ArticleIranian journal of public health2022
Body Composition Assessment by Bioelectrical Impedance Analysis in Prediction of Cardio-Metabolic Risk Factors: Tehran Lipid and Glucose Study (TLGS).
Article in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Longitudinal Changes in Body Composition, Adaptive Thermogenesis, and Muscle Strength in Patients with Obesity Treated with Semaglutide.Obesity facts · 2026Article
- Research on Obesity: A Quarter-Century Experience from the Tehran Lipid and Glucose Study.International journal of endocrinology and metabolism · 2026Review
- Optimizing Public Health Screening: Population-Specific BMI Thresholds for Targeted Body Composition Assessment in Hungary.Nutrients · 2026Article
- Inverse associations between the dietary diabetes risk reduction score and dietary phytochemical index with metabolic syndrome and its components: a cross-sectional analysis of the Fasa adult cohort study in rural Iran.BMC endocrine disorders · 2026Article
- Nonlinear association between body fat percent and type 2 diabetes risk in Japanese adults: a retrospective cohort study.Frontiers in endocrinology · 2026Article
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Authors and funding
7 authors.
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Abstract
Background: We aimed at evaluating the best body mass index (BMI) and percent body fat (PBF) cutoffs related to cardio-metabolic risk factors and comparing the discriminative power of PBF and BMI for predicting these risk factors. Methods: In this cross-sectional study in phase V (2012-2015), 1271 participants (age ≥ 20 yr; 54.3% women) were enrolled. Bioelectrical impedance analysis (BIA) was used to estimate PBF. Joint Interim Statement criteria were used for defining metabolic syndrome (MetS). We compared PBF with BMI through logistic regression and area under the curve of the receiver operating characteristic (ROC) curve. Percent body fat cutoff points were > 25 in men and >35 in women. Results: Percent body fat and BMI cutoff points for predicting MetS were 25.6% and 27.2 kg/m Conclusion: Comparison of PBF with BMI showed that the use of PBF is not significantly better than BMI in predicting cardio-metabolic risks in the general population.
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