1. Cut-off points of adiposity indices associated with insulin resistance in Brazilian postpubertal adolescents.
- Author
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Sena BDS, de Andrade MIS, Oliveira JS, Leal VS, de Lira PIC, and de Arruda IKG
- Subjects
- Humans, Male, Female, Brazil epidemiology, Adolescent, Cross-Sectional Studies, Reference Values, Overweight, Lipid Accumulation Product, Child, Prevalence, ROC Curve, Insulin Resistance, Adiposity, Body Mass Index
- Abstract
Objectives: This study aims to establish cut-off points for lipid accumulation product and tri-ponderal mass index to identify insulin resistance (IR) in Brazilian postpubertal adolescents., Methods: We conducted an analysis of postpubertal adolescents enrolled in the national school-based cross-sectional study of cardiovascular risks in adolescents (ERICA-BRAZIL) from February 2013 to November 2014. IR was defined by homeostatic model assessment index for IR values ≥2.32 for girls and ≥2.87 for boys. The analysis involved calculating the area under receiver operating characteristic curves, sensitivity values, specificity, positive and negative predictive values, and positive and negative likelihood ratios to determine reference values of indices with optimal performance., Results: The sample was comprised of 14 026 adolescents, with 25.3% (95% confidence intervals: 24.6%-26.1%) exhibiting IR, more prevalent among girls and overweight individuals. The ideal lipid accumulation product cut-off points associated with IR were 13.5 for the total population, 13.8 for male adolescents, and 13.5 for girls. Regarding tri-ponderal mass index, the optimal cut-off values for identifying IR were 14.1, 13.9, and 14.5 kg/m³ in the general sample, boys, and girls, respectively., Conclusions: This study establishes cut-off points for adiposity indices, demonstrating their effectiveness in screening for IR in postpubertal Brazilian adolescents., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article., (Copyright © 2024 Elsevier Inc. All rights reserved.)
- Published
- 2024
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