The applicability of the Visceral Adiposity Index (VAI) for predicting visceral fat

Abstract As obesity has reached epidemic proportions and given the current recognition of central adiposity as an important cardiometabolic risk factor, several researchers have focused on developing and validating predictive indexes and equations to evaluate Visceral Adipose Tissue (VAT). This study evaluates the applicability of the Visceral Adiposity Index (VAI) for predicting cardiometabolic risk in individuals treated in a hospital In the northeast region of Brazil. The VAT was evaluated by computed tomography (CT) and the VAI was calculated through specific equations for each gender. The sample involved adult and elderly patients of both genders followed up in a cardiology outpatient clinic. The following cardiometabolic parameters were collected: fasting glycemia, glycated hemoglobin, lipid profile, C-reactive protein (CRP) and uric acid. The simple linear regression was used to evaluate the explanatory power of the VAI in relation to the volume of VAT determined by CT. The predictive capacity of VAI in relation to the volume of VAT determined by CT was 25.8% (p=0.004) for males and 19.9% (p<0.001) for females. VAI correlated strongly with the triglyceride (TG) (p<0.001) and TG/high-density lipoprotein (HDL) ratio (p<0.001) and inversely correlated with HDL (p<0.001). Moreover, VAI showed low correlation with the following variables: abdominal circumference, total cholesterol, low density lipoprotein, fasting glycemia, and glycated hemoglobin (p<0.05). VAI was associated with variables considered as cardiometabolic risk factors, but exhibited a low predictive capacity regarding the volume of VAT determined by CT. Thus, caution is recommended in its use in Brazilian individuals.

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Bibliographic Details
Main Authors: Silva,Nadja Fernandes da, Pinho,Cláudia Porto Sabino, Diniz,Alcides da Silva, Arruda,Ilma Kruze Grande de, Leão,Ana Paula Dornelas, Rodrigues,Isa Galvão
Format: Digital revista
Language:English
Published: Universidade Federal de Santa Catarina 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-00372022000100304
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