Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging

Sleep is associated with various health outcomes. Despite their growing adoption, the potential for consumer wearables to contribute sleep metrics to sleep-related biomedical research remains largely uncharacterized. Here we analyzed sleep tracking data, along with questionnaire responses and multi-...

Descripción completa

Detalles Bibliográficos
Autores principales: Teo, Jing Xian, Davila, Sonia, Yang, Chengxi, Hii, An An, Pua, Chee Jian, Yap, Jonathan, Tan, Swee Yaw, Sahlén, Anders, Chin, Calvin Woon-Loong, Teh, Bin Tean, Rozen, Steven G., Cook, Stuart Alexander, Yeo, Khung Keong, Tan, Patrick, Lim, Weng Khong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778117/
https://www.ncbi.nlm.nih.gov/pubmed/31602410
http://dx.doi.org/10.1038/s42003-019-0605-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778117/
https://www.ncbi.nlm.nih.gov/pubmed/31602410
http://dx.doi.org/10.1038/s42003-019-0605-1

Ejemplares similares