Cut-Off Points of Visceral Adipose Tissue Associated with Metabolic Syndrome in Military Men

Visceral adipose tissue (VAT) has high metabolic activity and secretes a larger number of adipokines that are related to the inflammatory process. Quantifying VAT could estimate the risk of developing Metabolic Syndrome (MetS). This study was designed to determine the VAT cut-off points assessed by...

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Bibliographic Details
Main Authors: Samir Ezequiel da Rosa, Amina Chain Costa, Marcos S. R. Fortes, Runer Augusto Marson, Eduardo Borba Neves, Laercio Camilo Rodrigues, Paula Fernandez Ferreira, Jose Fernandes Filho
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Healthcare
Subjects:
DXA
Online Access:https://www.mdpi.com/2227-9032/9/7/886
Description
Summary:Visceral adipose tissue (VAT) has high metabolic activity and secretes a larger number of adipokines that are related to the inflammatory process. Quantifying VAT could estimate the risk of developing Metabolic Syndrome (MetS). This study was designed to determine the VAT cut-off points assessed by DXA associated with MetS in military men. In total, 270 (37.5 ± 6.9 years) military men from the Brazilian Army (BA) participated in the study. Anthropometric measurements, assessment of body composition by dual X-ray absorptiometry (DXA), hemodynamics and biochemical tests were performed. The Student’s <i>t</i> test, independent samples, Person’s correlation, ROC curve, Youden Index and positive (PPV) and negative predictive value (NPV) were used. The MetS prevalence was 27.4%, which means that 74 (38.0 ± 7.3 years) military men had at least three risk factors of MetS present. The cutoff point of VAT with the highest balance between sensitivity (77.0%) and specificity (69.9%) was 1025.0 cm<sup>3</sup> (1086.0 g). An area on the ROC curve was 0.801 (<i>p</i> < 0.000), which was very good precision. VAT ≥ 1025.0 cm<sup>3</sup> (1086.0 g) is associated with the risk factors of MetS and is, therefore, a predictor of the disease with good indicators of sensitivity and specificity and a robust indicator of MetS.
ISSN:2227-9032