Sleep Duration and Physical Activity Profiles Associated With Self-Reported Stroke in the United States: Application of Bayesian Belief Network Modeling Techniques

Sleep Duration and Physical Activity Profiles Associated With Self-Reported Stroke in the United States: Application of Bayesian Belief Network Modeling Techniques

Introduction: Physical activity (PA) and sleep are associated with cerebrovascular disease and events like stroke. Though the interrelationships between PA, sleep, and other stroke risk factors have been studied, we are unclear about the associations of different types, frequency and duration of PA,...

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Bibliographic Details
Main Authors: Azizi A. Seixas, Dwayne A. Henclewood, Stephen K. Williams, Ram Jagannathan, Alberto Ramos, Ferdinand Zizi, Girardin Jean-Louis
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Neurology
Subjects:
sleep duration
physical activity
stroke
machine learning
sex
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2018.00534/full

Internet

https://www.frontiersin.org/article/10.3389/fneur.2018.00534/full

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