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

Author

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  • Jeong-Hui Park

    (Department of Physical Education, Kyung Hee University (Global Campus), 1732 Deokyoungdaero, Giheung-gu, Yongin-si 17014, Gyeonggi-do, Korea)

  • Youngwon Kim

    (Division of Kinesiology, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, China)

  • Gregory J. Welk

    (Department of Kinesiology, Iowa State University, Ames, IA 50011-4008, USA)

  • Pedro Silva

    (CIAFEL (Research Centre in Physical Activity, Health, and Leisure), Faculty of Sports-University of Porto, 4200-450 Porto, Portugal)

  • Jung-Min Lee

    (Department of Physical Education, Kyung Hee University (Global Campus), 1732 Deokyoungdaero, Giheung-gu, Yongin-si 17014, Gyeonggi-do, Korea
    Sports Science Research Center, Kyung Hee University (Global Campus), 1732 Deokyoungdaero, Giheung-gu, Yongin-si 17014, Gyeonggi-do, Korea)

Abstract

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.

Suggested Citation

  • Jeong-Hui Park & Youngwon Kim & Gregory J. Welk & Pedro Silva & Jung-Min Lee, 2021. "Association with Temperature Variability and Physical Activity, Sedentary Behavior, and Sleep in a Free-Living Population," IJERPH, MDPI, vol. 18(24), pages 1-11, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13077-:d:700062
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    References listed on IDEAS

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    1. Catherine B. Chan & Daniel A. Ryan, 2009. "Assessing the Effects of Weather Conditions on Physical Activity Participation Using Objective Measures," IJERPH, MDPI, vol. 6(10), pages 1-16, October.
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