Evidence map›Paper›PMID 41800075›Full record

ArticleTherapeutic advances in endocrinology and metabolism2026

Obesity indices as predictors of metabolic syndrome: 1-year findings from a Peruvian cohort of private educational institution workers.

Vicente A Benites-Zapata, Daniel Fernandez-Guzman, Percy Herrera-Añazco, Enrique Moncada-Mapelli, Diego Urrunaga-Pastor, Carlos J Toro-Huamanchumo

Abstract read
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Article in Therapeutic advances in endocrinology and metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Vicente A Benites-ZapataUnidad de Investigación para la Generación de Evidencias en Salud, Universidad San Ignacio de Loyola, Av. la Fontana 750, La Molina, Lima 15024, Peru.ORCID https://orcid.org/0000-0002-9158-1108
Daniel Fernandez-GuzmanCarrera de Medicina Humana, Universidad Científica del Sur, Lima, Peru.ORCID https://orcid.org/0000-0002-9441-1067
Percy Herrera-AñazcoCarrera de Medicina Humana, Universidad Científica del Sur, Lima, Peru.ORCID https://orcid.org/0000-0003-0282-6634
Enrique Moncada-MapelliCarrera de Medicina Humana, Universidad Científica del Sur, Lima, Peru.ORCID https://orcid.org/0000-0002-2297-0695
Diego Urrunaga-PastorSchool of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru.ORCID https://orcid.org/0000-0002-8339-162X
Carlos J Toro-HuamanchumoUnidad de Investigación para la Generación de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.ORCID https://orcid.org/0000-0002-4664-2856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a common condition marked by abdominal obesity, insulin resistance, hypertension, and hyperlipidemia. It has significant health and economic impacts, highlighting the need for early predictive markers. Objective: To compare the prognostic performance of various obesity indices in the 1-year incidence of MetS among adult employees of a private educational institution. Design: Cohort study. Methods: A prospective cohort study was conducted using data from adults employed at a private educational institution in Lima, Peru. Participants were enrolled in 2019 and followed for 1 year to monitor anthropometric and biochemical parameters. The outcome was the development of MetS at the end of follow-up, defined according to the criteria of the Latin American Diabetes Association. Receiver operating characteristic curves were plotted, and the area under the curve (AUC) with 95% confidence intervals (CI) was calculated to assess the predictive utility of each index for MetS after 1 year. Results: Of the 792 adults initially enrolled, 475 were included in the final analysis after exclusions and loss to follow-up. Their average age was 38.4 years, and 54.3% were women. The overall incidence of MetS was 7.4%, with 12% for males and 4% for females. The highest AUC values for predicting MetS were observed for the body mass index (AUC: 0.88; 95% CI: 0.84-0.92), waist-to-height ratio (WHtR; AUC: 0.89; 95% CI: 0.85-0.92), abdominal volume index (AVI; AUC: 0.89; 95% CI: 0.86-0.92), and body roundness index (BRI; AUC: 0.89; 95% CI: 0.85-0.92). In sex-stratified analyses, results were consistent for males. Among females, the body adiposity index also showed good discrimination (AUC: 0.91; 95% CI: 0.83-1.00). The wide 95% CI reflects the small number of incident MetS cases among women ( Conclusion: In conclusion, the incidence of MetS after 1 year of follow-up was 7.4%, with a higher rate among males. The WHtR, BRI, and AVI were the most useful anthropometric indices for predicting MetS.

Indexed as

anthropometric indicesmetabolic syndromePerupredictive performanceprognosticROC analysis

Identifiers

PMID41800075
PMCPMC12966564

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.