Body Composition

Novel anthropometric indices for predicting diabetes mellitus: A population-based study.

TL;DR

WHR performed as the best predictor of type 2 diabetes with an optimal cutoff of >0.95 for both sexes, while BMI and BAI were the least accurate with AUCs less than 60% for both sexes.

Key Findings

Fifteen percent of study participants had type 2 diabetes.

  • Total sample size was 10,663 participants
  • Participants were Iranian adults between 40 and 70 years from the Kharameh cohort study
  • Cross-sectional design using baseline data from the cohort
  • Diabetic group had significantly higher anthropometric indices than the non-diabetic group

WHR was the best-performing anthropometric index for predicting type 2 diabetes.

  • Optimal cutoff point was WHR >0.95 for both sexes
  • WHR outperformed all other indices including BMI, WHtR, ABSI, BRI, and BAI
  • ROC curves were used to determine sensitivity and specificity of each index
  • The finding underscores the role of body fat distribution, particularly central or abdominal obesity, in predicting diabetes risk

BMI and BAI were the least accurate anthropometric indices for predicting type 2 diabetes.

  • Both BMI and BAI had AUCs of less than 60% for both sexes
  • These two traditional and novel indices respectively showed poor discriminatory ability
  • Six indices total were evaluated: BMI, WHR, WHtR, ABSI, BRI, and BAI

All anthropometric indices were significantly associated with an increased risk of type 2 diabetes.

  • Statistical analysis was performed using independent t-tests and logistic regression
  • Associations were examined separately in men and women
  • Anthropometric indices were significantly higher in the diabetic group than in the non-diabetic group
  • Gender was examined as a modifier of the association between anthropometric indices and diabetes

Novel anthropometric indices did not consistently outperform traditional measures for diabetes prediction in this population.

  • Novel indices evaluated included ABSI, BRI, and BAI
  • Traditional indices evaluated included BMI and WHR
  • WHR, a traditional index, performed best overall
  • BAI, a novel index, performed among the worst with AUC <60% for both sexes
  • The study aimed to evaluate predictive power of novel indices compared with traditional ones

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Citation

Baberi F, Rezaeianzadeh S, Rezaianzadeh A, Hamedi A. (2026). Novel anthropometric indices for predicting diabetes mellitus: A population-based study.. Primary care diabetes. https://doi.org/10.1016/j.pcd.2025.10.006