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Article

Association with Temperature Variability and Physical Activity, Sedentary Behavior, and Sleep in a Free-Living Population

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Department of Physical Education, Kyung Hee University (Global Campus), 1732 Deokyoungdaero, Giheung-gu, Yongin-si 17014, Gyeonggi-do, Korea
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Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China
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Department of Kinesiology, Iowa State University, Ames, IA 50011-4008, USA
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CIAFEL (Research Centre in Physical Activity, Health, and Leisure), Faculty of Sports-University of Porto, 4200-450 Porto, Portugal
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Sports Science Research Center, Kyung Hee University (Global Campus), 1732 Deokyoungdaero, Giheung-gu, Yongin-si 17014, Gyeonggi-do, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Cristina Cortis and Paul Tchounwou
Int. J. Environ. Res. Public Health 2021, 18(24), 13077; https://doi.org/10.3390/ijerph182413077
Received: 23 September 2021 / Revised: 6 December 2021 / Accepted: 9 December 2021 / Published: 11 December 2021
(This article belongs to the Special Issue Advances in Kinesiology and Health)
The present study examines the temperature variability in physical activity (PA), sedentary behavior (SB), and sleep in a free-living population. A representative sample of 1235 adults (ages 21–70) from Iowa, U.S.A., wore a SenseWear Mini Armband (SWA) for a randomly assigned day. Koppen’s weather climate classification was used to precisely classify the temperature: cold (−13 to 32 °F), cool (32 to 50 °F), mild (50 to 64 °F), warm (64 to 73 °F), and hot (73 to 95 °F). The main effect of three-way ANOVA (age × gender × temperature) had differences for SB and sleep, with older adults having higher levels than younger adults (p < 0.05). However, moderate to vigorous PA (MVPA) did not vary systematically by age or gender, and contrary to expectations, the main effect of the weather was not significant for MVPA (p > 0.05). Participants spent more time participating in PA at cold than at hot temperatures. The results clarify the impact of temperature on shaping PA and SB patterns in adults. The variable impacts and differential patterns by age suggest that weather should be considered when interpreting differences in PA patterns in research or surveillance applications. View Full-Text
Keywords: temperature; accelerometer; physical activity; sedentary behavior; sleep time temperature; accelerometer; physical activity; sedentary behavior; sleep time
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MDPI and ACS Style

Park, J.-H.; Kim, Y.; Welk, G.J.; Silva, P.; Lee, J.-M. Association with Temperature Variability and Physical Activity, Sedentary Behavior, and Sleep in a Free-Living Population. Int. J. Environ. Res. Public Health 2021, 18, 13077. https://doi.org/10.3390/ijerph182413077

AMA Style

Park J-H, Kim Y, Welk GJ, Silva P, Lee J-M. Association with Temperature Variability and Physical Activity, Sedentary Behavior, and Sleep in a Free-Living Population. International Journal of Environmental Research and Public Health. 2021; 18(24):13077. https://doi.org/10.3390/ijerph182413077

Chicago/Turabian Style

Park, Jeong-Hui, Youngwon Kim, Gregory J. Welk, Pedro Silva, and Jung-Min Lee. 2021. "Association with Temperature Variability and Physical Activity, Sedentary Behavior, and Sleep in a Free-Living Population" International Journal of Environmental Research and Public Health 18, no. 24: 13077. https://doi.org/10.3390/ijerph182413077

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