Ming-Feng Xia1,2, Huan-Dong Lin1,2, Ling-Yan Chen3, Li Wu1,2, Hui Ma3, Qian Li1,2, Qiqige Aleteng1,2, Ying Chen4, Yi-Xuan Sun1,2, Yu Hu3, Bai-Shen Pan5, Xiao-Ying Li1,2, Xin Gao1,2. 1. Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China. 2. Fudan Institute for Metabolic Diseases, Fudan University, Shanghai, China. 3. Department of Geriatrics, Zhongshan Hospital, Fudan University, Shanghai, China. 4. Department of Endocrinology and Metabolism, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. 5. Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Abstract
OBJECTIVE: A Chinese visceral adiposity index (CVAI) was recently established to estimate the visceral fat area in Chinese adults. This study aimed to investigate the risk of incident prediabetes and diabetes in relation to visceral adiposity calculated by CVAI. METHODS: A total of 2558 subjects with normal plasma glucose levels from the Shanghai Changfeng Study were enrolled in a prospective cohort study. The independent associations of basal visceral fat area by CVAI and its longitudinal change with incident prediabetes and diabetes were identified using Cox regression analyses. RESULTS: During an average of 4.4 years of follow-up, 546 (21.3%) and 99 (3.9%) of 2558 nondiabetic subjects developed prediabetes and diabetes, respectively. Visceral fat area by CVAI and its longitudinal increase were independently associated with incident prediabetes and diabetes in Chinese adults. In a multivariable-adjusted regression model, CVAI, as well as its annual change, was the strongest independent predictor of incident prediabetes (HR, 1.383 [1.162-1.647]) and diabetes (HR, 1.607 [1.092-2.364]) compared with other estimates of obesity (BMI and waist circumference). Receiver operating characteristic curve analyses showed that CVAI had better performance than BMI and waist circumference for the prediction of prediabetes and diabetes in Chinese adults. CONCLUSIONS: Visceral adiposity plays a pivotal role in the pathogenesis of diabetes, and the visceral adiposity estimated by CVAI is superior to the traditional estimates of obesity for the prediction of incident prediabetes and diabetes in Chinese adults.
OBJECTIVE: A Chinese visceral adiposity index (CVAI) was recently established to estimate the visceral fat area in Chinese adults. This study aimed to investigate the risk of incident prediabetes and diabetes in relation to visceral adiposity calculated by CVAI. METHODS: A total of 2558 subjects with normal plasma glucose levels from the Shanghai Changfeng Study were enrolled in a prospective cohort study. The independent associations of basal visceral fat area by CVAI and its longitudinal change with incident prediabetes and diabetes were identified using Cox regression analyses. RESULTS: During an average of 4.4 years of follow-up, 546 (21.3%) and 99 (3.9%) of 2558 nondiabetic subjects developed prediabetes and diabetes, respectively. Visceral fat area by CVAI and its longitudinal increase were independently associated with incident prediabetes and diabetes in Chinese adults. In a multivariable-adjusted regression model, CVAI, as well as its annual change, was the strongest independent predictor of incident prediabetes (HR, 1.383 [1.162-1.647]) and diabetes (HR, 1.607 [1.092-2.364]) compared with other estimates of obesity (BMI and waist circumference). Receiver operating characteristic curve analyses showed that CVAI had better performance than BMI and waist circumference for the prediction of prediabetes and diabetes in Chinese adults. CONCLUSIONS: Visceral adiposity plays a pivotal role in the pathogenesis of diabetes, and the visceral adiposity estimated by CVAI is superior to the traditional estimates of obesity for the prediction of incident prediabetes and diabetes in Chinese adults.
Authors: Gertraud Maskarinec; Phyllis Ash Raquinio; Veronica W Setiawan; Thomas Ernst; Adrian A Franke; Steven D Buchthal; John A Shepherd; Lynne R Wilkens; Unhee Lim; Loïc Le Marchand Journal: Ann Epidemiol Date: 2021-07-21 Impact factor: 6.996