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dc.contributor.authorSekgala, Machoene Derrick
dc.contributor.authorOpperman, Maretha
dc.contributor.authorMpahleni, Buhle
dc.date.accessioned2022-09-06T09:21:06Z
dc.date.available2022-09-06T09:21:06Z
dc.date.issued2022
dc.identifier.citationSekgala, M. D. et al. (2022). Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers. Frontiers in Nutrition, 9, 974749. https://doi.org/10.3389/fnut.2022.974749en_US
dc.identifier.issn2296-861X
dc.identifier.urihttps://doi.org/10.3389/fnut.2022.974749
dc.identifier.urihttp://hdl.handle.net/10566/7811
dc.description.abstractDetecting 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.en_US
dc.language.isoenen_US
dc.publisherFrontiers Mediaen_US
dc.subjectMetabolic syndromeen_US
dc.subjectAnthropometric indicesen_US
dc.subjectPublic healthen_US
dc.subjectBody mass index (BMI)en_US
dc.subjectSouth Africaen_US
dc.subjectTaxi driversen_US
dc.titleAnthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi driversen_US
dc.typeArticleen_US


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