Predictive ability of anthropometric indices for risk of developing metabolic syndrome: a cross-sectional study.

ABSTRACT:

Objective

To determine the discriminatory ability of different anthropometric indicators of body fat percentage for diagnosing metabolic syndrome (MetS) in a Peruvian sample.

Methods

This was a cross-sectional, non-experimental, diagnostic accuracy study. Anthropometric and biochemical data for 948 participants were analyzed. Waist circumference (WC), body mass index, relative fat mass (RFM), conicity index, body roundness index (BRI), waist-to-height ratio (WHtR), and A Body Shape Index were assessed for their MetS discriminatory ability. The National Cholesterol Education Program's Adult Treatment Panel III criteria were used to diagnose MetS. Receiver operating characteristic curves and area under the curve (AUC) were used to determine the predictive power of each anthrop

SUBMITTER: Chaquila JA 

PROVIDER: S-EPMC11585023 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature