ArticleCholesterol2013
Predictors of metabolic syndrome in the Iranian population: waist circumference, body mass index, or waist to hip ratio?
Article in Cholesterol, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.
- Optimal BMI cut-offs associated with cardiometabolic risks in Arab and Middle Eastern populations: a systematic review and meta-analysis.International journal of obesity (2005) · 2026Pooled it
- Comparative Performance of Body Mass Index and Simple Anthropometric Indices for Identifying Body Fat Percentage-Defined Obesity.Healthcare (Basel, Switzerland) · 2026Article
- A predictive model for metabolic syndrome in a community-based population with sleep apnea: a secondary prevention screening tool using simple and accessible indicators.Frontiers in nutrition · 2025Article
- Optimal waist circumference cut-off points for predicting metabolic syndrome among females of reproductive age in Wakiso district, central Uganda.PLOS global public health · 2025Article
- Metabolic syndrome prediction based on body composition indices.The Journal of the Egyptian Public Health Association · 2024Article
- Association between waist circumference and chronic pain: insights from observational study and two-sample Mendelian randomization.Frontiers in nutrition · 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
- Detection of high risk people for diabetes by American diabetes association risk score in PERSIAN Guilan cohort study.BMC endocrine disorders · 2023Article
- Urinary Sodium Excretion and Obesity Markers among Bangladeshi Adult Population: Pooled Data from Three Cohort Studies.Nutrients · 2022Article
- Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea.BMC public health · 2022Article
- Using the changes of several simple anthropometric indices to predict the occurrence of metabolic syndrome: Findings from medically under-resourced communities in rural China.Frontiers in endocrinology · 2022Article
- Performance of adiposity indicators in predicting metabolic syndrome in older adults.Archives of endocrinology and metabolism · 2021Article
- The Association between Anthropometry Indices and Serum Concentrations of Gamma-Glutamyl Transferase, Alkaline Phosphatase, Alanine Aminotransferase, and Aspartate Aminotransferase.BioMed research international · 2021Article
- Comparison of Various Obesity-Related Indices for Identification of Metabolic Syndrome: A Population-Based Study from Taiwan Biobank.Diagnostics (Basel, Switzerland) · 2020Article
- Combined extracts of Moringa oleifera, Murraya koeingii leaves, and Curcuma longa rhizome increases energy expenditure and controls obesity in high-fat diet-fed rats.Lipids in health and disease · 2020Article
- Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults.BMC endocrine disorders · 2020Article
- Screening for Metabolic Syndrome Using an Integrated Continuous Index Consisting of Waist Circumference and Triglyceride: A Preliminary Cross-sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Elevated serum levels of aminotransferases in relation to unhealthy foods intake: Tehran lipid and glucose study.BMC endocrine disorders · 2019Article
- Article
- Oxidized Low-Density Lipoprotein (Ox-LDL) and Triggering Receptor-Expressed Myeloid Cell (TREM-1) Levels Are Associated with Cardiometabolic Risk in Nonobese, Clinically Healthy, and Young Adults.Oxidative medicine and cellular longevity · 2019Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to investigate whether body mass index (BMI), waist circumference (WC), or waist to hip ratio (WHR) could be a better predictor of metabolic syndrome and, if so, what would be the cutoff points for these surrogates to appropriately differentiate metabolic syndrome in different age and sex subgroups. Methods. The present cross-sectional study was conducted on a sample of Isfahan Cohort Study (ICS). In total, 468 individuals (194 with and 274 subjects without metabolic syndrome) according to the National Cholesterol Education Program's Adult Treatment Panel III (ATP-III) criteria were selected. Anthropometric indices were measured and plotted using receiver-operating characteristic (ROC) curves. Results. According to ROC curve analysis, WC and WHR parameters were better indicators of metabolic syndrome compared to BMI in women, whereas in men WHR had a lower discriminating value compared to the other two parameters. Among these three anthropometric parameters, BMI had a lower sensitivity and WC and WHR both had a higher sensitivity for predicting metabolic syndrome in women compared with in men. The cut points for WC were nearly equal in men and women, 90.3 versus 90.0, respectively. Women had higher cut points for BMI (28.5 kg/m(2)) compared to men (26.0 kg/m(2)). Our results showed the highest sensitivity and specificity for WC cut points specially in women. To predict metabolic syndrome, we looked into optimal age-specific cut points for BMI, WC, and WHR. The results indicated that WC had the highest discriminating value compared to other indicators in the different age subgroups. The optimal cut points for all three parameters gradually increased with age. Conclusion. Our results demonstrated that regardless of gender and age variables, WC could be a preferred parameter for predicting metabolic syndrome compared to BMI and WHR in Iranian population.
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Registered trials
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