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Impact of Seasonality on Physical Activity: A Systematic Review

Author

Listed:
  • Antonio Garriga

    (Faculty of Physiotherapy, Universitat de València, 46010 Valencia, Spain)

  • Nuria Sempere-Rubio

    (Department of Physiotherapy, Universitat de València, 46010 Valencia, Spain
    Clinical Biomechanics Research Unit (UBIC), Department of Physiotherapy, Universitat de València, 46010 Valencia, Spain)

  • María José Molina-Prados

    (Department of Physiotherapy, Universitat de València, 46010 Valencia, Spain)

  • Raquel Faubel

    (Department of Physiotherapy, Universitat de València, 46010 Valencia, Spain
    Joint Research Unit in IctAapplied to Reengineering Socio-Sanitary Process, IIS La Fe—Universitat Politècnica de València, 46026 Valencia, Spain
    PTinMOTION—Physiotherapy in Motion Multispeciality Research Group, Department of Physiotherapy, Universitat de València, 46010 Valencia, Spain)

Abstract

Background: The purpose of this study was to collect and analyze the available scientific evidence of the impact of seasonality on physical activity (PA). PA refers to walking, biking, sports and/or active recreation. Methods: The search was performed in the following databases: PubMed, PEDro, Cochrane and Embase. All publications from January 2015 to September 2020 assessing seasonal variations on physical activity development in adults were selected. Results: A total of 1159 articles were identified, of which 26 fulfilled the selection criteria involving 9300 participants from 18 different countries. The results obtained suggest that seasonality affects PA independently of the countries, pathologies of the participants and the tool to collect PA information. Conclusions: PA level varies across the seasons, with higher PA level in summer compared with other seasons, especially in winter. Sedentary behavior follows the opposite trend. Impact of seasonality variations should be considered in clinical research involving PA as a primary outcome as well as in interventions on PA promotion.

Suggested Citation

  • Antonio Garriga & Nuria Sempere-Rubio & María José Molina-Prados & Raquel Faubel, 2021. "Impact of Seasonality on Physical Activity: A Systematic Review," IJERPH, MDPI, vol. 19(1), pages 1-22, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:2-:d:707197
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    References listed on IDEAS

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    1. Nanna Yr Arnardottir & Nina Dora Oskarsdottir & Robert J. Brychta & Annemarie Koster & Dane R. Van Domelen & Paolo Caserotti & Gudny Eiriksdottir & Johanna E. Sverrisdottir & Erlingur Johannsson & Len, 2017. "Comparison of Summer and Winter Objectively Measured Physical Activity and Sedentary Behavior in Older Adults: Age, Gene/Environment Susceptibility Reykjavik Study," IJERPH, MDPI, vol. 14(10), pages 1-11, October.
    2. Victor O. Akande & Robert A.C. Ruiter & Stef P.J. Kremers, 2019. "Environmental and Motivational Determinants of Physical Activity among Canadian Inuit in the Arctic," IJERPH, MDPI, vol. 16(13), pages 1-14, July.
    3. 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.
    4. David García-Álvarez & Raquel Faubel, 2020. "Strategies and Measurement Tools in Physical Activity Promotion Interventions in the University Setting: A Systematic Review," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
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    Cited by:

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    4. Stavros Poupakis & Francesco Salustri, 2024. "Asynchronous fieldwork in cross-country surveys: an application to physical activity," Empirical Economics, Springer, vol. 67(3), pages 1303-1318, September.
    5. 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.
    6. Oliver W. A. Wilson & Hamish McEwen & Paul Kelly & Justin Richards, 2022. "Declines in Physical Activity among New Zealand Adults during the COVID-19 Pandemic: Longitudinal Analyses of Five Data Waves from Pre-Pandemic through April 2021," IJERPH, MDPI, vol. 19(7), pages 1-9, March.

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