본문 바로가기
KERD
논문KCI 등재

제2형 당뇨병 예측을 위한 비만지표와 위험 요인의 영향력 탐색

Evaluating the Predictive Efficiency of Obesity-related Factors for Type 2 Diabetes: A Panel Study Using KoGES Data

1

조회

0

다운로드

1

인용

0

참고문헌

키워드

초록

Objectives: Obesity is a global health concern, widely recognized for its association with the risk of developing type 2 diabetes. This study aimed to investigate the relative predictive efficacy of obesity-related indicators, including BMI, body fat percentage, and waist-to-hip ratio, in predicting the inci- dence of type 2 diabetes in Korean middle-aged to older adults. Methods: Using twelve years of panel data derived from the Korean Genome and Epi- demiology Study, we conducted a logit regression analysis to evaluate the predictive efficiency of three obesity-related indicators while controlling for individual characteristics and behavioral risk factors. Results: For initial screening, we examined the variation of three obesity indexes explained by age and male indicators. Among the three obesity indexes, about 11.3% to 49% of variations in body fat percentage and waist-to-hip ratio were explained away by age and male gender, but these two factors hardly explained BMI variation. We showed that all three obesity-related indicators were significant predictors of type 2 diabetes without other controls in the model. However, once controlling for socioeconomic and behavioral factors likely associated with health, we showed that only BMI remained a significant predictor of type 2 diabetes. We further showed that older age, male gender, smoking, and sleep duration were also significant predictors of type 2 diabetes, other than BMI. Conclusions: Our findings underscore the relatively superior predic- tive efficacy of BMI beyond the other obesity indicators for type 2 diabetes risk. The results indicate that a comprehensive assessment, combined with secure BMI monitoring, is imperative for preventing and early detecting type 2 diabetes, especially in populations with multiple risk factors.

Abstract

Objectives: Obesity is a global health concern, widely recognized for its association with the risk of developing type 2 diabetes. This study aimed to investigate the relative predictive efficacy of obesity-related indicators, including BMI, body fat percentage, and waist-to-hip ratio, in predicting the inci- dence of type 2 diabetes in Korean middle-aged to older adults. Methods: Using twelve years of panel data derived from the Korean Genome and Epi- demiology Study, we conducted a logit regression analysis to evaluate the predictive efficiency of three obesity-related indicators while controlling for individual characteristics and behavioral risk factors. Results: For initial screening, we examined the variation of three obesity indexes explained by age and male indicators. Among the three obesity indexes, about 11.3% to 49% of variations in body fat percentage and waist-to-hip ratio were explained away by age and male gender, but these two factors hardly explained BMI variation. We showed that all three obesity-related indicators were significant predictors of type 2 diabetes without other controls in the model. However, once controlling for socioeconomic and behavioral factors likely associated with health, we showed that only BMI remained a significant predictor of type 2 diabetes. We further showed that older age, male gender, smoking, and sleep duration were also significant predictors of type 2 diabetes, other than BMI. Conclusions: Our findings underscore the relatively superior predic- tive efficacy of BMI beyond the other obesity indicators for type 2 diabetes risk. The results indicate that a comprehensive assessment, combined with secure BMI monitoring, is imperative for preventing and early detecting type 2 diabetes, especially in populations with multiple risk factors.

참고문헌 (39)

  1. Sun H, "IDF Diabetes Atlas : Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045", Diabetes Res Clin Pract, 183, pp.109119~ (2022)[DOI]
  2. "Korea National Health and Nutrition Examination Survey 2024"[URL]
  3. Marx J, "Unraveling the causes of diabetes", Sci, 296(5568), pp.686~689 (2002)[DOI]
  4. Gatineau M, "Adult obesity and type 2 diabetes" (2014), Public Health England
  5. Chan JCN, "The Lancet Commission on diabetes : Using data to transform diabetes care and patient lives", Lancet, 396(10267), pp.2019~2082 (2021)[DOI]
  6. Klein S, "Why does obesity cause diabetes?", Cell Metab, 34(1), pp.11~20 (2022)[DOI]
  7. Magliano DJ, "Trends in incidence of total or type 2 diabetes : Systematic review", BMJ, 366, pp.l5003~ (2019)[DOI]
  8. Lee CM, "Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI : A meta-analysis", J Clin Epidemiol, 61(7), pp.646~653 (2008)[DOI]
  9. Ashwell M, "Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors : Systematic review and meta-analysis", Obes Rev, 13(3), pp.275~286 (2012)[DOI]
  10. Czernichow S, "Comparison of waist-to-hip ratio and other obesity indices as predictors of cardiovascular disease risk in people with type-2diabetes : A prospective cohort study from ADVANCE", Eur J Cardiovasc Prev Rehabil, 18(2), pp.312~319 (2011)[DOI]
  11. Kim JM, "Validation of waist-to-height ratio for predicting metabolic syndrome in patients with prediabetes", Korean J Obes, 24(1), pp.36~43 (2015)[DOI]
  12. De Koning L, "Waist circumference and waist-to-hip ratio as predictors of cardiovascular events : Meta-regression analysis of prospective studies", Eur Heart J, 28(7), pp.850~856 (2007)[DOI]
  13. Wu H, "Metabolic inflammation and insulin resistance in obesity", Circ Res, 126(11), pp.1549~1564 (2020)[DOI]
  14. Myint PK, "Body fat percentage, body mass index and waist-to-hip ratio as predictors of mortality and cardiovascular disease", Heart, 100(20), pp.1613~1619 (2014)[DOI]
  15. Van Dis I, "Body mass index and waist circumference predict both 10-year nonfatal and fatal cardiovascular disease risk : Study conducted in 20000 Dutch men and women aged 20-65 years", Eur J Prev Cardiol, 16(6), pp.729~734 (2009)[DOI]
  16. Nazare JA, "Ethnic influences on the relations between abdominal subcutaneous and visceral adiposity, liver fat, and cardiometabolic risk profile : The international study of prediction of intra-abdominal adiposity and its relationship with cardiometabolic risk", intra-abdominal adiposity, 2012, pp.96(4), 714~726
  17. "Korean Genome and Epidemiology Study"[URL]
  18. National Institute of Health, Korea Disease Control and Prevention Agency, "Manual of Korean Genome and Epidemiology Study, 2011", National Institute of Health, Korea Disease Control and Prevention Agency, ~ (2011)
  19. Ravensbergen HRJC, "Waist circumference is the best index for obesity-related cardiovascular disease risk in individuals with spinal cord injury", J Neurotrauma, 31(3), pp.292~300 (2014)[DOI]
  20. Kragelund C, "A farewell to body-mass index?", Lancet, 366(9497), pp.1589~1591 (2005)[DOI]
  21. Zafari N, "Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes : Results of a cohort study", BMC Public Health, 18(1), pp.691~ (2018)[DOI]
  22. Forouhi NG, "CVD risk factors and ethnicity—a homogeneous relationship?", Atheroscler Suppl, 7(1), pp.11~19 (2006)[DOI]
  23. Jung HS, "Impact of body mass index, metabolic health and weight change on incident diabetes in a Korean population", Obesity(Silver Spring), 22(8), pp.1880~1887 (2014)[DOI]
  24. Jung JY, "The risk of type 2 diabetes mellitus according to the categories of body mass index : The Korean Genome and Epidemiology Study(KoGES)", Acta Diabetol, 55(5), pp.479~484 (2018)[DOI]
  25. Anothaisintawee T, "Sleep disturbances compared to traditional risk factors for diabetes development : Systematic review and meta-analysis", Sleep Med Rev, 30, pp.11~24 (2016)[DOI]
  26. Chang SA, "Smoking and type 2 diabetes mellitus", Diabetes Metab Journal, 36(6), pp.399~403 (2012)[DOI]
  27. Mallon L, "High incidence of diabetes in men with sleep complaints or short sleep duration : A 12-year follow-up study of a middle-aged population", Diabetes Care, 28(11), pp.2762~2767 (2005)[DOI]
  28. Śliwińska-Mossoń M, "The impact of smoking on the development of diabetes and its complications", Diab Vasc Dis Res, 14(4), pp.265~276 (2017)[DOI]
  29. Kalyani RR, "Diabetes and aging : unique considerations and goals of care", Diabetes Care, 40(4), pp.440~443 (2017)[DOI]
  30. Pan A, "Relation of active, passive, and quitting smoking with incident type 2 diabetes : A systematic review and meta-analysis", Lancet Diabetes Endocrinol, 3(12), pp.958~967 (2015)[DOI]
  31. Chao CY, "Sleep duration is a potential risk factor for newly diagnosed type 2 diabetes mellitus", Metabolism, 60(6), pp.799~804 (2011)[DOI]
  32. Peters SAE, "Sex differences in the burden and complications of diabetes", Curr Diab Rep, 18(6), pp.33~ (2018)[DOI]
  33. Shi L, "Physical activity, smoking, and alcohol consumption in association with incidence of type 2 diabetes among middle-aged and elderly Chinese men", PLoS One, 8(11), pp.e77919~ (2013)[DOI]
  34. Wannamethee SG, "Smoking as a modifiable risk factor for type 2 diabetes in middle-aged men", Diabetes Care, 24(9), pp.1590~1595 (2001)[DOI]
  35. Cordora Hsu AR, "Incidence of diabetes according to metabolically healthy or unhealthy normal weight or overweight", obesity in postmenopausal women : The Women’s Health Initiative, 2020, pp.27(6), 640~647
  36. Goodman-Gruen D, "Sex differences in measures of body fat and body fat distribution in the elderly", Am J Epidemiol, 43(9), pp.898~906 (1996)[DOI]
  37. Burkhauser RV, "Beyond BMI : The value of more accurate measures of fatness and obesity in social science research", J Health Econ, 27(2), pp.519~529 (2008)[DOI]
  38. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults—The evidence report, "National Institutes of Health, National Heart, Lung and Blood Institute", National Institutes of Health, ~ (1998)
  39. Obesity: preventing and managing the global epidemic. Report of a WHO consultation, "World Health Organization", i~253, pp.World Health Organ Tech Rep Ser 894 (2000)

관련 논문AI추천

이 간행물의 다른 논문 (10건)