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Dataset Information

Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers.


ABSTRACT:

Background

Detecting the early onset of metabolic syndrome (MetS) allows for quick intervention which may slow progression to a variety of health consequences, hence, determining the best measurement to detect MetS is essential.

Aim

This research aimed at examining the MetS predictive power of anthropometric indices, such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body shape index (ABSI), body roundness index (BRI), percentage body fat (%BF), conicity index (CI), and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE) to determine the cut-off points to identify male South African taxi drivers with MetS.

Method

A cross-sectional study was conducted among 185 male taxi drivers. Their weight, height, WC, blood lipid pr

SUBMITTER: Sekgala MD 

PROVIDER: S-EPMC9406286 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature