Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers
Date
2022Author
Sekgala, Machoene Derrick
Opperman, Maretha
Mpahleni, Buhle
Metadata
Show full item recordAbstract
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. 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-o points to identify male South African taxi drivers with MetS.