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Diabetes, Obesity and Metabolism
Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up
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, Seung Ku Lee, Chol Shin, Nan Hee Kim
Endocrinol Metab. 2023;38(1):146-155.   Published online February 6, 2023
DOI: https://doi.org/10.3803/EnM.2022.1582
  • 2,622 View
  • 165 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
We aimed to investigate the moderating effects of obesity, age, and sex on the association between sleep duration and the development of diabetes in Asians.
Methods
We analyzed data from a cohort of the Korean Genome and Epidemiology Study conducted from 2001 to 2020. After excluding shift workers and those with diabetes at baseline, 7,407 participants were stratified into three groups according to sleep duration: ≤5 hours/night, >5 to 7 hours/night (reference), and >7 hours/night. The Cox proportional hazards analyses were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident type 2 diabetes mellitus (T2DM). Subgroup analyses were performed according to obesity, age, and sex.
Results
During 16 years of follow-up, 2,024 cases of T2DM were identified. Individuals who slept ≤5 h/night had a higher risk of incident diabetes than the reference group (HR, 1.17; 95% CI, 1.02 to 1.33). The subgroup analysis observed a valid interaction with sleep duration only for obesity. A higher risk of T2DM was observed in the ≤5 hours/night group in non-obese individuals, men, and those aged <60 years, and in the >7 hours/night group in obese individuals (HRs were 1.34 [95% CI, 1.11 to 1.61], 1.22 [95% CI, 1 to 1.49], and 1.18 [95% CI, 1.01 to 1.39], respectively).
Conclusion
This study confirmed the effect of sleep deprivation on the risk of T2DM throughout the 16-year follow-up period. This impact was confined to non-obese or young individuals and men. We observed a significant interaction between sleep duration and obesity.

Citations

Citations to this article as recorded by  
  • 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 & Metabolism Journal.2024; 48(1): 37.     CrossRef
  • Role of Sleep and Sleep Disorders in Cardiometabolic Risk: a Review and Update
    Shaden O. Qasrawi, Ahmed S. BaHammam
    Current Sleep Medicine Reports.2024; 10(1): 34.     CrossRef
  • Evaluating reliability in wearable devices for sleep staging
    Vera Birrer, Mohamed Elgendi, Olivier Lambercy, Carlo Menon
    npj Digital Medicine.2024;[Epub]     CrossRef
  • All That Glitters Is Not Gold: The Same Sleep Time, but Different Diabetogenic Outcomes
    Bohye Kim, Obin Kwon
    Endocrinology and Metabolism.2023; 38(1): 78.     CrossRef
  • The Link Between Sleeping and Type 2 Diabetes: A Systematic Review
    Ali Darraj
    Cureus.2023;[Epub]     CrossRef
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Diabetes, Obesity and Metabolism
Changes in Insulin Resistance Index and the Risk of Liver Fibrosis in Patients with Nonalcoholic Fatty Liver Disease without Diabetes: Kangbuk Samsung Health Study
Dae-Jeong Koo, Mi Yeon Lee, Inha Jung, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinol Metab. 2021;36(5):1016-1028.   Published online October 21, 2021
DOI: https://doi.org/10.3803/EnM.2021.1110
  • 4,153 View
  • 128 Download
  • 5 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Fibrosis is the most important prognostic factor for nonalcoholic fatty liver disease (NAFLD). Insulin resistance plays a key role of fibrosis progression. We evaluated the association between changes in homeostasis model assessment of insulin resistance (HOMA-IR) values and changes in fibrosis status in NAFLD.
Methods
We analyzed the data of 15,728 participants with NAFLD (86% men, mean age 40.5 years) who had no diabetes at baseline and visited our centers for health check-ups both in 2012 and 2016. The participants were classified into four groups according to the degree of change in HOMA-IR values from baseline to the end of follow-up: G1 (<0), G2 (0–0.50), G3 (0.51–1.00), and G4 (>1.00). NAFLD was assessed by ultrasonography, and fibrosis status was evaluated by the NAFLD fibrosis score (NFS) and the aspartate aminotransferase to platelet ratio index (APRI).
Results
After the 4-year follow-up, the multivariable-adjusted odds ratio (OR) for progression of fibrosis probability increased with increasing HOMA-IR values (OR, 2.25; 95% confidence interval [CI], 1.87 to 2.71 for NFS; and OR, 2.55; 95% CI, 2.05 to 3.18 for APRI, G4). This tendency remained consistent throughout the subgroup analyses, except in those for female sex and a body mass index <25 kg/m2. The OR for regression of fibrosis probability decreased with increasing HOMA-IR values (OR, 0.33; 95% CI, 0.25 to 0.43 for NFS, G4).
Conclusion
Changes in HOMA-IR values were associated with changes in fibrosis status in patients with NAFLD without diabetes, which underscores the role of insulin resistance in liver fibrosis.

Citations

Citations to this article as recorded by  
  • Insulin Resistance/Sensitivity Measures as Screening Indicators of Metabolic-Associated Fatty Liver Disease and Liver Fibrosis
    Mohammad E. Khamseh, Mojtaba Malek, Soodeh Jahangiri, Sohrab Nobarani, Azita Hekmatdoost, Marieh Salavatizadeh, Samira Soltanieh, Haleh Chehrehgosha, Hoda Taheri, Zeinab Montazeri, Fereshteh Attaran, Faramarz Ismail-Beigi, Fariba Alaei-Shahmiri
    Digestive Diseases and Sciences.2024; 69(4): 1430.     CrossRef
  • Association between nonalcoholic fatty liver disease and left ventricular diastolic dysfunction: A 7-year retrospective cohort study of 3,496 adults using serial echocardiography
    Gyuri Kim, Tae Yang Yu, Jae Hwan Jee, Ji Cheol Bae, Mira Kang, Jae Hyeon Kim
    Diabetes & Metabolism.2024; : 101534.     CrossRef
  • Factors Associated with Liver Fibrosis in Chinese Patients with Type 2 Diabetes Mellitus and Non-Alcoholic Fatty Liver Disease
    Yu Luo, Cuiyu Wang, Tian Zhang, Xiaoyu He, Jianan Hao, Andong Shen, Hang Zhao, Shuchun Chen, Luping Ren
    International Journal of General Medicine.2023; Volume 16: 293.     CrossRef
  • Impact of COVID-19 Lockdown on Non-Alcoholic Fatty Liver Disease and Insulin Resistance in Adults: A before and after Pandemic Lockdown Longitudinal Study
    Ángel Arturo López-González, Bárbara Altisench Jané, Luis Masmiquel Comas, Sebastiana Arroyo Bote, Hilda María González San Miguel, José Ignacio Ramírez Manent
    Nutrients.2022; 14(14): 2795.     CrossRef
  • Metabolic Score for Insulin Resistance Is Inversely Related to Incident Advanced Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease
    Jun-Hyuk Lee, Yu-Jin Kwon, Kyongmin Park, Hye Sun Lee, Hoon-Ki Park, Jee Hye Han, Sang Bong Ahn
    Nutrients.2022; 14(15): 3039.     CrossRef
  • Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES
    Kexing Han, Kexuan Tan, Jiapei Shen, Yuting Gu, Zilong Wang, Jiayu He, Luyang Kang, Weijie Sun, Long Gao, Yufeng Gao
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • The crosstalk between insulin resistance and nonalcoholic fatty liver disease/metabolic dysfunction-associated fatty liver disease: a culprit or a consequence?
    Dae-Jeong Koo, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(4): 132.     CrossRef
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Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
The Effects of Glucose Lowering Agents on the Secondary Prevention of Coronary Artery Disease in Patients with Type 2 Diabetes
Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
Endocrinol Metab. 2021;36(5):977-987.   Published online October 14, 2021
DOI: https://doi.org/10.3803/EnM.2021.1046
  • 4,019 View
  • 175 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Patients with diabetes have a higher risk of requiring repeated percutaneous coronary intervention (PCI) than non-diabetic patients. We aimed to evaluate and compare the effects of anti-diabetic drugs on the secondary prevention of myocardial infarction among type 2 diabetes mellitus patients.
Methods
We analyzed the general health check-up dataset and claims data of the Korean National Health Insurance Service of 199,714 participants (age ≥30 years) who underwent PCIs between 2010 and 2013. Those who underwent additional PCI within 1 year of their first PCI (n=3,325) and those who died within 1 year (n=1,312) were excluded. Patients were classified according to their prescription records for glucose-lowering agents. The primary endpoint was the incidence rate of coronary revascularization.
Results
A total of 35,348 patients were included in the study. Metformin significantly decreased the risk of requiring repeat PCI in all patients (adjusted hazard ratio [aHR], 0.77). In obese patients with body mass index (BMI) ≥25 kg/m2, patients treated with thiazolidinedione (TZD) exhibited a decreased risk of requiring repeat revascularization than those who were not treated with TZD (aHR, 0.77; 95% confidence interval, 0.63 to 0.95). Patients treated with metformin showed a decreased risk of requiring revascularization regardless of their BMI. Insulin, meglitinide, and alpha-glucosidase inhibitor were associated with increased risk of repeated PCI.
Conclusion
The risk of requiring repeat revascularization was lower in diabetic patients treated with metformin and in obese patients treated with TZD. These results suggest that physicians should choose appropriate glucose-lowering agents for the secondary prevention of coronary artery disease.

Citations

Citations to this article as recorded by  
  • Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
    Zhuoyan Zhao, Huan Lian, Yixiang Liu, Lixian Sun, Ying Zhang
    Coronary Artery Disease.2023; 34(5): 306.     CrossRef
  • Effect of metformin on adverse outcomes in T2DM patients: Systemic review and meta-analysis of observational studies
    Zhicheng Xu, Haidong Zhang, Chenghui Wu, Yuxiang Zheng, Jingzhou Jiang
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Establishment of a Predictive Model for Poor Prognosis of Incomplete Revascularization in Patients with Coronary Heart Disease and Multivessel Disease
    Huan Lian, Zhuoyan Zhao, Kelin Ma, Zhenjiang Ding, Lixian Sun, Ying Zhang
    Clinical and Applied Thrombosis/Hemostasis.2022; 28: 107602962211392.     CrossRef
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Diabetes, Obesity and Metabolism
Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability
Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinol Metab. 2021;36(4):845-854.   Published online August 27, 2021
DOI: https://doi.org/10.3803/EnM.2021.1098
  • 4,919 View
  • 140 Download
  • 7 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Weight loss through lifestyle modification is recommended for patients with nonalcoholic fatty liver disease (NAFLD). Recent studies have suggested that repeated loss and gain of weight is associated with worse health outcomes. This study aimed to examine the association between weight variability and the risk of NAFLD in patients without diabetes.
Methods
We examined the health-checkup data of 30,708 participants who had undergone serial examinations between 2010 and 2014. Weight variability was assessed using coefficient of variation and the average successive variability of weight (ASVW), which was defined as the sum of absolute weight changes between successive years over the 5-year period divided by 4. The participants were classified according to the baseline body mass index and weight difference over 4 years.
Results
On dividing the participants into four groups according to ASVW quartile groups, those in the highest quartile showed a significantly increased risk of NAFLD compared to those in the lowest quartile (odds ratio [OR], 1.89; 95% confidence interval [CI], 1.63 to 2.19). Among participants without obesity at baseline, individuals with high ASVW showed increased risk of NAFLD (OR, 1.80; 95% CI, 1.61 to 2.01). Participants with increased weight over 4 years and high ASVW demonstrated higher risk of NAFLD compared to those with stable weight and low ASVW (OR, 4.87; 95% CI, 4.29 to 5.53).
Conclusion
Regardless of participant baseline obesity status, high weight variability was associated with an increased risk of developing NAFLD. Our results suggest that further effort is required to minimize weight fluctuations after achieving a desirable body weight.

Citations

Citations to this article as recorded by  
  • Changes in Macronutrients during Dieting Lead to Weight Cycling and Metabolic Complications in Mouse Model
    Anouk Charlot, Anthony Bringolf, Léa Debrut, Joris Mallard, Anne-Laure Charles, Emilie Crouchet, Delphine Duteil, Bernard Geny, Joffrey Zoll
    Nutrients.2024; 16(5): 646.     CrossRef
  • Body weight variability and the risk of liver‐related outcomes in type 2 diabetes and steatotic liver disease: a cohort study
    Nathalie C. Leite, Claudia R. L. Cardoso, Cristiane A. Villela‐Nogueira, Gil F. Salles
    Obesity.2024;[Epub]     CrossRef
  • Weight variability, physical functioning and incident disability in older adults
    Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(4): 1648.     CrossRef
  • Dulaglutide Ameliorates Palmitic Acid-Induced Hepatic Steatosis by Activating FAM3A Signaling Pathway
    Jinmi Lee, Seok-Woo Hong, Min-Jeong Kim, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2022; 37(1): 74.     CrossRef
  • Triglyceride and glucose index is a simple and easy‐to‐calculate marker associated with nonalcoholic fatty liver disease
    Kyung‐Soo Kim, Sangmo Hong, Hong‐Yup Ahn, Cheol‐Young Park
    Obesity.2022; 30(6): 1279.     CrossRef
  • Metabolic (dysfunction)-associated fatty liver disease in individuals of normal weight
    Mohammed Eslam, Hashem B. El-Serag, Sven Francque, Shiv K. Sarin, Lai Wei, Elisabetta Bugianesi, Jacob George
    Nature Reviews Gastroenterology & Hepatology.2022; 19(10): 638.     CrossRef
  • Impact of COVID-19 Lockdown on Non-Alcoholic Fatty Liver Disease and Insulin Resistance in Adults: A before and after Pandemic Lockdown Longitudinal Study
    Ángel Arturo López-González, Bárbara Altisench Jané, Luis Masmiquel Comas, Sebastiana Arroyo Bote, Hilda María González San Miguel, José Ignacio Ramírez Manent
    Nutrients.2022; 14(14): 2795.     CrossRef
  • Higher Weight Variability Could Bring You a Fatty Liver
    Yeoree Yang, Jae-Hyoung Cho
    Endocrinology and Metabolism.2021; 36(4): 766.     CrossRef
  • Autonomic Imbalance Increases the Risk for Non-alcoholic Fatty Liver Disease
    Inha Jung, Da Young Lee, Mi Yeon Lee, Hyemi Kwon, Eun-Jung Rhee, Cheol-Young Park, Ki-Won Oh, Won-Young Lee, Sung-Woo Park, Se Eun Park
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
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Clinical Study
The Prevalence and Risk of Type 2 Diabetes in Adults with Disabilities in Korea
Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee
Endocrinol Metab. 2020;35(3):552-561.   Published online July 22, 2020
DOI: https://doi.org/10.3803/EnM.2020.653
  • 8,103 View
  • 188 Download
  • 11 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
People with disabilities are at risk of secondary conditions such as diabetes. The aim of this study was to evaluate the prevalence and risk of type 2 diabetes in South Korea, especially among people with all types of disabilities.
Methods
We conducted a cross-sectional study using data from the Korean National Health Insurance Service, with two disabilityfree controls matched for each participant with disabilities by age and sex. Information regarding the type, severity and grade of disabilities was obtained based on the National Disability Registry. Diagnosis of type 2 diabetes was defined according to the following criteria: presence of International Classification of Diseases, Tenth Revision, Clinical Modification codes E11, E12, E13, or E14 and claims for at least one oral anti-diabetic agent or insulin at baseline, or fasting glucose level ≥126 mg/dL.
Results
We included 1,297,806 participants with disabilities and 2,943,719 control. Out of 4,241,525 participants, 841,990 (19.9%) were diagnosed with diabetes. The prevalence of diabetes was higher in the disability group compared with individuals without disabilities (23.1% vs. 18.4%). The odds of having diabetes was higher in the disability group compared with the control group (adjusted odds ratio, 1.34; 95% confidence interval, 1.33 to 1.34). The results showed higher prevalence of diabetes in the mildly disabled group (23.2%) than in the severely disabled group (22.7%).
Conclusion
The prevalence and risk of diabetes were higher in people with disabilities compared with the general population. Physicians and public health authorities should focus on people with disabilities for proper diabetes management.

Citations

Citations to this article as recorded by  
  • 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
  • Bipolar disorder and the risk of cardiometabolic diseases, heart failure, and all-cause mortality: a population-based matched cohort study in South Korea
    You-Bin Lee, Hyewon Kim, Jungkuk Lee, Dongwoo Kang, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim, Hong Jin Jeon, Kyu Yeon Hur
    Scientific Reports.2024;[Epub]     CrossRef
  • Psychotic Disorders and the Risk of Type 2 Diabetes Mellitus, Atherosclerotic Cardiovascular Diseases, and All-Cause Mortality: A Population-Based Matched Cohort Study
    You-Bin Lee, Hyewon Kim, Jungkuk Lee, Dongwoo Kang, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim, Hong Jin Jeon, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2024; 48(1): 122.     CrossRef
  • Pathways linking health literacy to self-care in diabetic patients with physical disabilities: A moderated mediation model
    Hye Jin Nam, Ju Young Yoon, Wen-Jun Tu
    PLOS ONE.2024; 19(3): e0299971.     CrossRef
  • Dysphagia Requiring Medical Attention in Parkinson’s Disease: A Korean Population-Based Study
    Seungwoo Cha, Won Kee Chang, Hee-Mun Cho, Kyungdo Han, Nam-Jong Paik, Sohyun Kwon, Won-Seok Kim
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Disparities in diabetes-related avoidable hospitalization among diabetes patients with disability using a nationwide cohort study
    Hin Moi Youn, Dong-Woo Choi, Sung-In Jang, Eun-Cheol Park
    Scientific Reports.2022;[Epub]     CrossRef
  • Disability type–specific mortality patterns and life expectancy among disabled people in South Korea using 10-year combined data between 2008 and 2017
    Jinwook Bahk, Hee-Yeon Kang, Young-Ho Khang
    Preventive Medicine Reports.2022; 29: 101958.     CrossRef
  • Cholecystectomy reduces the risk of myocardial and cerebral infarction in patients with gallstone-related infection
    Seon Mee Park, Hyun Jung Kim, Tae Uk Kang, Heather Swan, Hyeong Sik Ahn
    Scientific Reports.2022;[Epub]     CrossRef
  • Nationwide trends in the incidence of tuberculosis among people with disabilities in Korea: a nationwide serial cross-sectional study
    Jinsoo Min, So Young Kim, Jong Eun Park, Yeon Yong Kim, Jong Hyock Park
    Epidemiology and Health.2022; 44: e2022098.     CrossRef
  • Cumulative exposure to impaired fasting glucose and future risk of type 2 diabetes mellitus
    Mee Kyoung Kim, Kyungdo Han, Eun Sil Koh, Oak-Kee Hong, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
    Diabetes Research and Clinical Practice.2021; 175: 108799.     CrossRef
  • Diabetes in People with Disabilities: a Call for Action
    Inha Jung, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2021; 3(4): 82.     CrossRef
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Endocrinol Metab : Endocrinology and Metabolism