Volume 25, Issue 6 (1-2026)
ijdld 2026, 25(6): 572-592 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Astaneh M R, Doroudi S, Astaneh M E, Fereydouni N. Association of Anthropometric Indices with Type 2 Diabetes Prevalence: Evidence from the Rural Fasa Cohort. ijdld 2026; 25 (6) :572-592
URL: http://ijdld.tums.ac.ir/article-1-6460-en.html
URL: http://ijdld.tums.ac.ir/article-1-6460-en.html
1- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran
2- Department of Medical and Surgical Sciences for Children and Adults. University of Modena and Reggio Emilia, Via del Pozzo 71, 41124 Modena, Modena, Italia
3- Department of Anatomical Sciences, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
4- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran ,narges.fereydouni2020@gmail.com
2- Department of Medical and Surgical Sciences for Children and Adults. University of Modena and Reggio Emilia, Via del Pozzo 71, 41124 Modena, Modena, Italia
3- Department of Anatomical Sciences, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
4- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran ,
Abstract: (331 Views)
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.
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.
Keywords: Type 2 diabetes, Anthropometric indices, Central obesity, Visceral adiposity, Predictive performance, Roc curve analysis
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
