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Visceral adiposity index is a better predictor of unhealthy metabolic phenotype than traditional adiposity measures: results from a population-based study

Author:
Ferreira, Fabrícia Geralda, Juvanhol, Leidjaira Lopes, da Silva, Danielle Cristina Guimarães, Longo, Giana Zarbato
Source:
Public health nutrition 2019 v.22 no.9 pp. 1545-1554
ISSN:
1475-2727
Subject:
adiposity, adults, body mass index, cross-sectional studies, interviews, laboratory experimentation, men, nutritional status, obesity, phenotype, regression analysis, waist circumference, waist-to-height ratio, waist-to-hip ratio, women, Brazil
Abstract:
The present study aimed to investigate whether the visceral adiposity index (VAI) is an effective predictor to identify unhealthy metabolic phenotype by comparing normal-weight and overweight individuals. A population-based cross-sectional study. Data were collected by interviews, anthropometric evaluation, dietetic, clinical and laboratory tests. The area under the receiver-operating characteristic curve (AUC) and prevalence ratio (PR), obtained from Poisson regression, were used to compare the predictive capacity of the obesity indicators evaluated (VAI, BMI, waist and neck circumference, waist-to-height and waist-to-hip ratios) and their association with the unhealthy metabolic phenotype. All analyses were stratified by sex and by nutritional status. Viçosa, Minas Gerais, Brazil. A total of 854 Brazilian adults (20–59 years old) of both sexes. VAI was the best predictor for unhealthy metabolic phenotype among men (AUC = 0·865) and women (AUC = 0·843) at normal weight. VAI also had the best predictive capacity among overweight women (AUC = 0·903). Among overweight men, its accuracy (AUC = 0·830) was higher than that of waist-to-hip ratio. In the adjusted regression models, VAI was the indicator most strongly associated with the unhealthy metabolic phenotype, especially among those with normal weight (PR = 6·74; 95 % CI 3·15, 14·42 for men; PR = 7·14; 95 % CI 3·79, 13·44 for women). VAI has better predictive capacity in detecting unhealthy metabolic phenotype than conventional anthropometric indicators, regardless of nutritional status and sex.
Agid:
6523739