ArticleJournal of health, population, and nutrition2024
The predictive power of conventional and novel obesity indices in identifying metabolic syndrome among the southern Iranian populations: findings from PERSIAN cohort study.
Article in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Longitudinal association between sarcopenia and comorbidity of mild cognitive impairment and depression among older adults in China: the moderating effect of non-obesity.BMC geriatrics · 2026Article
- Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study.Endocrinology, diabetes & metabolism · 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
- Body roundness index outperforms traditional obesity metrics in predicting cardiometabolic risk among children and adolescents: the EMSNGS study.Frontiers in nutrition · 2026Article
- Beyond HOMA-IR: Comparative Evaluation of Insulin Resistance and Anthropometric Indices Across Prediabetes and Type 2 Diabetes Mellitus in Metabolic Syndrome Patients.Life (Basel, Switzerland) · 2025Article
- Does a modified metabolic syndrome definition improve prediction of cardiovascular events and mortality? findings from a 17-year cohort study.Journal of health, population, and nutrition · 2025Article
- Correlation Between Body-Shape Index, Body-Roundness Index, Body-Mass Index, and Apnea-Hypopnea Index in Patients with Obstructive Sleep Apnea Syndrome.Journal of multidisciplinary healthcare · 2025Article
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10 authors.
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Abstract
backgroundMetabolic syndrome (MetS) contributes to an increased risk of cardiovascular diseases. Traditional metrics like body mass index (BMI) have limitations in discerning fat distribution. The purpose of this study was to evaluate the diagnostic accuracy of traditional and novel anthropometric indices in metabolic syndrome and its components in the south coast of Iran.
methodsIn this cross-sectional study, 2694 adults aged 35 to 70 were included. Comprehensive anthropometric and biochemical data were collected and analyzed. There were eight anthropometric indices evaluated in this study, including a body shape index (ABSI), body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), body roundness index (BRI), abdominal volume index (AVI), weight-adjusted waist index (WWI) and waist-height ratio (WHtR).
resultsWHtR (AUC: 0.766 for males, 0.799 for females), BRI (AUC: 0.766 for males, 0.799 for females), and AVI (AUC: 0.769 for males, 0.793 for females) were the best predictors of MetS. ABSI had the weakest correlation with metabolic variables.
conclusionsAVI, WHtR, BRI, and WHR were superior to other measures as anthropometric indexes for determining MetS and its components. The study contributes valuable insights into the utility of traditional and novel metrics in clinical practice, highlighting the need for standardized diagnostic approaches and further research in diverse populations.
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