MODELOS PREDICTIVOS DE OBESIDAD EN JÓVENES, IMPLICACIONES EN SALUD PÚBLICA

Carlos Eduardo Sarmiento Herrera; David Leonardo  Rodriguez Sarmiento; Mauricio Javier  Prada Rozo; Néstor Javier  Murcia Izquierdo; Mercedes  Mendoza Hinestroza

doi:10.22490/ECISA.10052

Vol. 8 No. 8 (2026): Vol. 8 Núm. 8 (2026).

Published 2025-11-10

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Artículos

MODELOS PREDICTIVOS DE OBESIDAD EN JÓVENES, I

DOI: https://doi.org/10.22490/ECISA.10052

Carlos Eduardo Sarmiento Herrera Universidad Manuela Beltrán

David Leonardo Rodriguez Sarmiento Universidad Manuela Beltrán

Mauricio Javier Prada Rozo Universidad Manuela Beltrán

Néstor Javier Murcia Izquierdo Universidad Manuela Beltrán

Mercedes Mendoza Hinestroza Universidad Manuela Beltrán

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Abstract
References

Obesity, a chronic health condition, has been established as one of the most significant public health problems worldwide. Its impact is extensive, as it not only deteriorates the quality of life of those affected but also leads to a substantial increase in the costs faced by healthcare systems. Currently, the child and adolescent population is considered one of the most vulnerable groups, since obesity can develop at an early age and cause metabolic, cardiovascular, and psychosocial problems throughout the life cycle.

In order to develop effective strategies addressing both prevention and early intervention, this challenge requires comprehensive and sustained responses from the health sciences and related disciplines. Recent research indicates that, to address childhood obesity, it is essential to understand in depth its determinants, which include socioeconomic, environmental, behavioral, and genetic factors.

This document presents an updated state of the art on obesity in individuals under 18 years of age, highlighting the advances made in the past five years in the development of predictive models. These models have enabled the identification of determinant factors associated with obesity risk, such as eating habits, physical activity, anthropometric measurements, and family and school environments.

The early detection of these predictors is essential for guiding evidence-based interventions that contribute to improving the well-being of future generations. At the same time, these strategies aim to have a positive impact on reducing the costs that this condition imposes on public health.

keywords: Obesidad infantil, Obesidad juvenil, modelo predictivo, revisión sistemática, contexto educativo, tecnología en salud

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How to Cite

Sarmiento Herrera, C. E., Rodriguez Sarmiento, D. L. ., Prada Rozo, M. J. ., Murcia Izquierdo, N. J. ., & Mendoza Hinestroza, M. . (2025). MODELOS PREDICTIVOS DE OBESIDAD EN JÓVENES, I. Documentos De Trabajo ECISA, 8(8). https://doi.org/10.22490/ECISA.10052

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