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Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors
BACKGROUND: Few studies consider how risk factors within multiple levels of influence operate synergistically to determine childhood obesity. We used recursive partitioning analysis to identify unique combinations of individual, familial, and neighborhood factors that best predict obesity in childre...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336734/ https://www.ncbi.nlm.nih.gov/pubmed/25881227 http://dx.doi.org/10.1186/s12966-015-0175-7 |