Fahimeh Ramezani Tehrani, Sonia Minooee, Masoumeh Simbar, Fereidoun Azizi,
Volume 14, Issue 2 (1-2015)
Abstract
Background: Considering the limited population-based studies and lack of a general consensus on the most sensitive and precise predictor of insulin resistance and metabolic syndrome in the women with polycystic ovary syndrome (PCOS), the present study was performed with the aim of comparing the validity of various available adiposity markers in these patients. Methods: In the national and population-based study of PCOS prevalence, 1772 girls and women, aged 18-45 years, were assessed for the diagnosis of PCOS based on Rotterdam criteria. Waist circumference, body mass index, waist to hip ratio, lipid accumulation product, visceral adiposity index (VAI) and homeostasis assessment model- insulin resistance (HOMA-IR) were calculated. The diagnosis of metabolic syndrome was based on Joint Interim Statement (JIS)criteria and HOMA-IR&ge 2.3 was considered as the resistance cutoff point. Results: In among different markers, VAI served as the best predictor of insulin resistance (sensitivity %60, positive predictive value %83) and metabolic syndrome (sensitivity %97, positive predictive value %95). ROC curve showed the cutoff points of 1.8 and 3.1 as the optimum values for insulin resistance and metabolic syndrome prediction, respectively. Conclusion: It seems that visceral adiposity index is a reliable marker for the screening of cardiometabolic disorders in the women with PCOS.
Mohammad Reza Astaneh, Sousan Doroudi, Mohammad Ebrahim Astaneh, Narges Fereydouni,
Volume 25, Issue 6 (1-2026)
Abstract
Background: Type 2 diabetes is rapidly increasing, particularly in the Middle East where central obesity is a major contributor to disease burden. Identifying high-risk individuals requires indices that assess visceral adiposity more effectively than body mass index (BMI). This study compared nine anthropometric indices in relation to diabetes and determined their predictive capacity and optimal cut-off values.
Methods: This cross-sectional analysis included 10,103 adults aged 35–70 years from the FASA cohort. Diabetes was defined as fasting glucose ≥126 mg/dL or antidiabetic medication use. Measurements included BMI, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), body adiposity index (BAI), a body shape index (ABSI), abdominal volume index (AVI), and weight-adjusted waist index (WWI). Associations were examined using logistic regression (crude and adjusted models). Discriminatory accuracy was assessed using receiver operating characteristic (ROC) curves, area under the curve (AUC), and Youden's index.
Results: Individuals with diabetes exhibited higher values across anthropometric indices (p< 0.05). In adjusted models, WC, WHR, WHtR, AVI, and WWI remained significant predictors (p< 0.05). WHR demonstrated the highest AUC (0.651, p< 0.001). Optimal cut-off values with high sensitivity and specificity included WHR= 0.91, WHtR= 0.53, and BRI= 4.1.
Conclusion: Central obesity indices—particularly WHR, WHtR, and BRI—demonstrated superior discriminatory capacity for diabetes and support the use of simple waist-based indices for early screening.
