Korean J Obes 2013; 22(3): 148-154
Published online September 30, 2013
Copyright © Korean Society for the Study of Obesity.
So Yeon Yoo(1), Miyeon Kim(3), Suhee Kim(1), Sung Hyun Kim(1), Seong Joo Ko(1), Jong Wook Beom(1), Ji Young Kim(1), Jaemin Jo(1), Yung Uck Kim(1), Dahee Heo(1), Jae cheol Moon(1), Shinhang Moon(1), Yung Hyup Lim(1), Sang Ah Lee(1), Dae-Ho Lee(4), Dong Mee Lim(5), Keun Young Park(5), Byung-Joon Kim(6), Gwanpyo Koh(1).(2)*
Department of Internal Medicine, Jeju National University Hospital(1), Department of Internal Medicine, Jeju National University School of Medicine(2), Department of Nephrology, Asan Medical Cencer(3), Department of Endocrinology & Metabolism, Wonkwang University Hospital(4), Department of Endocrinology & Metabolism, Konyang University Hospital(5), Department of Endocrinology & Metabolism, Gachon University Gil Medical Center(6)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background: We aimed to determine which index of obesity is the best discriminator of cardiovascular (CV) risk in Korean type 2 diabetes (T2DM) patients.
Methods: This is a cross-sectional study involving 1,111 T2DM patients from two university hospitals. We measured body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and biochemical CV risk factors in all subjects. The 10-year
coronary heart disease risk was calculated with the Framingham Risk Score
Results: BMI showed significant correlation with SBP (systolic blood pressure), DBP (diastolic blood pressure), TC (total cholesterol), TG (triglyceride), HDL-C, and LDL-C. WC showed significant correlation to SBP, DBP, homocysteine, TG and HDL-C. WHR was significantly associated with SBP, DBP, TG, HDL and microalbuminuria. WHtR was significantly correlated to SBP, TG, HDL-C and LDL-C. WC (P ≤ 0.001, P for trend ≤ 0.001), WHR (P = 0.002, P for trend ≤ 0.001) and WHtR (P = 0.001, P for trend ≤ 0.001), except for BMI (P = 0.628, P for trend = 0.258), showed significant differences according to increasing quintiles of Framingham Risk Score.
Conclusion: WC, WHR and WHtR were more closely related to CV risk score than BMI in Korean T2DM patients.
Keywords: Type 2 diabetes, Body mass index, Waist circumference, Waist-to-hip ratio, Waist-to-height ratio, Framingham risk score