Seasonal Sleep Variations and Their Association With Meteorological Factors: A Japanese Population Study Using Large-Scale Body Acceleration Data

Seasonal Sleep Variations and Their Association With Meteorological Factors: A Japanese Population Study Using Large-Scale Body Acceleration Data

Seasonal changes in meteorological factors [e.g., ambient temperature (Ta), humidity, and sunlight] could significantly influence a person's sleep, possibly resulting in the seasonality of sleep properties (timing and quality). However, population-based studies on sleep seasonality or its assoc...

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Bibliographic Details
Main Authors: Li Li, Toru Nakamura, Junichiro Hayano, Yoshiharu Yamamoto
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Digital Health
Subjects:
sleep seasonality
meteorological factors
big data
acceleration data
Japanese
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2021.677043/full

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