Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
60 "Kyung Mook Choi"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Review
Guideline/Fact Sheet
Article image
Metabolic Dysfunction-Associated Steatotic Liver Disease in Type 2 Diabetes Mellitus: A Review and Position Statement of the Fatty Liver Research Group of the Korean Diabetes Association
Jaehyun Bae, Eugene Han, Hye Won Lee, Cheol-Young Park, Choon Hee Chung, Dae Ho Lee, Eun-Hee Cho, Eun-Jung Rhee, Ji Hee Yu, Ji Hyun Park, Ji-Cheol Bae, Jung Hwan Park, Kyung Mook Choi, Kyung-Soo Kim, Mi Hae Seo, Minyoung Lee, Nan-Hee Kim, So Hun Kim, Won-Young Lee, Woo Je Lee, Yeon-Kyung Choi, Yong-ho Lee, You-Cheol Hwang, Young Sang Lyu, Byung-Wan Lee, Bong-Soo Cha, on Behalf of the Fatty Liver Research Group of the Korean Diabetes Association
Diabetes Metab J. 2024;48(6):1015-1028.   Published online November 21, 2024
DOI: https://doi.org/10.4093/dmj.2024.0541
  • 585 View
  • 113 Download
AbstractAbstract PDFPubReader   ePub   
Since the role of the liver in metabolic dysfunction, including type 2 diabetes mellitus, was demonstrated, studies on non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) have shown associations between fatty liver disease and other metabolic diseases. Unlike the exclusionary diagnostic criteria of NAFLD, MAFLD diagnosis is based on the presence of metabolic dysregulation in fatty liver disease. Renaming NAFLD as MAFLD also introduced simpler diagnostic criteria. In 2023, a new nomenclature, steatotic liver disease (SLD), was proposed. Similar to MAFLD, SLD diagnosis is based on the presence of hepatic steatosis with at least one cardiometabolic dysfunction. SLD is categorized into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related/-associated liver disease, alcoholrelated liver disease, specific etiology SLD, and cryptogenic SLD. The term MASLD has been adopted by a number of leading national and international societies due to its concise diagnostic criteria, exclusion of other concomitant liver diseases, and lack of stigmatizing terms. This article reviews the diagnostic criteria, clinical relevance, and differences among NAFLD, MAFLD, and MASLD from a diabetologist’s perspective and provides a rationale for adopting SLD/MASLD in the Fatty Liver Research Group of the Korean Diabetes Association.
Original Article
Drug/Regimen
Article image
Efficacy and Safety of Alogliptin-Pioglitazone Combination for Type 2 Diabetes Mellitus Poorly Controlled with Metformin: A Multicenter, Double-Blind Randomized Trial
Ji-Yeon Park, Joonyub Lee, Yoon-Hee Choi, Kyung Wan Min, Kyung Ah Han, Kyu Jeung Ahn, Soo Lim, Young-Hyun Kim, Chul Woo Ahn, Kyung Mook Choi, Kun-Ho Yoon, the Practical Evidence of Antidiabetic Combination Therapy in Korea (PEAK) study investigators
Diabetes Metab J. 2024;48(5):915-928.   Published online April 23, 2024
DOI: https://doi.org/10.4093/dmj.2023.0259
  • 2,872 View
  • 271 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Guidelines for switching to triple combination therapy directly after monotherapy failure are limited. This study investigated the efficacy, long-term sustainability, and safety of either mono or dual add-on therapy using alogliptin and pioglitazone for patients with type 2 diabetes mellitus (T2DM) who did not achieve their target glycemic range with metformin monotherapy.
Methods
The Practical Evidence of Antidiabetic Combination Therapy in Korea (PEAK) was a multicenter, placebo-controlled, double-blind, randomized trial. A total of 214 participants were randomized to receive alogliptin+pioglitazone (Alo+Pio group, n=70), alogliptin (Alo group, n=75), or pioglitazone (Pio group, n=69). The primary outcome was the difference in glycosylated hemoglobin (HbA1c) levels between the three groups at baseline to 24 weeks. For durability, the achievement of HbA1c levels <7% and <6.5% was compared in each group. The number of adverse events was investigated for safety.
Results
After 24 weeks of treatment, the change of HbA1c in the Alo+Pio, Alo, and Pio groups were –1.38%±0.08%, –1.03%±0.08%, and –0.84%±0.08%, respectively. The Alo+Pio group had significantly lower HbA1c levels than the other groups (P=0.0063, P<0.0001) and had a higher proportion of patients with target HbA1c achievement. In addition, insulin sensitivity and β-cell function, lipid profiles, and other metabolic indicators were also improved. There were no significant safety issues in patients treated with triple combination therapy.
Conclusion
Early combination triple therapy showed better efficacy and durability than the single add-on (dual) therapy. Therefore, combination therapy with metformin, alogliptin, and pioglitazone is a valuable early treatment option for T2DM poorly controlled with metformin monotherapy.
Review
Pathophysiology
Article image
Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Nan Hee Kim
Diabetes Metab J. 2024;48(1):37-52.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2023.0193
  • 5,691 View
  • 354 Download
  • 1 Web of Science
AbstractAbstract PDFPubReader   ePub   
Novel strategies are required to reduce the risk of developing diabetes and/or clinical outcomes and complications of diabetes. In this regard, the role of the circadian system may be a potential candidate for the prevention of diabetes. We reviewed evidence from animal, clinical, and epidemiological studies linking the circadian system to various aspects of the pathophysiology and clinical outcomes of diabetes. The circadian clock governs genetic, metabolic, hormonal, and behavioral signals in anticipation of cyclic 24-hour events through interactions between a “central clock” in the suprachiasmatic nucleus and “peripheral clocks” in the whole body. Currently, circadian rhythmicity in humans can be subjectively or objectively assessed by measuring melatonin and glucocorticoid levels, core body temperature, peripheral blood, oral mucosa, hair follicles, rest-activity cycles, sleep diaries, and circadian chronotypes. In this review, we summarized various circadian misalignments, such as altered light-dark, sleep-wake, rest-activity, fasting-feeding, shift work, evening chronotype, and social jetlag, as well as mutations in clock genes that could contribute to the development of diabetes and poor glycemic status in patients with diabetes. Targeting critical components of the circadian system could deliver potential candidates for the treatment and prevention of type 2 diabetes mellitus in the future.
Original Article
Technology/Device
Article image
Clinical and Lifestyle Determinants of Continuous Glucose Monitoring Metrics in Insulin-Treated Patients with Type 2 Diabetes Mellitus
Da Young Lee, Namho Kim, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Jihee Kim, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Sung-Min Park, Nan Hee Kim
Diabetes Metab J. 2023;47(6):826-836.   Published online August 24, 2023
DOI: https://doi.org/10.4093/dmj.2022.0273
  • 3,695 View
  • 241 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There was limited evidence to evaluate the association between lifestyle habits and continuous glucose monitoring (CGM) metrics. Thus, we aimed to depict the behavioral and metabolic determinants of CGM metrics in insulin-treated patients with type 2 diabetes mellitus (T2DM).
Methods
This is a prospective observational study. We analyzed data from 122 insulin-treated patients with T2DM. Participants wore Dexcom G6 and Fitbit, and diet information was identified for 10 days. Multivariate-adjusted logistic regression analysis was performed for the simultaneous achievement of CGM-based targets, defined by the percentage of time in terms of hyper, hypoglycemia and glycemic variability (GV). Intake of macronutrients and fiber, step counts, sleep, postprandial C-peptide-to-glucose ratio (PCGR), information about glucose lowering medications and metabolic factors were added to the analyses. Additionally, we evaluated the impact of the distribution of energy and macronutrient during a day, and snack consumption on CGM metrics.
Results
Logistic regression analysis revealed that female, participants with high PCGR, low glycosylated hemoglobin (HbA1c) and daytime step count had a higher probability of achieving all targets based on CGM (odds ratios [95% confidence intervals] which were 0.24 [0.09 to 0.65], 1.34 [1.03 to 1.25], 0.95 [0.9 to 0.99], and 1.15 [1.03 to 1.29], respectively). And participants who ate snacks showed a shorter period of hyperglycemia and less GV compared to those without.
Conclusion
We confirmed that residual insulin secretion, daytime step count, HbA1c, and women were the most relevant determinants of adequate glycemic control in insulin-treated patients with T2DM. In addition, individuals with snack consumption were exposed to lower times of hyperglycemia and GV.

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
Review
Guideline/Fact Sheet
Article image
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, The Committee of Clinical Practice Guidelines, Korean Diabetes Association and Committee of Clinical Practice Guidelines, Korean Society of Heart Failure
Diabetes Metab J. 2023;47(1):10-26.   Published online January 26, 2023
DOI: https://doi.org/10.4093/dmj.2022.0420
  • 6,030 View
  • 467 Download
  • 9 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Diabetes mellitus is a major risk factor for the development of heart failure. Furthermore, the prognosis of heart failure is worse in patients with diabetes mellitus than in those without it. Therefore, early diagnosis and proper management of heart failure in patients with diabetes mellitus are important. This review discusses the current criteria for diagnosis and screening tools for heart failure and the currently recommended pharmacological therapies for heart failure. We also highlight the effects of anti-diabetic medications on heart failure.

Citations

Citations to this article as recorded by  
  • 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
  • Epicardial Adipose Tissue and Heart Failure, Friend or Foe?
    Dong-Hyuk Cho, Seong-Mi Park
    Diabetes & Metabolism Journal.2024; 48(3): 373.     CrossRef
  • Adiposity modifies the association between heart failure risk and glucose metabolic disorder in older individuals: a community-based prospective cohort study
    Liming Hou, Xin Wang, Peilin Li, Hua Zhang, Yanli Yao, Zhendong Liu, Juan Wang, Weike Liu
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Paper-based colorimetric microfluidic device for visual detection of glucose coupling different-shaped gold nanostructures with cerium oxide nanozyme
    Fareeha Arshad, Koo Pey Ting, Siti Nurul Azian Zakaria, Noor Faizah Mohd-Naim, Ying Woan Soon, Minhaz Uddin Ahmed
    Applied Materials Today.2024; 41: 102451.     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
  • Optimization of guideline-directed medical treatment for heart failure patients with reduced ejection fraction
    Minjung Bak, Jin-Oh Choi
    The Korean Journal of Internal Medicine.2023; 38(5): 595.     CrossRef
Original Articles
Guideline/Fact Sheet
Article image
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, on Behalf of the Committee of Media-Public Relation of the Korean Diabetes Association
Diabetes Metab J. 2022;46(3):417-426.   Published online May 25, 2022
DOI: https://doi.org/10.4093/dmj.2022.0106
  • 20,410 View
  • 1,947 Download
  • 125 Web of Science
  • 146 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to investigate the prevalence and management of diabetes mellitus, risk-factor control, and comorbidities among Korean adults.
Methods
We conducted a cross-sectional analysis of data from the Korea National Health and Nutrition Examination Survey to assess the prevalence, treatment, risk factors, comorbidities, and self-management behaviors of diabetes mellitus from 2019 to 2020. We also analyzed data from the Korean National Health Insurance Service to evaluate the use of antidiabetic medications in people with diabetes mellitus from 2002 through 2018.
Results
Among Korean adults aged 30 years or older, the estimated prevalence of diabetes mellitus was 16.7% in 2020. From 2019 through 2020, 65.8% of adults with diabetes mellitus were aware of the disease and treated with antidiabetic medications. The percentage of adults with diabetes mellitus who achieved glycosylated hemoglobin (HbA1c) <6.5% was 24.5% despite the increased use of new antidiabetic medications. We found that adults with diabetes mellitus who achieved all three goals of HbA1c <6.5%, blood pressure (BP) <140/85 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL were 9.7%. The percentage of self-management behaviors was lower in men than women. Excess energy intake was observed in 16.7% of adults with diabetes mellitus.
Conclusion
The prevalence of diabetes mellitus among Korean adults remained high. Only 9.7% of adults with diabetes mellitus achieved all glycemic, BP, and lipid controls from 2019 to 2020. Continuous evaluation of national diabetes statistics and a national effort to increase awareness of diabetes mellitus and improve comprehensive diabetes care are needed.

Citations

Citations to this article as recorded by  
  • Weight change in patients with new‐onset type 2 diabetes mellitus and its association with remission: Comprehensive real‐world data
    Jinyoung Kim, Bongseong Kim, Mee Kyoung Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
    Diabetes, Obesity and Metabolism.2024; 26(2): 567.     CrossRef
  • Changes in Fatty Liver Disease and Incident Diabetes Mellitus in Young Korean Adults
    Kye-Yeung Park, Hwan-Sik Hwang, Kyungdo Han, Hoon-Ki Park
    American Journal of Preventive Medicine.2024; 66(4): 717.     CrossRef
  • Widening disparities in the national prevalence of diabetes mellitus for people with disabilities in South Korea
    I. Hwang, S.Y. Kim, Y.Y. Kim, J.H. Park
    Public Health.2024; 226: 173.     CrossRef
  • Questionnaire-Based Survey of Diabetes Self-Care Activities and Barriers among Young Korean Adults with Early-Onset Diabetes
    Ji In Park, Sang-Wook Kim, Il Sung Nam-Goong, Kee-Ho Song, Ji Hee Yu, Ji Yun Jeong, Eun-Hee Cho
    Yonsei Medical Journal.2024; 65(1): 42.     CrossRef
  • Patients with diabetes in regions with population decline and likelihood of receiving diabetes management education and screenings for related complications in Korea
    Yeong Jun Ju, Woorim Kim, Kyujin Chang, Tae Hoon Lee, Soon Young Lee
    Preventive Medicine.2024; 178: 107793.     CrossRef
  • Association between underweight and risk of heart failure in diabetes patients
    Tae Kyung Yoo, Kyung‐Do Han, Eun‐Jung Rhee, Won‐Young Lee
    Journal of Cachexia, Sarcopenia and Muscle.2024; 15(2): 671.     CrossRef
  • Gastroparesis might not be uncommon in patients with diabetes mellitus in a real-world clinical setting: a cohort study
    Jeongmin Lee, Hye Lim Park, Su Young Park, Chul-Hyun Lim, Min-Hee Kim, Jung Min Lee, Sang-Ah Chang, Jung-Hwan Oh
    BMC Gastroenterology.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
  • Multidimensional behavioral factors for diabetes management among middle-aged adults: a population-based study
    Hyerang Kim, Heesook Son
    Journal of Public Health.2024;[Epub]     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
  • Association between dietary selenium intake and severe abdominal aortic calcification in the United States: a cross-sectional study
    Weiwei Dong, Xiaobai Liu, Lu Ma, Zhiyong Yang, Chunyan Ma
    Food & Function.2024; 15(3): 1575.     CrossRef
  • Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults
    Min-Kyung Lee, Kyungdo Han, Bongsung Kim, Jong-Dai Kim, Moon Jung Kim, Byungpyo Kim, Jung Heo, Jiyeon Ahn, Seo-Young Sohn, Jae-Hyuk Lee
    Diabetes Research and Clinical Practice.2024; 208: 111109.     CrossRef
  • Recent evidence on target blood pressure in patients with hypertension
    Hack-Lyoung Kim
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 17.     CrossRef
  • Status and trends in epidemiologic characteristics of diabetic end-stage renal disease: an analysis of the 2021 Korean Renal Data System
    Kyeong Min Kim, Seon A Jeong, Tae Hyun Ban, Yu Ah Hong, Seun Deuk Hwang, Sun Ryoung Choi, Hajeong Lee, Ji Hyun Kim, Su Hyun Kim, Tae Hee Kim, Ho-Seok Koo, Chang-Yun Yoon, Kiwon Kim, Seon Ho Ahn, Yong Kyun Kim, Hye Eun Yoon
    Kidney Research and Clinical Practice.2024; 43(1): 20.     CrossRef
  • In silico exploration of the potential inhibitory activities of in-house and ZINC database lead compounds against alpha-glucosidase using structure-based virtual screening and molecular dynamics simulation approach
    Zuhier A. Awan, Haider Ali Khan, Alam Jamal, Sulaiman Shams, Guojun Zheng, Abdul Wadood, Muhammad Shahab, Mohammad Imran Khan, Abdulaziz A. Kalantan
    Journal of Biomolecular Structure and Dynamics.2024; : 1.     CrossRef
  • Evaluation of Mobile Applications for Patients with Diabetes Mellitus: A Scoping Review
    Jung Lim Lee, Youngji Kim
    Healthcare.2024; 12(3): 368.     CrossRef
  • Current status of remote collaborative care for hypertension in medically underserved areas
    Seo Yeon Baik, Kyoung Min Kim, Hakyoung Park, Jiwon Shinn, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 33.     CrossRef
  • Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    BMJ.2024; : e076388.     CrossRef
  • Comparison of metabolic and neurological comorbidities in Asian patients with psoriasis and atopic dermatitis
    Hee Joo Yang, Mi Young Lee, Jeong Hyeon Lee, Chang Jin Jung, Woo Jin Lee, Chong Hyun Won, Mi Woo Lee, Joon Min Jung, Sung Eun Chang
    Scientific Reports.2024;[Epub]     CrossRef
  • Cancer risk according to fasting blood glucose trajectories: a population-based cohort study
    Thi Minh Thu Khong, Thi Tra Bui, Hee-Yeon Kang, Jinhee Lee, Eunjung Park, Jin-Kyoung Oh
    BMJ Open Diabetes Research & Care.2024; 12(1): e003696.     CrossRef
  • Participation experience in self-care program for type 2 diabetes: A mixed-methods study
    Mihwan Kim, Haejung Lee, Gaeun Park, Ah Reum Khang
    Journal of Korean Gerontological Nursing.2024; 26(1): 31.     CrossRef
  • Fasting GLP-1 Levels and Albuminuria Are Negatively Associated in Patients with Type 2 Diabetes Mellitus
    Cheol-Won Jang, Tae Yang Yu, Jin Woo Jeong, Se Eun Ha, Rajan Singh, Moon Young Lee, Seungil Ro
    Journal of Personalized Medicine.2024; 14(3): 280.     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
  • Glycemic traits and colorectal cancer survival in a cohort of South Korean patients: A Mendelian randomization analysis
    So Yon Jun, Sooyoung Cho, Min Jung Kim, Ji Won Park, Seung‐Bum Ryoo, Seung Yong Jeong, Kyu Joo Park, Aesun Shin
    Cancer Medicine.2024;[Epub]     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
  • Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
    Diabetes Research and Clinical Practice.2024; 210: 111640.     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
  • Effect of complicated, untreated and uncontrolled diabetes and pre‐diabetes on treatment outcome among patients with pulmonary tuberculosis
    Kyung Hoon Kim, Hyung Woo Kim, Yong Hyun Kim, Yeonhee Park, Sung Soo Jung, Jin Woo Kim, Jee Youn Oh, Heayon Lee, Sung Kyoung Kim, Sun‐Hyung Kim, Jiwon Lyu, Yousang Ko, Sun Jung Kwon, Yun‐Jeong Jeong, Do Jin Kim, Hyeon‐Kyoung Koo, Yangjin Jegal, Sun Young
    Respirology.2024; 29(7): 624.     CrossRef
  • Analysis of dietary behavior and intake related to glycemic control in patients with type 2 diabetes aged 30 years or older in Korea: Utilizing the 8th Korea National Health and Nutrition Examination Survey (2019–2021)
    Jin-Ah Seok, Yeon-Kyung Lee
    Nutrition Research and Practice.2024; 18(2): 239.     CrossRef
  • Management of Early-Onset Type 2 Diabetes
    Jin Hwa Kim
    The Journal of Korean Diabetes.2024; 25(1): 4.     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
  • Baseline glycated albumin level and risk of type 2 diabetes mellitus in Healthy individuals: a retrospective longitudinal observation in Korea
    Kang-Su Shin, Min-Seung Park, Mi Yeon Lee, Eun Hye Cho, Hee-Yeon Woo, Hyosoon Park, Min-Jung Kwon
    Scandinavian Journal of Clinical and Laboratory Investigation.2024; 84(3): 168.     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
  • Myotonic dystrophy type 1 in South Korea: a comprehensive analysis of cancer and comorbidity risks
    Incheol Seo, Jin-Mo Park
    Neurological Sciences.2024; 45(9): 4573.     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
  • Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus
    Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko
    Endocrinology and Metabolism.2024; 39(2): 344.     CrossRef
  • Impact of electronic cigarette use on the increased risk of diabetes: the Korean Community Health Survey
    Wonseok Jeong, Seungju Kim
    Epidemiology and Health.2024; : e2024029.     CrossRef
  • Evolution and global research trends of immunity in diabetic nephropathy: a bibliometric and visual analysis from 2004 to 2023
    Jianlong Zhou, Lv Zhu, Rensong Yue
    International Urology and Nephrology.2024; 56(10): 3307.     CrossRef
  • Assessing blood sugar measures for predicting new-onset diabetes and cardiovascular disease in community-dwelling adults
    Jung-Hwan Kim, Yaeji Lee, Chung-Mo Nam, Yu-Jin Kwon, Ji-Won Lee
    Endocrine.2024; 86(2): 528.     CrossRef
  • Association between Body Weight Variability and Mortality in Young Adults: A Nationwide Cohort Study
    Yebin Park, Kyungdo Han
    Korean Journal of Family Practice.2024; 14(2): 105.     CrossRef
  • Impact of Antidiabetic Drugs on Clinical Outcomes of COVID-19: A Nationwide Population-Based Study
    Han Na Jang, Sun Joon Moon, Jin Hyung Jung, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2024; 39(3): 479.     CrossRef
  • Association Between Benzene and Other Volatile Organic Compounds Exposure and Diabetes Mellitus Among Korean Adults: Findings from the Nationwide Biomonitoring Data
    Seong-Uk Baek, Minseo Choi, Yu-Min Lee, Jin-Ha Yoon
    Exposure and Health.2024;[Epub]     CrossRef
  • Trends and Barriers in Diabetic Retinopathy Screening: Korea National Health and Nutritional Examination Survey 2016–2021
    Min Seok Kim, Sang Jun Park, Kwangsic Joo, Se Joon Woo
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Single-cell analysis of human PBMCs in healthy and type 2 diabetes populations: dysregulated immune networks in type 2 diabetes unveiled through single-cell profiling
    Doeon Gu, Jinyeong Lim, Kyung Yeon Han, In-Ho Seo, Jae Hwan Jee, Soo Jin Cho, Yoon Ho Choi, Sung Chul Choi, Jang Hyun Koh, Jin-Young Lee, Mira Kang, Dong-Hyuk Jung, Woong-Yang Park
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Diabetes and Heart Failure: A Literature Review, Reflection and Outlook
    Xiya Li, Xiaoyang Zhou, Ling Gao
    Biomedicines.2024; 12(7): 1572.     CrossRef
  • Korean National Burden of Disease: The Importance of Diabetes Management
    Chung-Nyun Kim, Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
    Diabetes & Metabolism Journal.2024; 48(4): 518.     CrossRef
  • Association of ABO genetic Polymorphisms and Type 2 Diabetes Mellitus Susceptibility in the Korean Population
    Yu-Na Kim, Sung Won Lee, Sangwook Park
    Biomedical Science Letters.2024; 30(2): 65.     CrossRef
  • Impact of Education as a Social Determinant on the Risk of Type 2 Diabetes Mellitus in Korean Adults
    Mi-Joon Lee, Bum-Jeun Seo, Yeon-Sook Kim
    Healthcare.2024; 12(14): 1446.     CrossRef
  • Trajectories of depressive symptoms in Korean adults with diabetes: Individual differences and associations with life satisfaction and mortality
    Eun‐Jung Shim, Sang Jin Park, Gyu Hyeong Im, Ruth A. Hackett, Paola Zaninotto, Andrew Steptoe
    British Journal of Health Psychology.2024;[Epub]     CrossRef
  • Enhancing Diabetes Care through a Mobile Application: A Randomized Clinical Trial on Integrating Physical and Mental Health among Disadvantaged Individuals
    Jae Hyun Bae, Eun Hee Park, Hae Kyung Lee, Kun Ho Yoon, Kyu Chang Won, Hyun Mi Kim, Sin Gon Kim
    Diabetes & Metabolism Journal.2024; 48(4): 790.     CrossRef
  • Transcriptional regulation of multi-tissue mRNA expression by L-arabinose mitigates metabolic disorders in leptin receptor-deficient mice
    Youngji Han, Yuri Jeong, Jin Hyup Lee, Seung Pil Pack
    Food Bioscience.2024; 61: 104881.     CrossRef
  • 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
  • Why Are Doctors Not Interested in Type 2 Diabetes Mellitus Remission?
    Heung Yong Jin, Tae Sun Park
    Diabetes & Metabolism Journal.2024; 48(4): 709.     CrossRef
  • Holistic and Personalized Strategies for Managing in Elderly Type 2 Diabetes Patients
    Jae-Seung Yun, Kyuho Kim, Yu-Bae Ahn, Kyungdo Han, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2024; 48(4): 531.     CrossRef
  • Efficacy of Daily Walking as a Potential Predictor of Improved Health-Related Quality of Life in Patients with Type 2 Diabetes in Korea
    Wonil Park, Dongjun Lee
    Healthcare.2024; 12(16): 1644.     CrossRef
  • Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study
    Wonwoo Jang, Seokjun Kim, Yejun Son, Soeun Kim, Hyeon Jin Kim, Hyesu Jo, Jaeyu Park, Kyeongmin Lee, Hayeon Lee, Mark A Tully, Masoud Rahmati, Lee Smith, Jiseung Kang, Selin Woo, Sunyoung Kim, Jiyoung Hwang, Sang Youl Rhee, Dong Keon Yon
    JMIR Public Health and Surveillance.2024; 10: e59571.     CrossRef
  • Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus
    Shinae Kang, Yu-Bae Ahn, Tae Keun Oh, Won-Young Lee, Sung Wan Chun, Boram Bae, Amine Dahaoui, Jin Sook Jeong, Sungeun Jung, Hak Chul Jang
    Diabetes & Metabolism Journal.2024; 48(5): 929.     CrossRef
  • Association of pre-diabetes with increased obesity and depression in older male and female: A secondary analysis of the Korea National Health and Nutrition Examination Survey 2020
    Heashoon Lee
    Journal of Korean Gerontological Nursing.2024; 26(3): 257.     CrossRef
  • Financial Benefits of Renal Dose-Adjusted Dipeptidyl Peptidase-4 Inhibitors for Patients with Type 2 Diabetes and Chronic Kidney Disease
    Hun Jee Choe, Yeh-Hee Ko, Sun Joon Moon, Chang Ho Ahn, Kyoung Hwa Ha, Hyeongsuk Lee, Jae Hyun Bae, Hyung Joon Joo, Hyejin Lee, Jang Wook Son, Dae Jung Kim, Sin Gon Kim, Kwangsoo Kim, Young Min Cho
    Endocrinology and Metabolism.2024; 39(4): 622.     CrossRef
  • Enhancing Diabetes Prediction and Prevention through Mahalanobis Distance and Machine Learning Integration
    Khongorzul Dashdondov, Suehyun Lee, Munkh-Uchral Erdenebat
    Applied Sciences.2024; 14(17): 7480.     CrossRef
  • The role of glucagon-like peptide-1 receptor agonists (GLP1-RAs) in the management of the hypertensive patient with metabolic syndrome: a position paper from the Korean society of hypertension
    Hae Young Lee, Seung-Hyun Ko, Sungjoon Park, Kyuho Kim, Song-Yi Kim, In-Jeong Cho, Eun Joo Cho, Hyeon Chang Kim, Jae-Hyeong Park, Sung Kee Ryu, Min Kyong Moon, Sang-Hyun Ihm
    Clinical Hypertension.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
  • The association between health literacy and screening for disease-specific complications among community-dwelling adults with diabetes
    Fatima Nari, Jae Kwan Jun, Kyoung Hee Oh, Wonjeong Jeong
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Pioglitazone as Add-on Therapy in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Dapagliflozin and Metformin: Double-Blind, Randomized, Placebo-Controlled Trial
    Ji Hye Heo, Kyung Ah Han, Jun Hwa Hong, Hyun-Ae Seo, Eun-Gyoung Hong, Jae Myung Yu, Hye Seung Jung, Bong-Soo Cha
    Diabetes & Metabolism Journal.2024; 48(5): 937.     CrossRef
  • Efficacy and Safety of Alogliptin-Pioglitazone Combination for Type 2 Diabetes Mellitus Poorly Controlled with Metformin: A Multicenter, Double-Blind Randomized Trial
    Ji-Yeon Park, Joonyub Lee, Yoon-Hee Choi, Kyung Wan Min, Kyung Ah Han, Kyu Jeung Ahn, Soo Lim, Young-Hyun Kim, Chul Woo Ahn, Kyung Mook Choi, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2024; 48(5): 915.     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
  • Association between nut consumption and mortality risk: a 20-year cohort study in Korea with a stratified analysis by health-related variables
    Hye Ran Shin, Jihye Kim, SuJin Song
    Nutrition Journal.2024;[Epub]     CrossRef
  • Prediabetes persistence or remission and subsequent risk of gallbladder cancer: A nationwide cohort study
    Joo-Hyun Park, Jung Yong Hong, Kyungdo Han, Young Suk Park, Joon Oh Park, Ho Yeong Lim, Jay J. Shen
    European Journal of Cancer.2024; 213: 114312.     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
  • National trends in type 2 diabetes mellitus stratified by central adiposity using waist-to-height ratio in South Korea, 2005–2022
    Hyunjee Kim, Seoyoung Park, Jaeyu Park, Yejun Son, Soeun Kim, Yesol Yim, Hyesu Jo, Kyeongmin Lee, Yi Deun Jeong, Jiyeon Oh, Hanseul Cho, Damiano Pizzol, Jiyoung Hwang, Lee Smith, Dong Keon Yon
    Scientific Reports.2024;[Epub]     CrossRef
  • 1-Hour Postload Glucose: Early Screening for High Risk of Type 2 Diabetes in Koreans With Normal Fasting Glucose
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Joo Yeon Kim, Su Hyun Kim, Dong Hee Kim, Dasol Kang, Sujin Park, Yun Kyung Jeon, Sang Soo Kim, Bo Hyun Kim, Mi Sook Yun, Yang Ho Kang
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Association of Monocyte Chemoattractant Protein-1 (MCP-1) 2518 A/G Polymorphism with Obesity in Korean Type 2 Diabetes Mellitus
    Sangshin Park, Dong-Hwa Lee, Shinyoung Lee, Hyun Jeong Jeon
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3917.     CrossRef
  • Association between the duration of oral contraceptive use and the prevalence of type 2 diabetes mellitus: Korea National Health and Nutrition Examination Survey (KNHANES) 2007–2021
    Mikyung Ryu
    Korean Journal of Health Education and Promotion.2024; 41(3): 73.     CrossRef
  • Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts
    Hyemin Jo, Soyeon Ahn, Jung Hun Ohn, Cheol Min Shin, Eunjeong Ji, Donggil Kim, Sung Jae Jung, Joongyub Lee
    Endocrinology and Metabolism.2024; 39(5): 711.     CrossRef
  • Association of aerobic and muscle-strengthening physical activity with chronic kidney disease in participants with hypertension
    Yunmin Han, Younghwan Choi, Yeon Soo Kim
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Association of relative handgrip strength on the development of diabetes mellitus in elderly Koreans
    Yeo Ju Sohn, Hong Soo Lee, Hasuk Bae, Hee Cheol Kang, Hyejin Chun, Insun Ryou, Eun Jee Chang, Sungchan Kang, Sang Wha Lee, Kyung Won Shim, Mario Ulises Pérez-Zepeda
    PLOS ONE.2024; 19(10): e0309558.     CrossRef
  • Paradigm shift from glucocentric to organ protection for the management of hyperglycemia in patients with type 2 diabetes
    Jie-Eun Lee, Jong Chul Won
    Cardiovascular Prevention and Pharmacotherapy.2024; 6(4): 116.     CrossRef
  • 당뇨병 치료의 진화: 관해를 향해가는 혁신적 약물치료와 첨단 관리기기의 결합
    종한 최, 민경 문
    Public Health Weekly Report.2024; 17(44): 1905.     CrossRef
  • Socioeconomic inequalities in the prevalence, non-awareness, non-treatment, and non-control of diabetes among South Korean adults in 2021
    Seongju Kim, Dong Jun Kim, Hooyeon Lee, Dong Keon Yon
    PLOS ONE.2024; 19(11): e0313988.     CrossRef
  • Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021
    Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
    Journal of Diabetes Investigation.2024;[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
  • 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
  • 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
  • Response to Letter to the Editor From Han and Xu: “Association Between DPP4 Inhibitor Use and the Incidence of Cirrhosis, ESRD, and Some Cancers in Patients With Diabetes”
    Dae Ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(4): e58.     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
  • 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
  • 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
  • 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
  • Risk of type 2 diabetes mellitus in catholic priests compared with general public
    Youngmi Eun, Sun Myeong Ock, Se-Hong Kim, Ju Hye Chung, Se Jin Park, Churlmin Kim, Min-Kyun Im, Kyung-do Han
    Acta Diabetologica.2023; 60(5): 655.     CrossRef
  • Blood pressure control and its associated factors in patients with hypertension and type 2 diabetes
    Anan S Jarab, Walid Al-Qerem, Salam Alqudah, Shrouq R Abu Heshmeh, Tareq L Mukattash, Karem H Alzoubi
    Electronic Journal of General Medicine.2023; 20(3): em477.     CrossRef
  • Prevalence and associated factors of diabetes mellitus among patients with tuberculosis in South Korea from 2011 to 2018: a nationwide cohort study
    Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Jeong Mi Seo, Hongjo Choi, Young Ae Kang
    BMJ Open.2023; 13(3): e069642.     CrossRef
  • The association between nutrition label utilization and disease management education among hypertension or diabetes diagnosed in Korea using 2018 Community Health Survey: a cross-sectional study
    Miran Jin, Jayeun Kim, Kyuhyun Yoon
    Korean Journal of Community Nutrition.2023; 28(1): 38.     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
  • Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey
    Jong Ha Baek, Yong-Moon Park, Kyung Do Han, Min Kyong Moon, Jong Han Choi, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2023; 47(2): 201.     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
  • Vascular and metabolic effects of ipragliflozin versus sitagliptin (IVS) in type 2 diabetes treated with sulphonylurea and metformin: IVS study
    Seon Mee Kang, Han Mi Yun, Minji Sohn, Soo Lim
    Diabetes, Obesity and Metabolism.2023; 25(7): 1922.     CrossRef
  • Diabetes and Skin Disease
    Jungah Lim
    The Journal of Korean Diabetes.2023; 24(1): 29.     CrossRef
  • Revisiting the Diabetes Crisis in Korea: Call for Urgent Action
    Jun Sung Moon
    The Journal of Korean Diabetes.2023; 24(1): 1.     CrossRef
  • Association between Sleep Duration and Incident Diabetes Mellitus in Healthy Subjects: A 14-Year Longitudinal Cohort Study
    Jin ha Jang, Wonjin Kim, Jin Sil Moon, Eun Roh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm, Ji Hye Huh
    Journal of Clinical Medicine.2023; 12(8): 2899.     CrossRef
  • Exercise Frequency Reduction Is Associated With Higher Risk of Infection in Newly Diagnosed Diabetes: A Nationally Representative Cohort Study
    Yohwan Lim, Hye Jun Kim, Sung Soo Yoon, Sang Jun Lee, Myeong Hoon Lee, Hyewon Park, Sun Jae Park, Seogsong Jeong, Hyun Wook Han
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Effects of Consuming Heat-Treated Dodamssal Brown Rice Containing Resistant Starch on Glucose Metabolism in Humans
    Jiyoung Park, Sea-Kwan Oh, Miae Doo, Hyun-Jung Chung, Hyun-Jin Park, Hyejin Chun
    Nutrients.2023; 15(10): 2248.     CrossRef
  • Opening the Precision Diabetes Care through Digital Healthcare
    Joonyub Lee, Jin Yu, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2023; 47(3): 307.     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
  • Trends in the Quality of Primary Care and Acute Care in Korea From 2008 to 2020: A Cross-sectional Study
    Yeong Geun Gwon, Seung Jin Han, Kyoung Hoon Kim
    Journal of Preventive Medicine and Public Health.2023; 56(3): 248.     CrossRef
  • Development and Validation of Multiple Equations for Low-Density Lipoprotein and Apolipoprotein B in Korean Patients Visiting Local Clinics and Hospitals
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Nutrients.2023; 15(12): 2786.     CrossRef
  • The role of retinal vessel geometry as an indicator of systemic arterial stiffness assessed by cardio-ankle vascular index
    Dae Joong Ma, Heesun Lee, Ji Min Choi, Hyo Eun Park, Su-Yeon Choi, Hyuk Jin Choi
    Frontiers in Cardiovascular Medicine.2023;[Epub]     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
  • Associations of updated cardiovascular health metrics, including sleep health, with incident diabetes and cardiovascular events in older adults with prediabetes: A nationwide population-based cohort study
    Kyoung Hwa Ha, Dae Jung Kim, Seung Jin Han
    Diabetes Research and Clinical Practice.2023; 203: 110820.     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
  • Medical nutrition therapy for diabetes mellitus
    Suk Chon
    Journal of the Korean Medical Association.2023; 66(7): 421.     CrossRef
  • Prevalence and treatment status of diabetes mellitus in Korea
    Hyuk-Sang Kwon
    Journal of the Korean Medical Association.2023; 66(7): 404.     CrossRef
  • The impact of diabetes status on total and site-specific cancer risk in the elderly population: A nationwide cohort study
    Kyuho Kim, Bongseong Kim, Hyunho Kim, Hyung Soon Park, Yu-Bae Ahn, Seung-Hyun Ko, Kyungdo Han, Jae-Seung Yun
    Diabetes Research and Clinical Practice.2023; 203: 110866.     CrossRef
  • Response to comments of Lai et al. “Proposal of one option for patient-centered, heterogeneous selection of antidiabetic drug”
    Sunyoung Kim, Sang Youl Rhee
    Diabetes Research and Clinical Practice.2023; 203: 110864.     CrossRef
  • Association of Dental Diseases and Oral Hygiene Care With the Risk of Heart Failure in Patients With Type 2 Diabetes: A Nationwide Cohort Study
    Youn Huh, Jung Eun Yoo, Sang‐Hyun Park, Kyungdo Han, Seon Mee Kim, Hye Soon Park, Kyung Hwan Cho, Jin‐Soo Ahn, Sang Ho Jun, Ga Eun Nam
    Journal of the American Heart Association.2023;[Epub]     CrossRef
  • Bidirectional associations between periodontal disease and systemic diseases: a nationwide population-based study in Korea
    Salma Nabila, Jaesung Choi, Ji-Eun Kim, Seokyung Hahn, In-Kyung Hwang, Tae-Il Kim, Hee-Kyung Park, Ji-Yeob Choi
    Scientific Reports.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
  • Refined Diagnostic Protocol for Diabetic Polyneuropathy: Paving the Way for Timely Detection
    Byung-Mo Oh
    Annals of Rehabilitation Medicine.2023; 47(4): 234.     CrossRef
  • Analysis of difference in body fluid composition and dietary intake between Korean adults with and without type 2 diabetes mellitus
    Yu-Gyeong Kim, Ha-Neul Choi, Jung-Eun Yim
    Journal of Nutrition and Health.2023; 56(4): 377.     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
  • 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
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • Association between initial continuity of care status and diabetes-related health outcomes in older patients with type 2 diabetes mellitus: A nationwide retrospective cohort study in South Korea
    Hyun Woo Jung, Woo-Ri Lee
    Primary Care Diabetes.2023; 17(6): 600.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • Diagnostic performance of the fibrosis-4 index and the NAFLD fibrosis score for screening at-risk individuals in a health check-up setting
    Huiyul Park, Eileen L. Yoon, Mimi Kim, Jonghyun Lee, Hye-Lin Kim, Seon Cho, Eun-Hee Nah, Dae Won Jun
    Hepatology Communications.2023;[Epub]     CrossRef
  • Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
    Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee
    Endocrinology and Metabolism.2023; 38(5): 525.     CrossRef
  • The Characteristics and Risk of Mortality in the Elderly Korean Population
    Sunghwan Suh
    Endocrinology and Metabolism.2023; 38(5): 522.     CrossRef
  • Comparative Risk of Type 2 Diabetes after Gastrectomy and Endoscopic Resection for Gastric Cancer: A Nationwide Cohort Study
    Yeongkeun Kwon, Jin-Won Kwon, Jiyun Kim, Dohyang Kim, Jinseub Hwang, Jane Ha, Shin-Hoo Park, Sungsoo Park
    Journal of the American College of Surgeons.2023; 237(6): 902.     CrossRef
  • 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 Extensio
    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 & Metabolism Journal.2023; 47(6): 808.     CrossRef
  • Association between diabetes mellitus and cause of death in patients with tuberculosis: A Korean nationwide cohort study
    Se Hyun Kwak, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang, Frederick Quinn
    PLOS ONE.2023; 18(12): e0295556.     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
  • Anti-Diabetic Medications and Osteoporosis
    Kyongyoung Kim
    The Journal of Korean Diabetes.2023; 24(4): 173.     CrossRef
  • The associations between changes in hepatic steatosis and heart failure and mortality: a nationwide cohort study
    Jiyun Park, Gyuri Kim, Hasung Kim, Jungkuk Lee, Sang-Man Jin, Jae Hyeon Kim
    Cardiovascular Diabetology.2022;[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
  • Current Trends of Big Data Research Using the Korean National Health Information Database
    Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2022; 46(4): 552.     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
  • 젊은 2형 당뇨병 환자의 관리
    재현 배
    Public Health Weekly Report.2022; 15(35): 2474.     CrossRef
  • Analysis of the Association between Metabolic Syndrome and Renal Function in Middle-Aged Patients with Diabetes
    Yoonjin Park, Su Jung Lee
    International Journal of Environmental Research and Public Health.2022; 19(18): 11832.     CrossRef
  • The Degree of Glycemic Control for the First Three Months Determines the Next Seven Years
    Nami Lee, Dae Jung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Blood Pressure Target in Type 2 Diabetes Mellitus
    Hyun-Jin Kim, Kwang-il Kim
    Diabetes & Metabolism Journal.2022; 46(5): 667.     CrossRef
  • Association Between DPP4 Inhibitor Use and the Incidence of Cirrhosis, ESRD, and Some Cancers in Patients With Diabetes
    Yewon Na, Soo Wan Kim, Ie Byung Park, Soo Jung Choi, Seungyoon Nam, Jaehun Jung, Dae Ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(11): 3022.     CrossRef
  • Education for Insulin Injection in Elderly Diabetic Patients
    Gi Yeon Lee
    The Journal of Korean Diabetes.2022; 23(3): 201.     CrossRef
  • Recent Updates on Phytoconstituent Alpha-Glucosidase Inhibitors: An Approach towards the Treatment of Type Two Diabetes
    Hamdy Kashtoh, Kwang-Hyun Baek
    Plants.2022; 11(20): 2722.     CrossRef
  • Epidemiological characteristics of diabetes mellitus in Korea
    Soon Young Lee
    Journal of the Korean Medical Association.2022; 65(10): 640.     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
  • Oldies but Goodies: Thiazolidinedione as an Insulin Sensitizer with Cardioprotection
    Eun-Hee Cho
    Diabetes & Metabolism Journal.2022; 46(6): 827.     CrossRef
  • The Mediating Effect of Acceptance Action in the Relationship between Diabetes Distress and Self-stigma among Old Adults with Diabetes in South Korea
    Hyesun Kim, Kawoun Seo
    Journal of Korean Academy of Community Health Nursing.2022; 33(4): 446.     CrossRef
Others
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 Metab J. 2022;46(6):923-935.   Published online May 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0346
  • 7,223 View
  • 280 Download
  • 11 Web of Science
  • 12 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated whether fasting glucose (FG) variability could predict the risk of dementia.
Methods
This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. FG variability was measured using the variability independent of the mean (FG-VIM). The incidence of dementia was defined by the International Classification of Diseases 10th Revision codes and prescription of anti-dementia medication and was subdivided into Alzheimer’s disease (AD) and vascular dementia (VD).
Results
During the 6.9-year follow-up, 54,837, 41,032, and 6,892 cases of all-cause dementia, AD, and VD, respectively, were identified. Cox proportional regression analyses showed that as the FG-VIM quartile increased, the risk of dementia serially increased after adjustment for metabolic factors, income status, and diabetes-related characteristics, including the mean FG. Participants in FG-VIM quartile 4 showed a 18%, 19%, and 17% higher risk for all-cause dementia, AD, and VD, respectively, than those in quartile 1; this particularly included non-obese patients with a longer duration of diabetes, high FG levels, dyslipidemia, and those taking glucose-lowering medications. Conversely, the baseline FG status and dementia showed a U-shaped association.
Conclusion
Increased FG variability over 5 years can predict the risk of dementia in individuals with diabetes in Korea. This finding was more pronounced in patients with less favorable metabolic profiles.

Citations

Citations to this article as recorded by  
  • Fasting glucose variability and risk of dementia in Parkinson’s disease: a 9-year longitudinal follow-up study of a nationwide cohort
    Sung Hoon Kang, Yunjin Choi, Su Jin Chung, Seok-Joo Moon, Chi Kyung Kim, Ji Hyun Kim, Kyungmi Oh, Joon Shik Yoon, Sang Won Seo, Geum Joon Cho, Seong-Beom Koh
    Frontiers in Aging Neuroscience.2024;[Epub]     CrossRef
  • Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
    Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
    Brain Sciences.2024; 14(3): 284.     CrossRef
  • The relationship between diabetes and the dementia risk: a meta-analysis
    Fang Cao, Fushuang Yang, Jian Li, Wei Guo, Chongheng Zhang, Fa Gao, Xinxin Sun, Yi Zhou, Wenfeng Zhang
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Effect of glucose variability on the mortality of adults aged 75 years and over during the first year of the COVID-19 pandemic
    Miguel A. Salinero-Fort, F. Javier San Andrés-Rebollo, Juan Cárdenas-Valladolid, José Mostaza, Carlos Lahoz, Fernando Rodriguez-Artalejo, Paloma Gómez-Campelo, Pilar Vich-Pérez, Rodrigo Jiménez-García, José M. de-Miguel-Yanes, Javier Maroto-Rodriguez, Bel
    BMC Geriatrics.2024;[Epub]     CrossRef
  • Association of remnant cholesterol with risk of dementia: a nationwide population-based cohort study in South Korea
    Ji Hye Heo, Han Na Jung, Eun Roh, Kyung-do Han, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
    The Lancet Healthy Longevity.2024; 5(8): e524.     CrossRef
  • Glycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes
    Patricia C. Underwood, Libin Zhang, David C. Mohr, Julia C. Prentice, Richard E. Nelson, Andrew E. Budson, Paul R. Conlin
    JAMA Network Open.2024; 7(8): e2425354.     CrossRef
  • Increased Risk of Alzheimer's Disease With Glycemic Variability: A Systematic Review and Meta-Analysis
    Paul Nichol G Gonzales, Encarnita R Ampil, Joseree-Ann S Catindig-Dela Rosa, Steven G Villaraza, Ma. Lourdes C Joson
    Cureus.2024;[Epub]     CrossRef
  • The Association of Glucose Variability and Dementia Incidence in Latinx Adults with Type 2 Diabetes: A Retrospective Study
    Heather Cuevas, Elizabeth Muñoz, Divya Nagireddy, Jeeyeon Kim, Grace Ganucheau, Fathia Alomoush
    Clinical Nursing Research.2023; 32(2): 249.     CrossRef
  • The effects of long-term cumulative HbA1c exposure on the development and onset time of dementia in the patients with type 2 diabetes mellitus: Hospital based retrospective study (2005–2021)
    Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park
    Diabetes Research and Clinical Practice.2023; 201: 110721.     CrossRef
  • Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
    Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez
    Neurology International.2023; 15(4): 1253.     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
  • Early detection of Dementia in Type 2 Diabetes population: Predictive analytics using Machine learning approach (Preprint)
    Phan Thanh Phuc, Phung-Anh Nguyen, Nam N. Nguyen, Min-Huei Hsu, Khanh NQ. Le, Quoc-Viet Tran, Chih-Wei Huang, Hsuan-Chia Yang, Cheng-Yu Chen, Thi Anh Hoa Le, Minh Khoi Le, Hoang Bac Nguyen, Christine Y. Lu, Jason C. Hsu
    Journal of Medical Internet Research.2023;[Epub]     CrossRef
Short Communication
Technology/Device
Comparison of Laser and Conventional Lancing Devices for Blood Glucose Measurement Conformance and Patient Satisfaction in Diabetes Mellitus
Jung A Kim, Min Jeong Park, Eyun Song, Eun Roh, So Young Park, Da Young Lee, Jaeyoung Kim, Ji Hee Yu, Ji A Seo, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo, Nan Hee Kim
Diabetes Metab J. 2022;46(6):936-940.   Published online March 30, 2022
DOI: https://doi.org/10.4093/dmj.2021.0293
  • 6,474 View
  • 276 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDFPubReader   ePub   
Self-monitoring of capillary blood glucose is important for controlling diabetes. Recently, a laser lancing device (LMT-1000) that can collect capillary blood without skin puncture was developed. We enrolled 150 patients with type 1 or 2 diabetes mellitus. Blood sampling was performed on the same finger on each hand using the LMT-1000 or a conventional lancet. The primary outcome was correlation between glucose values using the LMT-1000 and that using a lancet. And we compared the pain and satisfaction of the procedures. The capillary blood sampling success rates with the LMT-1000 and lancet were 99.3% and 100%, respectively. There was a positive correlation (r=0.974, P<0.001) between mean blood glucose levels in the LMT-1000 (175.8±63.0 mg/dL) and conventional lancet samples (172.5±63.6 mg/dL). LMT-1000 reduced puncture pain by 75.0% and increased satisfaction by 80.0% compared to a lancet. We demonstrated considerable consistency in blood glucose measurements between samples from the LMT-1000 and a lancet, but improved satisfaction and clinically significant pain reduction were observed with the LMT-1000 compared to those with a lancet.

Citations

Citations to this article as recorded by  
  • Comparison between a laser-lancing device and automatic incision lancet for capillary blood sampling from the heel of newborn infants: a randomized feasibility trial
    Chul Kyu Yun, Eui Kyung Choi, Hyung Jin Kim, Jaeyoung Kim, Byung Cheol Park, Kyuhee Park, Byung Min Choi
    Journal of Perinatology.2024; 44(8): 1193.     CrossRef
  • Comparison of laser and traditional lancing devices for capillary blood sampling in patients with diabetes mellitus and high bleeding risk
    Min Jeong Park, Soon Young Hwang, Ahreum Jang, Soo Yeon Jang, Eyun Song, So Young Park, Da Young Lee, Jaeyoung Kim, Byung Cheol Park, Ji Hee Yu, Ji A Seo, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo, Nan Hee Kim
    Lasers in Medical Science.2024;[Epub]     CrossRef
Original Article
Cardiovascular Risk/Epidemiology
Myocardial Infarction, Stroke, and All-Cause Mortality according to Low-Density Lipoprotein Cholesterol Level in the Elderly, a Nationwide Study
You-Bin Lee, Minji Koo, Eunjin Noh, Soon Young Hwang, Jung A Kim, Eun Roh, So-hyeon Hong, Kyung Mook Choi, Sei Hyun Baik, Geum Joon Cho, Hye Jin Yoo
Diabetes Metab J. 2022;46(5):722-732.   Published online March 8, 2022
DOI: https://doi.org/10.4093/dmj.2021.0225
  • 8,364 View
  • 357 Download
  • 8 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We assessed the myocardial infarction (MI), stroke, and all-cause death risks during follow-up according to the low-density lipoprotein cholesterol (LDL-C) levels among older adults.
Methods
The Korean National Health Insurance Service datasets (2002 to 2020) were used for this population-based cohort study. The hazards of MI, stroke, and all-cause mortality during follow-up were analyzed according to LDL-C level in individuals aged ≥65 years without baseline cardiovascular diseases (n=1,391,616).
Results
During a mean 7.55 years, 52,753 MIs developed; 84,224 strokes occurred over a mean 7.47 years. After a mean 8.50 years, 233,963 died. A decrease in LDL-C was associated with lower hazards of MI and stroke. The decreased hazard of stroke in lower LDL-C was more pronounced in statin users, and individuals with diabetes or obesity. The hazard of all-cause death during follow-up showed an inverted J-shaped pattern according to the LDL-C levels. However, the paradoxically increased hazard of mortality during follow-up in lower LDL-C was attenuated in statin users and individuals with diabetes, hypertension, or obesity. In statin users, lower LDL-C was associated with a decreased hazard of mortality during follow-up.
Conclusion
Among the elderly, lower LDL-C was associated with decreased risks of MI and stroke. Lower LDL-C achieved by statins in the elderly was associated with a decreased risk of all-cause death during follow-up, suggesting that LDL-C paradox for the premature death risk in the elderly should not be applied to statin users. Intensive statin therapy should not be hesitated for older adults with cardiovascular risk factors including diabetes.

Citations

Citations to this article as recorded by  
  • Combination of low- or moderate-intensity statin and ezetimibe vs. high-intensity statin monotherapy on primary prevention of cardiovascular disease and all-cause death: a propensity-matched nationwide cohort study
    Ji Eun Jun, In-Kyung Jeong, Kyu Jeong Ahn, Ho Yeon Chung, You-Cheol Hwang
    European Journal of Preventive Cardiology.2024; 31(10): 1205.     CrossRef
  • Associations of Low-density Lipoprotein Cholesterol With All-cause and Cause-specific Mortality in Older Adults in China
    Wenqing Ni, Yuebin Lv, Xueli Yuan, Yan Zhang, Hongmin Zhang, Yijing Zheng, Xiaoming Shi, Jian Xu
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Risk Factors of Acute Ischemic Stroke and Mortality Among Adults With Endocardial Fibroelastosis
    Talal Warsi, Kamleshun Ramphul, Mansimran Singh Dulay, Saddam Jeelani, Renuka Verma, Nomesh Kumar, Jasninder Singh Dhaliwal, Caleb Carver, Hemamalini Sakthivel, Syed Khurram Mushtaq Gardezi, Saurabh Deshpande, Akil A. Sherif, Alexander Liu, Raheel Ahmed
    The Neurologist.2024; 29(6): 317.     CrossRef
  • A Look at Primary and Secondary Prevention in the Elderly: The Two Sides of the Same Coin
    Maurizio Giuseppe Abrignani, Fabiana Lucà, Vincenzo Abrignani, Giuseppe Pelaggi, Alessandro Aiello, Furio Colivicchi, Francesco Fattirolli, Michele Massimo Gulizia, Federico Nardi, Paolo Giuseppe Pino, Iris Parrini, Carmelo Massimiliano Rao
    Journal of Clinical Medicine.2024; 13(15): 4350.     CrossRef
  • Contradictions in traditional ideas about atherosclerosis and the efficacy of lipid-lowering therapy. Promising directions
    A. P. Vasiliev, N. N. Streltsova
    Сибирский научный медицинский журнал.2024; 44(4): 38.     CrossRef
  • The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study
    Chin-Huan Chang, Shu-Tin Yeh, Seng-Wei Ooi, Chung-Yi Li, Hua-Fen Chen
    PeerJ.2023; 11: e14609.     CrossRef
  • ERCC1 polymorphism and its expression associated with ischemic stroke in Chinese population
    Xiao-Dong Deng, Jian-Lin Ke, Tai-Yu Chen, Qin Gao, Zhuo-Lin Zhao, Wei Zhang, Huan Liu, Ming-Liang Xiang, Li-Zhen Wang, Ying Ma, Yun Liu
    Frontiers in Neurology.2023;[Epub]     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
  • 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
Special Editorial
Diabetes and Metabolism Journal in 2022: The Flywheel Effect for DMJ
Kyung Mook Choi
Diabetes Metab J. 2022;46(1):1-2.   Published online January 27, 2022
DOI: https://doi.org/10.4093/dmj.2021.0348
  • 7,737 View
  • 195 Download
PDFPubReader   ePub   
Review
Cardiovascular Risk/Epidemiology
Article image
Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
Min Jeong Park, Kyung Mook Choi
Diabetes Metab J. 2022;46(1):49-62.   Published online January 27, 2022
DOI: https://doi.org/10.4093/dmj.2021.0316
  • 6,876 View
  • 248 Download
  • 6 Web of Science
  • 11 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Despite strenuous efforts to reduce cardiovascular disease (CVD) risk by improving cardiometabolic risk factors, such as glucose and cholesterol levels, and blood pressure, there is still residual risk even in patients reaching treatment targets. Recently, researchers have begun to focus on the variability of metabolic variables to remove residual risks. Several clinical trials and cohort studies have reported a relationship between the variability of metabolic parameters and CVDs. Herein, we review the literature regarding the effect of metabolic factor variability and CVD risk, and describe possible mechanisms and potential treatment perspectives for reducing cardiometabolic risk factor variability.

Citations

Citations to this article as recorded by  
  • 4-week results of “Linni Slim” synbiotic in patients with metabolic syndrome
    A. S. Rudoy, N. N. Silivinchik
    Experimental and Clinical Gastroenterology.2024; (3): 87.     CrossRef
  • Association between weight loss and cardiovascular outcomes and mortality in Korea: A nationwide cohort study
    So Yoon Kwon, Gyuri Kim, Seohyun Kim, Jae Hyeon Kim
    Diabetes Research and Clinical Practice.2024; 214: 111767.     CrossRef
  • Identifying Personal and Lifestyle Determinants Associated With Glycemic Variability Among Healthy Non-Diabetes Adults
    SuJin Song
    CardioMetabolic Syndrome Journal.2024; 4(2): 93.     CrossRef
  • Новий сучасний скринінговий комплекс профілактичної медицини
    M.S. Cherska, S.V. Kutsevlyak
    Endokrynologia.2024; 29(3): 207.     CrossRef
  • Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
    BMC Medicine.2023;[Epub]     CrossRef
  • Dose–response relationship between physical activity and cardiometabolic risk in obese children and adolescents: A pre-post quasi-experimental study
    Zekai Chen, Lin Zhu
    Frontiers in Physiology.2023;[Epub]     CrossRef
  • Association of body weight change with all-cause and cause-specific mortality: A nationwide population-based study
    So Yoon Kwon, Gyuri Kim, Jungkuk Lee, Jiyun Park, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Diabetes Research and Clinical Practice.2023; 199: 110666.     CrossRef
  • Association between lipid variability and the risk of mortality in cancer patients not receiving lipid-lowering agents
    Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Association between visit-to-visit lipid variability and risk of ischemic heart disease: a cohort study in China
    Yonghao Wu, Peng Shen, Lisha Xu, Zongming Yang, Yexiang Sun, Luhua Yu, Zhanghang Zhu, Tiezheng Li, Dan Luo, Hongbo Lin, Liming Shui, Mengling Tang, Mingjuan Jin, Kun Chen, Jianbing Wang
    Endocrine.2023; 84(3): 914.     CrossRef
  • Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
    Hye Jin Yoo
    Diabetes & Metabolism Journal.2022; 46(2): 257.     CrossRef
  • Long-Term Variability in Physiological Measures in Relation to Mortality and Epigenetic Aging: Prospective Studies in the US and China
    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
    SSRN Electronic Journal .2022;[Epub]     CrossRef
Short Communication
Basic Research
Article image
GPR40 Agonism Modulates Inflammatory Reactions in Vascular Endothelial Cells
Joo Won Kim, Eun Roh, Kyung Mook Choi, Hye Jin Yoo, Hwan-Jin Hwang, Sei Hyun Baik
Diabetes Metab J. 2022;46(3):506-511.   Published online January 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0092
  • 6,065 View
  • 249 Download
  • 12 Web of Science
  • 11 Crossref
AbstractAbstract PDFPubReader   ePub   
Endothelial dysfunction is strongly linked with inflammatory responses, which can impact cardiovascular disease. Recently, G protein-coupled receptor 40 (GPR40) has been investigated as a modulator of metabolic stress; however, the function of GPR40 in vascular endothelial cells has not been reported. We analyzed whether treatment of GPR40-specific agonists modulated the inflammatory responses in human umbilical vein endothelial cells (HUVECs). Treatment with LY2922470, a GPR40 agonist, significantly reduced lipopolysaccharide (LPS)-mediated nuclear factor-kappa B (NF-κB) phosphorylation and movement into the nucleus from the cytosol. However, treatment with another GPR40 agonist, TAK875, did not inhibit LPS-induced NF-κB activation. LPS treatment induced expression of adhesion molecules vascular cell adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1) and attachment of THP-1 cells to HUVECs, which were all decreased by LY2922470 but not TAK875. Our results showed that ligand-dependent agonism of GPR40 is a promising therapeutic target for overcoming inflammatory reactions in the endothelium.

Citations

Citations to this article as recorded by  
  • Synthetic GPR40/FFAR1 agonists: An exhaustive survey on the most recent chemical classes and their structure-activity relationships
    Abhik Paul, Sourin Nahar, Pankaj Nahata, Arnab Sarkar, Avik Maji, Ajeya Samanta, Sanmoy Karmakar, Tapan Kumar Maity
    European Journal of Medicinal Chemistry.2024; 264: 115990.     CrossRef
  • Metabolite-sensing GPCRs in rheumatoid arthritis
    Xuezhi Yang, Wankang Zhang, Luping Wang, Yingjie Zhao, Wei Wei
    Trends in Pharmacological Sciences.2024; 45(2): 118.     CrossRef
  • Aloe emodin promotes mucosal healing by modifying the differentiation fate of enteroendocrine cells via regulating cellular free fatty acid sensitivity
    Weilian Bao, Jiaren Lyu, Guize Feng, Linfeng Guo, Dian Zhao, Keyuan You, Yang Liu, Haidong Li, Peng Du, Daofeng Chen, Xiaoyan Shen
    Acta Pharmaceutica Sinica B.2024; 14(9): 3964.     CrossRef
  • IGF-1 inhibits inflammation and accelerates angiogenesis via Ras/PI3K/IKK/NF-κB signaling pathways to promote wound healing
    Xin Zhang, Fei Hu, Jie Li, Lin Chen, Yu-fei Mao, Qiu-bo Li, Chen-yao Nie, Cai Lin, Jian Xiao
    European Journal of Pharmaceutical Sciences.2024; 200: 106847.     CrossRef
  • Free Fatty Acids and Free Fatty Acid Receptors: Role in Regulating Arterial Function
    Fengzhi Yu, Boyi Zong, Lili Ji, Peng Sun, Dandan Jia, Ru Wang
    International Journal of Molecular Sciences.2024; 25(14): 7853.     CrossRef
  • Critical role of G protein-coupled receptor 40 in B cell response and the pathogenesis of rheumatoid arthritis in mice and patients
    Anqi Li, Xiaoyi Wang, Jingwen Li, Xiaoyu Li, Jue Wang, Yang Liu, Zhihong Wang, Xiaobing Yang, Jiapeng Gao, Juanjie Wu, Tao Sun, Lixia Huo, Yanfeng Yi, Jiantong Shen, Jiexun Cai, Yunliang Yao
    Cell Reports.2024; 43(10): 114858.     CrossRef
  • GPR40 deficiency worsens metabolic syndrome‐associated periodontitis in mice
    Yanchun Li, Zhongyang Lu, Cameron L. Kirkwood, Keith L. Kirkwood, Stephen A. Wank, Ai‐Jun Li, Maria F. Lopes‐Virella, Yan Huang
    Journal of Periodontal Research.2023; 58(3): 575.     CrossRef
  • Signaling pathways and intervention for therapy of type 2 diabetes mellitus
    Rong Cao, Huimin Tian, Yu Zhang, Geng Liu, Haixia Xu, Guocheng Rao, Yan Tian, Xianghui Fu
    MedComm.2023;[Epub]     CrossRef
  • G Protein-Coupled Receptor 40 Agonist LY2922470 Alleviates Ischemic-Stroke-Induced Acute Brain Injury and Functional Alterations in Mice
    Yingyu Lu, Wanlu Zhou, Qinghua Cui, Chunmei Cui
    International Journal of Molecular Sciences.2023; 24(15): 12244.     CrossRef
  • AM1638, a GPR40-Full Agonist, Inhibited Palmitate- Induced ROS Production and Endoplasmic Reticulum Stress, Enhancing HUVEC Viability in an NRF2-Dependent Manner
    Hwan-Jin Hwang, Joo Won Kim, SukHwan Yun, Min Jeong Park, Eyun Song, Sooyeon Jang, Ahreum Jang, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
    Endocrinology and Metabolism.2023; 38(6): 760.     CrossRef
  • Learn from failures and stay hopeful to GPR40, a GPCR target with robust efficacy, for therapy of metabolic disorders
    Hong-Ping Guan, Yusheng Xiong
    Frontiers in Pharmacology.2022;[Epub]     CrossRef
Response
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 Metab J. 2021;45(4):617-618.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0152
  • 4,470 View
  • 117 Download
  • 3 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Construction of an Early Risk Prediction Model for Type 2 Diabetic Peripheral Neuropathy Based on Random Forest
    Zhengang Wei, Xiaohua Wang, Liqin Lu, Su Li, Wenyan Long, Lin Zhang, Shaolin Shen
    CIN: Computers, Informatics, Nursing.2024; 42(9): 665.     CrossRef
  • The effect of close and intensive therapeutic monitoring of patients with poorly controlled type 2 diabetes with different glycemic background
    Ayşe Naciye Erbakan, Müzeyyen Arslan Bahadir, Fatoş Nimet Kaya, Büşra Güleç, Miraç Vural Keskinler, Özge Faydaliel, Banu Mesçi, Aytekin Oğuz
    Medicine.2023; 102(50): e36680.     CrossRef
  • Reduced macula microvascular densities may be an early indicator for diabetic peripheral neuropathy
    Xiaoyu Deng, Shiqi Wang, Yan Yang, Aizhen Chen, Jinger Lu, Jinkui Hao, Yufei Wu, Qinkang Lu
    Frontiers in Cell and Developmental Biology.2022;[Epub]     CrossRef
Original Articles
Complications
Article image
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
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 Metab J. 2021;45(3):368-378.   Published online October 20, 2020
DOI: https://doi.org/10.4093/dmj.2020.0046
  • 10,935 View
  • 386 Download
  • 28 Web of Science
  • 25 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate the association of time to reach the target glycosylated hemoglobin (HbA1c) level with long-term durable glycemic control and risk of diabetic complications in patients with newly diagnosed type 2 diabetes mellitus (T2DM).
Methods
In a longitudinal observational cohort, 194 patients with T2DM newly diagnosed between January 2011 and March 2013 were followed up over 6 years. Patients were classified according to the time needed to reach the target HbA1c (<7.0%): <3, 3 to 6 (early achievement group), and ≥6 months (late achievement group). Risks of microvascular complications including diabetic retinopathy, nephropathy, and neuropathy as well as macrovascular events including ischemic heart disease, ischemic stroke, and peripheral arterial disease were assessed by multivariable Cox proportional hazards analysis.
Results
During a median follow-up of 6.53 years, 66 microvascular and 14 macrovascular events occurred. Maintenance of durable glycemic control over 6 years was more likely in the early achievement groups than in the late achievement group (34.5%, 30.0%, and 16.1% in <3, 3 to 6, and ≥6 months, respectively, P=0.039). Early target HbA1c achievement was associated with lower risk of composite diabetic complications (adjusted hazard ratio [HR, 0.47; 95% confidence interval [CI], 0.26 to 0.86 in <3 months group) (adjusted HR, 0.50; 95% CI, 0.23 to 1.10 in 3 to 6 months group, in reference to ≥6 months group). Similar trends were maintained for risks of microvascular and macrovascular complications, although statistical significance was not reached for macrovascular complications.
Conclusion
Early target HbA1c achievement was associated with long-term durable glycemic control and reduced risk of diabetic complications in newly diagnosed T2DM.

Citations

Citations to this article as recorded by  
  • Association of Helicobacter pylori infection with complications of diabetes: a single-center retrospective study
    Zhuoya Li, Jie Zhang, Yizhou Jiang, Kai Ma, Cheng Cui, Xiaoyong Wang
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
  • HbA1c As Diabetes Mellitus Biomarker and Its Methods Evolution
    Liong Boy Kurniawan
    INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY.2024; 30(2): 191.     CrossRef
  • Efficacy and safety of enavogliflozin vs. dapagliflozin as add-on therapy in patients with type 2 diabetes mellitus based on renal function: a pooled analysis of two randomized controlled trials
    Young Sang Lyu, Sangmo Hong, Si Eun Lee, Bo Young Cho, Cheol-Young Park
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • The effect of health quotient and time management skills on self-management behavior and glycemic control among individuals with type 2 diabetes mellitus
    Mengjie Chen, Man Liu, Ying Pu, Juan Wu, Mingjiao Zhang, Hongxia Tang, Laixi Kong, Maoting Guo, Kexue Zhu, Yuxiu Xie, Zhe Li, Bei Deng, Zhenzhen Xiong
    Frontiers in Public Health.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
  • A study of the relationship between social support, depression, alexithymia and glycemic control in patients with type 2 diabetes mellitus: a structural equation modeling approach
    Yuqin Gan, Fengxiang Tian, Xinxin Fan, Hui Wang, Jian Zhou, Naihui Yang, Hong Qi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Prediction factors and models for chronic kidney disease in type 2 diabetes mellitus: A review of the literature
    Yan Yang, Bixia Yang, Bin Wang, Hua Zhou, Min Yang, Bicheng Liu
    Clinical and Translational Discovery.2024;[Epub]     CrossRef
  • Cost‐effectiveness of the tandem t: Slim X2 with control‐IQ technology automated insulin delivery system in children and adolescents with type 1 diabetes in Sweden
    Peter Adolfsson, Alina Heringhaus, Karin Sjunnesson, Laila Mehkri, Kristian Bolin
    Diabetic Medicine.2024;[Epub]     CrossRef
  • The Association Between Triglyceride Glucose-Body Mass Index and Kidney Impairment in Patients with Type 2 Diabetes Mellitus
    Nan Huang, Bing Lu, Zhuan-Zhuan Zhu, Xiang-Yun Zhu, Sheng Chen, Zhi-Yi Shu, Gai-Fang Liu, You-Fan Peng, Ling Li
    Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3447.     CrossRef
  • Glycemic control and cardiovascular complications of type 2 diabetes mellitus
    I. V. Druk, S. S. Safronova
    Meditsinskiy sovet = Medical Council.2023; (13): 130.     CrossRef
  • Effect of viscous soluble dietary fiber on glucose and lipid metabolism in patients with type 2 diabetes mellitus: a systematic review and meta-analysis on randomized clinical trials
    Kun Lu, Tingqing Yu, Xinyi Cao, Hui Xia, Shaokang Wang, Guiju Sun, Liang Chen, Wang Liao
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Construction and validation of a clinical prediction model for asymptomatic obstructive coronary stenosis in patients with carotid stenosis
    Cuijie Qin, Chuang Li, Yunpeng Luo, Zhen Li, Hui Cao
    Frontiers in Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Risk assessment of rectal anastomotic leakage (RAREAL) after DIXON in non-emergency patients with rectal cancer
    Xue-Cong Zheng, Jin-Bo Su, Jin-Jie Zheng
    BMC Gastroenterology.2023;[Epub]     CrossRef
  • Evaluation of Left Ventricular Function in Diabetes Patients with Microvascular Disease by Three-Dimensional Speckle Tracking Imaging
    青 周
    Advances in Clinical Medicine.2023; 13(12): 18908.     CrossRef
  • Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data
    Hyung Jun Kim, Moo-Seok Park, Jee-Eun Kim, Tae-Jin Song
    Annals of Clinical Neurophysiology.2022; 24(1): 7.     CrossRef
  • Metformin plus a low hypoglycemic risk antidiabetic drug vs. metformin monotherapy for untreated type 2 diabetes mellitus: A meta-analysis of randomized controlled trials
    Wei-Tse Hung, Yuan-Jung Chen, Chun-Yu Cheng, Bruce Ovbiagele, Meng Lee, Chia-Yu Hsu
    Diabetes Research and Clinical Practice.2022; 189: 109937.     CrossRef
  • Peripheral arterial disease progression and ankle brachial index: a cohort study with newly diagnosed patients with type 2 diabetes
    João Soares Felício, Franciane Trindade Cunha de Melo, Giovana Miranda Vieira, Vitória Teixeira de Aquino, Fernanda de Souza Parente, Wanderson Maia da Silva, Nivin Mazen Said, Emanuele Rocha da Silva, Ana Carolina Contente Braga de Souza, Maria Clara Ner
    BMC Cardiovascular Disorders.2022;[Epub]     CrossRef
  • Association of long-term visit-to-visit variability of HbA1c and fasting glycemia with hypoglycemia in type 2 diabetes mellitus
    Chen Long, Yaling Tang, Jiangsheng Huang, Suo Liu, Zhenhua Xing
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • The Degree of Glycemic Control for the First Three Months Determines the Next Seven Years
    Nami Lee, Dae Jung Kim
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Inhibition of advanced glycation end products and protein oxidation by leaf extracts and phenolics from Chilean bean landraces
    Felipe Ávila, Nadia Cruz, Jazmin Alarcon-Espósito, Nélida Nina, Hernán Paillan, Katherine Márquez, Denis Fuentealba, Alberto Burgos-Edwards, Cristina Theoduloz, Carmina Vejar-Vivar, Guillermo Schmeda-Hirschmann
    Journal of Functional Foods.2022; 98: 105270.     CrossRef
  • Mediation Effect of Self-Efficacy Between Health Beliefs and Glycated Haemoglobin Levels in Elderly Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study
    Anqi Zhang, Jinsong Wang, Xiaojuan Wan, Jing Zhang, Zihe Guo, Yamin Miao, Shuhan Zhao, Shuo Bai, Ziyi Zhang, Weiwei Yang
    Patient Preference and Adherence.2022; Volume 16: 3015.     CrossRef
  • Early Glycosylated Hemoglobin Target Achievement Predicts Clinical Outcomes in Patients with Newly Diagnosed Type 2 Diabetes Mellitus
    Joonyub Lee, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2021; 45(3): 337.     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
  • 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
  • Plasma Nesfatin-1: Potential Predictor and Diagnostic Biomarker for Cognitive Dysfunction in T2DM Patient
    Dandan Xu, Yue Yu, Yayun Xu, Jinfang Ge
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 3555.     CrossRef
Metabolic Risk/Epidemiology
Article image
Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus
Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes Metab J. 2021;45(2):183-194.   Published online June 16, 2020
DOI: https://doi.org/10.4093/dmj.2019.0171
  • 8,616 View
  • 260 Download
  • 4 Web of Science
  • 5 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

The age- and sex-related differences on the impacts of body composition on diabetes mellitus (DM) remain uncertain.

Methods

The fourth and fifth Korea National Health and Nutrition Examination Survey included 15,586 subjects over 30 years of age who completed dual-energy X-ray absorptiometry. We conducted a cross-sectional study to investigate whether muscle mass index (MMI), defined as appendicular skeletal muscle divided by body mass index (BMI), and fat mass index (FMI), defined as trunk fat mass divided by BMI, were differently associated with DM according to age and sex.

Results

In multivariate logistic regression, the risk for DM significantly increased across quartiles of FMI in men aged ≥70. Meanwhile, MMI showed a protective association with DM in men of the same age. The odds ratios (ORs) for the highest quartile versus the lowest quartile of FMI and MMI were 3.116 (95% confidence interval [CI], 1.405 to 6.914) and 0.295 (95% CI, 0.157 to 0.554), respectively. In women, the ORs of DM was significantly different across FMI quartiles in those over age 50. The highest quartile of FMI exhibited increased ORs of DM in subjects aged 50 to 69 (OR, 1.891; 95% CI, 1.229 to 2.908) and ≥70 (OR, 2.275; 95% CI, 1.103 to 4.69) compared to lowest quartile. However, MMI was not significantly associated with DM in women of all age groups.

Conclusion

Both FMI and MMI were independent risk factors for DM in men aged 70 years or more. In women over 50 years, FMI was independently associated with DM. There was no significant association between MMI and DM in women.

Citations

Citations to this article as recorded by  
  • Research Progress on Correlation between Body Composition Changes and Disease Pro-gression of Type 2 Diabetes
    敏 张
    Advances in Clinical Medicine.2024; 14(03): 936.     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
  • Is imaging-based muscle quantity associated with risk of diabetes? A meta-analysis of cohort studies
    Shanhu Qiu, Xue Cai, Yang Yuan, Bo Xie, Zilin Sun, Tongzhi Wu
    Diabetes Research and Clinical Practice.2022; 189: 109939.     CrossRef
  • Whole and segmental body composition changes during mid-follicular and mid-luteal phases of the menstrual cycle in recreationally active young women
    Şükran Nazan Koşar, Yasemin Güzel, Mehmet Gören Köse, Ayşe Kin İşler, Tahir Hazır
    Annals of Human Biology.2022; 49(2): 124.     CrossRef
  • Body Composition and Diabetes
    Hye Jin Yoo
    The Journal of Korean Diabetes.2021; 22(4): 238.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP