Leading dietary determinants identified using machine learning techniques and a healthy diet score for changes in cardiometabolic risk factors in children: a longitudinal analysis

BACKGROUND: Identifying leading dietary determinants for cardiometabolic risk (CMR) factors is urgent for prioritizing interventions in children. We aimed to identify leading dietary determinants for the change in CMR and create a healthy diet score (HDS) to predict CMR in children. METHODS: We incl...

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Detalles Bibliográficos
Autores principales: Shang, Xianwen, Li, Yanping, Xu, Haiquan, Zhang, Qian, Liu, Ailing, Du, Songming, Guo, Hongwei, Ma, Guansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502204/
https://www.ncbi.nlm.nih.gov/pubmed/32950062
http://dx.doi.org/10.1186/s12937-020-00611-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7502204/
https://www.ncbi.nlm.nih.gov/pubmed/32950062
http://dx.doi.org/10.1186/s12937-020-00611-2

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