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| Autores principales: | , , , , , , , , , |
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| Formato: | Artículo Open Access |
| Publicado: |
Wiley
2025
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| Materias: | |
| Acceso en línea: | https://onlinelibrary.wiley.com/doi/10.1002/oby.70089 |
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- Predicting BMI Percentile in Hispanic/Latino Youth Using a Machine Learning Approach: Findings From the Study of Latino Youth Madison N. LeCroy Ryung S. Kim David B. Hanna Krista M. Perreira Linda C. Gallo Maria M. Llabre Linda Van Horn Gregory A. Talavera Martha L. Daviglus Carmen R. Isasi Obesity ABSTRACT Objective The objective of this study is to use a machine learning approach to identify predictors of BMI percentile among Hispanic/Latino youth in the United States. Methods Participants were Hispanic/Latino 8– to 16‐year‐olds from the cross‐sectional Study of Latino Youth (SOL Youth; n = 1466). A supervised machine learning approach, LASSO regression, was used with BMI percentile as the outcome. A total of 102 predictor variables were examined spanning parent and child demographics; health behaviors; and psychological, sociocultural, and environmental measures. Results Mean age of participants was 12 years, 50% were female, and 44.2% were of Mexican heritage. A 36‐variable LASSO model yielded the optimum mean squared error ( R 2 = 0.42), but a 10‐variable solution was selected for parsimony. Six associations were significant. Dieting 1–4 or ≥ 5 times/year ( β = 8.69 [95% CI: 10.25 to 14.52] or 10.86 [95% CI: 13.14 to 18.33], respectively) and having a parent of Dominican heritage ( β = 3.48 [95% CI: 4.05 to 9.90]) or with obesity ( β = 2.96 [95% CI: 2.99 to 6.85]) were associated with a higher BMI percentile. Perception of being smaller than the “ideal” body size ( β = −1.65 [95% CI: −6.84 to −1.35]) and use of the food/activity parenting practice Control ( β = −1.17 [95% CI: −3.63 to −1.69]) were associated with a lower BMI percentile. Conclusions Family‐based approaches and focusing on dieting and body image satisfaction may be important for weight management in Hispanic/Latino youth. 10.1002/oby.70089 http://onlinelibrary.wiley.com/termsAndConditions#vor