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Associations between Perceptions and Measures of Weather and Walking, United States—2015

Author

Listed:
  • Susan A. Carlson

    (National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA)

  • Geoffrey P. Whitfield

    (National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA)

  • Ryan T. Davis

    (Geospatial Research, Analysis, and Services Program, Division of Toxicology and Human Health Sciences, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30341, USA)

  • Erin L. Peterson

    (National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA)

  • Janet E. Fulton

    (National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA)

  • David Berrigan

    (Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892, USA)

Abstract

Introduction: Weather can be a barrier to walking. Understanding how perceptions of weather as a barrier and measured temperature are associated with walking can inform monitoring and promotion strategies. The objective of this study is to examine the association between perceptions of weather as a barrier to walking and measured weather with the volume of leisure and transportation walking. Methods: The 2015 National Health Interview Survey (NHIS) assessed participation in and volume of walking (transportation, leisure) in the past week and frequency of reporting weather as a barrier to walking. Data were collected over the entire year. In 2019, we merged month-specific temperature data from the PRISM climate group with individual NHIS records. We examined associations using logistic (participation) and linear regression models (volume). Results: Participation in walking increased as frequency of reporting weather as a barrier to walking decreased, from ‘almost always’ (transportation: 23%, leisure: 42%) to ‘a little of the time’ (transportation: 40%, leisure: 67%). Among adults reporting walking, walking volume increased as frequency of reporting weather as a barrier decreased from ‘almost always’ (transportation: 51 min/week, leisure: 64 min/week) to ‘never’ (transportation: 69 min/week, leisure: 98 min/week). Month-specific temperature was significantly associated with leisure walking with lower participation at the lowest and highest temperature quintiles, although the strength of the association differed by frequency of reporting weather as a barrier. Conclusions: In general, prevalence and volume of leisure and transportation walking decreased as the perception of weather as a barrier increased. Low and high temperature conditions were also associated with leisure walking participation, particularly among adults with increased perceptions of weather as a barrier. Our findings highlight the importance of including strategies to help adults overcome perceived and actual weather-related barriers in walking promotion efforts.

Suggested Citation

  • Susan A. Carlson & Geoffrey P. Whitfield & Ryan T. Davis & Erin L. Peterson & Janet E. Fulton & David Berrigan, 2021. "Associations between Perceptions and Measures of Weather and Walking, United States—2015," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8398-:d:610769
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    References listed on IDEAS

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    1. Ka-Man Leung & Kai-Ling Ou & Pak-Kwong Chung & Cecilie Thøgersen-Ntoumani, 2021. "Older Adults’ Perceptions toward Walking: A Qualitative Study Using a Social-Ecological Model," IJERPH, MDPI, vol. 18(14), pages 1-19, July.
    2. Eisenberg Daniel & Okeke Edward, 2009. "Too Cold for a Jog? Weather, Exercise, and Socioeconomic Status," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-32, June.
    3. Juwon Chung & Seung-Nam Kim & Hyungkyoo Kim, 2019. "The Impact of PM 10 Levels on Pedestrian Volume: Findings from Streets in Seoul, South Korea," IJERPH, MDPI, vol. 16(23), pages 1-23, December.
    4. Chun-Quan Ou & Yun-Feng Song & Jun Yang & Patsy Yuen-Kwan Chau & Lin Yang & Ping-Yan Chen & Chit-Ming Wong, 2013. "Excess Winter Mortality and Cold Temperatures in a Subtropical City, Guangzhou, China," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    5. Ernesto Infusino & Tommaso Caloiero & Francesco Fusto & Gianfranco Calderaro & Angelo Brutto & Giuseppe Tagarelli, 2021. "Characterization of the 2017 Summer Heat Waves and Their Effects on the Population of an Area of Southern Italy," IJERPH, MDPI, vol. 18(3), pages 1-16, January.
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    2. Yohannes Woldamanuel & Patrick Bergman & Philip von Rosen & Unn-Britt Johansson & Maria Hagströmer & Jenny Rossen, 2024. "Association between Weather and Self-Monitored Steps in Individuals with Prediabetes and Type 2 Diabetes in Sweden over Two Years," IJERPH, MDPI, vol. 21(4), pages 1-10, March.

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