ArticleFrontiers in nutrition2022
Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers.
Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk association and diagnostic value of body roundness index for cardiovascular-kidney-metabolic-related outcomes: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- The association between body roundness index and asthma risk in middle-aged and elderly people: a retrospective cohort study based on CHARLS database.BMC pulmonary medicine · 2026Article
- Risk factors of hypertension in South Africa: A systematic review and meta-analysis to inform the development of a clinical prediction model.Health SA = SA Gesondheid · 2026Article
- Article
- CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort.The journal of nutrition, health & aging · 2025Article
- The cutoff points of body roundness index for predicting metabolic syndrome in the Brazilian population among 18-59 years.Scientific reports · 2025Article
- The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for prediabetes: a multi-center retrospective cohort study.Frontiers in nutrition · 2025Article
- Predictive ability of anthropometric indices for risk of developing metabolic syndrome: a cross-sectional study.The Journal of international medical research · 2024Article
- Evaluating eight indicators for identifying metabolic syndrome in Chinese and American adolescents.Pediatric research · 2024Article
- Comparison of obesity indicators for predicting cardiovascular risk factors and multimorbidity among the Chinese population based on ROC analysis.Scientific reports · 2024Article
- Selected morphological, cardiovascular and neuromuscular risk profiles among asymptomatic sedentary men performing Islamic prayer.BMJ open sport & exercise medicine · 2024Article
- A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults.European journal of investigation in health, psychology and education · 2023Article
- Review
- The relationship between the CUN-BAE body fatness index and incident diabetes: a longitudinal retrospective study.Lipids in health and disease · 2023Article
- Sociodemographic and lifestyle factors and the risk of metabolic syndrome in taxi drivers: A focus on street food.Frontiers in nutrition · 2023Article
- Association between Macronutrient and Fatty Acid Consumption and Metabolic Syndrome: A South African Taxi Driver Survey.International journal of environmental research and public health · 2022Article
- Correlation of A Body Shape Index and Body Roundness Index as Novel Anthropometric Indices With Semen Analysis Parameters and IVF Outcomes.American journal of men's healthArticle
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4 authors.
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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 profile were measured. International Diabetes Federation (IDF) definition was used to define MetS. Receiver Operating Characteristic (ROC) curves were used to compare the predictive ability of Anthropometric indices to detect MetS. Results: The mean age of the participants was 39.84 years. Overall, 41.6% (N = 77) of the participants presented with MetS. The mean values for BMI, WC, WHtR, %BF, BRI, CUN-BAE, ABSI and CI were 28.60 ± 6.20 kg/m Conclusion: While the %BF, CUN-BAE, BMI, WC, WHtR, BRI, CI and CUN-BAE could predict MetS among South African male taxi drivers, these indices were less effective in predicting the individual MetS risk factors such as TG, BP, and FBG.
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