ArticleBMC public health2018
Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study.
Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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
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- The Association Between Anthropometric Indices and Type 2 Diabetes Mellitus Among Adults: A Cross-Sectional Analysis From the Population-Based Bandare Kong Cohort Study.Health science reports · 2026Article
- TyG-WHtR predicts incident type 2 diabetes mellitus in NAFLD: a 12-year prospective cohort study.Frontiers in endocrinology · 2026Article
- Predictive effect of the triglyceride glucose index on abnormal blood glucose metabolism events in populations with sarcopenia: a cross-sectional study.BMC endocrine disorders · 2025Article
- Anthropometric Indices and Diabetes Disease: Based on the Rafsanjan Cohort Study.International journal of preventive medicine · 2025Article
- Assessing and predicting type 2 diabetes risk with triglyceride glucose-body mass index in the Chinese nondiabetic population-Data from long-term follow-up of Da Qing IGT and Diabetes Study.Journal of diabetes · 2024Article
- J-shaped association of the triglyceride glucose-body mass index with new-onset diabetes.Scientific reports · 2024Article
- Novel anthropometric indices for predicting type 2 diabetes mellitus.BMC public health · 2024Article
- Accuracy of obesity indices alone or in combination for prediction of diabetes: A novel risk score by linear combination of general and abdominal measures of obesity.Caspian journal of internal medicine · 2022Article
- Predictive Effect of Triglyceride Glucose-Related Parameters, Obesity Indices, and Lipid Ratios for Diabetes in a Chinese Population: A Prospective Cohort Study.Frontiers in endocrinology · 2022Article
- Beyond Asian-Specific Cutoffs: Gender Effects on the Predictability of Body Mass Index, Waist Circumference, and Waist Circumference to Height Ratio on Hemoglobin A1c.Journal of racial and ethnic health disparities · 2021Article
- Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study.Journal of nutrition and metabolism · 2020Article
- Evaluation of Several Anthropometric and Metabolic Indices as Correlates of Hyperglycemia in Overweight/Obese Adults.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundTo determine the anthropometric indices that would predict type 2 diabetes (T2D) and delineate their optimal cut-points.
methodsIn a cohort study, 7017 Iranian adults, aged 20-60 years, free of T2D at baseline were investigated. Using Cox proportional hazard models, hazard ratios (HRs) for incident T2D per 1 SD change in body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), waist to hip ratio (WHR), and hip circumference (HC) were calculated. The area under the receiver operating characteristics (ROC) curves (AUC) was calculated to compare the discriminative power of anthropometric variables for incident T2D. Cut-points of each index were estimated by the maximum value of Youden's index and fixing the sensitivity at 75%. Using the derived cut-points, joint effects of BMI and other obesity indices on T2D hazard were assessed.
resultsDuring a median follow-up of 12 years, 354 men, and 490 women developed T2D. In both sexes, 1 SD increase in anthropometric variables showed significant association with incident T2D, except for HC in multivariate adjusted model in men. In both sexes, WHtR had the highest discriminatory power while HC had the lowest. The derived cut-points for BMI, WC, WHtR, WHR, and HC were 25.56 kg/m
conclusionsOur derived cut-points differ between both sexes and are different from other ethnicities.
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