Kavantzas, Laskarina-Maria Korou, Panagiotis Konstantopoulos, Vasilios Pergialiotis, Evangelos Misiakos, Ioannis Rizos, Christos Verikokos, Despina N. Perrea
    Biomedical Reports.2016; 5(6): 667.     CrossRef
  • Comparative analysis of the efficacy of omega-3 fatty acids for hypertriglyceridaemia management in Korea
    H.-S. Kim, H. Kim, Y. J. Jeong, S. J. Yang, S. J. Baik, H. Lee, S.-H. Lee, J. H. Cho, I.-Y. Choi, H. W. Yim, K.-H. Yoon
    Journal of Clinical Pharmacy and Therapeutics.2016; 41(5): 508.     CrossRef
  • Parks and Green Areas Are Associated with Decreased Risk for Hyperlipidemia
    Hye-Jin Kim, Jin-Young Min, Hyun-Jin Kim, Kyoung-Bok Min
    International Journal of Environmental Research and Public Health.2016; 13(12): 1205.     CrossRef
  • Analysis and comparison of statin prescription patterns and outcomes according to clinical department
    H.-S. Kim, H. Kim, H. Lee, B. Park, S. Park, S.-H. Lee, J. H. Cho, H. Song, J. H. Kim, K.-H. Yoon, I. Y. Choi
    Journal of Clinical Pharmacy and Therapeutics.2016; 41(1): 70.     CrossRef
  • Dyslipidemia patterns are differentially associated with dietary factors
    SuJin Song, Hee Young Paik, Minseon Park, YoonJu Song
    Clinical Nutrition.2016; 35(4): 885.     CrossRef
  • Epidemiology of dyslipidemia in Korea
    Hyeon Chang Kim
    Journal of the Korean Medical Association.2016; 59(5): 352.     CrossRef
  • Difference between old and young adults in contribution of β‐cell function and sarcopenia in developing diabetes mellitus
    Bo Kyung Koo, Eun Roh, Ye Seul Yang, Min Kyong Moon
    Journal of Diabetes Investigation.2016; 7(2): 233.     CrossRef
  • Economic Evaluation of Rosuvastatin and Atorvastatin for the Treatment of Dyslipidemia from a Korean Health System Perspective
    Sunghwan Suh, Chang Hee Jung, Soon-Jun Hong, Jung-Sun Kim, Byung Ju Song, Hyun Soon Sohn, Sung Hee Choi
    Journal of Lipid and Atherosclerosis.2016; 5(1): 61.     CrossRef
  • Obesity and Hyperglycemia in Korean Men with Klinefelter Syndrome: The Korean Endocrine Society Registry
    Seung Jin Han, Kyung-Soo Kim, Wonjin Kim, Jung Hee Kim, Yong-ho Lee, Ji Sun Nam, Ji A Seo, Bu Kyung Kim, Jihyun Lee, Jin Ook Chung, Min-Hee Kim, Tae-Seo Sohn, Han Seok Choi, Seong Bin Hong, Yoon-Sok Chung
    Endocrinology and Metabolism.2016; 31(4): 598.     CrossRef
  • Effects of mulberry leaf extract on blood glucose and serum lipid profiles in patients with type 2 diabetes mellitus: A systematic review
    Seung-Ok Shin, Hyun-Ju Seo, Hyunyoung Park, Hyun Jin Song
    European Journal of Integrative Medicine.2016; 8(5): 602.     CrossRef
  • Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Kyoungil Min, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko, James M Wright
    PLOS ONE.2016; 11(10): e0164807.     CrossRef
  • Effects of Age, Sex, and Menopausal Status on Blood Cholesterol Profile in the Korean Population
    Ji Hye Park, Myung Ha Lee, Jee-Seon Shim, Dong Phil Choi, Bo Mi Song, Seung Won Lee, Hansol Choi, Hyeon Chang Kim
    Korean Circulation Journal.2015; 45(2): 141.     CrossRef
  • Is nutritional labeling associated with individual health? The effects of labeling-based awareness on dyslipidemia risk in a South Korean population
    Jong Yeob Kim, Ki Hong Kweon, Min Jae Kim, Eun-Cheol Park, Suk-Yong Jang, Woorim Kim, Kyu-Tae Han
    Nutrition Journal.2015;[Epub]     CrossRef
  • Cost-effectiveness analysis of low density lipoprotein cholesterol-lowering therapy in hypertensive patients with type 2 diabetes in Korea: single-pill regimen (amlodipine/atorvastatin) versus double-pill regimen (amlodipine+atorvastatin)
    Ji-Hyun Park, Yong-Ho Lee, Su-Kyoung Ko, Bong-Soo Cha
    Epidemiology and Health.2015; 37: e2015010.     CrossRef
  • Application of New Cholesterol Guidelines to the Korean Adult Diabetic Patients
    Bu Kyung Kim, Hyeon Chang Kim, Kyoung Hwa Ha, Dae Jung Kim
    Journal of Korean Medical Science.2015; 30(11): 1612.     CrossRef
  • Undiagnosed diabetes is prevalent in younger adults and associated with a higher risk cardiometabolic profile compared to diagnosed diabetes
    Yong-ho Lee, Ehrin J. Armstrong, Gyuri Kim, Jaewon Oh, Seok-Min Kang, Byung-Wan Lee, Chul Woo Ahn, Bong Soo Cha, Hyun Chul Lee, Christos S. Mantzoros, Eun Seok Kang
    American Heart Journal.2015; 170(4): 760.     CrossRef
  • New Drugs for Treating Dyslipidemia: Beyond Statins
    Chang Ho Ahn, Sung Hee Choi
    Diabetes & Metabolism Journal.2015; 39(2): 87.     CrossRef
  • Can increased visceral adiposity without body weight changes accelerate carotid atherosclerosis in South Korean participants with type 2 diabetes?
    Chul Sik Kim, Soo-Kyung Kim, Maria Rosario G. Araneta, Eun Jig Lee, Elizabeth Barrett-Connor, Kab Bum Huh
    Journal of Diabetes and its Complications.2015; 29(8): 1085.     CrossRef
  • Prevalence and Management of Dyslipidemia Among Korean Adults: KNHANES 2010-2012
    Sungok Jang, Jongseok Lee
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(11): 7978.     CrossRef
  • Prevalence and Gender-Related Characteristics of Metabolic Syndrome in Korean Community
    Kyung-Taek Park, Hack-Lyoung Kim, Sang-Hyun Kim, Myung-A Kim, Euijae Lee, Jonghanne Park, Sang-Ho Jo, Sung Rae Kim, Jaetaek Kim, Chee Jeong Kim, Moon-Kyu Lee, Hyun Ho Shin
    Journal of Lipid and Atherosclerosis.2014; 3(2): 89.     CrossRef
Prevalence of Diabetes and Prediabetes according to Fasting Plasma Glucose and HbA1c
Ja Young Jeon, Seung-Hyun Ko, Hyuk-Sang Kwon, Nan Hee Kim, Jae Hyeon Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Myoung-jin Jang, Yuna Kim, Kyungwon Oh, Dae Jung Kim, Bong-Yun Cha
Diabetes Metab J. 2013;37(5):349-357.   Published online October 17, 2013
DOI: https://doi.org/10.4093/dmj.2013.37.5.349
  • 7,746 View
  • 76 Download
  • 117 Crossref
AbstractAbstract PDFPubReader   
Background

Due to the inconvenience of performing oral glucose tolerance tests and day to day variability in glucose level, glycated hemoglobin (HbA1c) has been recommended by the American Diabetes Association as a method to diagnose diabetes. In addition, the Korean Diabetes Association has also recommended the use of HbA1c as a diagnostic test for diabetes. In this study, we evaluated the prevalence of diabetes according to fasting plasma glucose (FPG) level only or the combination of FPG and HbA1c tests.

Methods

Data from the 2011 Korea National Health and Nutrition Examination Survey (KNHANES) were analyzed. Among 5,811 subjects aged 30 years or older, 5,020 were selected after excluding the data of fasting time <8 hours, missing values from fasting glucose or HbA1c level, previous diagnosis of diabetes made by physicians, or current use of antidiabetic medications. Diabetes was defined as FPG ≥126 mg/dL, previous diagnosis of diabetes made by a medical doctor, current use of antidiabetic medications, and/or HbA1c ≥6.5%. Prediabetes was defined as FPG of 100 to 125 mg/dL and/or HbA1c of 5.7% to 6.4%.

Results

When we used FPG only, the prevalence of diabetes and prediabetes were 10.5% (men, 12.6%; women, 8.5%) and 19.3% (men, 23.8%; women, 14.9%), respectively. When HbA1c was included as a diagnostic test, the prevalence of diabetes and prediabetes increased to 12.4% (men, 14.5%; women, 10.4%) and 38.3% (men, 41%; women, 35.7%), respectively. Participants with HbA1c ≥6.5% and fasting glucose level <126 mg/dL were older and had lower estimated glomerular filtration rate.

Conclusion

We concluded that using fasting glucose level only may result in an underestimation of diabetes and prediabetes. HbA1c is an acceptable complementary diagnostic test for diabetes in Korean patients. However, national standardization is needed to order to use HbA1c as a diagnostic method of diabetes and prediabetes.

Citations

Citations to this article as recorded by  
  • Validation of the Framingham Diabetes Risk Model Using Community-Based KoGES Data
    Hye Ah Lee, Hyesook Park, Young Sun Hong
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Dietary patterns and the risk of diabetes in Korean adults: A cross-sectional and prospective cohort study
    Jiyoung Hwang, Hyesook Kim, Oran Kwon
    Nutrition.2024; 125: 112491.     CrossRef
  • Diabetes and prediabetes prevalence through a community-based screening initiative in Alqunfudah, Saudi Arabia
    Saleh Ahmed Alshaikhi, Ahmed Madini Alamri, Ibrahim Yahya Alzilai, Ageel Ahmad Alghanimi, Ali Mohammad Alrufaidi, Ahmed Mohammed Alrufaidi, Ahmed Elsayed Bader, Ahmed Abushaisha Abdelmoniem, Ayoub Ali Alshaikh, Omar Ahmed Alshaikhi, Mohammed Ahmed Alshaik
    Future Science OA.2024;[Epub]     CrossRef
  • Investigating the Effects of Diet-Induced Prediabetes on Skeletal Muscle Strength in Male Sprague Dawley Rats
    Mandlakazi Dlamini, Andile Khathi
    International Journal of Molecular Sciences.2024; 25(7): 4076.     CrossRef
  • Investigating Factors Influencing the National Cancer Screening Program among Older Individuals in Republic of Korea—Data from the Korea National Health and Nutrition Examination Survey VIII
    Seok Hwan Kim, Hyo Eun Park
    Healthcare.2024; 12(12): 1237.     CrossRef
  • Oxidative balance scores in Korean adults are associated with periodontitis
    Jeong‐Hwa Seon, Na‐Yeong Kim, Ji‐Eun Kim, Choong‐Ho Choi, Ki‐Ho Chung
    Journal of Periodontology.2024;[Epub]     CrossRef
  • Association between gingivitis, tooth loss and cardiovascular risk: Insights from a 10-year nationwide cohort study of 3.7 million Koreans
    Seung Yeon Lee, César Félix Cayo-Rojas
    PLOS ONE.2024; 19(8): e0308250.     CrossRef
  • Relationship between Marriage and Prediabetes among Healthcare Workers: Mediating Effect of Triglycerides
    Yong-Hsin Chen, Jia-June Lin, Hsiu-Mei Tang, Ching-Wen Yang, Gwo-Ping Jong, Yi-Sun Yang
    Medicina.2024; 60(9): 1418.     CrossRef
  • Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
    Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
    The Korean Journal of Internal Medicine.2023; 38(1): 93.     CrossRef
  • Comparison of diagnostic accuracy for diabetes diagnosis: A systematic review and network meta-analysis
    Khanh N. C. Duong, Chia Jie Tan, Sasivimol Rattanasiri, Ammarin Thakkinstian, Thunyarat Anothaisintawee, Nathorn Chaiyakunapruk
    Frontiers in Medicine.2023;[Epub]     CrossRef
  • Evaluation of the Association between Amount and Type of Milk Consumption and Periodontitis: Data from the Korea National Health and Nutrition Examination Survey (2016–2018)
    Eun Jeong Min, Siseong Jeong, Jun-Beom Park
    Nutrients.2023; 15(4): 914.     CrossRef
  • Association between body mass index and reversion to normoglycemia from impaired fasting glucose among Chinese adults: a 5-year cohort study
    Yong Han, Haofei Hu, Zhiqiang Huang, Dehong Liu
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Evaluation of calcium/magnesium ratio in patients with type 2 diabetes mellitus
    Kamile Yücel, Ali Fuat Gürbüz
    Turkish Journal of Biochemistry.2023; 48(3): 327.     CrossRef
  • Association of dietary sodium intake with impaired fasting glucose in adult cancer survivors: A population-based cross-sectional study
    Kyuwoong Kim, Hamee Kim, Tae Joon Jun, Young-Hak Kim, Dong Keon Yon
    PLOS ONE.2023; 18(5): e0286346.     CrossRef
  • Sitagliptin: the fixed combination of the first dipeptidyl peptidase 4 inhibitor and metformin
    L. V. Egshatyan
    Meditsinskiy sovet = Medical Council.2023; (13): 116.     CrossRef
  • Reply
    Kiyoshi Tamura
    Annals of Vascular Diseases.2023; 16(3): 244.     CrossRef
  • The inverse association between DNA gaps and HbA1c levels in type 2 diabetes mellitus
    Jirapan Thongsroy, Apiwat Mutirangura
    Scientific Reports.2023;[Epub]     CrossRef
  • Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
    Bin Zhou, Kate E. Sheffer, James E. Bennett, Edward W. Gregg, Goodarz Danaei, Rosie K. Singleton, Jonathan E. Shaw, Anu Mishra, Victor P. F. Lhoste, Rodrigo M. Carrillo-Larco, Andre P. Kengne, Nowell H. Phelps, Rachel A. Heap, Archie W. Rayner, Gretchen A
    Nature Medicine.2023; 29(11): 2885.     CrossRef
  • Lobeglitazone and Its Therapeutic Benefits: A Review
    Balamurugan M, Sarumathy S, Robinson R
    Cureus.2023;[Epub]     CrossRef
  • Position Statement on the Appropriateness and Significance of Adding the Glycated Hemoglobin Test to the National Health Examination
    Ji Hye Kim, Dae Jung Kim, Jaehyun Kim, Sangjoon Park, Kyunghoon Lee, Jun Goo Kang, Eu Jeong Ku, Su Kyoung Kwon, Won Jun Kim, Young Sang Lyu, Jang Won Son, Young Sil Eom, Kyung Ae Lee, Jeongrim Lee, Jung Min Lee, Jung Hwa Lee, Jung Hwa Jung, Hochan Cho, Da
    The Journal of Korean Diabetes.2023; 24(4): 178.     CrossRef
  • Trends in Prediabetes and Non-Alcoholic Fatty Liver Disease Associated with Abdominal Obesity among Korean Children and Adolescents: Based on the Korea National Health and Nutrition Examination Survey between 2009 and 2018
    Kyungchul Song, Goeun Park, Hye Sun Lee, Myeongseob Lee, Hae In Lee, Jungmin Ahn, Eunbyoul Lee, Han Saem Choi, Junghwan Suh, Ahreum Kwon, Ho-Seong Kim, Hyun Wook Chae
    Biomedicines.2022; 10(3): 584.     CrossRef
  • Metabolic Effects of an Oral Glucose Tolerance Test Compared to the Mixed Meal Tolerance Tests: A Narrative Review
    Marlene Lages, Renata Barros, Pedro Moreira, Maria P. Guarino
    Nutrients.2022; 14(10): 2032.     CrossRef
  • Diabetes Prevalence and Associated Risk Factors among Women in a Rural District of Nepal Using HbA1c as a Diagnostic Tool: A Population-Based Study
    Chandra Yogal, Sunila Shakya, Biraj Karmarcharya, Rajendra Koju, Astrid Kamilla Stunes, Mats Peder Mosti, Miriam K. Gustafsson, Bjørn Olav Åsvold, Berit Schei, Unni Syversen
    International Journal of Environmental Research and Public Health.2022; 19(12): 7011.     CrossRef
  • Prediabetes diagnosis is associated with the progression of coronary artery calcification: The Kangbuk Samsung Health Study
    In Young Choi, Yoosoo Chang, Yoosun Cho, Jeonggyu Kang, Hyun‐Suk Jung, Sarah H. Wild, Christopher D. Byrne, Seungho Ryu
    Diabetes, Obesity and Metabolism.2022; 24(11): 2118.     CrossRef
  • Investigating the Effects of Diet-Induced Pre-Diabetes on the Functioning of Calcium-Regulating Organs in Male Sprague Dawley Rats: Effects on Selected Markers
    Karishma Naidoo, Phikelelani S. Ngubane, Andile Khathi
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Oncometabolic surgery in gastric cancer patients with type 2 diabetes
    Yun Suk Choi, Jin Wook Yi, Woo Young Shin, Yoonseok Heo
    Scientific Reports.2022;[Epub]     CrossRef
  • Epidemiology of prediabetes mellitus among hill tribe adults in Thailand
    Tawatchai Apidechkul, Chalitar Chomchiei, Panupong Upala, Ratipark Tamornpark, Xi Pan
    PLOS ONE.2022; 17(7): e0271900.     CrossRef
  • Ameliorative Effects of Annona muricata Leaf Ethanol Extract on Renal Morphology of Alloxan-Induced Mice
    Supri Irianti Handayani, Mutiara Intan Permata Sari, Meilania Saraswati Sardjana, Kusmardi Kusmardi, Siti Nurbaya, Rosmalena Rosmalena, Ernawati Sinaga, Vivitri Dewi Prasasty
    Applied Sciences.2022; 12(18): 9141.     CrossRef
  • ADAM17 cleaves the insulin receptor ectodomain on endothelial cells and causes vascular insulin resistance
    Thaysa Ghiarone, Jorge A. Castorena-Gonzalez, Christopher A. Foote, Francisco I. Ramirez-Perez, Larissa Ferreira-Santos, Francisco J. Cabral-Amador, Roger de la Torre, Rama R. Ganga, Andrew A. Wheeler, Camila Manrique-Acevedo, Jaume Padilla, Luis A. Marti
    American Journal of Physiology-Heart and Circulatory Physiology.2022; 323(4): H688.     CrossRef
  • A causal relationship between alcohol intake and type 2 diabetes mellitus: A two-sample Mendelian randomization study
    Meiling Liu, Sunmin Park
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(12): 2865.     CrossRef
  • Diabetes stabilisation during COVID-19: A case history
    Linda Nazarko
    Independent Nurse.2021; 2021(1): 16.     CrossRef
  • Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status
    Chan-Hee Jung, Jang Won Son, Shinae Kang, Won Jun Kim, Hun-Sung Kim, Hae Soon Kim, Mihae Seo, Hye-Jung Shin, Seong-Su Lee, Su Jin Jeong, Yongin Cho, Seung Jin Han, Hyang Mi Jang, Mira Rho, Shinbi Lee, Mihyun Koo, Been Yoo, Jung-Wha Moon, Hye Young Lee, Ja
    Diabetes & Metabolism Journal.2021; 45(1): 1.     CrossRef
  • Does autonomic nervous system dysfunction influence cardiovascular disease risk in young adults with intellectual disability?
    Clara C. Zwack, Rachael McDonald, Ainura Tursunalieva, Amali Cooray, Gavin W. Lambert, Elisabeth A. Lambert
    American Journal of Physiology-Heart and Circulatory Physiology.2021; 320(2): H891.     CrossRef
  • Prevalence of Prediabetes and Undiagnosed Diabetes Among Kuwaiti Adults: A Cross-Sectional Study
    Anwar Mohammad, Ali H Ziyab, Talal Mohammad
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 2167.     CrossRef
  • The prevalence of diabetes amongst young Emirati female adults in the United Arab Emirates: A cross-sectional study
    Maysm N. Mohamad, Leila Cheikh Ismail, Lily Stojanovska, Vasso Apostolopoulos, Jack Feehan, Amjad H. Jarrar, Ayesha S. Al Dhaheri, Muhammad Sajid Hamid Akash
    PLOS ONE.2021; 16(6): e0252884.     CrossRef
  • The prevalence and correlates of pre-diabetes in middle- to older-aged Irish adults using three diagnostic methods
    Kate Junker, Claire M. Buckley, Seán R. Millar, Sinéad Flynn, Janas M. Harrington, Patricia M. Kearney, Ivan J. Perry, Muhammad Sajid Hamid Akash
    PLOS ONE.2021; 16(6): e0253537.     CrossRef
  • Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions
    Kyungwon Oh, Yoonjung Kim, Sanghui Kweon, Soyeon Kim, Sungha Yun, Suyeon Park, Yeon-Kyeng Lee, Youngtaek Kim, Ok Park, Eun Kyeong Jeong
    Epidemiology and Health.2021; 43: e2021025.     CrossRef
  • The Use of Mobile Personal Health Records for Hemoglobin A1c Regulation in Patients With Diabetes: Retrospective Observational Study
    Dongjin Seo, Yu Rang Park, Yura Lee, Ji Young Kim, Joong-Yeol Park, Jae-Ho Lee
    Journal of Medical Internet Research.2020; 22(6): e15372.     CrossRef
  • Optimal fasting plasma glucose and haemoglobin A1c levels for screening of prediabetes and diabetes according to 2‐hour plasma glucose in a high‐risk population: The Korean Diabetes Prevention Study
    Seon‐Ah Cha, Suk Chon, Jae‐Seung Yun, Sang Youl Rhee, Sun‐Young Lim, Kun‐Ho Yoon, Yu‐Bae Ahn, Seung‐Hyun Ko, Jeong‐Taek Woo, Jin‐Hee Lee
    Diabetes/Metabolism Research and Reviews.2020;[Epub]     CrossRef
  • The additive effect of type 2 diabetes on fibrinogen, von Willebrand factor, tryptophan and threonine in people living with HIV
    Michelle L. Harrison, Anthony S. Wolfe, Jonathan Fordyce, Jamie Rock, Alexandra A. García, Julie A. Zuñiga
    Amino Acids.2019; 51(5): 783.     CrossRef
  • Prevalence of Diabetes Mellitus in Adult Residents of Rural Regions of Grash Town, Fars, Iran during 2015-201
    H. Soori, M.N. Mohammadi, J. Yoosefi Lebni
    Health Education and Health Promotion.2019; 7(2): 89.     CrossRef
  • Understanding prediabetes: definition, prevalence, burden and treatment options for an emerging disease
    Kristian Rett, Ulrike Gottwald-Hostalek
    Current Medical Research and Opinion.2019; 35(9): 1529.     CrossRef
  • Does reviewing fasting plasma glucose results patterns before glycosylated hemoglobin testing in type-2 diabetic patients lead to better testing decision?
    Wichaporn Intharachuti, Jiruth Sriratanaban
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(3): 2080.     CrossRef
  • Discrepancies between Glycosylated Hemoglobin and Fasting Plasma Glucose for Diagnosing Impaired Fasting Glucose and Diabetes Mellitus in Korean Youth and Young Adults
    Jieun Lee, Young Ah Lee, Jae Hyun Kim, Seong Yong Lee, Choong Ho Shin, Sei Won Yang
    Diabetes & Metabolism Journal.2019; 43(2): 174.     CrossRef
  • Colorectal Cancer Risks According to Sex Differences in Patients With Type II Diabetes Mellitus: A Korean Nationwide Population-Based Cohort Study
    Ji Min Lee, Kang-Moon Lee, Dae Bum Kim, Seung-Hyun Ko, Yong Gyu Park
    Clinical and Translational Gastroenterology.2019; 10(10): e00090.     CrossRef
  • Isolated HbA1c identifies a different subgroup of individuals with type 2 diabetes compared to fasting or post-challenge glucose in Asian Indians: The CARRS and MASALA studies
    U.P. Gujral, D. Prabhakaran, R. Pradeepa, N.R. Kandula, D. Kondal, M. Deepa, N.A. Zakai, R.M. Anjana, G. Rautela, V. Mohan, K.M.V. Narayan, N. Tandon, A.M. Kanaya
    Diabetes Research and Clinical Practice.2019; 153: 93.     CrossRef
  • Diabetes Fact Sheets in Korea, 2018: An Appraisal of Current Status
    Bo-Yeon Kim, Jong Chul Won, Jae Hyuk Lee, Hun-Sung Kim, Jung Hwan Park, Kyoung Hwa Ha, Kyu Chang Won, Dae Jung Kim, Kyong Soo Park
    Diabetes & Metabolism Journal.2019; 43(4): 487.     CrossRef
  • Lack of association between particulate air pollution and blood glucose levels and diabetic status in peri-urban India
    Ariadna Curto, Otavio Ranzani, Carles Milà, Margaux Sanchez, Julian D. Marshall, Bharati Kulkarni, Santhi Bhogadi, Sanjay Kinra, Gregory A. Wellenius, Cathryn Tonne
    Environment International.2019; 131: 105033.     CrossRef
  • Diabetes Prevalence Survey of Pakistan (DPS-PAK): prevalence of type 2 diabetes mellitus and prediabetes using HbA1c: a population-based survey from Pakistan
    Azizul Hasan Aamir, Zia Ul-Haq, Saeed A Mahar, Faisal Masood Qureshi, Ibrar Ahmad, Ali Jawa, Aisha Sheikh, Abbas Raza, Sheraz Fazid, Zahid Jadoon, Osama Ishtiaq, Nauman Safdar, Hussain Afridi, Adrian H Heald
    BMJ Open.2019; 9(2): e025300.     CrossRef
  • Evaluation of the associations between immunoglobulin E levels and the number of natural teeth
    Kyungdo Han, Eunjoo Lee, Jun-Beom Park
    Journal of the Formosan Medical Association.2018; 117(7): 605.     CrossRef
  • Clinical implications of age and sex in the prevalence of periodontitis in Korean adults with diabetes
    Kyungdo Han, Jun‑Beom Park
    Experimental and Therapeutic Medicine.2018;[Epub]     CrossRef
  • Clinical implication of fasting glucose and systolic/diastolic blood pressure on the prevalence of periodontitis in non‑diabetic and non‑hypertensive adults using nationally representative data
    Kyungdo Han, Jun‑Beom Park
    Experimental and Therapeutic Medicine.2018;[Epub]     CrossRef
  • Past and Current Status of Adult Type 2 Diabetes Mellitus Management in Korea: A National Health Insurance Service Database Analysis
    Seung-Hyun Ko, Kyungdo Han, Yong-ho Lee, Junghyun Noh, Cheol-Young Park, Dae-Jung Kim, Chang Hee Jung, Ki-Up Lee, Kyung-Soo Ko
    Diabetes & Metabolism Journal.2018; 42(2): 93.     CrossRef
  • Glycated heamoglobin A1c as a tool for epidemiological studies to assess diabetes prevalence: How has it been used since its official recommendation for diabetes diagnosis?
    D. Simon
    Diabetes & Metabolism.2018; 44(3): 197.     CrossRef
  • Type 2 Diabetes Mellitus and Cognitive Function in the Elderly
    Nazila Malekian, Seyed Reza Hosseini, Sussan Moudi, Mohammad Ali Bayani, Farzan Kheirkhah, Ali Bijani, Aylar Khalilipour
    Iranian Journal of Psychiatry and Behavioral Sciences.2018;[Epub]     CrossRef
  • Evaluation of an association between long sleep duration and periodontal disease among men and women using nationally representative data
    Kyungdo Han, Yong-Moon Park, Jun-Beom Park
    Gaceta Sanitaria.2018; 32(2): 143.     CrossRef
  • Significance of prediabetes as a nosological entity
    Ladislav Stepanek, Dagmar Horakova, Marie Nakladalova, Lubica Cibickova, David Karasek, Josef Zadrazil
    Biomedical Papers.2018; 162(4): 249.     CrossRef
  • Diabetes Fact Sheet in Korea, 2016: An Appraisal of Current Status
    Jong Chul Won, Jae Hyuk Lee, Jae Hyeon Kim, Eun Seok Kang, Kyu Chang Won, Dae Jung Kim, Moon-Kyu Lee
    Diabetes & Metabolism Journal.2018; 42(5): 415.     CrossRef
  • Development and Validation of the Korean Diabetes Risk Score: A 10-Year National Cohort Study
    Kyoung Hwa Ha, Yong-ho Lee, Sun Ok Song, Jae-woo Lee, Dong Wook Kim, Kyung-hee Cho, Dae Jung Kim
    Diabetes & Metabolism Journal.2018; 42(5): 402.     CrossRef
  • Evaluation of the association between sleep duration and tooth loss among Korean adults: data from the Korean National Health and Nutrition Examination Survey (KNHANES 2012–2014)
    Kyungdo Han, Jun-Beom Park
    BMJ Open.2018; 8(5): e018383.     CrossRef
  • Impact of glycated hemoglobin (HbA1c) on identifying insulin resistance among apparently healthy individuals
    Sarama Saha, Peter E. H. Schwarz
    Journal of Public Health.2017; 25(5): 505.     CrossRef
  • Trends in the pervasiveness of type 2 diabetes, impaired fasting glucose and co-morbidities during an 8-year-follow-up of nationwide Korean population
    Junghyun Noh, Kyung-Do Han, Seung-Hyun Ko, Kyung Soo Ko, Cheol-Young Park
    Scientific Reports.2017;[Epub]     CrossRef
  • Efficacy and safety of sitagliptin/metformin fixed‐dose combination compared with glimepiride in patients with type 2 diabetes: A multicenter randomized double‐blind study
    Sang Soo Kim, In Joo Kim, Kwang Jae Lee, Jeong Hyun Park, Young Il Kim, Young Sil Lee, Sung Chang Chung, Sang Jin Lee
    Journal of Diabetes.2017; 9(4): 412.     CrossRef
  • Periodontitis is associated with diabetic retinopathy in non-obese adults
    Su Jeong Song, Seong-su Lee, Kyungdo Han, Jun-Beom Park
    Endocrine.2017; 56(1): 82.     CrossRef
  • Association between oral health behavior and periodontal disease among Korean adults
    Kyungdo Han, Jun-Beom Park
    Medicine.2017; 96(7): e6176.     CrossRef
  • Prevalence and risk factors for reduced pulmonary function in diabetic patients: The Korea National Health and Nutrition Examination Survey
    Hee Yeon Kim, Tae Seo Sohn, Hannah Seok, Chang Dong Yeo, Young Soo Kim, Jae Yen Song, Young Bok Lee, Dong-Hee Lee, Jae-Im Lee, Tae-Kyu Lee, Seong Cheol Jeong, Mihee Hong, Hiun Suk Chae
    The Korean Journal of Internal Medicine.2017; 32(4): 682.     CrossRef
  • Impaired Fasting Glucose Rate by Diabetes Family History
    Eun-Hei Kim, Sang-Geun Bae, Keon-Yeop Kim, Yoon-ju Na
    Journal of Health Informatics and Statistics.2017; 42(1): 63.     CrossRef
  • Age threshold for moderate and severe periodontitis among Korean adults without diabetes mellitus, hypertension, metabolic syndrome, and/or obesity
    Kyungdo Han, Jun-Beom Park
    Medicine.2017; 96(33): e7835.     CrossRef
  • Socioeconomic status is associated with global diabetes prevalence
    Zhiye Xu, Dan Yu, Xueyao Yin, Fenping Zheng, Hong Li
    Oncotarget.2017; 8(27): 44434.     CrossRef
  • The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
    Seyoung Kwon, Youngak Na
    The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114.     CrossRef
  • Effects of Lobeglitazone, a Novel Thiazolidinedione, on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus over 52 Weeks
    Soo Lim, Kyoung Min Kim, Sin Gon Kim, Doo Man Kim, Jeong-Taek Woo, Choon Hee Chung, Kyung Soo Ko, Jeong Hyun Park, Yongsoo Park, Sang Jin Kim, Hak Chul Jang, Dong Seop Choi
    Diabetes & Metabolism Journal.2017; 41(5): 377.     CrossRef
  • Association between underweight and tooth loss among Korean adults
    In-Seok Song, Kyungdo Han, Jae-Jun Ryu, Jun-Beom Park
    Scientific Reports.2017;[Epub]     CrossRef
  • Outcomes and inequalities in diabetes from 2004/2005 to 2011/2012: English longitudinal study
    Robert Fleetcroft, Miqdad Asaria, Shehzad Ali, Richard Cookson
    British Journal of General Practice.2017; 67(654): e1.     CrossRef
  • Discordance in the diagnosis of diabetes: Comparison between HbA1c and fasting plasma glucose
    Lan T. Ho-Pham, Uyen D. T. Nguyen, Truong X. Tran, Tuan V. Nguyen, Petter Bjornstad
    PLOS ONE.2017; 12(8): e0182192.     CrossRef
  • Declining Incidence of Ischemic Stroke
    Anne M. Vangen-Lønne, Tom Wilsgaard, Stein Harald Johnsen, Maja-Lisa Løchen, Inger Njølstad, Ellisiv B. Mathiesen
    Stroke.2017; 48(3): 544.     CrossRef
  • Association between temporomandibular disorders and obesity
    Eunmi Rhim, Kyungdo Han, Kyoung-In Yun
    Journal of Cranio-Maxillofacial Surgery.2016; 44(8): 1003.     CrossRef
  • Trends of antidiabetic drug use in adult type 2 diabetes in Korea in 2002–2013
    Seung-Hyun Ko, Dae-Jung Kim, Jong-Heon Park, Cheol-Young Park, Chang Hee Jung, Hyuk-Sang Kwon, Joong-Yeol Park, Kee-Ho Song, Kyungdo Han, Ki-Up Lee, Kyung-Soo Ko
    Medicine.2016; 95(27): e4018.     CrossRef
  • Prevalence and risk factors of periodontitis among adults with or without diabetes mellitus
    Mihee Hong, Hee Yeon Kim, Hannah Seok, Chang Dong Yeo, Young Soo Kim, Jae Yen Song, Young Bok Lee, Dong-Hee Lee, Jae-Im Lee, Tae-Kyu Lee, Hyo-Suk Ahn, Yoon Ho Ko, Seong Cheol Jeong, Hiun Suk Chae, Tae Seo Sohn
    The Korean Journal of Internal Medicine.2016; 31(5): 910.     CrossRef
  • The Relationship between Type 2 Diabetes Mellitus and Non-Alcoholic Fatty Liver Disease Measured by Controlled Attenuation Parameter
    Young Eun Chon, Kwang Joon Kim, Kyu Sik Jung, Seung Up Kim, Jun Yong Park, Do Young Kim, Sang Hoon Ahn, Chae Yoon Chon, Jae Bock Chung, Kyeong Hye Park, Ji Cheol Bae, Kwang-Hyub Han
    Yonsei Medical Journal.2016; 57(4): 885.     CrossRef
  • Comparative Study on Self-care Behavior Related Factors for Good, Inadequate and Poor Glycemic Control Groups: Based on Variables from Theory of Planned Behavior, Habit, and Family support*
    Jae-Kyoung Kim, Mee Ock Gu
    Journal of Korean Academy of Fundamentals of Nursing.2016; 23(3): 245.     CrossRef
  • Associations between the number of natural teeth and renal dysfunction
    Hye Min Choi, Kyungdo Han, Yong Gyu Park, Jun-Beom Park
    Medicine.2016; 95(34): e4681.     CrossRef
  • Associations between the number of natural teeth in postmenopausal women and duration of lactation: The 2010–2012 Korea National Health and Nutrition Examination Survey
    Kyungdo Han, Youngkyung Ko, Yong-Gyu Park, Jun-Beom Park
    Maturitas.2016; 85: 73.     CrossRef
  • Trends in Diabetes Incidence in the Last Decade Based on Korean National Health Insurance Claims Data
    Sun Ok Song, Yong-ho Lee, Dong Wook Kim, Young Duk Song, Joo Young Nam, Kyoung Hye Park, Dae Jung Kim, Seok Won Park, Hyun Chul Lee, Byung-Wan Lee
    Endocrinology and Metabolism.2016; 31(2): 292.     CrossRef
  • Comparison of Age of Onset and Frequency of Diabetic Complications in the Very Elderly Patients with Type 2 Diabetes
    Bong-Ki Lee, Sang-Wook Kim, Daehee Choi, Eun-Hee Cho
    Endocrinology and Metabolism.2016; 31(3): 416.     CrossRef
  • Emerging Role of Nitric Oxide and Heat Shock Proteins in Insulin Resistance
    Marisa Nile Molina, León Ferder, Walter Manucha
    Current Hypertension Reports.2016;[Epub]     CrossRef
  • Association between Consumption of Coffee and the Prevalence of Periodontitis: The 2008–2010 Korea National Health and Nutrition Examination Survey
    Kyungdo Han, Eunkyung Hwang, Jun-Beom Park, Alberto G Passi
    PLOS ONE.2016; 11(7): e0158845.     CrossRef
  • Cause-of-death statistics in the Republic of Korea, 2014
    Hyun-Young Shin, Ji-Youn Lee, Juhwa Song, Seokmin Lee, Junghun Lee, Byeongsun Lim, Heyran Kim, Sun Huh
    Journal of the Korean Medical Association.2016; 59(3): 221.     CrossRef
  • Effect of Wheat Flour Noodles with Bombyx mori Powder on Glycemic Response in Healthy Subjects
    Wanhee Suk, JiEun Kim, Do-Yeon Kim, Hyunjung Lim, Ryowon Choue
    Preventive Nutrition and Food Science.2016; 21(3): 165.     CrossRef
  • C-Peptide-Based Index Is More Related to Incident Type 2 Diabetes in Non-Diabetic Subjects than Insulin-Based Index
    Jong-Dai Kim, Sung Ju Kang, Min Kyung Lee, Se Eun Park, Eun Jung Rhee, Cheol-Young Park, Ki-Won Oh, Sung-Woo Park, Won-Young Lee
    Endocrinology and Metabolism.2016; 31(2): 320.     CrossRef
  • Inhibition of advanced glycation end product formation by burdock root extract
    Darye Lee, Choon Young Kim
    Journal of Nutrition and Health.2016; 49(4): 233.     CrossRef
  • Associations between the number of natural teeth in postmenopausal women and hormone replacement therapy
    Kyungdo Han, Youngkyung Ko, Yong-Gyu Park, Jun-Beom Park
    Maturitas.2016; 94: 125.     CrossRef
  • Is an Oral Glucose Tolerance Test Still Valid for Diagnosing Diabetes Mellitus?
    Dong-Lim Kim, Sun-Doo Kim, Suk Kyeong Kim, Sooyoun Park, Kee-Ho Song
    Diabetes & Metabolism Journal.2016; 40(2): 118.     CrossRef
  • Are We in the Same Risk of Diabetes Mellitus? Gender- and Age-Specific Epidemiology of Diabetes in 2001 to 2014 in the Korean Population
    Bo Kyung Koo, Min Kyong Moon
    Diabetes & Metabolism Journal.2016; 40(3): 175.     CrossRef
  • Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
    Diabetes Research and Clinical Practice.2016; 113: 23.     CrossRef
  • Excessive Consumption of Green Tea as a Risk Factor for Periodontal Disease among Korean Adults
    Kyungdo Han, Eunkyung Hwang, Jun-Beom Park
    Nutrients.2016; 8(7): 408.     CrossRef
  • Laboratorydiagnosis of prediabetes
    Grażyna Odrowąż-Sypniewska
    Diagnostyka Laboratoryjna.2016; 52(1): 57.     CrossRef
  • TRPV1 Gene Polymorphisms Are Associated with Type 2 Diabetes by Their Interaction with Fat Consumption in the Korean Genome Epidemiology Study
    Sunmin Park, Xin Zhang, Na Ra Lee, Hyun-Seok Jin
    Lifestyle Genomics.2016; 9(1): 47.     CrossRef
  • Need for Diabetes Prevention Study
    Ja Young Jeon, Dae Jung Kim
    The Journal of Korean Diabetes.2015; 16(3): 161.     CrossRef
  • New risk factors for obesity and diabetes: Environmental chemicals
    Ja Young Jeon, Kyoung Hwa Ha, Dae Jung Kim
    Journal of Diabetes Investigation.2015; 6(2): 109.     CrossRef
  • Hospital Nurses' Pre-diabetes Knowledge, Performance and Expectation of Patient Education
    Min Jung Kim, Misoon Song
    Perspectives in Nursing Science.2015; 12(1): 33.     CrossRef
  • Secular Changes in Prediabetes Indicators Among Older-Adult Americans, 1999−2010
    Carl J. Caspersen, G. Darlene Thomas, Gloria L.A. Beckles, Kai McKeever Bullard
    American Journal of Preventive Medicine.2015; 48(3): 253.     CrossRef
  • Low transferrin saturation is associated with impaired fasting glucose and insulin resistance in the South Korean adults: the 2010 Korean National Health and Nutrition Examination Survey
    R. J. Park, J. D. Moon
    Diabetic Medicine.2015; 32(5): 673.     CrossRef
  • Role of habitual physical activity in modulating vascular actions of insulin
    Jaume Padilla, T. Dylan Olver, John P. Thyfault, Paul J. Fadel
    Experimental Physiology.2015; 100(7): 759.     CrossRef
  • Derivation and validation of an HbA1c optimal cutoff for diagnosing prediabetes in a South African mixed ancestry population
    Annalise E. Zemlin, Tandi E. Matsha, Andre P. Kengne, Rajiv T. Erasmus
    Clinica Chimica Acta.2015; 448: 215.     CrossRef
  • Change in Corneal Biomechanical Parameters in Diabetes Mellitus
    Yeon Ggoch Park, Jin Young Rhew, Kyu Ryong Choi
    Journal of the Korean Ophthalmological Society.2015; 56(4): 567.     CrossRef
  • New Directions in Chronic Disease Management
    Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
    Endocrinology and Metabolism.2015; 30(2): 159.     CrossRef
  • Insulin Initiation in Insulin-Naïve Korean Type 2 Diabetic Patients Inadequately Controlled on Oral Antidiabetic Drugs in Real-World Practice: The Modality of Insulin Treatment Evaluation Study
    Sang Soo Kim, In Joo Kim, Yong Ki Kim, Kun Ho Yoon, Ho Young Son, Sung Woo Park, Yeon Ah Sung, Hong Sun Baek
    Diabetes & Metabolism Journal.2015; 39(6): 481.     CrossRef
  • New insights into insulin action and resistance in the vasculature
    Camila Manrique, Guido Lastra, James R. Sowers
    Annals of the New York Academy of Sciences.2014; 1311(1): 138.     CrossRef
  • Current Status of Glycemic Control of Patients with Diabetes in Korea: The Fifth Korea National Health and Nutrition Examination Survey
    Ja Young Jeon, Dae Jung Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Soo Lim, Sung Hee Choi, Chul Sik Kim, Jee Hyun An, Nan Hee Kim, Jong Chul Won, Jae Hyeon Kim, Bong-Yun Cha, Kee-Ho Song
    Diabetes & Metabolism Journal.2014; 38(3): 197.     CrossRef
  • It's Still Not Too Late to Make a Change: Current Status of Glycemic Control in Korea
    Sang Yong Kim
    Diabetes & Metabolism Journal.2014; 38(3): 194.     CrossRef
  • Diabetes Update 2014 – das spannendste Diabetes-Update aller Zeiten
    W.A. Scherbaum
    Der Diabetologe.2014; 10(5): 363.     CrossRef
  • Higher Prevalence and Awareness, but Lower Control Rate of Hypertension in Patients with Diabetes than General Population: The Fifth Korean National Health and Nutrition Examination Survey in 2011
    Seung-Hyun Ko, Hyuk-Sang Kwon, Dae Jung Kim, Jae Hyeon Kim, Nan Hee Kim, Chul Sik Kim, Kee-Ho Song, Jong Chul Won, Soo Lim, Sung Hee Choi, Kyungdo Han, Yong-Moon Park, Bong-Yun Cha
    Diabetes & Metabolism Journal.2014; 38(1): 51.     CrossRef
  • Association Between Alcohol Consumption and Periodontal Disease: The 2008 to 2010 Korea National Health and Nutrition Examination Survey
    Jun‐Beom Park, Kyungdo Han, Yong‐Gyu Park, Youngkyung Ko
    Journal of Periodontology.2014; 85(11): 1521.     CrossRef
  • Glycaemic and haemoglobin A1c thresholds for detecting diabetic retinopathy: The fifth Korea National Health and Nutrition Examination Survey (2011)
    Yong-Moon Park, Seung-Hyun Ko, Jung-Min Lee, Dae-Jung Kim, Dong-Joon Kim, Kyungdo Han, Julie K. Bower, Yu-Bae Ahn
    Diabetes Research and Clinical Practice.2014; 104(3): 435.     CrossRef
  • Diabetic Kidney Disease: From Epidemiology to Clinical Perspectives
    Cheol Whee Park
    Diabetes & Metabolism Journal.2014; 38(4): 252.     CrossRef
  • Insulin Resistance and Skeletal Muscle Vasculature: Significance, Assessment and Therapeutic Modulators
    Camila Manrique, James R. Sowers
    Cardiorenal Medicine.2014; 4(3-4): 244.     CrossRef
  • Metformin Based Dual-Combination Therapies in Drug Naïve Type 2 Diabetic Patients
    Dong-Lim Kim
    Diabetes & Metabolism Journal.2013; 37(6): 429.     CrossRef
Education as Prescription for Patients with Type 2 Diabetes Mellitus: Compliance and Efficacy in Clinical Practice
Mi Yeon Kim, Sunghwan Suh, Sang-Man Jin, Se Won Kim, Ji Cheol Bae, Kyu Yeon Hur, Sung Hye Kim, Mi Yong Rha, Young Yun Cho, Myung-Shik Lee, Moon Kyu Lee, Kwang-Won Kim, Jae Hyeon Kim
Diabetes Metab J. 2012;36(6):452-459.   Published online December 12, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.6.452
  • 4,934 View
  • 34 Download
  • 12 Crossref
AbstractAbstract PDFPubReader   
Background

Diabetes self-management education has an important role in diabetes management. The efficacy of education has been proven in several randomized trials. However, the status of diabetes education programs in real Korean clinical practice has not yet been evaluated in terms of patient compliance with the education prescription.

Methods

We retrospectively analyzed clinical and laboratory data from all patients who were ordered to undergo diabetes education during 2009 at Samsung Medical Center, Seoul, Korea (n=2,291). After excluding ineligible subjects, 588 patients were included in the analysis.

Results

Among the 588 patients, 433 received education. The overall compliance rate was 73.6%, which was significantly higher in the subjects with a short duration or living in a rural area compared to those with a long duration (85.0% vs. 65.1%, respectively; P<0.001) or living in an urban area (78.2% vs. 70.4%, respectively; P=0.037). The hemoglobin A1c decreased greater in the compliant group (from 7.84±1.54 at baseline to 6.79±1.06 at 3 months and 6.97±1.20 at 12 months after prescription in the compliant group vs. from 7.74±1.25 to 7.14±1.02 and 7.24±1.24 in the non-compliant group; P=0.001). The decrease in hemoglobin A1c was greater in the subjects with a short duration (P=0.032).

Conclusion

In our study a large percent of patients refuse to get education despite having a prescription from their physician. This refusal rate was higher in the patients with long-standing diabetes or in urban residence. Furthermore, education was more effective in patients with a short duration of diabetes in clinical practice.

Citations

Citations to this article as recorded by  
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
    Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
    The Journal of Korean Diabetes.2022; 23(1): 64.     CrossRef
  • The Effectiveness of Multidisciplinary Team-Based Education in the Management of Type 2 Diabetes
    Jong Ho Kim, Yun Jeong Nam, Won Jin Kim, Kyung Ah Lee, A Ran Baek, Jung Nam Park, Jin Mi Kim, Seo Young Oh, Eun Heui Kim, Min Jin Lee, Yun Kyung Jeon, Bo Hyun Kim, In Joo Kim, Yong Ki Kim, Sang Soo Kim
    The Journal of Korean Diabetes.2018; 19(2): 119.     CrossRef
  • The diabetes self-management educational programs and their integration in the usual care: A systematic literature review
    Emmanuel Kumah, Giulia Sciolli, Maria Laura Toraldo, Anna Maria Murante
    Health Policy.2018; 122(8): 866.     CrossRef
  • Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus
    So Young Park, Sun Young Kim, Hye Mi Lee, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Kang-Hee Sim, Sang-Man Jin
    Diabetes & Metabolism Journal.2017; 41(2): 99.     CrossRef
  • Educational attainment moderates the associations of diabetes education with health outcomes
    Su Hyun Kim
    International Journal of Nursing Practice.2016; 22(5): 444.     CrossRef
  • Experiences of Diabetes Education among Educators of Diabetes : a content analysis approach
    Soo Jin Kang, Soo Jung Chang
    Journal of Korean Public Health Nursing.2016; 30(2): 221.     CrossRef
  • Barrier Factors to the Completion of Diabetes Education in Korean Diabetic Adult Patients: Korea National Health and Nutrition Examination Surveys 2007-2012
    Hee-Tae Kim, Kiheon Lee, Se Young Jung, Seung-Min Oh, Su-Min Jeong, Yoon-Jung Choi
    Korean Journal of Family Medicine.2015; 36(5): 203.     CrossRef
  • Determinants of glycaemic control in a practice setting: the role of weight loss and treatment adherence (The DELTA Study)
    C. McAdam‐Marx, B. K. Bellows, S. Unni, J. Mukherjee, G. Wygant, U. Iloeje, J. N. Liberman, X. Ye, F. J. Bloom, D. I. Brixner
    International Journal of Clinical Practice.2014; 68(11): 1309.     CrossRef
  • Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis
    Mohsen Saffari, Ghader Ghanizadeh, Harold G. Koenig
    Primary Care Diabetes.2014; 8(4): 275.     CrossRef
  • The Appropriateness of the Length of Insulin Needles Based on Determination of Skin and Subcutaneous Fat Thickness in the Abdomen and Upper Arm in Patients with Type 2 Diabetes
    Kang Hee Sim, Moon Sook Hwang, Sun Young Kim, Hye Mi Lee, Ji Yeun Chang, Moon Kyu Lee
    Diabetes & Metabolism Journal.2014; 38(2): 120.     CrossRef
  • Diabetes Attitudes, Wishes and Needs second study (DAWN2™): Cross‐national benchmarking of diabetes‐related psychosocial outcomes for people with diabetes
    A. Nicolucci, K. Kovacs Burns, R. I. G. Holt, M. Comaschi, N. Hermanns, H. Ishii, A. Kokoszka, F. Pouwer, S. E. Skovlund, H. Stuckey, I. Tarkun, M. Vallis, J. Wens, M. Peyrot
    Diabetic Medicine.2013; 30(7): 767.     CrossRef
Smaller Mean LDL Particle Size and Higher Proportion of Small Dense LDL in Korean Type 2 Diabetic Patients
Sunghwan Suh, Hyung-Doo Park, Se Won Kim, Ji Cheol Bae, Alice Hyun-Kyung Tan, Hye Soo Chung, Kyu Yeon Hur, Jae Hyeon Kim, Kwang-Won Kim, Moon-Kyu Lee
Diabetes Metab J. 2011;35(5):536-542.   Published online October 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.5.536
  • 5,488 View
  • 49 Download
  • 15 Crossref
AbstractAbstract PDFPubReader   
Background

Small dense low density lipoprotein (sdLDL) has recently emerged as an important risk factor of coronary heart disease.

Methods

The mean LDL particle size was measured in 203 patients with type 2 diabetes mellitus (T2DM) and 212 matched subjects without diabetes using polyacrylamide tube gel electrophoresis. Major vascular complications were defined as stroke, angiographically-documented coronary artery disease or a myocardial infarction. Peripheral vascular stenosis, carotid artery stenosis (≥50% in diameter) or carotid artery plaque were considered minor vascular complications. Overall vascular complications included both major and minor vascular complications.

Results

Diabetic patients had significantly smaller mean-LDL particle size (26.32 nm vs. 26.49 nm) and a higher percentage of sdLDL to total LDL compared to those of subjects without diabetes (21.39% vs. 6.34%). The independent predictors of sdLDL in this study were serum triglyceride level and body mass index (odds ratio [OR], 1.020 with P<0.001 and OR 1.152 with P<0.027, respectively). However, no significant correlations were found between sdLDL and major vascular complications (P=0.342), minor vascular complications (P=0.573) or overall vascular complications (P=0.262) in diabetic subjects.

Conclusion

Diabetic patients had a smaller mean-LDL particle size and higher proportion of sdLDL compared to those of subjects without diabetes. Obese diabetic patients with hypertriglyceridemia have an increased risk for atherogenic small dense LDL. However, we could not verify an association between LDL particle size and vascular complications in this study.

Citations

Citations to this article as recorded by  
  • Evaluation of measured and calculated small dense low-density lipoprotein in capillary blood and association with the metabolic syndrome
    Sara Deza, Inmaculada Colina, Oscar Beloqui, José Ignacio Monreal, Estéfani Martínez-Chávez, Julia Maroto-García, Carmen Mugueta, Alvaro González, Nerea Varo
    Clinica Chimica Acta.2024; 557: 117897.     CrossRef
  • Nrf2 Signaling Pathway as a Key to Treatment for Diabetic Dyslipidemia and Atherosclerosis
    Michelle Yi, Arvin John Toribio, Yusuf Muhammad Salem, Michael Alexander, Antoney Ferrey, Lourdes Swentek, Ekamol Tantisattamo, Hirohito Ichii
    International Journal of Molecular Sciences.2024; 25(11): 5831.     CrossRef
  • Association between measured or calculated small dense low‐density lipoprotein cholesterol and oxidized low‐density lipoprotein in subjects with or without type 2 diabetes mellitus
    Hyun‐Ki Kim, Jinyoung Hong, Sunyoung Ahn, Woochang Lee, Sail Chun, Won‐Ki Min
    Journal of Clinical Laboratory Analysis.2023;[Epub]     CrossRef
  • The association of apolipoprotein in the risk of ST-elevation myocardial infarction in patients with documented coronary artery disease
    Astuti Giantini, Nur Gifarani Pratiwi, Renan Sukmawan, Joedo Prihartono, Suzanna Immanuel, Merci Monica Pasaribu, Sri Suryo Adiyanti, Yusuf Bahasoan
    International Journal of Cardiology Cardiovascular Risk and Prevention.2023; 18: 200194.     CrossRef
  • Atherogenic Index of Plasma and Its Association with Risk Factors of Coronary Artery Disease and Nutrient Intake in Korean Adult Men: The 2013–2014 KNHANES
    Hye Ran Shin, SuJin Song, Jin Ah Cho, Sun Yung Ly
    Nutrients.2022; 14(5): 1071.     CrossRef
  • The Atherogenic Index of Plasma: A Powerful and Reliable Predictor for Coronary Artery Disease in Patients With Type 2 Diabetes
    Kuo Zhou, Zheng Qin, Jinfan Tian, Kongyong Cui, Yunfeng Yan, Shuzheng Lyu
    Angiology.2021; 72(10): 934.     CrossRef
  • Direct bilirubin is associated with low-density lipoprotein subfractions and particle size in overweight and centrally obese women
    Y.-J. Kwon, H.-S. Lee, J.-W. Lee
    Nutrition, Metabolism and Cardiovascular Diseases.2018; 28(10): 1021.     CrossRef
  • Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks
    Sikandar Hayat Khan, Nadeem Fazal, Athar Abbas Gilani Shah, Syed Mohsin Manzoor, Naveed Asif, Aamir Ijaz, Najmusaqib Khan Niazi, Muhammad Yasir
    Journal of Lipids.2017; 2017: 1.     CrossRef
  • Effects of Small Dense LDL in Diabetic Nephropathy in Females with Type 2 Diabetes Mellitus
    Seongyul Ryu, Youngwoo Kim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Hyun Baek, Ki-Ho Song, Kyung-Jin Yun
    Journal of Lipid and Atherosclerosis.2016; 5(1): 11.     CrossRef
  • Prepregnancy Adverse Lipid Profile and Subsequent Risk of Gestational Diabetes
    Emily S. Han, Ronald M. Krauss, Fei Xu, Sneha B. Sridhar, Assiamira Ferrara, Charles P. Quesenberry, Monique M. Hedderson
    The Journal of Clinical Endocrinology & Metabolism.2016; 101(7): 2721.     CrossRef
  • Meta-analysis of Atherogenic Index of Plasma and other lipid parameters in relation to risk of type 2 diabetes mellitus
    Xiao-Wei Zhu, Fei-Yan Deng, Shu-Feng Lei
    Primary Care Diabetes.2015; 9(1): 60.     CrossRef
  • Higher levels of small dense low‐density lipoprotein (LDL) are associated with cardiac autonomic neuropathy in patients with Type 2 diabetes
    E.‐H. Jang, Y.‐M. Park, J. Hur, M.‐K. Kim, S.‐H. Ko, K.‐H. Baek, K.‐H. Song, K.‐W. Lee, H.‐S. Kwon
    Diabetic Medicine.2013; 30(6): 694.     CrossRef
  • Sleep Status and Low-Density Lipoprotein Particle Size in a General Japanese Female Population: The Mima Study
    Kazuhiko Kotani, Kokoro Tsuzaki, Shinji Fujiwara, Naoki Sakane
    Medical Principles and Practice.2013; 22(5): 510.     CrossRef
  • Serum small-dense LDL abnormalities in chronic renal disease patients
    M. Chu, A. Y. M. Wang, I. H. S. Chan, S. H. Chui, C. W. K. Lam
    British Journal of Biomedical Science.2012; 69(3): 99.     CrossRef
  • Small Dense Low-density Lipoprotein and Cardiovascular Disease
    Sunghwan Suh, Moon-Kyu Lee
    Journal of Lipid and Atherosclerosis.2012; 1(1): 1.     CrossRef
Effects of Resistance Training and Aerobic Exercise on Insulin Sensitivity in Overweight Korean Adolescents: A Controlled Randomized Trial
Sunghwan Suh, In-Kyong Jeong, Mi Yeon Kim, Yeon Soo Kim, Sue Shin, Sun Sin Kim, Jae Hyeon Kim
Diabetes Metab J. 2011;35(4):418-426.   Published online August 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.4.418
  • 22,152 View
  • 58 Download
  • 22 Crossref
AbstractAbstract PDFPubReader   
Background

Data on the impact of resistance training on insulin resistance in overweight or obese children are inconclusive.

Methods

Thirty overweight South Korean adolescents (mean age of 13.10 years) were divided by sex, and then randomly assigned to one of three treatment groups, which were the diet only (DO), diet with aerobic exercise (AE), or diet with resistance training (RT) group. Physiologic and metabolic parameters were assessed at baseline and after 12 weeks of exercise training and diet modification.

Results

Both exercise groups (aerobic and resistance) showed significant improvements in their insulin area under the curve and insulin sensitivity index values when compared to their baseline values while the DO group showed no significant changes in these variables. Age-, sex-, and body mass index (BMI)-adjusted intergroup comparison analyses showed a marked reduction in BMI and a significant reduction in muscle mass in the AE group when compared to the RT group and the DO group, respectively.

Conclusion

A 12-week exercise training program of either resistance or aerobic activity improved insulin sensitivity in overweight adolescents, although it failed to show superiority over a DO program. Aerobic exercise decreased both body weight and BMI, and it was noted that this group also had a significant reduction in muscle mass when compared to the DO group.

Citations

Citations to this article as recorded by  
  • Effect of high-intensity interval training and moderate-intensity continuous training on cardiovascular risk factors in adolescents: Systematic review and meta-analysis of randomized controlled trials
    Ya Wang, Shun Wang, Xiangwu Meng, Husheng Zhou
    Physiology & Behavior.2024; 275: 114459.     CrossRef
  • Exercise and Nutrition Strategies for Combating Sarcopenia and Type 2 Diabetes Mellitus in Older Adults
    Dionysia Argyropoulou, Nikolaos D. Geladas, Tzortzis Nomikos, Vassilis Paschalis
    Journal of Functional Morphology and Kinesiology.2022; 7(2): 48.     CrossRef
  • Effects and dose-response relationships of exercise intervention on weight loss in overweight and obese children: a meta-regression and system review
    Rui Xu, Qiao-Ting Huang, Yu-Ting Chen, Peng-Yin Wang
    Journal of Pediatric Endocrinology and Metabolism.2022; 35(9): 1117.     CrossRef
  • The Benefits of Resistance Training in Obese Adolescents: A Systematic Review and Meta-analysis
    Bruno Ribeiro, Pedro Forte, Raquel Vinhas, Daniel A. Marinho, Luís B. Faíl, Ana Pereira, Fernando Vieira, Henrique P. Neiva
    Sports Medicine - Open.2022;[Epub]     CrossRef
  • Effects of Eight Weeks of Combined Training with Antioxidant Vitamins E and C on Glutathione, Glutathione Peroxidase, and Superoxide Dismutase in the Heart Tissue of Streptozotocin-induced Diabetic Rats
    Elaheh Heydarnia, Farzaneh Taghian, Khosro Jalali Dehkodi, Mehrzad Moghadasi
    Gene, Cell and Tissue.2021;[Epub]     CrossRef
  • Effect of resistance training with and without caloric restriction on visceral fat: A systemic review and meta‐analysis
    Mousa Khalafi, Abbas Malandish, Sara K. Rosenkranz, Ali A. Ravasi
    Obesity Reviews.2021;[Epub]     CrossRef
  • IMPACT OF TREADMILL RUNNING ON BLOOD GLUCOSE LEVEL OF TYPE 2 DIABETES MELLITUS PATIENTS IN GHURKI TRUST AND TEACHING HOSPITAL
    Samiya Noreen, Muhammad Shafique, Tayyaba Mustafa Mian, Hafiz Abdul Rehman, Abdul Rehman, Muhammad Saad Shafiq, Ibraheem Zafar, Ramsha Masood
    Pakistan BioMedical Journal.2021;[Epub]     CrossRef
  • Role of exercise on insulin sensitivity and beta-cell function: is exercise sufficient for the prevention of youth-onset type 2 diabetes?
    Joon Young Kim, Justin Y. Jeon
    Annals of Pediatric Endocrinology & Metabolism.2020; 25(4): 208.     CrossRef
  • Effects of HIIT and MICT on cardiovascular risk factors in adults with overweight and/or obesity: A meta-analysis
    LiQiang Su, JinMei Fu, ShunLi Sun, GuangGao Zhao, Wei Cheng, ChuanChuan Dou, MingHui Quan, Belinda Parmenter
    PLOS ONE.2019; 14(1): e0210644.     CrossRef
  • What Is the Role of Resistance Exercise in Improving the Cardiometabolic Health of Adolescents with Obesity?
    SoJung Lee, YoonMyung Kim, Jennifer L. Kuk
    Journal of Obesity & Metabolic Syndrome.2019; 28(2): 76.     CrossRef
  • Does exercise training affect resting metabolic rate in adolescents with obesity?
    Angela S. Alberga, Denis Prud’homme, Ronald J. Sigal, Gary S. Goldfield, Stasia Hadjiyannakis, Réjeanne Gougeon, Penny Phillips, Janine Malcolm, George A. Wells, Steve Doucette, Jinhui Ma, Glen P. Kenny
    Applied Physiology, Nutrition, and Metabolism.2017; 42(1): 15.     CrossRef
  • Iniciación al entrenamiento de fuerza en edades tempranas: revisión
    G. Peña, J.R. Heredia, C. Lloret, M. Martín, M.E. Da Silva-Grigoletto
    Revista Andaluza de Medicina del Deporte.2016; 9(1): 41.     CrossRef
  • Effects of aerobic training, resistance training, or both on cardiorespiratory and musculoskeletal fitness in adolescents with obesity: the HEARTY trial
    Angela S. Alberga, Denis Prud’homme, Ronald J. Sigal, Gary S. Goldfield, Stasia Hadjiyannakis, Penny Phillips, Janine Malcolm, Jinhui Ma, Steve Doucette, Rejeanne Gougeon, George A. Wells, Glen P. Kenny
    Applied Physiology, Nutrition, and Metabolism.2016; 41(3): 255.     CrossRef
  • The response of circulating omentin-1 concentration to 16-week exercise training in male children with obesity
    Farzad Zehsaz, Negin Farhangi, Mehri Ghahramani
    The Physician and Sportsmedicine.2016; 44(4): 355.     CrossRef
  • Epidemiology of Childhood Obesity in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    Endocrinology and Metabolism.2016; 31(4): 510.     CrossRef
  • Muscle strength in youth and cardiovascular risk in young adulthood (the European Youth Heart Study)
    Anders Grøntved, Mathias Ried-Larsen, Niels Christian Møller, Peter Lund Kristensen, Karsten Froberg, Søren Brage, Lars Bo Andersen
    British Journal of Sports Medicine.2015; 49(2): 90.     CrossRef
  • Position statement on youth resistance training: the 2014 International Consensus
    Rhodri S Lloyd, Avery D Faigenbaum, Michael H Stone, Jon L Oliver, Ian Jeffreys, Jeremy A Moody, Clive Brewer, Kyle C Pierce, Teri M McCambridge, Rick Howard, Lee Herrington, Brian Hainline, Lyle J Micheli, Rod Jaques, William J Kraemer, Michael G McBride
    British Journal of Sports Medicine.2014; 48(7): 498.     CrossRef
  • Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
    Claudia-María Velásquez-Rodríguez, Marcela Velásquez-Villa, Leidy Gómez-Ocampo, Juliana Bermúdez-Cardona
    BMC Pediatrics.2014;[Epub]     CrossRef
  • Exercise and Insulin Resistance in Youth: A Meta-Analysis
    Michael V. Fedewa, Nicholas H. Gist, Ellen M. Evans, Rod K. Dishman
    Pediatrics.2014; 133(1): e163.     CrossRef
  • What is the Effect of Resistance Training on the Strength, Body Composition and Psychosocial Status of Overweight and Obese Children and Adolescents? A Systematic Review and Meta-Analysis
    Natasha Schranz, Grant Tomkinson, Tim Olds
    Sports Medicine.2013; 43(9): 893.     CrossRef
  • A Review of Randomized Controlled Trials of Aerobic Exercise Training on Fitness and Cardiometabolic Risk Factors in Obese Adolescents
    A. S. Alberga, A. Frappier, R. J. Sigal, D. Prud'homme, G. P. Kenny
    The Physician and Sportsmedicine.2013; 41(2): 44.     CrossRef
  • Effects of Aerobic Versus Resistance Exercise Without Caloric Restriction on Abdominal Fat, Intrahepatic Lipid, and Insulin Sensitivity in Obese Adolescent Boys
    SoJung Lee, Fida Bacha, Tamara Hannon, Jennifer L. Kuk, Chris Boesch, Silva Arslanian
    Diabetes.2012; 61(11): 2787.     CrossRef
Response: The Relationship between Lung Function and Metabolic Syndrome in Obese and Non-Obese Korean Adult Males (Korean Diabetes J 2010;34:253-60)
Soo Kyoung Kim, Jae Hyeon Kim
Korean Diabetes J. 2010;34(5):329-330.   Published online October 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.5.329
  • 2,749 View
  • 26 Download
PDFPubReader   
The Relationship between Lung Function and Metabolic Syndrome in Obese and Non-Obese Korean Adult Males
Soo Kyoung Kim, Kyu Yeon Hur, Yoon Ho Choi, Sun Wook Kim, Jae Hoon Chung, Hee Kyung Kim, Moon-Kyu Lee, Yong-Ki Min, Kwang-Won Kim, Jae Hyeon Kim
Korean Diabetes J. 2010;34(4):253-260.   Published online August 31, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.4.253
  • 4,741 View
  • 36 Download
  • 14 Crossref
AbstractAbstract PDFPubReader   
Background

The existence of an association between lung function and metabolic syndrome (MetS) has been debated in cases involving non-obese subjects. To address this debate, we performed a cross-sectional study to investigate the association between lung function and MetS in both obese and non-obese populations.

Methods

The present study consisted of a total of 1,951 Korean male subjects. In this study group, we investigated relationships between lung function and MetS risk factors such as fasting serum glucose, systolic blood pressure (SBP), insulin resistance index, waist circumference (WC), and hemoglobin A1C level.

Results

Forced vital capacity (FVC) values were significantly lower in the MetS group compared with those of the non-MetS group. In both non-obese (body mass index [BMI] < 25 kg/m2) and obese subjects (BMI ≥ 25 kg/m2), fasting serum glucose, hemoglobin A1C level, insulin resistance index, SBP, WC, and the prevalences of diabetes and MetS were significantly higher in subjects in the lowest FVC quartile compared with those in the highest FVC quartile. Odds ratios for the presence of MetS risk factors, after adjusting for age and height, ranged from 1.21 to 1.39 (P < 0.01) for a one standard deviation decrease in FVC.

Conclusion

The results of our study suggest that decreased vital capacity in Korean adult male subjects is associated with MetS, irrespective of obesity.

Citations

Citations to this article as recorded by  
  • The impact of insulin resistance on the association between metabolic syndrome and lung function: the Kangbuk Samsung Health Study
    Jonghoo Lee, Hye Kyeong Park, Min-Jung Kwon, Soo-Youn Ham, Hyun-Il Gil, Si-Young Lim, Jae-Uk Song
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Pulmonary Function in Metabolic Syndrome: A Meta-Analysis
    Ning-ning Fang, Zhi-hao Wang, Shao-hua Li, Yu-yan Ge, Xin Liu, Dong-xin Sui
    Metabolic Syndrome and Related Disorders.2022; 20(10): 606.     CrossRef
  • Determinants of Longitudinal Change of Lung Function in Different Gender in a Large Taiwanese Population Follow-Up Study Categories: Original Investigation
    Chia-Heng Chang, Szu-Chia Chen, Jiun-Hung Geng, Da-Wei Wu, Jiun-Chi Huang, Pei-Yu Wu
    Journal of Personalized Medicine.2021; 11(10): 1033.     CrossRef
  • The Association between Pulmonary Functions and Incident Diabetes: Longitudinal Analysis from the Ansung Cohort in Korea
    Hoon Sung Choi, Sung Woo Lee, Jin Taek Kim, Hong Kyu Lee
    Diabetes & Metabolism Journal.2020; 44(5): 699.     CrossRef
  • Interactive effects of adiposity and insulin resistance on the impaired lung function in asthmatic adults: cross-sectional analysis of NHANES data
    Roham Sadeghimakki, Huw David McCarthy
    Annals of Human Biology.2019; 46(1): 56.     CrossRef
  • Maternal protein restriction during lactation induces early and lasting plasma metabolomic and hepatic lipidomic signatures of the offspring in a rodent programming model
    Aurore Martin Agnoux, Angélina El Ghaziri, Thomas Moyon, Anthony Pagniez, Agnès David, Gilles Simard, Patricia Parnet, El Mostafa Qannari, Dominique Darmaun, Jean-Philippe Antignac, Marie-Cécile Alexandre-Gouabau
    The Journal of Nutritional Biochemistry.2018; 55: 124.     CrossRef
  • Is decreased lung function associated with chronic kidney disease? A retrospective cohort study in Korea
    Soo Kyoung Kim, Ji Cheol Bae, Jong-Ha Baek, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim
    BMJ Open.2018; 8(4): e018928.     CrossRef
  • Association between HOMA-IR and Lung Function in Korean Young Adults based on the Korea National Health and Nutrition Examination Survey
    Young Bok Lee, Young Soo Kim, Dong-Hee Lee, Hee Yeon Kim, Jae-Im Lee, Hyo-Suk Ahn, Tae Seo Sohn, Tae-Kyu Lee, Jae Yen Song, Chang Dong Yeo, Mihee Hong, Kyungdo Han, Seong Cheol Jeong, Hiun Suk Chae
    Scientific Reports.2017;[Epub]     CrossRef
  • Spirometric prediction equations and the relationship between metabolic syndrome and spirometric parameters from an island in Fujian, China
    Yu‐Sheng Chen, Xiao‐Qin Li, Hong‐Ru Li, Xiao‐Li Yu, Feng‐Feng Lu, Li‐Ping Huang, Yan Miao, Gui‐Qing Wang, Xiao Lin, Shuang‐Qing Lian, Yun‐Hua Lin, Xiang‐E Zhang, Ting Liu, Yan‐Ling Wu
    The Clinical Respiratory Journal.2017; 11(4): 514.     CrossRef
  • Decline in lung function rather than baseline lung function is associated with the development of metabolic syndrome: A six-year longitudinal study
    Soo Kyoung Kim, Ji Cheol Bae, Jong-Ha Baek, Jae Hwan Jee, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim, Cheng Hu
    PLOS ONE.2017; 12(3): e0174228.     CrossRef
  • The relationship between serum fatty-acid binding protein 4 level and lung function in Korean subjects with normal ventilatory function
    Hye-Jeong Park, Se Eun Park, Cheol-Young Park, Seong Yong Lim, Won-Young Lee, Ki-Won Oh, Sung-Woo Park, Eun-Jung Rhee
    BMC Pulmonary Medicine.2016;[Epub]     CrossRef
  • Lung function and metabolic syndrome: Findings of National Health and Nutrition Examination Survey 2007–2010 肺功能与代谢综合征:2007–2010全国健康与营养调查研究结果
    Earl S. Ford, Timothy J. Cunningham, Carla I. Mercado
    Journal of Diabetes.2014; 6(6): 603.     CrossRef
  • Reduced lung function is independently associated with increased risk of type 2 diabetes in Korean men
    Chang-Hee Kwon, Eun-Jung Rhee, Jae-Uk Song, Jung-Tae Kim, Hyon Joo Kwag, Ki-Chul Sung
    Cardiovascular Diabetology.2012;[Epub]     CrossRef
  • Letter: The Relationship between Lung Function and Metabolic Syndrome in Obese and Non-Obese Korean Adult Males (Korean Diabetes J 2010;34:253-60)
    Bo Kyung Koo
    Korean Diabetes Journal.2010; 34(5): 327.     CrossRef
Technology/Device
Article image
Effectiveness of Predicted Low-Glucose Suspend Pump Technology in the Prevention of Hypoglycemia in People with Type 1 Diabetes Mellitus: Real-World Data Using DIA:CONN G8
Jee Hee Yoo, Ji Yoon Kim, Jae Hyeon Kim
Received January 24, 2024  Accepted March 29, 2024  Published online August 28, 2024  
DOI: https://doi.org/10.4093/dmj.2024.0039    [Epub ahead of print]
  • 425 View
  • 26 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
We evaluated the effectiveness of the predictive low-glucose suspend (PLGS) algorithm in the DIA:CONN G8. Forty people with type 1 diabetes mellitus (T1DM) who used a DIA:CONN G8 for at least 2 months with prior experience using pumps without and with PLGS were retrospectively analyzed. The objective was to assess the changes in time spent in hypoglycemia (percent of time below range [%TBR]) before and after using PLGS. The mean age, sensor glucose levels, glucose threshold for suspension, and suspension time were 31.1±22.8 years, 159.7±23.2 mg/dL, 81.1±9.1 mg/dL, and 111.9±79.8 min/day, respectively. Overnight %TBR <70 mg/dL was significantly reduced after using the algorithm (differences=0.3%, from 1.4%±1.5% to 1.1%±1.2%, P=0.045). The glycemia risk index (GRI) improved significantly by 4.2 (from 38.8±20.9 to 34.6±19.0, P=0.002). Using the PLGS did not result in a change in the hyperglycemia metric (all P>0.05). Our findings support the PLGS in DIA:CONN G8 as an effective algorithm to improve night-time hypoglycemia and GRI in people with T1DM.
Metabolic Risk/Epidemiology
Article image
Metabolic Dysfunction-Associated Steatotic Liver Disease and All-Cause and Cause-Specific Mortality
Rosa Oh, Seohyun Kim, So Hyun Cho, Jiyoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
Received January 26, 2024  Accepted June 17, 2024  Published online August 28, 2024  
DOI: https://doi.org/10.4093/dmj.2024.0042    [Epub ahead of print]
  • 794 View
  • 54 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Given the association between nonalcoholic fatty liver disease and metabolic risks, a new term, metabolic dysfunction- associated steatotic liver disease (MASLD) has been proposed. We aimed to explore the association between MASLD and all-cause, cause-specific mortalities.
Methods
We included individuals with steatotic liver disease (SLD) from the Korean National Health Insurance Service. Moreover, SLD was defined as a fatty liver index ≥30. Furthermore, MASLD, metabolic alcohol-associated liver disease (MetALD), and alcoholic liver disease (ALD) with metabolic dysfunction (MD) were categorized based on alcohol consumption and MD. We also analyzed all-cause, liver-, cancer-, hepatocellular carcinoma (HCC)- and cardiovascular (CV)-related mortalities.
Results
This retrospective nationwide cohort study included 1,298,993 individuals aged 40 to 79 years for a mean follow-up duration of 9.04 years. The prevalence of MASLD, MetALD, and ALD with MD was 33.11%, 3.93%, and 1.00%, respectively. Relative to the “no SLD” group, multivariable analysis identified that MASLD (adjusted hazard ratio [aHR], 1.28; 95% confidence interval [CI], 1.26 to 1.31), MetALD (aHR, 1.38; 95% CI, 1.32 to 1.44), and ALD with MD group (aHR, 1.80; 95% CI, 1.68 to 1.93) have a significantly higher risk of all-cause mortality. Furthermore, MASLD, MetALD, ALD with MD groups showed higher liver-, cancer- and HCC-related mortality than “no SLD” group. While all-cause specific mortalities increase from MASLD to MetALD to ALD with MD, the MetALD group shows a lower risk of CV-related mortality compared to MASLD. However, ALD with MD group still have a higher risk of CV-related mortality compared to MASLD.
Conclusion
SLD is associated with an increased risk of all-cause, liver-, cancer-, HCC-, and CV-related mortalities.

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP