Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Author index

Page Path
HOME > Browse > Author index
Search
Hae Jin Kim  (Kim HJ) 12 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
  • 3,052 View
  • 290 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
Drug Regimen
Article image
Efficacy and Safety of Evogliptin Add-on Therapy to Dapagliflozin/Metformin Combinations in Patients with Poorly Controlled Type 2 Diabetes Mellitus: A 24-Week Multicenter Randomized Placebo-Controlled Parallel-Design Phase-3 Trial with a 28-Week Extension
Jun Sung Moon, Il Rae Park, Hae Jin Kim, Choon Hee Chung, Kyu Chang Won, Kyung Ah Han, Cheol-Young Park, Jong Chul Won, Dong Jun Kim, Gwan Pyo Koh, Eun Sook Kim, Jae Myung Yu, Eun-Gyoung Hong, Chang Beom Lee, Kun-Ho Yoon
Diabetes Metab J. 2023;47(6):808-817.   Published online September 26, 2023
DOI: https://doi.org/10.4093/dmj.2022.0387
  • 4,048 View
  • 345 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study investigates the long-term efficacy and safety of evogliptin add-on therapy in patients with inadequately controlled type 2 diabetes mellitus (T2DM) previously received dapagliflozin and metformin (DAPA/MET) combination.
Methods
In this multicenter randomized placebo-controlled phase 3 trial, patients with glycosylated hemoglobin (HbA1c) levels 7.0% to 10.5% (n=283) previously used DAPA 10 mg plus MET (≥1,000 mg) were randomly assigned to the evogliptin 5 mg once daily or placebo group (1:1). The primary endpoint was the difference in the HbA1c level from baseline at week 24, and exploratory endpoints included the efficacy and safety of evogliptin over 52 weeks (trial registration: ClinicalTrials.gov NCT04170998).
Results
Evogliptin add-on to DAPA/MET therapy was superior in HbA1c reduction compared to placebo at weeks 24 and 52 (least square [LS] mean difference, –0.65% and –0.55%; 95% confidence interval [CI], –0.79 to –0.51 and –0.71 to –0.39; P<0.0001). The proportion of patients achieving HbA1c <7% was higher in the triple combination group at week 52 (32.14% vs. 8.51% in placebo; odds ratio, 5.62; P<0.0001). Evogliptin significantly reduced the fasting glucose levels and mean daily glucose levels with improvement in homeostatic model assessment of β-cell function (LS mean difference, 9.04; 95% CI, 1.86 to 16.21; P=0.0138). Adverse events were similar between the groups, and no serious adverse drug reactions were reported in the evogliptin group.
Conclusion
Long-term triple combination with evogliptin added to DAPA/MET showed superior HbA1c reduction and glycemic control compared to placebo at 52 weeks and was well tolerated.

Citations

Citations to this article as recorded by  
  • 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
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
  • 8,922 View
  • 1,034 Download
  • 26 Web of Science
  • 31 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
  • Efficacy and safety of a fixed‐dose combination of dapagliflozin and linagliptin (AJU‐A51) in patients with type 2 diabetes mellitus: A multicentre, randomized, double‐blind, parallel‐group, placebo‐controlled phase III study
    Jun Hwa Hong, Myung Jin Kim, Kyung Wan Min, Jong Chul Won, Tae Nyun Kim, Byung‐Wan Lee, Jun Goo Kang, Jae Hyeon Kim, Jung Hwan Park, Bon Jeong Ku, Chang Beom Lee, Sang Yong Kim, Ho Sang Shon, Woo Je Lee, Joong‐Yeol Park
    Diabetes, Obesity and Metabolism.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
Cardiovascular Risk/Epidemiology
Article image
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, on Behalf of the Committee of Practice Guideline of Korean Lipid and Atheroscelerosis
Diabetes Metab J. 2023;47(1):45-58.   Published online January 26, 2023
DOI: https://doi.org/10.4093/dmj.2021.0344
  • 4,100 View
  • 299 Download
  • 6 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There are no clear data to support the cardiovascular (CV) risk categories and low-density lipoprotein cholesterol (LDL-C) treatment goals in Korean people with type 2 diabetes mellitus (T2DM). We evaluated the incidence of cardiovascular disease (CVD) according to comorbidities and suggested LDL-C treatment goals in Korean people with T2DM in nationwide cohort data.
Methods
Using the Korean National Health Insurance Service database, 248,002 people aged 30 to 90 years with T2DM who underwent routine health check-ups during 2009 were included. Subjects with previous CVD were excluded from the study. The primary outcome was incident CVD, defined as a composite of myocardial infarction and ischemic stroke during the follow-up period from 2009 to 2018.
Results
The mean age of the study participants was 59.6±10.9 years, and median follow-up period was 9.3 years. CVD incidence increased in the order of DM duration of 5 years or more (12.04/1,000 person-years), hypertension (HT) (12.27/1,000 personyears), three or more CV risk factors (14.10/1,000 person-years), and chronic kidney disease (18.28/1,000 person-years). The risk of incident CVD increased linearly from an LDL-C level of ≥70 mg/dL in most patients with T2DM. In T2DM patients without HT or with a DM duration of less than 5 years, the CVD incidence increased from LDL-C level of ≥100 mg/dL.
Conclusion
For primary prevention of CVD in Korean adults with T2DM, it can be helpful to lower LDL-C targets when there are chronic kidney disease, HT, a long duration of diabetes mellitus, or three or more CV risk factors.

Citations

Citations to this article as recorded by  
  • 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
    Diabetes & Metabolism Journal.2024; 48(4): 546.     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
  • 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
  • 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
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     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
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • Significant Gap Between Guidelines and Practice in the Management of LDL Cholesterol: Insight From the Survey of the Korean Society of Myocardial Infarction
    Sang Yeub Lee, Kyung Hoon Cho, Jang Hoon Lee, Young Joon Hong, Jin yong Hwang, Myung Ho Jeong, Weon Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
Cardiovascular Risk/Epidemiology
Article image
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, on Behalf of the Committee of Practice Guideline of Korean Lipid and Atheroscelerosis
Diabetes Metab J. 2023;47(1):59-71.   Published online January 26, 2023
DOI: https://doi.org/10.4093/dmj.2021.0320
  • 3,966 View
  • 255 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To validate the treatment target of low-density lipoprotein cholesterol (LDL-C) level according to the cardiovascular disease (CVD) risk which was recommended by Korean dyslipidemia guideline.
Methods
We used the Korean National Health Insurance Service database which included 3,958,048 people aged 20 to 89 years who underwent regular health screening. The primary outcome was incident CVD, defined as a composite of myocardial infarction and stroke during the follow-up period from 2009 to 2018.
Results
The risk of CVD increased from LDL-C level of 70 mg/dL in very high-risk and high-risk groups and from 130 mg/dL in moderate-risk and low-risk groups. Adjusted hazard ratios (HRs) of LDL-C ranges 70–99, 100–129, 130–159, 160–189, and ≥190 mg/dL were 1.20 (95% confidence interval [CI], 1.08–1.33), 1.27 (1.15–1.42), 1.39 (1.23–1.56), 1.69 (1.45–1.96), and 1.84 (1.49– 2.27) in very high-risk group, and 1.07 (1.02–1.13), 1.16 (1.10–1.21), 1.29 (1.22–1.36), 1.45 (1.36–1.55), and 1.73 (1.58–1.90) in high-risk group. Adjusted HRs (95% CI) of LDL-C ranges 130–159, 160–189, and ≥190 mg/dL were 1.15 (1.11–1.20), 1.28 (1.22– 1.34), and 1.45 (1.36–1.54) in moderate-risk group and 1.07 (1.02–1.13), 1.20 (1.13–1.26), and 1.47 (1.37–1.57) in low-risk group.
Conclusion
We confirmed the incidence of CVD was increased in higher LDL-C range. The risk of CVD increased from ≥70 mg/dL of LDL-C in very high-risk and high-risk groups, and from ≥130 mg/dL of LDL-C in moderate-risk and low-risk groups in Korean adults.

Citations

Citations to this article as recorded by  
  • Efficacy and Safety of a Single-Pill Triple Combination of Olmesartan, Amlodipine, and Rosuvastatin in Hypertensive Patients with Low-to-Moderate Cardiovascular Risk: A Multicenter, Randomized, Open-Label, Active-Control, Phase IV Clinical Trial
    Byung Jin Kim, Kwang Soo Cha, Wook Hyun Cho, Eung Ju Kim, Seung-Hyuk Choi, Moo Hyun Kim, Sang-Hyun Kim, Jun-Bean Park, Seong-Mi Park, Il Suk Sohn, Kyu Hyung Ryu, In-Ho Chae
    Journal of Cardiovascular Pharmacology and Therapeutics.2023;[Epub]     CrossRef
Drug/Regimen
Comparison of Efficacy of Glimepiride, Alogliptin, and Alogliptin-Pioglitazone as the Initial Periods of Therapy in Patients with Poorly Controlled Type 2 Diabetes Mellitus: An Open-Label, Multicenter, Randomized, Controlled Study
Hae Jin Kim, In Kyung Jeong, Kyu Yeon Hur, Soo-Kyung Kim, Jung Hyun Noh, Sung Wan Chun, Eun Seok Kang, Eun-Jung Rhee, Sung Hee Choi
Diabetes Metab J. 2022;46(5):689-700.   Published online March 17, 2022
DOI: https://doi.org/10.4093/dmj.2021.0183
  • 6,691 View
  • 393 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The choice of an optimal oral hypoglycemic agent in the initial treatment periods for type 2 diabetes mellitus (T2DM) patients remains difficult and deliberate. We compared the efficacy and safety of glimepiride (GLIM), alogliptin (ALO), and alogliptin-pioglitazone (ALO-PIO) in poorly controlled T2DM patients with drug-naïve or metformin failure.
Methods
In this three-arm, multicenter, open-label, randomized, controlled trial, poorly controlled T2DM patients were randomized to receive GLIM (n=35), ALO (n=31), or ALO-PIO (n=33) therapy for 24 weeks. The primary endpoint was change in the mean glycosylated hemoglobin (HbA1c) levels at week 24 from baseline. Secondary endpoints were changes in HbA1c level at week 12 from baseline, fasting plasma glucose (FPG) levels, lipid profiles at weeks 12 and 24, and parameters of glycemic variability, assessed by continuous glucose monitoring for 24 weeks.
Results
At weeks 12 and 24, the ALO-PIO group showed significant reduction in HbA1c levels compared to the ALO group (–0.96%±0.17% vs. –0.37%±0.17% at week 12; –1.13%±0.19% vs. –0.18%±0.2% at week 24). The ALO-PIO therapy caused greater reduction in FPG levels and significant increase in high-density lipoprotein cholesterol levels at weeks 12 and 24 than the ALO therapy. Compared to low-dose GLIM therapy, ALO-PIO therapy showed greater improvement in glycemic variability. The adverse events were similar among the three arms.
Conclusion
ALO-PIO combination therapy during the early period exerts better glycemic control than ALO monotherapy and excellency in glycemic variability than low-dose sulfonylurea therapy in uncontrolled, drug-naïve or metformin failed T2DM patients.

Citations

Citations to this article as recorded by  
  • A Comprehensive Review on Weight Loss Associated with Anti-Diabetic Medications
    Fatma Haddad, Ghadeer Dokmak, Maryam Bader, Rafik Karaman
    Life.2023; 13(4): 1012.     CrossRef
  • Role of Dipeptidyl Peptidase 4 Inhibitors in Antidiabetic Treatment
    Ruili Yin, Yongsong Xu, Xin Wang, Longyan Yang, Dong Zhao
    Molecules.2022; 27(10): 3055.     CrossRef
Lifestyle
Body Fat Is Related to Sedentary Behavior and Light Physical Activity but Not to Moderate-Vigorous Physical Activity in Type 2 Diabetes Mellitus
Keun Hee An, Kyung Ah Han, Tae Seo Sohn, Ie Byung Park, Hae Jin Kim, Sung Dae Moon, Kyung Wan Min
Diabetes Metab J. 2020;44(2):316-325.   Published online November 12, 2019
DOI: https://doi.org/10.4093/dmj.2019.0029
  • 6,286 View
  • 147 Download
  • 10 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

Sedentary behavior (SB) has emerged as a new risk factor for cardiovascular accidents. We investigated whether physical activity levels or SB were related to percent body fat (%BF) in type 2 diabetes mellitus (T2DM).

Methods

In this cross sectional study, we measured the duration of SB, light physical activity (LPA), moderate to vigorous physical activity (MVPA), total energy expenditure, and step counts using a wireless activity tracker (Fitbit HR; FB) for 7 days in free-living conditions, along with %BF using a bio impedance analyzer (Inbody; Biospace) in 120 smartphone users with T2DM. Subjects were divided into exercise (Exe, n=68) and non-exercise (nonExe, n=52) groups based on self-reports of whether the recommended exercises (30 min/day, 3 days/week for 3 months) were performed. SBt, LPAt, MVPAt were transformed from SB, LPA, MVPA for normally distributed variables.

Results

Participants were: female, 59.2%; age, 59.3±8.4 years; body mass index, 25.5±3.4 kg/m2; glycosylated hemoglobin (HbA1c), 7.6%±1.2%; %BF, 30.4%±7.1%. They performed SB for 15.7±3.7 hr/day, LPA for 4.4±1.7 hr/day, and MVPA for 0.9±0.8 hr/day. The %BF was related to SBt and LPAt, but not to MVPA after adjustments for age, gender, and HbA1c. VPA was significantly higher in the Exe group than in the nonExe group, but SB, LPA, and moderate physical activity were not different. Predicted %BF was 89.494 to 0.105 (age), −13.047 (gender), −0.507 (HbA1c), −7.655 (LPAt) (F[4, 64]=62.929, P<0.001), with an R2 of 0.785 in multiple linear regression analysis.

Conclusion

Reduced body fat in elderly diabetic patients might be associated with reduced inactivity and increased LPA.

Citations

Citations to this article as recorded by  
  • Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review
    Lotte Bogaert, Iris Willems, Patrick Calders, Eveline Dirinck, Manon Kinaupenne, Marga Decraene, Bruno Lapauw, Boyd Strumane, Margot Van Daele, Vera Verbestel, Marieke De Craemer
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2024; 18(4): 102995.     CrossRef
  • Association between depression, anemia and physical activity using isotemporal substitution analysis
    Hee-kyoung Nam, Jungmi Park, Sung-il Cho
    BMC Public Health.2023;[Epub]     CrossRef
  • The Impact of Wearable Technologies in Health Research: Scoping Review
    Sophie Huhn, Miriam Axt, Hanns-Christian Gunga, Martina Anna Maggioni, Stephen Munga, David Obor, Ali Sié, Valentin Boudo, Aditi Bunker, Rainer Sauerborn, Till Bärnighausen, Sandra Barteit
    JMIR mHealth and uHealth.2022; 10(1): e34384.     CrossRef
  • The Correlation of Prediabetes and Type 2 Diabetes With Adiposity in Adults
    Juan Sun, Zhen Liu, Zimu Zhang, Ziyang Zeng, Weiming Kang
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • The Physical Activity Assessment of Adults With Type 2 Diabetes Using Accelerometer-Based Cut Points: Scoping Review
    Ioana A Moldovan, Alexa Bragg, Anna S Nidhiry, Barbara A De La Cruz, Suzanne E Mitchell
    Interactive Journal of Medical Research.2022; 11(2): e34433.     CrossRef
  • Effects of 4 Weeks of a Technique-Specific Protocol with High-Intensity Intervals on General and Specific Physical Fitness in Taekwondo Athletes: An Inter-Individual Analysis
    Alex Ojeda-Aravena, Tomás Herrera-Valenzuela, Pablo Valdés-Badilla, Jorge Cancino-López, José Zapata-Bastias, José Manuel García-García
    International Journal of Environmental Research and Public Health.2021; 18(7): 3643.     CrossRef
  • Inter-Individual Variability of a High-Intensity Interval Training With Specific Techniques vs. Repeated Sprints Program in Sport-Related Fitness of Taekwondo Athletes
    Alex Ojeda-Aravena, Tomás Herrera-Valenzuela, Pablo Valdés-Badilla, Jorge Cancino-López, José Zapata-Bastias, José Manuel García-García
    Frontiers in Physiology.2021;[Epub]     CrossRef
  • EFFECT OF SPORTS MEDICINE ON REDUCING BODY FAT PERCENTAGE AND LEAN BODY MASS
    Chunyan Fan
    Revista Brasileira de Medicina do Esporte.2021; 27(7): 714.     CrossRef
  • Validation of the effectiveness of a digital integrated healthcare platform utilizing an AI-based dietary management solution and a real-time continuous glucose monitoring system for diabetes management: a randomized controlled trial
    Sung Woon Park, Gyuri Kim, You-Cheol Hwang, Woo Je Lee, Hyunjin Park, Jae Hyeon Kim
    BMC Medical Informatics and Decision Making.2020;[Epub]     CrossRef
  • Brain activity during a working memory task in different postures: an EEG study
    Ju-Yeon Jung, Hwi-Young Cho, Chang-Ki Kang
    Ergonomics.2020; 63(11): 1359.     CrossRef
Clinical Complications
Hypoglycemia and Dementia Risk in Older Patients with Type 2 Diabetes Mellitus: A Propensity-Score Matched Analysis of a Population-Based Cohort Study
Young-Gun Kim, Dong Gyu Park, So Young Moon, Ja Young Jeon, Hae Jin Kim, Dae Jung Kim, Kwan-Woo Lee, Seung Jin Han
Diabetes Metab J. 2020;44(1):125-133.   Published online October 23, 2019
DOI: https://doi.org/10.4093/dmj.2018.0260
  • 7,414 View
  • 220 Download
  • 32 Web of Science
  • 32 Crossref
AbstractAbstract PDFPubReader   
Background

Type 2 diabetes mellitus (T2DM) is associated with an increased risk for dementia. The effects of hypoglycemia on dementia are controversial. Thus, we evaluated whether hypoglycemia increases the risk for dementia in senior patients with T2DM.

Methods

We used the Korean National Health Insurance Service Senior cohort, which includes >10% of the entire senior population of South Korea. In total, 5,966 patients who had ever experienced at least one episode of hypoglycemia were matched with those who had not, using propensity score matching. The risk of dementia was assessed through a survival analysis of matched pairs.

Results

Patients with underlying hypoglycemic events had an increased risk for all-cause dementia, Alzheimer's dementia (AD), and vascular dementia (VaD) compared with those who had not experienced a hypoglycemic event (hazard ratio [HR], 1.254; 95% confidence interval [CI], 1.166 to 1.349; P<0.001 for all-cause dementia; HR, 1.264; 95% CI, 1.162 to 1.375; P<0.001 for AD; HR, 1.286; 95% CI, 1.110 to 1.490; P<0.001 for VaD). According to number of hypoglycemic episodes, the HRs of dementia were 1.170, 1.201, and 1.358 in patients with one hypoglycemic episode, two or three episodes, and more than three episodes, respectively. In the subgroup analysis, hypoglycemia was associated with an increased risk for dementia in both sexes with or without T2DM microvascular or macrovascular complications.

Conclusion

Our findings suggest that patients with a history of hypoglycemia have a higher risk for dementia. This trend was similar for AD and VaD, the two most important subtypes of dementia.

Citations

Citations to this article as recorded by  
  • Potential risk factors for mild cognitive impairment among patients with type 2 diabetes experiencing hypoglycemia
    Ruonan Gao, Menglan Zhan, Sujie Ke, Kejun Wu, Guanlian He, Liqin Qi, Xiaoying Liu, Xiaohong Liu, Lijing Wang, Libin Liu
    Diabetes Research and Clinical Practice.2024; 207: 111036.     CrossRef
  • Association of hypoglycemic events with cognitive impairment in patients with type 2 diabetes mellitus: Protocol for a dose-response meta-analysis
    Min Ye, Ai Hong Yuan, Qi Qi Yang, Qun Wei Li, Fei Yue Li, Yan Wei, Muhammad Shahzad Aslam
    PLOS ONE.2024; 19(2): e0296662.     CrossRef
  • AGE, DISEASE DURATION AND MULTIMORBIDITY AS PREDICTORS OF HYPOGLYCEMIA IN ELDERLY AND SENILE WOMEN WITH TYPE 2 DIABETES MELLITUS
    Polina Ya. Merzlova, Svetlana V. Bulgakova, Dmitry P. Kurmaev, Ekaterina V. Treneva
    Science and Innovations in Medicine.2024;[Epub]     CrossRef
  • A nomogram for predicting the risk of cancer-related cognitive impairment in breast cancer patients based on a scientific symptom model
    Zhongtao Zhou, Jiajia Ren, Qiankun Liu, Shuoshuo Li, Jiahui Xu, Xiaoyan Wu, Yuanxiang Xiao, Zipu Zhang, Wanchen Jia, Huaiyu Bai, Jing Zhang
    Scientific Reports.2024;[Epub]     CrossRef
  • Взаимосвязь гипогликемии и когнитивных нарушений у пожилых пациентов с сахарным диабетом 2 типа
    S. V. Bulgakova, P. Ya. Merzlova, D. P. Kurmaev, E. V. Treneva
    Russian Journal of Geriatric Medicine.2024; (2): 108.     CrossRef
  • Effect of hypoglycemic events on cognitive function in individuals with type 2 diabetes mellitus: a dose–response meta-analysis
    Min Ye, Qiqi Yang, Lele Zhang, Hudie Song, Qin Fu, Jun Qian, Hongyu Xie, Aihong Yuan
    Frontiers in Neurology.2024;[Epub]     CrossRef
  • Hypoglycaemia and the risk of dementia: a population-based cohort study using exposure density sampling
    Wajd Alkabbani, Colleen J Maxwell, Ruth Ann Marrie, Suzanne L Tyas, Iliana C Lega, John-Michael Gamble
    International Journal of Epidemiology.2023; 52(3): 908.     CrossRef
  • Type 2 diabetes mellitus and cognitive function: understanding the connections
    Lisa Dao, Sarah Choi, Matthew Freeby
    Current Opinion in Endocrinology, Diabetes & Obesity.2023; 30(1): 7.     CrossRef
  • Associations of Mid- and Late-Life Severe Hypoglycemic Episodes With Incident Dementia Among Patients With Type 2 Diabetes: A Population-Based Cohort Study
    Wajd Alkabbani, Colleen J. Maxwell, Ruth Ann Marrie, Suzanne L. Tyas, Iliana C. Lega, John-Michael Gamble
    Diabetes Care.2023; 46(2): 331.     CrossRef
  • Nocturnal hypoglycemia is underdiagnosed in older people with insulin‐treated type 2 diabetes: The HYPOAGE observational study
    Anne‐Sophie Boureau, Béatrice Guyomarch, Pierre Gourdy, Ingrid Allix, Cédric Annweiler, Nathalie Cervantes, Guillaume Chapelet, Isabelle Delabrière, Sophie Guyonnet, Rachel Litke, Marc Paccalin, Alfred Penfornis, Pierre‐Jean Saulnier, Matthieu Wargny, Sam
    Journal of the American Geriatrics Society.2023; 71(7): 2107.     CrossRef
  • Dementia in Diabetes: The Role of Hypoglycemia
    Khaled Hameed Husain, Saud Faisal Sarhan, Haya Khaled Ali Abdulla AlKhalifa, Asal Buhasan, Abu Saleh Md Moin, Alexandra E. Butler
    International Journal of Molecular Sciences.2023; 24(12): 9846.     CrossRef
  • Association Between Trajectory of Severe Hypoglycemia and Dementia in Patients With Type 2 Diabetes: A Population-based Study
    Chung-Yi Li, Chia-Lun Kuo, Ya-Hui Chang, Chin-Li Lu, Santi Martini, Wen-Hsuan Hou
    Journal of Epidemiology.2022; 32(9): 423.     CrossRef
  • Severe Hypoglycemia Increases Dementia Risk and Related Mortality: A Nationwide, Population-based Cohort Study
    Eugene Han, Kyung-do Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Seung-Hyun Ko, Yong-ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(5): e1976.     CrossRef
  • Association between hypoglycemia and dementia in patients with diabetes: a systematic review and meta-analysis of 1.4 million patients
    Lifen Huang, Manlian Zhu, Jie Ji
    Diabetology & Metabolic Syndrome.2022;[Epub]     CrossRef
  • Potential Roles of Glucagon-Like Peptide-1 and Its Analogues in Dementia Targeting Impaired Insulin Secretion and Neurodegeneration
    Sidharth Mehan, Sonalika Bhalla, Ehraz Mehmood Siddiqui, Nidhi Sharma, Ambika Shandilya, Andleeb Khan
    Degenerative Neurological and Neuromuscular Disease.2022; Volume 12: 31.     CrossRef
  • Immortal time bias for life-long conditions in retrospective observational studies using electronic health records
    Freya Tyrer, Krishnan Bhaskaran, Mark J. Rutherford
    BMC Medical Research Methodology.2022;[Epub]     CrossRef
  • Glucose-lowering drugs, cognition, and dementia: The clinical evidence
    Che-Yuan Wu, Lila Shapiro, Michael Ouk, Bradley J. MacIntosh, Sandra E. Black, Baiju R. Shah, Walter Swardfager
    Neuroscience & Biobehavioral Reviews.2022; 137: 104654.     CrossRef
  • Switching insulin degludec to insulin glulisine improved nocturnal hypoglycemia and ventricular arrythmia in an elderly type 1 diabetes patient with chronic heart failure: A case report
    Yuriko Hajika, Yuji Kawaguchi, Takako Tanaka, Kenji Hamazaki, Yasuro Kumeda
    Nippon Ronen Igakkai Zasshi. Japanese Journal of Geriatrics.2022; 59(2): 237.     CrossRef
  • Diagnostic, Prognostic, and Mechanistic Biomarkers of Diabetes Mellitus-Associated Cognitive Decline
    Hanan Ehtewish, Abdelilah Arredouani, Omar El-Agnaf
    International Journal of Molecular Sciences.2022; 23(11): 6144.     CrossRef
  • Amyloid $$upbeta$$ (1–42) peptide impairs mitochondrial respiration in primary human brain microvascular endothelial cells: impact of dysglycemia and pre-senescence
    Siva S. V. P. Sakamuri, Venkata N. Sure, Xiaoying Wang, Gregory Bix, Vivian A. Fonseca, Ricardo Mostany, Prasad V. G. Katakam
    GeroScience.2022; 44(6): 2721.     CrossRef
  • Mechanistic Role of Jak3 in Obesity-Associated Cognitive Impairments
    Premranjan Kumar, Jayshree Mishra, Narendra Kumar
    Nutrients.2022; 14(18): 3715.     CrossRef
  • Assessing real-world effectiveness of therapies: what is the impact of incretin-based treatments on hospital use for patients with type 2 diabetes?
    Clémence Bussiere, Pauline Chauvin, Jean-Michel Josselin, Christine Sevilla-Dedieu
    Health Economics Review.2022;[Epub]     CrossRef
  • Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study
    Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
    Diabetes & Metabolism Journal.2022; 46(6): 923.     CrossRef
  • Meta-Analysis: Association Between Hypoglycemia and Serious Adverse Events in Older Patients Treated With Glucose-Lowering Agents
    Katharina Mattishent, Yoon K. Loke
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Hypoglycemia, Vascular Disease and Cognitive Dysfunction in Diabetes: Insights from Text Mining-Based Reconstruction and Bioinformatics Analysis of the Gene Networks
    Olga V. Saik, Vadim V. Klimontov
    International Journal of Molecular Sciences.2021; 22(22): 12419.     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
  • Optimal Type 2 Diabetes Mellitus Management and Active Ageing
    Alessia Maria Calabrese, Valeria Calsolaro, Sara Rogani, Chukwuma Okoye, Nadia Caraccio, Fabio Monzani
    Endocrines.2021; 2(4): 523.     CrossRef
  • Response: Hypoglycemia and Dementia Risk in Older Patients with Type 2 Diabetes Mellitus: A Propensity-Score Matched Analysis of a Population-Based Cohort Study (Diabetes Metab J 2020;44:125–33)
    Seung Jin Han
    Diabetes & Metabolism Journal.2020; 44(2): 360.     CrossRef
  • Severe hypoglycaemia and absolute risk of cause-specific mortality in individuals with type 2 diabetes: a UK primary care observational study
    Francesco Zaccardi, Suping Ling, Claire Lawson, Melanie J. Davies, Kamlesh Khunti
    Diabetologia.2020; 63(10): 2129.     CrossRef
  • Letter: Hypoglycemia and Dementia Risk in Older Patients with Type 2 Diabetes Mellitus: A Propensity-Score Matched Analysis of a Population-Based Cohort Study (Diabetes Metab J 2020;44:125–33)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2020; 44(2): 356.     CrossRef
  • Low‐glucose‐sensitive TRPC6 dysfunction drives hypoglycemia‐induced cognitive impairment in diabetes
    Chengkang He, Peng Gao, Yuanting Cui, Qiang Li, Yingsha Li, Zongshi Lu, Huan Ma, Yu Zhao, Li Li, Fang Sun, Xiaowei Chen, Hongbo Jia, Daoyan Liu, Gangyi Yang, Hongting Zheng, Zhiming Zhu
    Clinical and Translational Medicine.2020;[Epub]     CrossRef
  • Hypoglycaemia and Cardiovascular Disease Risk in Patients with Diabetes
    Niki Katsiki, Kalliopi Kotsa, Anca P. Stoian, Dimitri P. Mikhailidis
    Current Pharmaceutical Design.2020; 26(43): 5637.     CrossRef
The Relationship between Diabetes Mellitus and Health-Related Quality of Life in Korean Adults: The Fourth Korea National Health and Nutrition Examination Survey (2007-2009)
Yong Jun Choi, Min Suk Lee, So Yeon An, Tae Ho Kim, Seung Jin Han, Hae Jin Kim, Yoon-Sok Chung, Kwan Woo Lee, Dae Jung Kim
Diabetes Metab J. 2011;35(6):587-594.   Published online December 26, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.6.587
  • 5,490 View
  • 54 Download
  • 46 Crossref
AbstractAbstract PDFPubReader   
Background

Diabetes is a major health problem in Korea. However, interest in the quality of life in patients with diabetes is low. We examined the effects of diabetes on health-related quality of life (HRQoL) and compared it with HRQoL in the general Korean population using the Fourth Korea National Health and Nutrition Examination Survey (KNHANES IV) (2007-2009).

Methods

Using KNHANES IV data, we compared EuroQol (EQ)-5D and EQ-visual analogue scale (VAS) scores after adjusting for sociodemographic and psychosocial factors as well as for comorbidities (hypertension, heart disease, stroke, arthritis, and chronic renal disease). Logistic regressions were used to explore determinants for the lowest quintile HRQoL scales in the diabetes group.

Results

The mean age of the 14,441 enrolled subjects (6,129 men and 8,312 women) was 52.5±14.5 years. The mean EQ-5D and EQ-VAS scores were significantly lower in the diabetes group (EQ-5D. 0.87; EQ-VAS, 71.94) than in the non-diabetes group (EQ-5D, 0.94; EQ-VAS, 77.40) (P<0.001). Self-reported depressive symptom had a significant effect on lowering the EQ-VAS (odds ratio [OR], 1.7; 95% confidence interval [CI], 1.1 to 2.6) in the diabetes group. Stress level had a significant effect in lowering both the EQ-5D (OR, 2.0; 95% CI, 1.3 to 2.9) and the EQ-VAS (OR, 1.9; 95% CI, 1.3 to 2.9). HbA1c, diabetes duration, and treatment modalities had no significant effect on lowering HRQoL.

Conclusion

Diabetes was clearly associated with impaired HRQoL compared with the non-diabetic population regardless of comorbidities. Therapeutic approaches should focus much more on the subjective perception of health in patients with diabetes.

Citations

Citations to this article as recorded by  
  • Health state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression
    Yubo Wang, Yueru Xu, Huiting Shan, Huimin Pan, Ji Chen, Jianhua Yang
    Health and Quality of Life Outcomes.2024;[Epub]     CrossRef
  • Understanding health‐related quality of life trajectories among older adults with diabetes mellitus: Mixed methods research
    Sunhee Park, Taewha Lee
    Nursing Open.2023; 10(10): 6945.     CrossRef
  • Evaluation of the Relation between Compliance with Mediterranean Diet and Quality of Life of Patients with Type 2 Diabetes
    Meltem Kudret, Fatma Nişancı Kılınç, Sevilay Karahan
    Nutrition and Cancer.2023; 75(2): 562.     CrossRef
  • The status of stigma in patients with type 2 diabetes mellitus and its association with medication adherence and quality of life in China: A cross-sectional study
    Xiaoyan Li, Lingyun Wu, Jie Yun, Qiuhua Sun
    Medicine.2023; 102(26): e34242.     CrossRef
  • Factors Influencing the Subjective Health Status of Men with Insulin-treated Type 2 Diabetes Mellitus: A Secondary Analysis Using Quantile Regression Analysis
    Kang Sun Lee, Hyuk Joon Kim, Young Man Kim, Hye Young Kim
    Journal of Korean Academy of Fundamentals of Nursing.2023; 30(4): 530.     CrossRef
  • Association of temporomandibular disorders and tinnitus with health‐related quality of life: A cross‐sectional study using the Fifth Korea National Health and Nutrition Examination Survey
    Geon‐Sik Kong, Sook‐Hyun Lee, Kyoung Sun Park, Jae‐Heung Cho, Koh‐Woon Kim, In‐Hyuk Ha
    Journal of Oral Rehabilitation.2022; 49(3): 283.     CrossRef
  • Health-related quality of life of patients with type 2 diabetes mellitus at a tertiary care hospital in Ethiopia
    Girma Tekle Gebremariam, Selam Biratu, Metasebia Alemayehu, Abraham Gebregziabiher Welie, Kebede Beyene, Beate Sander, Gebremedhin Beedemariam Gebretekle, Vijayaprakash Suppiah
    PLOS ONE.2022; 17(2): e0264199.     CrossRef
  • The role of nutritional status in the relationship between diabetes and health-related quality of life
    Sohyun Park, Sukyoung Jung, Hyunsook Yoon
    Nutrition Research and Practice.2022; 16(4): 505.     CrossRef
  • Associations between Food Groups and Health-Related Quality of Life in Korean Adults
    Shamirah Nabbosa, Sunghee Lee
    Nutrients.2022; 14(17): 3643.     CrossRef
  • Quality of life among adult patients living with diabetes in Rwanda: a cross-sectional study in outpatient clinics
    Charilaos Lygidakis, Jean Paul Uwizihiwe, Michela Bia, Francois Uwinkindi, Per Kallestrup, Claus Vögele
    BMJ Open.2021; 11(2): e043997.     CrossRef
  • THE RELATIONSHIP BETWEEN SELF-MANAGEMENT AND QUALITY OF LIFE AMONG PATIENTS WITH TYPE 2 DIABETES MELLITUS
    Ninik Ambar Sari, Ceria Nurhayati
    Nurse and Health: Jurnal Keperawatan.2021; 10(2): 343.     CrossRef
  • Measurement of health-related quality of life in patients with diabetes mellitus using EQ-5D-5L in Hong Kong, China
    Eliza Lai yi Wong, Richard Huan Xu, Annie Wai ling Cheung
    Quality of Life Research.2020; 29(7): 1913.     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
  • Health related quality of life and healthcare utilization among adults with diabetes and kidney and eye complications in the United States
    Abdulkarim M. Meraya, Monira Alwhaibi
    Health and Quality of Life Outcomes.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
  • Predictors of Health-Related Quality of Life in Korean Adults with Diabetes Mellitus
    Mihyun Jeong
    International Journal of Environmental Research and Public Health.2020; 17(23): 9058.     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
  • Does ancestry influence health-related quality of life in type 1 diabetes patients? A nationwide study in Brazil
    Deborah Conte Santos, Marcela Haas Pizarro, Bianca S. V. Barros, Laura G. Nunes de Melo, Luis Cristovão Porto, Dayse A. Silva, Marilia Brito Gomes
    Acta Diabetologica.2018; 55(4): 377.     CrossRef
  • Lipid profiles in adolescents with and without asthma: Korea National Health and nutrition examination survey data
    Sun-Hye Ko, Jaewook Jeong, Myong Ki Baeg, Kyung-Do Han, Hwan Soo Kim, Jong-seo Yoon, Hyun Hee Kim, Jin Tack Kim, Yoon Hong Chun
    Lipids in Health and Disease.2018;[Epub]     CrossRef
  • Evaluation of Health Status of Type 2 Diabetes Outpatients Receiving Care in a Tertiary Hospital in Nigeria
    Maxwell Ogochukwu Adibe, Chibueze Anosike, Sunday Odunke Nduka, Abdulmuminu Isah
    PharmacoEconomics - Open.2018; 2(3): 337.     CrossRef
  • Association between chronic conditions and health-related quality of life: differences by level of urbanization in Peru
    Alvaro Taype-Rondan, Elizabeth Sarah Abbs, Maria Lazo-Porras, William Checkley, Robert H. Gilman, Liam Smeeth, J. Jaime Miranda, Antonio Bernabe-Ortiz
    Quality of Life Research.2017; 26(12): 3439.     CrossRef
  • The impact of weight misperception on health-related quality of life in Korean adults (KNHANES 2007–2014): a community-based cross-sectional study
    Susan Park, Sejin Lee, Jinseub Hwang, Jin-Won Kwon
    BMJ Open.2017; 7(6): e016098.     CrossRef
  • Self-efficacy and self-care behaviours among adults with type 2 diabetes
    Melba Sheila D'Souza, Subrahmanya Nairy Karkada, Kader Parahoo, Ramesh Venkatesaperumal, Susan Achora, Arcalyd Rose R. Cayaban
    Applied Nursing Research.2017; 36: 25.     CrossRef
  • Factors associated with health-related quality of life in Koreans aged over 50 Years: the fourth and fifth Korea National Health and Nutrition Examination Survey
    Kyoung Min Kwon, Jung Soo Lee, Na Eun Jeon, Yeo Hyung Kim
    Health and Quality of Life Outcomes.2017;[Epub]     CrossRef
  • Quality of Life in Patients with Osteoporotic Vertebral Compression Fractures
    Ho Jin Jung, Ye-Soo Park, Hyoung-Yeon Seo, Jae-Chul Lee, Ki-Chan An, Jin-Hyok Kim, Byung-Joon Shin, Tae Wook Kang, Si Young Park
    Journal of Bone Metabolism.2017; 24(3): 187.     CrossRef
  • Health Related Quality of Life among Omani Men and Women with Type 2 Diabetes
    Melba Sheila D’Souza, Ramesh Venkatesaperumal, Susan D. Ruppert, Subrahmanya Nairy Karkada, Devakirubai Jacob
    Journal of Diabetes Research.2016; 2016: 1.     CrossRef
  • Heavy Alcohol Consumption with Alcoholic Liver Disease Accelerates Sarcopenia in Elderly Korean Males: The Korean National Health and Nutrition Examination Survey 2008-2010
    Do Seon Song, U Im Chang, Sooa Choi, Yun Duk Jung, Kyungdo Han, Seung-Hyun Ko, Yu-Bae Ahn, Jin Mo Yang, Masaki Mogi
    PLOS ONE.2016; 11(9): e0163222.     CrossRef
  • Negative effect of a previous diagnosis of diabetes on quality of life in a Japanese population: The Gifu Diabetes Study
    Yukiko Nonoyama, Mayumi Yamamoto, Shino Oba, Chisato Nagata, Kazuki Matsui, Jun Takeda
    Diabetology International.2016; 7(2): 148.     CrossRef
  • The impact of type 2 diabetes on health related quality of life in Bangladesh: results from a matched study comparing treated cases with non-diabetic controls
    Novie Safita, Sheikh Mohammed Shariful Islam, Clara K. Chow, Louis Niessen, Andreas Lechner, Rolf Holle, Michael Laxy
    Health and Quality of Life Outcomes.2016;[Epub]     CrossRef
  • Utilities for Type 2 Diabetes Treatment-Related Attributes in a South Korean and Taiwanese Population
    Narayan Rajan, Kristina S. Boye, Meaghan Gibbs, Yoon Ji Lee, Peter Davey, Mark Ball, Steve M. Babineaux
    Value in Health Regional Issues.2016; 9: 67.     CrossRef
  • Knowledge, attitudes, and quality of life of type 2 diabetes patients in Riyadh, Saudi Arabia
    IbrahimSuliman Al-Aboudi, MohammedAzmi Hassali, AsrulAkmal Shafie
    Journal of Pharmacy And Bioallied Sciences.2016; 8(3): 195.     CrossRef
  • Low muscle mass is associated with metabolic syndrome only in nonobese young adults: the Korea National Health and Nutrition Examination Survey 2008-2010
    Byung Chul Kim, Mee Kyoung Kim, Kyungdo Han, Sae-Young Lee, Seung-Hwan Lee, Seung-Hyun Ko, Hyuk-Sang Kwon, Anwar T. Merchant, Hyeon Woo Yim, Won-Chul Lee, Yong Gyu Park, Yong-Moon Park
    Nutrition Research.2015; 35(12): 1070.     CrossRef
  • Insulin Resistance Is Associated with Intraocular Pressure Elevation in a Non-Obese Korean Population
    Yoon Hong Chun, Kyungdo Han, Shin Hae Park, Kyung-Min Park, Hyeon Woo Yim, Won-Chul Lee, Yong Gyu Park, Yong-Moon Park, Stephen L. Atkin
    PLoS ONE.2015; 10(1): e112929.     CrossRef
  • Sarcopenia as a Determinant of Blood Pressure in Older Koreans: Findings from the Korea National Health and Nutrition Examination Surveys (KNHANES) 2008–2010
    Kyungdo Han, Yu-Mi Park, Hyuk-Sang Kwon, Seung-Hyun Ko, Seung-Hwan Lee, Hyeon Woo Yim, Won-Chul Lee, Yong Gyu Park, Mee Kyoung Kim, Yong-Moon Park, Yan Li
    PLoS ONE.2014; 9(1): e86902.     CrossRef
  • Suicidal ideation and suicide attempts among diabetes mellitus: The Korea National Health and Nutrition Examination Survey (KNHANES IV, V) from 2007 to 2012
    Jae Ho Chung, Kitae Moon, Do Hyung Kim, Joo-Won Min, Tae Ho Kim, Hee-Jin Hwang
    Journal of Psychosomatic Research.2014; 77(6): 457.     CrossRef
  • Diabetes and Depressive Symptoms in Korean Women: The Fifth Korean National Health and Nutrition Examination Survey (2010-2011)
    Han Na Sung, Hong Seok Chae, Eung Soo Kim, Jong Sung Kim
    Korean Journal of Family Medicine.2014; 35(3): 127.     CrossRef
  • Factors Associated with Hemorrhoids in Korean Adults: Korean National Health and Nutrition Examination Survey
    Jong-Hyun Lee, Hyo-Eun Kim, Ji-Hun Kang, Jin-Young Shin, Yun-Mi Song
    Korean Journal of Family Medicine.2014; 35(5): 227.     CrossRef
  • The Health Technology Assessment Environment in Mainland China, Japan, South Korea, and Taiwan—Implications for the Evaluation of Diabetes Mellitus Therapies
    Tessa Kennedy-Martin, Beth D. Mitchell, Kristina S. Boye, Wen Chen, Bradley H. Curtis, Jennifer A. Flynn, Shunya Ikeda, Li Liu, Yen Huei Tarn, Bong-Min Yang, Emmanuel Papadimitropoulos
    Value in Health Regional Issues.2014; 3: 108.     CrossRef
  • Can “Healthy” Normal Alanine Aminotransferase Levels Identify the Metabolically Obese Phenotype? Findings from The Korea National Health and Nutrition Examination Survey 2008–2010
    Hee Yeon Kim, Chang Wook Kim, Chang Don Lee, Jong Young Choi, Chung-Hwa Park, Si Hyun Bae, Seung Kew Yoon, Kyungdo Han, Yong-Moon Park
    Digestive Diseases and Sciences.2014; 59(6): 1330.     CrossRef
  • The impact of new screen-detected and previously known type 2 diabetes on health-related quality of life: a population-based study in Qingdao, China
    Yanlei Zhang, Jianping Sun, Zengchang Pang, Xiaoyong Wang, Weiguo Gao, Feng Ning, Jie Ren, Anil Kapur, Harri Sintonen, Qing Qiao
    Quality of Life Research.2014; 23(8): 2319.     CrossRef
  • Increasing achievement of the target goals for glycemic, blood pressure and lipid control for adults with diagnosed diabetes in Korea
    Sung Hoon Yu, Jun Goo Kang, Yoo‐Cheol Hwang, Kyu Jeung Ahn, Hyung Joon Yoo, Hong Yup Ahn, Sung Woo Park, Cheol‐Young Park
    Journal of Diabetes Investigation.2013; 4(5): 460.     CrossRef
  • Psychosocial needs of cancer patients and related factors: a multi‐center, cross‐sectional study in Korea
    Kyung‐Hyun Choi, Jae‐Hyun Park, Jong‐Hyock Park, Joo‐Sung Park
    Psycho-Oncology.2013; 22(5): 1073.     CrossRef
  • Correlates of health-related quality of life in French people with type 2 diabetes
    I. Bourdel-Marchasson, C. Druet, C. Helmer, E. Eschwege, P. Lecomte, M. Le-Goff, A.J. Sinclair, A. Fagot-Campagna
    Diabetes Research and Clinical Practice.2013; 101(2): 226.     CrossRef
  • Diet Therapy in Patients of Diabetic Nephropathy
    Ji-Youn Kim
    The Journal of Korean Diabetes.2013; 14(1): 27.     CrossRef
  • Health‐related quality of life among Tianjin Chinese patients with type 2 diabetes: A cross‐sectional survey
    Ji‐Yan Cong, Yue Zhao, Qun‐Yan Xu, Chun‐De Zhong, Qiu‐Ling Xing
    Nursing & Health Sciences.2012; 14(4): 528.     CrossRef
  • Effects of Frequency of Follow-Up on Quality of Life of Type 2 Diabetes Patients on Oral Hypoglycemics
    Ming Hu, Zhiguang Zhou, Fang Zeng, Zhenqiu Sun
    Diabetes Technology & Therapeutics.2012; 14(9): 777.     CrossRef
Article image
2011 Clinical Practice Guidelines for Type 2 Diabetes in Korea
Seung-Hyun Ko, Sung-Rea Kim, Dong-Joon Kim, Seung-Joon Oh, Hye-Jin Lee, Kang-Hee Shim, Mi-Hye Woo, Jun-Young Kim, Nan-Hee Kim, Jae-Taik Kim, Chong Hwa Kim, Hae Jin Kim, In-Kyung Jeong, Eun-Kyung Hong, Jae-Hyoung Cho, Ji-Oh Mok, Kun-Ho Yoon
Diabetes Metab J. 2011;35(5):431-436.   Published online October 31, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.5.431
  • 58,649 View
  • 61 Download
  • 101 Crossref
AbstractAbstract PDFPubReader   

As in other countries, type 2 diabetes is major health concern in Korea. A dramatic increase in the prevalence of type 2 diabetes and its chronic complications has led to an increase in health costs and economic burdens. Early detection of high risk individuals, hidden diabetic patients, and improvement in the quality of care for the disease are the first steps to mitigate the increase in prevalence. The Committee of Clinical Practice Guidelines of the Korean Diabetes Association revised and updated the '3rd Clinical Practice Guidelines' at the end of 2010. In the guidelines, the committee recommended active screening of high risk individuals for early detection and added the hemoglobin A1c level to the diagnostic criteria for type 2 diabetes based on clinical studies performed in Korea. Furthermore, the committee members emphasized that integrating patient education and self-management is an essential part of care. The drug treatment algorithm based on the degree of hyperglycemia and patient characteristics were also updated.

Citations

Citations to this article as recorded by  
  • Development and Effectiveness of a Pattern Management Educational Program Using Continuous Glucose Monitoring for Type 2 Diabetic Patients in Korea: A Quasi-Experimental Study
    Seung-Yeon Kong, Mi-Kyoung Cho
    Healthcare.2024; 12(14): 1381.     CrossRef
  • SGLT‐2 inhibitors and high‐dose acarbose as potential high‐risk combinations for ketosis and ketoacidosis in Asian patients with T2DM: A case series
    Wei Qiang, Fei Yang, Ling Liu, Ruiqing Dong, Yushi Sun, Ahona Mondal, Hui Guo
    Clinical Case Reports.2024;[Epub]     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 of HbA1c with functional outcome by ischemic stroke subtypes and age
    Jihyun Jeong, Jae Kyung Park, Young Ho Koh, Jong-Moo Park, Hee-Joon Bae, Sang-Moon Yun
    Frontiers in Neurology.2023;[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
  • Correlation between Serum Osmolarity and Creatinine in Health Check-Up Subjects (Examinees) with Diabetes
    Mi-Kyung Park, Geum-Seon Lee, Sun-Hee Kim, Mi-Eun Yun
    The Korean Journal of Community Living Science.2022; 33(2): 237.     CrossRef
  • Dietary antioxidant consumption and the risk of type 2 diabetes in South Korean adults: a prospective cohort study based on the Health Examinees study
    Li-Juan Tan, Su Bin Hwang, Shinyoung Jun, Hyojee Joung, Sangah Shin
    BMJ Open.2022; 12(7): e065073.     CrossRef
  • Investigating the Effectiveness of Very Low-Calorie Diets and Low-Fat Vegan Diets on Weight and Glycemic Markers in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
    Anjali Kashyap, Alexander Mackay, Ben Carter, Claire L. Fyfe, Alexandra M. Johnstone, Phyo K. Myint
    Nutrients.2022; 14(22): 4870.     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
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     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
  • A Review on Metformin: Clinical Significance and Side Effects
    Mazumder Avijit, Singh Ashini
    Research Journal of Pharmacy and Technology.2021; : 6179.     CrossRef
  • Cardiovascular Disease among Patients with Diabetes: The Current Scenario in Saudi Arabia
    Asirvatham Alwin Robert, Mohamed Abdulaziz Al Dawish
    Current Diabetes Reviews.2021; 17(2): 180.     CrossRef
  • Association of Cardiometabolic Multimorbidity Pattern with Dietary Factors among Adults in South Korea
    Dawoon Jeong, Jieun Kim, Hansongyi Lee, Do-Yeon Kim, Hyunjung Lim
    Nutrients.2020; 12(9): 2730.     CrossRef
  • Comparison of effectiveness and drug cost between dipeptidyl peptidase‐4 inhibitor and biguanide as the first‐line anti‐hyperglycaemic medication among Japanese working generation with type 2 diabetes
    Noriko Ihana‐Sugiyama, Takehiro Sugiyama, Hirokazu Tanaka, Kohjiro Ueki, Yasuki Kobayashi, Mitsuru Ohsugi
    Journal of Evaluation in Clinical Practice.2020; 26(1): 299.     CrossRef
  • Exploration of suitable pharmacodynamic parameters for acarbose bioequivalence evaluation: A series of clinical trials with branded acarbose
    Jie Huang, Wen‐yu Liu, Jing‐jing Yu, Jin‐bo Yang, Min Li, Chan Zou, Cheng‐xian Guo, Xiao‐yan Yang, Shuang Yang, Jin‐lian Xie, Zhi‐jun Huang, Hui Chen, Qi Pei, Guo‐ping Yang
    British Journal of Clinical Pharmacology.2020; 86(11): 2225.     CrossRef
  • Sex-, Age-, and Metabolic Disorder-Dependent Distributions of Selected Inflammatory Biomarkers among Community-Dwelling Adults
    So Mi Jemma Cho, Hokyou Lee, Jee-Seon Shim, Hyeon Chang Kim
    Diabetes & Metabolism Journal.2020; 44(5): 711.     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
  • Effect of different dietary patterns on glycemic control in individuals with type 2 diabetes mellitus: A systematic review
    Gabrielli Barbosa de Carvalho, Natalia Lohayne Dias-Vasconcelos, Ramara Kadija Fonseca Santos, Paula Nascimento Brandão-Lima, Danielle Góes da Silva, Liliane Viana Pires
    Critical Reviews in Food Science and Nutrition.2020; 60(12): 1999.     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
  • Chronic Hyperglycemia before Spinal Cord Injury Increases Inflammatory Reaction and Astrogliosis after Injury: Human and Rat Studies
    Ki-Su Park, Jin Bum Kim, Martin Keung, Ye Jin Seo, Sung Young Seo, Seul Ah Mun, Young-Seok Lee, Dae-Chul Cho, Jeong-Hyun Hwang, Inbo Han, Chi Heon Kim, Kyoung-Tae Kim
    Journal of Neurotrauma.2020; 37(9): 1165.     CrossRef
  • National trends in metformin-based combination therapy of oral hypoglycaemic agents for type 2 diabetes mellitus
    Jisu Kim, Susin Park, Hyunsoo Kim, Nam Kyung Je
    European Journal of Clinical Pharmacology.2019; 75(12): 1723.     CrossRef
  • Three-Dimensional Paper-Based Microfluidic Analytical Devices Integrated with a Plasma Separation Membrane for the Detection of Biomarkers in Whole Blood
    Chanyong Park, Hong-Rae Kim, Soo-Kyung Kim, In-Kyung Jeong, Jae-Chul Pyun, Sungsu Park
    ACS Applied Materials & Interfaces.2019; 11(40): 36428.     CrossRef
  • The Effect of Metformin on Prognosis in Patients With Locally Advanced Gastric Cancer Associated With Type 2 Diabetes Mellitus
    Ho Seok Seo, Yoon Ju Jung, Ji Hyun Kim, Han Hong Lee, Cho Hyun Park
    American Journal of Clinical Oncology.2019; 42(12): 909.     CrossRef
  • Discordance in prediction for prognosis of type 2 diabetes after metabolic surgery: comparison of the ABCD, DiaRem, and individualized metabolic surgery models
    Jane Ha, Yeongkeun Kwon, Nam Hoon Kim, Sungsoo Park, Emanuele Lo Menzo, Raul J. Rosenthal
    Annals of Surgical Treatment and Research.2019; 97(6): 309.     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
  • 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
  • Lack of Association between Past Helicobacter pylori Infection and Diabetes: A Two-Cohort Study
    Jeung Hui Pyo, Hyuk Lee, Sung Chul Choi, Soo Jin Cho, Yoon-Ho Choi, Yang Won Min, Byung-Hoon Min, Jun Haeng Lee, Heejin Yoo, Kyunga Kim, Jae J. Kim
    Nutrients.2019; 11(8): 1874.     CrossRef
  • Does Korean diet based on brown rice really have the effect on treating chronic diseases and on suspending drug use?
    Su Jin Jung, Baik Hwan Cho, Soo Wan Chae
    Journal of Ethnic Foods.2018;[Epub]     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
  • Clinical Characteristics of People with Newly Diagnosed Type 2 Diabetes between 2015 and 2016: Difference by Age and Body Mass Index
    Kyoung Hwa Ha, Cheol Young Park, In Kyung Jeong, Hyun Jin Kim, Sang-Yong Kim, Won Jun Kim, Ji Sung Yoon, In Joo Kim, Dae Jung Kim, Sungrae Kim
    Diabetes & Metabolism Journal.2018; 42(2): 137.     CrossRef
  • Distribution of glycated haemoglobin and its determinants in Korean youth and young adults: a nationwide population-based study
    Ji-Young Seo, Seung-sik Hwang, Jae Hyun Kim, Young Ah Lee, Seong Yong Lee, Choong Ho Shin, Sei Won Yang
    Scientific Reports.2018;[Epub]     CrossRef
  • The relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus
    Jin-Won Noh, Jin Hee Jung, Jeong Eun Park, Jung Hwa Lee, Kang Hee Sim, Jumin Park, Min Hee Kim, Ki-Bong Yoo
    Journal of Physical Therapy Science.2018; 30(2): 201.     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
  • Features of Long-Standing Korean Type 2 Diabetes Mellitus Patients with Diabetic Retinopathy: A Study Based on Standardized Clinical Data
    Sejeong Park, Sang Youl Rhee, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo
    Diabetes & Metabolism Journal.2017; 41(5): 393.     CrossRef
  • Letter: Comparison of Age of Onset and Frequency of Diabetic Complications in the Very Elderly Patients with Type 2 Diabetes (Endocrinol Metab2016;31:416-23, Bong-Ki Lee et al.)
    Mee Kyoung Kim
    Endocrinology and Metabolism.2017; 32(1): 140.     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
  • Changes in HbA 1c levels and body mass index after successful decompression surgery in patients with type 2 diabetes mellitus and lumbar spinal stenosis: results of a 2-year follow-up study
    Kyoung-Tae Kim, Dae-Chul Cho, Joo-Kyung Sung, Chi Heon Kim, Hyun Kang, Du Hwan Kim
    The Spine Journal.2017; 17(2): 203.     CrossRef
  • Validation of a Newly Developed Equation for Estimating Serum Apolipoprotein B: Associations with Cardiovascular Disease Surrogate Markers in Koreans
    Jong-Dai Kim, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park
    Yonsei Medical Journal.2017; 58(5): 975.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Diagnostic criteria for diabetes in China: are we pushing too much beyond evidence?
    X Ma, Y-L Zhang, Q Ji, Y Xing, H Pan, S Chen, J-L Tang, S Zhu
    European Journal of Clinical Nutrition.2017; 71(7): 812.     CrossRef
  • Patterns, control and complications of diabetes from a hospital based registry established in a low income country
    Jaweed Akhter, Asma Ahmed, Minaz Mawani, Laila Lakhani, Ayaz Kalsekar, Shehla Tabassum, Najmul Islam
    BMC Endocrine Disorders.2017;[Epub]     CrossRef
  • Analyses of gut microbiota and plasma bile acids enable stratification of patients for antidiabetic treatment
    Yanyun Gu, Xiaokai Wang, Junhua Li, Yifei Zhang, Huanzi Zhong, Ruixin Liu, Dongya Zhang, Qiang Feng, Xiaoyan Xie, Jie Hong, Huahui Ren, Wei Liu, Jing Ma, Qing Su, Hongmei Zhang, Jialin Yang, Xiaoling Wang, Xinjie Zhao, Weiqiong Gu, Yufang Bi, Yongde Peng,
    Nature Communications.2017;[Epub]     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Regional variations in frequency of glycosylated hemoglobin (HbA1c) monitoring in Korea: A multilevel analysis of nationwide data
    Kyoung-Hun Yoo, Dong-Wook Shin, Mi-Hee Cho, Sang-Hyuck Kim, Hyun-Jung Bahk, Shin-Hye Kim, Su-Min Jeong, Jae-Moon Yun, Jin-Ho Park, Heesun Kim, BeLong Cho
    Diabetes Research and Clinical Practice.2017; 131: 61.     CrossRef
  • Fasting plasma glucose concentrations for specified HbA1c goals in Korean populations: data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-2, 2011)
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
    Diabetology & Metabolic Syndrome.2016;[Epub]     CrossRef
  • Metabolic syndrome independently predicts future diabetes in women with a history of gestational diabetes mellitus
    Nam H. Cho, Chang Ho Ahn, Joon Ho Moon, Soo Heon Kwak, Sung Hee Choi, Soo Lim, Kyong Soo Park, Boyd E. Metzger, Hak C. Jang
    Medicine.2016; 95(35): e4582.     CrossRef
  • Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study
    Eun Ky Kim, Soo Heon Kwak, Seungsu Baek, Seung Lyeol Lee, Hak Chul Jang, Kyong Soo Park, Young Min Cho
    Diabetes & Metabolism Journal.2016; 40(3): 192.     CrossRef
  • Effectiveness of Web-Based Interventions for Managing Diabetes in Korea
    Jee Young Joo
    CIN: Computers, Informatics, Nursing.2016; 34(12): 587.     CrossRef
  • Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes
    Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Seawon Hwang, Eun-Jung Yim, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2016; 40(3): 202.     CrossRef
  • A Potential Issue with Screening Prediabetes or Diabetes Using Serum Glucose: A Delay in Diagnosis
    Jun Goo Kang, Cheol-Young Park, Sung-Hee Ihm, Sung Woo Park
    Diabetes & Metabolism Journal.2016; 40(5): 414.     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
  • Efficient Strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes
    Donghe Li, Sungho Won
    Genomics & Informatics.2016; 14(4): 160.     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
  • Glycosylated Hemoglobin Threshold for Predicting Diabetes and Prediabetes from the Fifth Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Cheol-Young Park, Chang Beom Lee, Sung-Hee Ihm
    Diabetes & Metabolism Journal.2016; 40(2): 167.     CrossRef
  • Retrospective Observational Dose-Titration Study of Subjects with Type 2 Diabetes Mellitus with Inadequate Glycemic Control on 15 mg of Pioglitazone
    So Young Ha, Hae Won Jung, Yong Jun Choi, Hyun Kyo Lee, Jong Wook Choi, Ji Hoon Choi, Jung Hyun Noh, Jae Won Hong, Dong-Jun Kim
    The Journal of Korean Diabetes.2016; 17(1): 51.     CrossRef
  • Upper-normal waist circumference is a risk marker for metabolic syndrome in normal-weight subjects
    R. Okada, Y. Yasuda, K. Tsushita, K. Wakai, N. Hamajima, S. Matsuo
    Nutrition, Metabolism and Cardiovascular Diseases.2016; 26(1): 67.     CrossRef
  • Optimal Glycemic and Hemoglobin A1c Thresholds for Diagnosing Diabetes Based on Prevalence of Retinopathy in an Iranian Population
    Naser Samadi Aidenloo, Alireza Mehdizadeh, Neda Valizadeh, Mohammad Abbaszadeh, Siavash Qarequran, Hamidreza Khalkhali
    Iranian Red Crescent Medical Journal.2016;[Epub]     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
  • 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
  • Uncontrolled diabetes mellitus: Prevalence and risk factors among people with type 2 diabetes mellitus in an Urban District of Karachi, Pakistan
    Fahad Javaid Siddiqui, Bilal Iqbal Avan, Sadia Mahmud, Debra J. Nanan, Abdul Jabbar, Pryseley Nkouibert Assam
    Diabetes Research and Clinical Practice.2015; 107(1): 148.     CrossRef
  • Assessment of glycemic control in patients with type 2 diabetes mellitus treated with metformin–sulfonylurea combination: Results of a multicenter, cross‐sectional, observational study in Korea
    Sin Gon Kim, Jong Ryeal Hahm, Duk Kyu Kim, Sung Rae Cho, Dong Seop Choi
    Journal of Diabetes Investigation.2015; 6(3): 317.     CrossRef
  • Avoiding or coping with severe hypoglycemia in patients with type 2 diabetes
    Jae-Seung Yun, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2015; 30(1): 6.     CrossRef
  • The Correlation between Hemoglobin A1c and Common Carotid Artery Intima Medial Thickness of Both Genders with Less Than 6.5% HbA1c Based on Ultrasound Measurement
    Yeongju Ryu, Youngjin Park, Byeong Jin Ye
    Korean Journal of Health Promotion.2015; 15(2): 47.     CrossRef
  • Increased prevalence of albuminuria in individuals with higher range of impaired fasting glucose: the 2011 Korea National Health and Nutrition Examination Survey
    Jong Chul Won, Jae Won Hong, Jung Min Kim, Tae Nyun Kim, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
    Journal of Diabetes and its Complications.2015; 29(1): 50.     CrossRef
  • The Association between Chronic Kidney Disease and Diabetic Retinopathy: The Korea National Health and Nutrition Examination Survey 2008-2010
    Young-Hoon Park, Jeong Ah Shin, Jae-Hyung Han, Yong-Moon Park, Hyeon Woo Yim, Harald Mischak
    PLOS ONE.2015; 10(4): e0125338.     CrossRef
  • Efficacy of a New Medical Information system, Ubiquitous Healthcare Service with Voice Inception Technique in Elderly Diabetic Patients
    Kyoung Min Kim, Kyeong Seon Park, Hyun Ju Lee, Yun Hee Lee, Ji Seon Bae, Young Joon Lee, Sung Hee Choi, Hak Chul Jang, Soo Lim
    Scientific Reports.2015;[Epub]     CrossRef
  • Intensive Individualized Reinforcement Education Is Important for the Prevention of Hypoglycemia in Patients with Type 2 Diabetes
    Yun-Mi Yong, Kyung-Mi Shin, Kang-Min Lee, Jae-Young Cho, Sun-Hye Ko, Min-Hyang Yoon, Tae-Won Kim, Jong-Hyun Jeong, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2015; 39(2): 154.     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
  • Clinical Characteristics of Subjects with Sulfonylurea-Dependent Type 2 Diabetes
    Se Hee Min, Soo Heon Kwak, Young Min Cho, Kyong Soo Park, Hye Seung Jung
    Endocrinology and Metabolism.2015; 30(4): 509.     CrossRef
  • Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes
    Jae-Seung Yun, Seung-Hyun Ko, Sun-Hye Ko, Ki-Ho Song, Ki-Dong Yoo, Kun-Ho Yoon, Yong-Moon Park, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2015; 39(6): 498.     CrossRef
  • Association between flavonoid intake and diabetes risk among the Koreans
    Jee-Young Yeon, Yun Jung Bae, Eun-Young Kim, Eun-Ju Lee
    Clinica Chimica Acta.2015; 439: 225.     CrossRef
  • Association between Self-Reported Smoking and Hemoglobin A1c in a Korean Population without Diabetes: The 2011–2012 Korean National Health and Nutrition Examination Survey
    Jae Won Hong, Cheol Ryong Ku, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim, Barbara Fuhrman
    PLOS ONE.2015; 10(5): e0126746.     CrossRef
  • Relationship between metabolic syndrome and thyroid nodules in healthy Koreans
    Juyoung Shin, Min-Hee Kim, Kun-Ho Yoon, Moo-Il Kang, Bong-Yun Cha, Dong-Jun Lim
    The Korean Journal of Internal Medicine.2015; 31(1): 98.     CrossRef
  • Assessment of Cardiovascular Risk in Adults With Type 2 Diabetes and Metabolic Syndrome
    Chun-Ja Kim, Hee Sun Kang, Elizabeth A. Schlenk, Sun-Mi Chae
    The Diabetes Educator.2015; 41(2): 203.     CrossRef
  • Current Status of Management in Type 2 Diabetes Mellitus at General Hospitals in South Korea
    Jin-Hee Jung, Jung-Hwa Lee, Jin-Won Noh, Jeong-Eun Park, Hee-Sook Kim, Joo-Wha Yoo, Bok-Rye Song, Jeong-rim Lee, Myeong-Hee Hong, Hyang-Mi Jang, Young Na, Hyun-Joo Lee, Jeong-Mi Lee, Yang-Gyo Kang, Sun-Young Kim, Kang-Hee Sim
    Diabetes & Metabolism Journal.2015; 39(4): 307.     CrossRef
  • The number of metabolic syndrome components is a good risk indicator for both early- and late-stage kidney damage
    R. Okada, Y. Yasuda, K. Tsushita, K. Wakai, N. Hamajima, S. Matsuo
    Nutrition, Metabolism and Cardiovascular Diseases.2014; 24(3): 277.     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
  • Association of Vitamin B12Deficiency and Metformin Use in Patients with Type 2 Diabetes
    Sun-Hye Ko, Sun-Hee Ko, Yu-Bae Ahn, Ki-Ho Song, Kyung-Do Han, Yong-Moon Park, Seung-Hyun Ko, Hye-Soo Kim
    Journal of Korean Medical Science.2014; 29(7): 965.     CrossRef
  • Plasma Glucose Regulation and Mortality in Korea: A Pooled Analysis of Three Community-Based Cohort Studies
    Nan Hee Kim, Dong-Jun Kim, Seok Won Park, Jee-Young Oh, Joong-Yeol Park, Chol Shin, Hong Kyu Lee, Yongsoo Park
    Diabetes & Metabolism Journal.2014; 38(1): 44.     CrossRef
  • The glycemic efficacies of insulin analogue regimens according to baseline glycemic status in Korean patients with type 2 diabetes: sub‐analysis from the A 1 chieve ® study
    Y.‐C. Hwang, J. G. Kang, K. J. Ahn, B. S. Cha, S.‐H. Ihm, S. Lee, M. Kim, B.‐W. Lee
    International Journal of Clinical Practice.2014; 68(11): 1338.     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
  • Comparison between the Therapeutic Effect of Metformin, Glimepiride and Their Combination as an Add-On Treatment to Insulin Glargine in Uncontrolled Patients with Type 2 Diabetes
    Cheol-Young Park, Jun Goo Kang, Suk Chon, Junghyun Noh, Seung Joon Oh, Chang Beom Lee, Sung Woo Park, T. Mark Doherty
    PLoS ONE.2014; 9(3): e87799.     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
  • Development of an HbA1c-Based Conversion Equation for Estimating Glycated Albumin in a Korean Population with a Wide Range of Glucose Intolerance
    Chang Hee Jung, You-Cheol Hwang, Kwang Joon Kim, Bong Soo Cha, Cheol-Young Park, Won Seon Jeon, Jae Hyeon Kim, Sang-Man Jin, Sang Youl Rhee, Jeong-taek Woo, Byung-Wan Lee, Sompop Bencharit
    PLoS ONE.2014; 9(4): e95729.     CrossRef
  • Risk of suicidal ideation in diabetes varies by diabetes regimen, diabetes duration, and HbA1c level
    Hoo-Yeon Lee, Myung-Il Hahm, Sang Gyu Lee
    Journal of Psychosomatic Research.2014; 76(4): 275.     CrossRef
  • Non-HDL cholesterol is an independent risk factor for aspirin resistance in obese patients with type 2 diabetes
    Jong Dai Kim, Cheol-Young Park, Kue Jeong Ahn, Jae Hyoung Cho, Kyung Mook Choi, Jun Goo Kang, Jae Hyeon Kim, Ki Young Lee, Byung Wan Lee, Ji Oh Mok, Min Kyong Moon, Joong Yeol Park, Sung Woo Park
    Atherosclerosis.2014; 234(1): 146.     CrossRef
  • Optimal glycated albumin cutoff value to diagnose diabetes in Korean adults: A retrospective study based on the oral glucose tolerance test
    You-Cheol Hwang, Chang Hee Jung, Hong-Yup Ahn, Won Seon Jeon, Sang-Man Jin, Jeong-taek Woo, Bong Soo Cha, Jae Hyeon Kim, Cheol-Young Park, Byung-Wan Lee
    Clinica Chimica Acta.2014; 437: 1.     CrossRef
  • Higher Prevalence of Metformin-Induced Vitamin B12 Deficiency in Sulfonylurea Combination Compared with Insulin Combination in Patients with Type 2 Diabetes: A Cross-Sectional Study
    Donghoon Kang, Jae-Seung Yun, Sun-Hye Ko, Tae-Seok Lim, Yu-Bae Ahn, Yong-Moon Park, Seung-Hyun Ko, Yu Wang
    PLoS ONE.2014; 9(10): e109878.     CrossRef
  • The Relationship between BMI and Glycated Albumin to Glycated Hemoglobin (GA/A1c) Ratio According to Glucose Tolerance Status
    Ji Hye Huh, Kwang Joon Kim, Byung-Wan Lee, Dong Wook Kim, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee, Marta Letizia Hribal
    PLoS ONE.2014; 9(2): e89478.     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 & Metabolism Journal.2013; 37(5): 349.     CrossRef
  • Metformin Based Dual-Combination Therapies in Drug Naïve Type 2 Diabetic Patients
    Dong-Lim Kim
    Diabetes & Metabolism Journal.2013; 37(6): 429.     CrossRef
  • Glycemic Effectiveness of Metformin-Based Dual-Combination Therapies with Sulphonylurea, Pioglitazone, or DPP4-Inhibitor in Drug-Naïve Korean Type 2 Diabetic Patients
    Young Ki Lee, Sun Ok Song, Kwang Joon Kim, Yongin Cho, Younjeong Choi, Yujung Yun, Byung-Wan Lee, Eun-Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes & Metabolism Journal.2013; 37(6): 465.     CrossRef
  • Long-term changes of the prevalence and control rate of hypertension among Korean adults with diagnosed diabetes: 1998–2008 Korean National Health and Nutrition Examination Survey
    Seung-Hyun Ko, Hyuk-Sang Kwon, Ki-Ho Song, Yu-Bae Ahn, Kun-Ho Yoon, Hyeon Woo Yim, Won-Chul Lee, Yong-Moon Park
    Diabetes Research and Clinical Practice.2012; 97(1): 151.     CrossRef
  • Smoking and Type 2 Diabetes Mellitus
    Sang Ah Chang
    Diabetes & Metabolism Journal.2012; 36(6): 399.     CrossRef
  • Body Mass Index and Waist Circumference According to Glucose Tolerance Status in Korea: The 2005 Korean Health and Nutrition Examination Survey
    Hye Mi Kang, Dong-Jun Kim
    Journal of Korean Medical Science.2012; 27(5): 518.     CrossRef
  • Renal Hyperfiltration in Prediabetes Confirmed by Fasting Plasma Glucose and Hemoglobin A1c
    Rieko Okada, Kenji Wakai, Mariko Naito, Emi Morita, Sayo Kawai, Guang Yin, Noriyo Ozawa, Masatoshi Furuta, Erina Koyama, Rumi Tsuchiya, Noriko Kouno, Nobuyuki Hamajima
    Renal Failure.2012; 34(9): 1084.     CrossRef
  • Higher Morning to Evening Ratio in Total Dose of Twice-Daily Biphasic Insulin Analog Might Be Effective in Achieving Glucose Control in Patients with Poorly Controlled Type 2 Diabetes
    Yong-Ho Lee, Byung-Wan Lee, Hea Jin Kwon, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes Technology & Therapeutics.2012; 14(6): 508.     CrossRef
  • The Risk of Bladder Cancer in Korean Diabetic Subjects Treated with Pioglitazone
    Sun Ok Song, Kwang Joon Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes & Metabolism Journal.2012; 36(5): 371.     CrossRef
  • Low Density Lipoprotein Cholesterol Target Goal Attainment Rate and Physician Perceptions about Target Goal Achievement in Korean Patients with Diabetes
    Jenie Yoonoo Hwang, Chang Hee Jung, Woo Je Lee, Cheol Young Park, Sung Rae Kim, Kun-Ho Yoon, Moon Kyu Lee, Sung Woo Park, Joong-Yeol Park
    Diabetes & Metabolism Journal.2011; 35(6): 628.     CrossRef
  • Letter: Diabetic Polyneuropathy and Cardiovascular Complications in Type 2 Diabetic Patients (Diabetes Metab J 2011;35:390-6)
    Sun-Hye Ko, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2011; 35(5): 558.     CrossRef
A Survey of Diabetic Educators and Patients for the Revision of Korean Food Exchange Lists
Jae Won Cho, Mee Ra Kweon, Young Mi Park, Mi Hye Woo, Hye Sook Yoo, Jeong Hyun Lim, Bo Kyung Koo, Chong Hwa Kim, Hae Jin Kim, Tae Sun Park, Choong Ho Shin, Kyu Chang Won, Soo Lim, Hak Chul Jang
Diabetes Metab J. 2011;35(2):173-181.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.173
  • 5,368 View
  • 41 Download
  • 6 Crossref
AbstractAbstract PDFPubReader   
Background

Food exchange lists are one of the main methods of nutritional education. However, Korean food exchange lists have not been revised since 1994. Therefore, we surveyed the opinions of diabetes educators and patients with diabetes regarding the need for revision of the current food exchange lists.

Methods

For two weeks beginning on 10 March 2008, a 12-item questionnaire regarding the opinion and need for revision of the current food exchange lists was e-mailed to diabetes educators nationwide. Another 15-question survey was administered to patients with diabetes in 13 hospitals located in the Seoul and Gyeonggi regions of Korea.

Results

We obtained survey responses from 101 diabetes educators and 209 patients; 65 (64.3%) of the educators answered that the current food exchange lists should be revised. The items that needed revision were the glycemic index, addition of new foods and reaffirmation of exchange standard amounts. The patients demanded specific education about choosing appropriate foods, a balanced meal plan, proper snacks, and dining intake.

Conclusion

Our survey results demonstrate the need to revise the Korean food exchange lists. This process should focus on glycemic index, the addition of new foods and reconfirmation of one exchange reference unit.

Citations

Citations to this article as recorded by  
  • Mediterranean Diet and Naltrexone/Bupropion Treatment for Weight Loss in Overweight and Obese Breast Cancer Survivors and Non-Cancer Participants: A Pilot Randomized Controlled Trial


    A-Ra Cho, Won-Jun Choi, Yu-Jin Kwon, Hye Sun Lee, Sung Gwe Ahn, Ji-Won Lee
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3325.     CrossRef
  • Development of a Spanish Food Exchange List: Application of Statistical Criteria to a Rationale Procedure
    Iva Marques-Lopes, Susana Menal-Puey, J. Alfredo Martínez, Giuseppe Russolillo
    Journal of the Academy of Nutrition and Dietetics.2018; 118(7): 1161.     CrossRef
  • A Practical Approach to the Management of Micronutrients and Other Nutrients of Concern in Food Exchange Lists for Meal Planning
    Giuseppe Russolillo-Femenías, Susana Menal-Puey, J. Alfredo Martínez, Iva Marques-Lopes
    Journal of the Academy of Nutrition and Dietetics.2018; 118(11): 2029.     CrossRef
  • How much fruit should diabetic patients eat?
    Jeong Hyun Lim
    The Journal of Korean Diabetes.2014; 15(4): 185.     CrossRef
  • Korean Food Exchange Lists for Diabetes: Revised 2010
    Dal Lae Ju, Hak Chul Jang, Young Yun Cho, Jae Won Cho, Hye Sook Yoo, Kyung Suk Choi, Mi Hye Woo, Cheong Min Sohn, Yoo Kyoung Park, Ryo Won Choue
    Journal of Korean Diabetes.2011; 12(4): 228.     CrossRef
  • Korean Food Exchange Lists for Diabetes: Revised 2010
    Dal Lae Ju, Hak Chul Jang, Young Yun Cho, Jae Won Cho, Hye Sook Yoo, Kyung Suk Choi, Mi Hye Woo, Cheong Min Sohn, Yoo Kyoung Park, Ryowon Choue
    The Korean Journal of Nutrition.2011; 44(6): 577.     CrossRef
Letter: Basal C-peptide Level as a Surrogate Marker of Subclinical Atherosclerosis in Type 2 Diabetes Patients (Diabetes Metab J 2011;35:41-9)
Min Suk Lee, Hae Jin Kim
Diabetes Metab J. 2011;35(2):188-189.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.188
  • 4,613 View
  • 24 Download
PDFPubReader   

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP