Abstract
This study aims to identify the influence of anthropometric variables on the patterns of clustering of metabolic and hemodynamic variables in the metabolic syndrome in adolescents, being an epidemiological, cross-sectional, analytical study conducted with 635 adolescents from public schools in the municipality of Montes Claros, state of Minas Gerais, Brazil. Methods: the metabolic, hemodynamic and anthropometric parameters were evaluated and the data analysis was processed using the Statistical Package for Social Sciences for Windows software. Results: three diferente models stratified by gender were adjusted that were estimated through Confirmatory Factor Analysis by the maximum likelihood method implemented in the IBM SPSS AMOS 23.0 software. Conclusion: The profile found could contribute to the consolidation of the SM construct, allowing early identification and favoring the creation of strategies to prevent this disease, avoiding adverse clinical outcomes.
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