Accelerometer‐Derived Daily Life Movement Classified by Machine Learning and Incidence of Cardiovascular Disease in Older Women: The OPACH Study

Accelerometer‐Derived Daily Life Movement Classified by Machine Learning and Incidence of Cardiovascular Disease in Older Women: The OPACH Study

Background Current physical activity guidelines focus on volume and intensity for CVD prevention rather than common behaviors responsible for movement, including those for daily living activities. We examined the associations of a machine‐learned, accelerometer‐measured behavior termed daily life mo...

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Bibliographic Details
Main Authors: Steve Nguyen, John Bellettiere, Guangxing Wang, Chongzhi Di, Loki Natarajan, Michael J. LaMonte, Andrea Z. LaCroix
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
aging
cardiovascular disease
epidemiology
lifestyle
machine learning
primary prevention
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.121.023433

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.121.023433

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