2022
DOI: 10.1590/1980-0037.2022v24e83146
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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… Show more

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Cited by 3 publications
(2 citation statements)
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“…Concentrations of TG and HDL-C, as well as BMI and WC, are used to calculate the visceral adiposity index and should be an easy tool to assess the risk of metabolic disorders associated with insulin resistance (24). VAI has been shown in research to be a method for distinguishing patients with T2DM (16,(25)(26)(27). This research supports the previous studies, as well.…”
Section: Discussionsupporting
confidence: 85%
“…Concentrations of TG and HDL-C, as well as BMI and WC, are used to calculate the visceral adiposity index and should be an easy tool to assess the risk of metabolic disorders associated with insulin resistance (24). VAI has been shown in research to be a method for distinguishing patients with T2DM (16,(25)(26)(27). This research supports the previous studies, as well.…”
Section: Discussionsupporting
confidence: 85%
“…Higher VAI is also strongly associated with cardiovascular, and cerebrovascular disease (CCD), (OR ranging between 1.75-2.86), and Hypertension (OR = 2.28) (14), as observed in Chinese population. In Brazilian population, VAI was capable of predicting Computed Tomography (CT) determined Visceral Adipose Tissue (VAT) ranging between 19.9%-25.8% (p = 0.004) (15). BAI, that was rst coined in 2011, is a mathematical index composed of Hip Circumference (HC), and height, and was validated as a better direct predictor of %BF (16).…”
Section: Introductionmentioning
confidence: 99%