ArticleInternational journal of environmental research and public health2021
Association with Temperature Variability and Physical Activity, Sedentary Behavior, and Sleep in a Free-Living Population.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Associations between extreme temperature events and daily step counts by weight status and modifying effects of sociodemographic factors: a longitudinal study.The American journal of clinical nutrition · 2026Article
- Methodological Choices on 24-h Movement Behavior Assessment by Accelerometry: A Scoping Review.Sports medicine - open · 2025Review
- The Effect of Affective Exercise Experiences and Environmental Factors on Adherence to Outdoor Exercise Programs.European journal of investigation in health, psychology and education · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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 (
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Registered trials
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