Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data

Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data

Abstract Background Wearable devices have been widely used in research to understand the relationship between habitual physical activity and mental health in the real world. However, little attention has been paid to the temporal variability in continuous physical activity patterns measured by these...

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Bibliographic Details
Main Authors: Satoshi Yokoyama, Fumi Kagawa, Masahiro Takamura, Koki Takagaki, Kohei Kambara, Yuki Mitsuyama, Ayaka Shimizu, Go Okada, Yasumasa Okamoto
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Public Health
Subjects:
Time-series analysis
Physical activity
Wearable device
Depressive behavior
Online Access:https://doi.org/10.1186/s12889-023-14984-6

Internet

https://doi.org/10.1186/s12889-023-14984-6

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