Peng Ju Liu1, Fang Ma, Hui Ping Lou, Yu Chen. 1. Department of Clinical Nutrition, Peking Union Medical College Hospital, China Academic Medical Science and Peking Union Medical College, Beijing, PR China.
Abstract
BACKGROUND/AIMS: Diabetes mellitus and pre-diabetes are closely associated with visceral obesity. Visceral adiposity index (VAI) is a novel sex-specific index, indirectly expressing visceral adipose function. Our aim was to determine the associations of VAI with dysglycemia (the combination of diabetes and pre-diabetes) and to compare the predictive ability for dysglycemia between VAI and traditional obesity indices. METHODS: We performed a cross-sectional analysis of the data of 2,754 Chinese community-dwelling people who participated in the health checkup. Sex-specific VAI tertile cut-off points were used as follows: 1.70, 2.77 in males and 0.98, 1.75 in females. Binary logistic regression models were performed to estimate the association of the higher values of all the obesity indices with pre-diabetes and diabetes. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was applied to compare the predictive potential for dysglycemia among the obesity indices. RESULTS: VAI was the only index significantly associated with both pre-diabetes and diabetes in both sexes after adjusting for potential confounders. The results of ROC analysis and AUC showed that VAI possessed the largest AUC, followed by other obesity indices. CONCLUSIONS: Higher VAI values are positively associated with the presence of pre-diabetes and diabetes in Chinese adults.
BACKGROUND/AIMS: Diabetes mellitus and pre-diabetes are closely associated with visceral obesity. Visceral adiposity index (VAI) is a novel sex-specific index, indirectly expressing visceral adipose function. Our aim was to determine the associations of VAI with dysglycemia (the combination of diabetes and pre-diabetes) and to compare the predictive ability for dysglycemia between VAI and traditional obesity indices. METHODS: We performed a cross-sectional analysis of the data of 2,754 Chinese community-dwelling people who participated in the health checkup. Sex-specific VAI tertile cut-off points were used as follows: 1.70, 2.77 in males and 0.98, 1.75 in females. Binary logistic regression models were performed to estimate the association of the higher values of all the obesity indices with pre-diabetes and diabetes. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was applied to compare the predictive potential for dysglycemia among the obesity indices. RESULTS:VAI was the only index significantly associated with both pre-diabetes and diabetes in both sexes after adjusting for potential confounders. The results of ROC analysis and AUC showed that VAI possessed the largest AUC, followed by other obesity indices. CONCLUSIONS: Higher VAI values are positively associated with the presence of pre-diabetes and diabetes in Chinese adults.
Authors: Adela Brahimaj; Fernando Rivadeneira; Taulant Muka; Eric J G Sijbrands; Oscar H Franco; Abbas Dehghan; Maryam Kavousi Journal: Diabetologia Date: 2019-06-10 Impact factor: 10.122
Authors: Camila Maciel de Oliveira; Anderson Zampier Ulbrich; Felipe Silva Neves; Fernando Augusto Lavezzo Dias; Andréa Roseli Vançan Russo Horimoto; José Eduardo Krieger; Rafael de Oliveira Alvim; Alexandre da Costa Pereira Journal: PLoS One Date: 2017-10-12 Impact factor: 3.240