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Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
Eun Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung Do Han, Yong Gyu Park, Yang Hyun Kim, Won Young Lee
Diabetes Metab J. 2020;44(5):783-783.   Published online October 21, 2020
Corrects: Diabetes Metab J 2020;44(4):592
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  • 94 Download
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Original Article
Clinical Complications
Incidence and Risk Factors for Dementia in Type 2 Diabetes Mellitus: A Nationwide Population-Based Study in Korea
Ji Hee Yu, Kyungdo Han, Sanghyun Park, Hanna Cho, Da Young Lee, Jin-Wook Kim, Ji A Seo, Sin Gon Kim, Sei Hyun Baik, Yong Gyu Park, Kyung Mook Choi, Seon Mee Kim, Nan Hee Kim
Diabetes Metab J. 2020;44(1):113-124.   Published online November 12, 2019
  • 8,343 View
  • 206 Download
  • 33 Web of Science
  • 32 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   

Diabetes mellitus is associated with an increased risk of dementia. We aimed to comprehensively analyze the incidence and risk factors for dementia and young-onset dementia (YOD) in diabetic patients in Korea using the National Health Insurance Service data.


Between January 1, 2009 and December 31, 2012, a total of 1,917,702 participants with diabetes were included and followed until the date of dementia diagnosis or until December 31, 2015. We evaluated the incidence and risk factors for all dementia, Alzheimer's disease (AD), and vascular dementia (VaD) by Cox proportional hazards analyses. We also compared the impact of risk factors on the occurrence of YOD and late-onset dementia (LOD).


During an average of 5.1 years of follow-up, the incidence of all types of dementia, AD, or VaD was 9.5, 6.8, and 1.3/1,000 person-years, respectively, in participants with diabetes. YOD comprised 4.8% of all dementia occurrence, and the ratio of AD/VaD was 2.1 for YOD compared with 5.5 for LOD. Current smokers and subjects with lower income, plasma glucose levels, body mass index (BMI), and subjects with hypertension, dyslipidemia, vascular complications, depression, and insulin treatment developed dementia more frequently. Vascular risk factors such as smoking, hypertension, and previous cardiovascular diseases were more strongly associated with the development of VaD than AD. Low BMI and a history of stroke or depression had a stronger influence on the development of YOD than LOD.


The optimal management of modifiable risk factors may be important for preventing dementia in subjects with diabetes mellitus.


Citations to this article as recorded by  
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    Journal of Clinical Medicine.2024; 13(1): 260.     CrossRef
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    Francisco I. Pinheiro, Irami Araújo-Filho, Amália C.M. do Rego, Eduardo P. de Azevedo, Ricardo N. Cobucci, Fausto P. Guzen
    Ageing Research Reviews.2024; 96: 102250.     CrossRef
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    Biomedicine & Pharmacotherapy.2023; 162: 114647.     CrossRef
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    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
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    Yoonkyung Chang, Jimin Jeon, Tae-Jin Song, Jinkwon Kim
    Heliyon.2023; 9(6): e17428.     CrossRef
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    Frontiers in Cellular and Infection Microbiology.2023;[Epub]     CrossRef
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    Journal of the American Medical Directors Association.2023; 24(9): 1363.     CrossRef
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    Hee-Cheol Kim, Ho-Jun Lee, Yang-Tae Kim, Byeong-Churl Jang, Asirvatham Alwin Robert
    Journal of Diabetes Research.2023; 2023: 1.     CrossRef
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    Gratianne Rabiller, Zachary Ip, Shahram Zarrabian, Hongxia Zhang, Yoshimichi Sato, Azadeh Yazdan-Shahmorad, Jialing Liu
    Aging and disease.2023;[Epub]     CrossRef
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    Mei Wu, Fan Mei, Kaiyan Hu, Liyuan Feng, Zhe Wang, Qianqian Gao, Fei Chen, Li Zhao, Xiaohui Li, Bin Ma
    Acta Diabetologica.2022; 59(4): 443.     CrossRef
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    Biology.2022; 11(3): 382.     CrossRef
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    International Journal of Molecular Sciences.2022; 23(6): 2982.     CrossRef
  • Type 2 Diabetes Mellitus as a Risk Factor for Alzheimer’s Disease: Review and Meta-Analysis
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  • Cardiometabolic measures and cognition in early menopause - Analysis of baseline data from a randomized controlled trial
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    International Journal of Molecular Sciences.2022; 23(17): 9540.     CrossRef
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    Endocrinology and Metabolism.2021; 36(2): 424.     CrossRef
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    Diabetes & Metabolism Journal.2020; 44(2): 356.     CrossRef
  • The Interplay between Diabetes and Alzheimer’s Disease—In the Hunt for Biomarkers
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Short Communication
Associations between Breastfeeding and Type 2 Diabetes Mellitus and Glycemic Control in Parous Women: A Nationwide, Population-Based Study
Ga Eun Nam, Kyungdo Han, Do-Hoon Kim, Youn Huh, Byoungduck Han, Sung Jung Cho, Yong Gyu Park, Yong-Moon Park
Diabetes Metab J. 2019;43(2):236-241.   Published online December 21, 2018
  • 4,250 View
  • 45 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   

We investigated associations between breastfeeding duration and number of children breastfed and type 2 diabetes mellitus (T2DM) and glycemic control among parous women. We performed a cross-sectional analysis of data for 9,960 parous women from the Korea National Health and Nutritional Examination Survey (2010 to 2013). Having ever breastfed was inversely associated with prevalent T2DM (adjusted odds ratio [OR], 0.60; 95% confidence interval [CI], 0.42 to 0.87). All ranges of total and average breastfeeding duration showed inverse associations with T2DM. Even short periods of breastfeeding were inversely associated with T2DM (adjusted OR, 0.61; 95% CI, 0.38 to 0.99 for a total breastfeeding duration ≤12 months; adjusted OR, 0.65; 95% CI, 0.42 to 0.99 for an average breastfeeding duration per child ≤6 months). A longer duration of breastfeeding was associated with better glycemic control in parous women with T2DM (P trend=0.004 for total breastfeeding duration; P trend <0.001 for average breastfeeding duration per child). Breastfeeding may be associated with a lower risk of T2DM and good glycemic control in parous women with T2DM. Breastfeeding may be a feasible method to prevent T2DM and improve glycemic control.


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  • Integration of nutrigenomics, melatonin, serotonin and inflammatory cytokines in the pathophysiology of pregnancy-specific urinary incontinence in women with gestational diabetes mellitus
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    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2023; 1869(6): 166737.     CrossRef
  • Association of lactation with maternal risk of type 2 diabetes: A systematic review and meta‐analysis of observational studies
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  • Updates in Gestational Diabetes Prevalence, Treatment, and Health Policy
    Laura T. Dickens, Celeste C. Thomas
    Current Diabetes Reports.2019;[Epub]     CrossRef
Original Article
Clustering Characteristics of Risk Variables of Metabolic Syndrome in Korean Rural Populations.
Yong Moon Park, Hyuk Sang Kwon, Sun Young Lim, Jin Hee Lee, Sung Rae Kim, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Yong Gyu Park, Dong Suk Kim, Kwang ho Meng, Won Chul Lee
Korean Diabetes J. 2006;30(3):177-189.   Published online May 1, 2006
  • 2,284 View
  • 17 Download
  • 4 Crossref
AbstractAbstract PDF
The risks of both type 2 diabetes mellitus and cardiovascular disease are mainly associated with the metabolic syndrome which is characterized by clustering of metabolic risk factors, including abdominal obesity, glucose intolerance, hypertension, and dyslipidemia. This study aimed to examine the relations among metabolic risk variables and the underlying structure of the metabolic syndrome that unites related components. METHODS: Subjects were selected by stratified random cluster sampling among persons aged over 40 years from a rural area. Waist circumference, BMI, fasting glucose, fasting insulin, triglycerides, HDL cholesterol, systolic blood pressure, and diastolic blood pressure were used as risk variables of metabolic syndrome. Factor analysis, a multivariate correlation statistical technique, was performed on a dataset from nondiabetic 3,443 men and women without history of coronary heart disease. RESULTS: Exploratory factor analysis identified three factors in both gender (obesity, hypertension, and dyslipidemia-insulin resistance in men; obesity-insulin resistance, hypertension, and dyslipidemia in women). Fasting insulin was a common contributor to the structure of metabolic syndrome in male subjects, smokers and alcohol drinking group. Confirmatory factor analysis based on the results of exploratory factor analysis revealed that metabolic syndrome was represented primarily by obesity factor in men, obesity-insulin resistance factor in women, and that dyslipidemia factor was highly correlated with obesity factor in men, with insulin resistance factor in women. CONCLUSION: Underlying structure of metabolic syndrome was different between men and women, and obesity might be a primary target for prevention of both type 2 diabetes mellitus and cardiovascular disease in Korea.


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    Yonsei Medical Journal.2010; 51(4): 511.     CrossRef
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    Clinical and Experimental Hypertension.2010; 32(3): 166.     CrossRef

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