Predictive models for estimating visceral fat: The contribution from anthropometric parameters.

Autor: Pinho CPS; Pronto Socorro Universitário Cardiológico de Pernambuco-PROCAPE/UPE, Recife-PE, Brazil.; Universidade Federal de Pernambuco-UFPE, Recife-PE, Brazil., Diniz ADS; Universidade Federal de Pernambuco-UFPE, Recife-PE, Brazil., de Arruda IKG; Universidade Federal de Pernambuco-UFPE, Recife-PE, Brazil., Leite APDL; Pronto Socorro Universitário Cardiológico de Pernambuco-PROCAPE/UPE, Recife-PE, Brazil., Petribú MMV; Universidade Federal de Pernambuco-UFPE, Recife-PE, Brazil., Rodrigues IG; Pronto Socorro Universitário Cardiológico de Pernambuco-PROCAPE/UPE, Recife-PE, Brazil.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2017 Jul 24; Vol. 12 (7), pp. e0178958. Date of Electronic Publication: 2017 Jul 24 (Print Publication: 2017).
DOI: 10.1371/journal.pone.0178958
Abstrakt: Background: Excessive adipose visceral tissue (AVT) represents an independent risk factor for cardiometabolic alterations. The search continues for a highly valid marker for estimating visceral adiposity that is a simple and low cost tool able to screen individuals who are highly at risk of being viscerally obese. The aim of this study was to develop a predictive model for estimating AVT volume using anthropometric parameters.
Objective: Excessive adipose visceral tissue (AVT) represents an independent risk factor for cardiometabolic alterations. The search continues for a highly valid marker for estimating visceral adiposity that is a simple and low cost tool able to screen individuals who are highly at risk of being viscerally obese. The aim of this study was to develop a predictive model for estimating AVT volume using anthropometric parameters.
Methods: A cross-sectional study involving overweight individuals whose AVT was evaluated (using computed tomography-CT), along with the following anthropometric parameters: body mass index (BMI), abdominal circumference (AC), waist-to-hip ratio (WHpR), waist-to-height ratio (WHtR), sagittal diameter (SD), conicity index (CI), neck circumference (NC), neck-to-thigh ratio (NTR), waist-to-thigh ratio (WTR), and body adiposity index (BAI).
Results: 109 individuals with an average age of 50.3±12.2 were evaluated. The predictive equation developed to estimate AVT in men was AVT = -1647.75 +2.43(AC) +594.74(WHpR) +883.40(CI) (R2 adjusted: 64.1%). For women, the model chosen was: AVT = -634.73 +1.49(Age) +8.34(SD) + 291.51(CI) + 6.92(NC) (R2 adjusted: 40.4%). The predictive ability of the equations developed in relation to AVT volume determined by CT was 66.9% and 46.2% for males and females, respectively (p<0.001).
Conclusions: A quick and precise AVT estimate, especially for men, can be obtained using only AC, WHpR, and CI for men, and age, SD, CI, and NC for women. These equations can be used as a clinical and epidemiological tool for overweight individuals.
Databáze: MEDLINE
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