IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i5p2752-d513244.html
   My bibliography  Save this article

Examining If Changes in the Type of School-Based Intramural Programs Affect Youth Physical Activity over Time: A Natural Experiment Evaluation

Author

Listed:
  • Kathleen E. Burns

    (School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Ashok Chaurasia

    (School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Valerie Carson

    (Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB T6G 2R3, Canada)

  • Scott T. Leatherdale

    (School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

Abstract

(1) School-based physical activity programs such as intramurals provide youth with inclusive opportunities to be physically active, yet we know little about how types of intramurals (e.g., team and individual sports) may contribute to youth MVPA. This research aims to evaluate how real-world changes in types of intramurals available in schools impact youth physical activity over time. (2) This study used three years of longitudinal school- and student-level data from Ontario schools participating in year 5 (2016–2017), year 6 (2017–2018) and year 7 (2018–2019) of the COMPASS study. Data on types of intramural programs from 55 schools were obtained, baseline demographic characteristics were measured and data on physical activity and sport participation were collected on a sample of 4417 students. Hierarchical linear mixed regression models were used to estimate how changes in the type of intramurals associate with youth MVPA over time. (3) Regardless of participation, adding individual and team intramurals was significantly and positively associated with female MVPA in Y6. (4) The indirect, but positive relationship between adding individual and team intramurals and female MVPA may be explained by other characteristics of the school environment that are conducive to female MVPA.

Suggested Citation

  • Kathleen E. Burns & Ashok Chaurasia & Valerie Carson & Scott T. Leatherdale, 2021. "Examining If Changes in the Type of School-Based Intramural Programs Affect Youth Physical Activity over Time: A Natural Experiment Evaluation," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2752-:d:513244
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/5/2752/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/5/2752/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ford, E.S. & Zhao, G. & Tsai, J. & Li, C., 2011. "Low-Risk lifestyle behaviors and all-cause mortality: Findings from the national health and nutrition examination survey III mortality study," American Journal of Public Health, American Public Health Association, vol. 101(10), pages 1922-1929.
    2. Maia Smith & Dietrich Berdel & Dennis Nowak & Joachim Heinrich & Holger Schulz, 2015. "Sport Engagement by Accelerometry under Field Conditions in German Adolescents: Results from GINIPlus," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-15, August.
    3. Kelder, S.H. & Perry, C.L. & Klepp, K.-I. & Lytle, L.L., 1994. "Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors," American Journal of Public Health, American Public Health Association, vol. 84(7), pages 1121-1126.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lindsay C. Kobayashi & Sarah Frank & Carlos Riumallo-Herl & David Canning & Lisa Berkman, 2019. "Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 135-145, January.
    2. Tetyana Pudrovska & Benedicta Anikputa, 2014. "Editor's choice Early-Life Socioeconomic Status and Mortality in Later Life: An Integration of Four Life-Course Mechanisms," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(3), pages 451-460.
    3. Debra A. Hoffmann & Jenna M. Marx & Jacob M. Burmeister & Dara R. Musher-Eizenman, 2018. "Friday Night Is Pizza Night: A Comparison of Children’s Dietary Intake and Maternal Perceptions and Feeding Goals on Weekdays and Weekends," IJERPH, MDPI, vol. 15(4), pages 1-12, April.
    4. Belot, Michèle & James, Jonathan & Nolen, Patrick, 2016. "Incentives and children's dietary choices: A field experiment in primary schools," Journal of Health Economics, Elsevier, vol. 50(C), pages 213-229.
    5. Mancino, Lisa & Todd, Jessica E. & Guthrie, Joanne F. & Lin, Biing-Hwan, 2010. "How Food Away From Home Affects Children's Diet Quality," Economic Research Report 134700, United States Department of Agriculture, Economic Research Service.
    6. Daniela Weible, 2013. "Gender-Driven Food Choice: Explaining School Milk Consumption of Boys and Girls," Journal of Consumer Policy, Springer, vol. 36(4), pages 403-423, December.
    7. World Bank, 2020. "Assessing Public Financing for Nutrition in Sri Lanka (2014–2018)," World Bank Publications - Reports 33419, The World Bank Group.
    8. Gong, Jie & Lu, Yi & Xie, Huihua, 2020. "The average and distributional effects of teenage adversity on long-term health," Journal of Health Economics, Elsevier, vol. 71(C).
    9. Asirvatham, Jebaraj & Nayga, Rodolfo M. Jr. & Thomsen, Michael R., 2013. "Peer-Effects on Childhood Obesity," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150417, Agricultural and Applied Economics Association.
    10. Christoph-Schulz, Inken & Weible, Daniela & Salamon, Petra, 2018. "Youths’ Preferences for Milk Products at School: How Product Attributes and Perceived Body Image Affect Choices," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(2), March.
    11. Lauren Lautenschlager & Chery Smith, 2007. "Beliefs, knowledge, and values held by inner-city youth about gardening, nutrition, and cooking," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 24(2), pages 245-258, June.
    12. Dondero, Molly & Van Hook, Jennifer, 2016. "Generational status, neighborhood context, and mother-child resemblance in dietary quality in Mexican-origin families," Social Science & Medicine, Elsevier, vol. 150(C), pages 212-220.
    13. Nie, Peng & Sousa-Poza, Alfonso & He, Xiaobo, 2015. "Peer effects on childhood and adolescent obesity in China," China Economic Review, Elsevier, vol. 35(C), pages 47-69.
    14. Papoutsi, Georgia S. & Nayga, Rodolfo M. & Lazaridis, Panagiotis & Drichoutis, Andreas C., 2015. "Fat tax, subsidy or both? The role of information and children's pester power in food choice," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 196-208.
    15. Caterina Trevisan & Giulia Capodaglio & Eliana Ferroni & Ugo Fedeli & Marianna Noale & Giovannella Baggio & Enzo Manzato & Stefania Maggi & Maria Chiara Corti & Giuseppe Sergi, 2022. "Cardiovascular risk profiles and 20-year mortality in older people: gender differences in the Pro.V.A. study," European Journal of Ageing, Springer, vol. 19(1), pages 37-47, March.
    16. Cayley E. Velazquez & Jennifer L. Black & Monique Potvin Kent, 2017. "Food and Beverage Marketing in Schools: A Review of the Evidence," IJERPH, MDPI, vol. 14(9), pages 1-15, September.
    17. Inhwan Lee & Shinuk Kim & Hyunsik Kang, 2019. "Lifestyle Risk Factors and All-Cause and Cardiovascular Disease Mortality: Data from the Korean Longitudinal Study of Aging," IJERPH, MDPI, vol. 16(17), pages 1-11, August.
    18. Rongrong Zhang & Song Liu & Ming Li & Xiong He & Chunshan Zhou, 2021. "The Effect of High-Density Built Environments on Elderly Individuals’ Physical Health: A Cross-Sectional Study in Guangzhou, China," IJERPH, MDPI, vol. 18(19), pages 1-22, September.
    19. Papoutsi, Georgia & Nayga, Rodolfo & Lazaridis, Panagiotis & Drichoutis, Andreas, 2013. "Nudging parental health behavior with and without children's pestering power: Fat tax, subsidy or both?," MPRA Paper 52324, University Library of Munich, Germany.
    20. Livingstone, Sonia & Helsper, Ellen, 2004. "Advertising foods to children: Understanding promotion in the context of children's daily lives. A review of the literature prepared for the Research Department of the Office of Communications (OFCOM)," LSE Research Online Documents on Economics 21757, London School of Economics and Political Science, LSE Library.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2752-:d:513244. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.