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Novel ranking of protective and risk factors for adolescent adiposity in US females

DOI: 10.1002/osp4.323

Keywords: Adiposity, Machine learning, Obesity, Predictive analytics

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Abstract:

Rank the importance of potentially modifiable psychosocial, dietary and environmental risk and protective factors for female adolescent obesity in order to target and inform public health prevention efforts. Utilizing the largest dataset available that captures the onset of the adolescent obesity surge in the USA, the study provides a more robust understanding of paediatric obesity risk factors

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