Waist circumference measurement sites and their association with visceral and subcutaneous fat and cardiometabolic abnormalities

ABSTRACT Objectives: To estimate the degree of variability of the waist circumference (WC) when obtained in different anatomical sites and compare the performance of the measurement sites as predictors of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) and cardiometabolic abnormalities. Subjects and methods: Cross-sectional study involving 119 individuals with overweight (50.3 ± 12.2 years), in which six WC measurement sites were evaluated (minimal waist, immediately below the lowest rib, midpoint between the lowest rib and the iliac crest, 2 cm above the umbilicus, immediately above the iliac crest, umbilicus level), in addition to the VAT and SAT (quantified by computed tomography) and cardiometabolic parameters. Results: The differences between the measurements ranged from 0.2 ± 2.7 cm to 6.9 ± 6.7 cm for men, and from 0.1 ± 3.7 cm to 10.1 ± 4.3 cm for women. The minimum waist showed significant correlation with VAT (r = 0.70) and with a higher number of cardiometabolic parameters among men. Regarding women, the WC measurement showed high correlation with SAT and moderate correlation with VAT, not being found superiority of one measurement protocol in relation to the others when assessed the correlation with VAT and with cardiometabolic parameters. Conclusions: Greater variability between the measuring sites was observed among women. With respect to men, the minimum waist performed better as a predictor of VAT and cardiometabolic alterations

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

<div><p>Background</p><p>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.</p><p>Objective</p><p>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.</p><p>Methods</p><p>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).</p><p>Results</p><p>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).</p><p>Conclusions</p><p>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.</p></div

Simple linear regression between adipose visceral tissue (AVT) volume determined by the predictive equation and AVT volume obtained using computed tomography (CT) in adult overweight women (p<0.001).

<p>Simple linear regression between adipose visceral tissue (AVT) volume determined by the predictive equation and AVT volume obtained using computed tomography (CT) in adult overweight women (p<0.001).</p

Multiple linear regression coefficients of predicative equations (eq.) for estimating adipose visceral tissue (AVT) in overweight individuals.

<p>Multiple linear regression coefficients of predicative equations (eq.) for estimating adipose visceral tissue (AVT) in overweight individuals.</p

Comparability of the characteristics of the patients included in the study in accordance with sex.

<p>Comparability of the characteristics of the patients included in the study in accordance with sex.</p

Distribution of anthropometric parameters (Mean/Standard Deviation) in accordance with sex.

<p>Distribution of anthropometric parameters (Mean/Standard Deviation) in accordance with sex.</p