Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study

BACKGROUND: Identification of new physical activity (PA) and sedentary behaviour (SB) features relevant for health at older age is important to diversify PA targets in guidelines, as older adults rarely adhere to current recommendations focusing on total duration. We aimed to identify accelerometer-...

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Detalles Bibliográficos
Autores principales: Chen, Mathilde, Landré, Benjamin, Marques-Vidal, Pedro, van Hees, Vincent T., van Gennip, April C.E., Bloomberg, Mikaela, Yerramalla, Manasa S., Benadjaoud, Mohamed Amine, Sabia, Séverine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772789/
https://www.ncbi.nlm.nih.gov/pubmed/36568684
http://dx.doi.org/10.1016/j.eclinm.2022.101773

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772789/
https://www.ncbi.nlm.nih.gov/pubmed/36568684
http://dx.doi.org/10.1016/j.eclinm.2022.101773

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