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Association between Weather and Self-Monitored Steps in Individuals with Prediabetes and Type 2 Diabetes in Sweden over Two Years

Author

Listed:
  • Yohannes Woldamanuel

    (Department of Health Promoting Science, Sophiahemmet University, 114 86 Stockholm, Sweden)

  • Patrick Bergman

    (Department of Medicine and Optometry, eHealth Institute, Linnaeus University, 391 82 Kalmar, Sweden)

  • Philip von Rosen

    (Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 83 Stockholm, Sweden)

  • Unn-Britt Johansson

    (Department of Health Promoting Science, Sophiahemmet University, 114 86 Stockholm, Sweden)

  • Maria Hagströmer

    (Department of Health Promoting Science, Sophiahemmet University, 114 86 Stockholm, Sweden
    Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 83 Stockholm, Sweden
    Academic Primary Care Center, Region Stockholm, 113 65 Stockholm, Sweden)

  • Jenny Rossen

    (Department of Health Promoting Science, Sophiahemmet University, 114 86 Stockholm, Sweden)

Abstract

Background: Many studies have identified key factors affecting the rates of engagement in physical activity in older adults with chronic disease. Environmental conditions, such as weather variations, can present challenges for individuals with chronic diseases, such as type 2 diabetes when engaging in physical activity. However, few studies have investigated the influence of weather on daily steps in people with chronic diseases, especially those with prediabetes and type 2 diabetes. Objective: This study investigated the association between weather variations and daily self-monitored step counts over two years among individuals with prediabetes and type 2 diabetes in Sweden. Methods: The study is a secondary analysis using data from the Sophia Step Study, aimed at promoting physical activity among people with prediabetes and type 2 diabetes, which recruited participants from two urban primary care centers in Stockholm and one rural primary care center in southern Sweden over eight rounds. This study measured physical activity using step counters (Yamax Digiwalker SW200) and collected self-reported daily steps. Environmental factors such as daily average temperature, precipitation, and hours of sunshine were obtained from the Swedish Meteorological and Hydrological Institute. A robust linear mixed-effects model was applied as the analysis method. Results: There was no association found between weather variations and the number of steps taken on a daily basis. The analysis indicated that only 10% of the variation in daily steps could be explained by the average temperature, precipitation, and sunshine hours after controlling for age, gender, and BMI. Conversely, individual factors explained approximately 38% of the variation in the observations. Conclusion: This study revealed that there was no association between weather conditions and the number of daily steps reported by individuals with prediabetes and type 2 diabetes taking part in a physical activity intervention over two years. Despite the weather conditions, women and younger people reported more steps than their male and older counterparts.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:4:p:379-:d:1361610
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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. 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.
    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. Koller, Manuel, 2016. "robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(i06).
    5. 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.
    6. Brown, Tim & Bell, Morag, 2007. "Off the couch and on the move: Global public health and the medicalisation of nature," Social Science & Medicine, Elsevier, vol. 64(6), pages 1343-1354, March.
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