ArticleJournal of diabetes investigation2025
Predictive performance of traditional and novel anthropometric indices for diabetes and hypertension.
Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Association between Body Roundness Index and Functional Impairment in Older Adults: Exploring the Potential Mediating Role of Systemic Inflammation Response Index.Current developments in nutrition · 2026Article
- Age and sex adjusted adiposity estimators predict all cause and pneumonia related mortality in hospitalized older patients with severe dysphagia receiving artificial nutrition.Frontiers in nutrition · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundThe link between obesity and metabolic dysfunction is well-established. However, the choice of an anthropometric index best reflective of risk remains debatable. This study aimed to evaluate the predictive performance of several indices for diabetes and hypertension in a population at risk for cardiovascular disease. MATERIALS AND
methodsData from 1,537 participants was analyzed. The predictive value of 19 indices for diabetes and hypertension was evaluated via area under the receiver operating characteristic curve (AUC) analysis. Analyses were adjusted for major risk factors to evaluate the independent utility of each index. Modified versions of the American Diabetes Association (ADA) diabetes risk assessment tool were examined, where body mass index (BMI) was substituted for indices demonstrating strong or independent predictive values.
resultsThe Deurenberg formula was the best predictor of diabetes in both male (AUC = 0.67; 95% CI 0.62-0.73) and female (AUC = 0.77; 95% CI 0.73-0.82) participants, and significantly better than BMI. Body roundness index (BRI; aAUC = 0.63; 95% CI 0.56-0.70), waist-to-height ratio (WHtR; aAUC = 0.63; 95% CI 0.57-0.70), and waist-to-height
conclusionsSeveral indices showed promising performances for use in diabetes screening. Future research should focus on incorporating these indices in screening tools.
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