Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to predict risk of metabolic syndrome in Peruvian adults
Open accessAbstract
Objective: We examined the ability of anthropometric measures to predict the risk of metabolic syndrome (MetS) and its components in Peruvian adults. Methods: Participants were 1,815 Peruvian adults. Body mass index (BMI), waist circumference (WC), A Body Shape Index (ABSI), Body Roundness Index (BRI) and Visceral Adiposity Index were examined. MetS components were defined using the National Cholesterol Education Program’s Adult Treatment Panel III. Logistic regression was used to calculate odds ratios of MetS and MetS components in relation to increases in anthropometric measures. Receiver operating characteristic curves (and area under the curve) were calculated to compare each measure’s power to predict MetS and MetS components. Results: BRI performed similar to or better than BMI and WC at predicting MetS and MetS components. ABSI underperformed other measures. In men, the odds of MetS and its components increased with unit increases in the anthropometric measures (e.g. a unit increase in BRI was associated with 2.43-fold increased odds of MetS; 95% confidence interval [CI]: 1.95–3.02). A similar association was found for women (odds ratio: 1.89; 95% CI: 1.68–2.12). Conclusion: Our study is the first to identify BRI as a potentially useful clinical predictor of MetS in Peruvian adults.
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Many studies have shown that BRI is associated with metabolic syndrome, is an independent risk factor, and has a high AUC value in predicting metabolic syndrome, even across different ethnic groups.
“Many studies have shown its association with MetS, being an independent risk factor with a high AUC value in predicting MetS, even across different ethnic groups [15, 16].”
From Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome (2025) · cites this paper as [15]
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- Authors
- Stefanescu, A., Revilla, L., Lopez, T., Sanchez, S. E., Williams, M. A., & Gelaye, B.
- Affiliations
- Harvard University (US)
- Universidad de San Martín de Porres (PE)
- Universidad San Martin de Porres, Lima, Peru
- Corresponding author
- Stefanescu, Andrei
- Venue
- Journal of International Medical Research
- Publisher
- SAGE Publications
- Published
- 2019-05-30
- Volume
- 48
- Issue
- 1
- Pages
- 300060519848854-300060519848854
- ISSN
- 0300-0605 (ISSN-L)
- 1473-2300
- PMC
- PMC7140225
- OpenAlex
- W2947025157
- Cited by
- 106
- References
- 18
- Citations by year
- 2026: 8 · 2025: 25 · 2024: 21 · 2023: 14 · 2022: 16 · 2021: 15 · 2020: 5 · 2019: 2
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of International Medical Research (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Universidad de San Martín de Porres – USMP
- Funders
- National Center on Minority Health and Health Disparities (T37-MD001449)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- metabolic syndrome, body shape index, body roundness index, anthropometric measures, visceral adiposity index, body mass index, waist circumference, risk prediction, Peruvian adults
- MeSH terms
- Adult, Anthropometry, Body Composition, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Obesity, Peru, Risk Factors, Body Mass Index, Metabolic Syndrome, Waist Circumference, Young Adult
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