Pan Ke1, Xia Wu2, Minzhi Xu1, Jie Feng1, Hongbin Xu1, Yong Gan1, Chao Wang1, Zhenyu Deng2, Xiang Liu2, Wenning Fu3, Qingfeng Tian4, Yan He4, Lirong Zhong5, Heng Jiang6,7, Zuxun Lu8. 1. Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China. 2. Baoan District Songgang People's Hospital, Shenzhen, Guangdong, China. 3. School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. 4. School of Public Health, Zhengzhou University, Zhengzhou, Henan, China. 5. School of Public Health, Hubei University of Medicine, Shiyan, Hubei, China. 6. Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, 3086, Australia. Jason.Jiang@latrobe.edu.au. 7. School of Population and Global Health, Centre for Health Equity, University of Melbourne, MelbourneMelbourne, VIC, Australia. Jason.Jiang@latrobe.edu.au. 8. Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, China. zuxunlu@yahoo.com.
Abstract
PURPOSE: Although a significant proportion of type 2 diabetes mellitus (T2DM) cases arose from normal-weight individuals, studies on indicators of T2DM in normal-weight people are limited. Accordingly, this study aims to investigate the predictive value of obesity indices and triglyceride glucose-related parameters (TyG-related parameters) in T2DM among normal-weight Chinese elderly. METHODS: A total of 24,215 normal-weight Chinese elderly (age ≥ 60 years) [body mass index-BMI (18.5-23.9 kg/m2)] were included. Obesity indices and triglyceride glucose-related parameters (TyG-related parameters) included waist circumference (WC), waist-to-height ratio (WHtR), visceral adiposity index (VAI), lipid accumulation product (LAP), and TyG-related parameters (TyG, TyG-BMI, TyG-WC, and TyG-WHtR). Multivariate logistic regression analysis was performed to examine the associations between obesity- and TyG-related indices and T2DM. The areas under the curve (AUC) of the receiver-operating characteristic (ROC) curve analyses were used to evaluate and compare the predictive value of the different indices. RESULTS: The prevalence of T2DM was 14.2% in normal-weight individuals. Among the indices, TyG was significantly associated with T2DM among men and women, respectively, (adjusted odds ratio-aOR per SD 3.46; 95% CI 3.23-3.71) and (aOR per SD 3.64; 95% CI 3.43-3.86). Compared with other indices, TyG had the highest AUC value for T2DM in men (AUC: 0.818, 95% CI 0.810-0.825) and women (AUC: 0.824, 95% CI 0.814-0.833). CONCLUSIONS: TyG is an effective marker and outperforms other indices when predicting T2DM in the normal-weight Chinese elderly population. LEVEL OF EVIDENCE: Level V: Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.
PURPOSE: Although a significant proportion of type 2 diabetes mellitus (T2DM) cases arose from normal-weight individuals, studies on indicators of T2DM in normal-weight people are limited. Accordingly, this study aims to investigate the predictive value of obesity indices and triglyceride glucose-related parameters (TyG-related parameters) in T2DM among normal-weight Chinese elderly. METHODS: A total of 24,215 normal-weight Chinese elderly (age ≥ 60 years) [body mass index-BMI (18.5-23.9 kg/m2)] were included. Obesity indices and triglyceride glucose-related parameters (TyG-related parameters) included waist circumference (WC), waist-to-height ratio (WHtR), visceral adiposity index (VAI), lipid accumulation product (LAP), and TyG-related parameters (TyG, TyG-BMI, TyG-WC, and TyG-WHtR). Multivariate logistic regression analysis was performed to examine the associations between obesity- and TyG-related indices and T2DM. The areas under the curve (AUC) of the receiver-operating characteristic (ROC) curve analyses were used to evaluate and compare the predictive value of the different indices. RESULTS: The prevalence of T2DM was 14.2% in normal-weight individuals. Among the indices, TyG was significantly associated with T2DM among men and women, respectively, (adjusted odds ratio-aOR per SD 3.46; 95% CI 3.23-3.71) and (aOR per SD 3.64; 95% CI 3.43-3.86). Compared with other indices, TyG had the highest AUC value for T2DM in men (AUC: 0.818, 95% CI 0.810-0.825) and women (AUC: 0.824, 95% CI 0.814-0.833). CONCLUSIONS: TyG is an effective marker and outperforms other indices when predicting T2DM in the normal-weight Chinese elderly population. LEVEL OF EVIDENCE: Level V: Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.
Authors: Rena R Wing; Wei Lang; Thomas A Wadden; Monika Safford; William C Knowler; Alain G Bertoni; James O Hill; Frederick L Brancati; Anne Peters; Lynne Wagenknecht Journal: Diabetes Care Date: 2011-05-18 Impact factor: 19.112