Evidence map›Paper›PMID 42430409›Full record

ArticlePloS one2026

Identification of a HOMA-IR cut-off point for cardiometabolic risk and modifiable risk factors in peruvian adolescents.

Katherine Curi-Quinto, Fabian Vasquez, Melissa Abad, Fabiola Lazarte, Mary Penny, Juana Del Valle-Mendoza

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Article in PloS one, 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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2 · The registry

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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.

Katherine Curi-QuintoResearch Center of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.ORCID https://orcid.org/0000-0002-2233-8251
Fabian VasquezFinis Terrae University, Faculty of Medicine, School of Nutrition and Dietetic, Santiago, Chile.
Melissa AbadNutritional Research Institute, Lima, Peru.
Fabiola LazarteNutritional Research Institute, Lima, Peru.
Mary PennyNutritional Research Institute, Lima, Peru.
Juana Del Valle-MendozaResearch Center of the Faculty of Health Sciences, Universidad Peruana de Ciencias Aplicadas, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough HOMA-IR is widely used to assess insulin resistance, reported cut-off values vary substantially across population, particularly during adolescence. The aim of this study was to determine the distribution of HOMA-IR values. identify a HOMA-IR cut-off associated with metabolic syndrome (MS), and assess modifiable risk factors of IR in a longitudinal cohort of Peruvian adolescents.

methodsWe performed a secondary data analysis from a longitudinal adolescent's study. A sample of 371 adolescents (14.5 ± 0.1 years old) from low- medium socioeconomic status. ROC curve analysis was used to identify the specific cut-off point to classify IR using the sensitivity and specificity values in comparison with the MS. Multiple logistic regression analysis including diet, physical activity and body composition from adolescence, excess weight during infancy and family history of non-chronic disease was included to identify risk factors (FHCD) associated with IR.

resultsThe HOMA-IR was 3.29 (SD 1.71) with no differences by sex. We identified 3.9 for HOMA-IR as the cut-off point with sensitivity (72.4%) and specificity (75.4%) for predicting MS. IR was present in 28.6% (95% CI 24.2;33.4%); 84% had at least one cardiometabolic risk factor and low HDL and abdominal obesity were the most prevalent (62 and 35%, respectively). Adolescents with higher fat mass index (OR 16.03, 95% CI 6.79 to 37.86), and those physically inactive (OR 2.08 95% CI 1.06 to 4.07) were more likely to have IR. No association was found with diet, excess weight at infancy and FHCD.

conclusionsA cut-offs point of 3.9 for HOMA-IR allows to identify adolescents with high metabolic risk. Strategies to promote lower FMI and improve the physical activity levels could reduce the risk of IR in adolescents.

Indexed as

Cardiometabolic Risk FactorsInsulin ResistanceMetabolic SyndromeAdolescentFemaleHumansLongitudinal StudiesMalePeruRisk FactorsROC Curve

Identifiers

PMID42430409
PMCPMC13354073

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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 Socratic graph.