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Tracking of Physical Activity, Sport Participation, and Sedentary Behaviors over Four Years of High School

Author

Listed:
  • Lovro Štefan

    (Faculty of Kinesiology, University of Zagreb, Horvaćanski zavoj 15, 10 000 Zagreb, Croatia)

  • Marjeta Mišigoj-Duraković

    (Faculty of Kinesiology, University of Zagreb, Horvaćanski zavoj 15, 10 000 Zagreb, Croatia)

  • Antonela Devrnja

    (Faculty of Kinesiology, University of Zagreb, Horvaćanski zavoj 15, 10 000 Zagreb, Croatia)

  • Hrvoje Podnar

    (Faculty of Kinesiology, University of Zagreb, Horvaćanski zavoj 15, 10 000 Zagreb, Croatia)

  • Vilko Petrić

    (The Faculty of Teacher Education, University of Rijeka, 51 000 Rijeka, Croatia)

  • Maroje Sorić

    (Faculty of Kinesiology, University of Zagreb, Horvaćanski zavoj 15, 10 000 Zagreb, Croatia
    Faculty of Sport, University of Ljubljana, 1 000 Ljubljana, Slovenia)

Abstract

Background: The aim of the present study was to investigate the extent of tracking of physical activity (PA), sports participation (SP), and sedentary behaviors (SB) over four years of high school education among the Croatian Physical Activity in Adolescence Longitudinal Study (CRO-PALS) cohort. Methods: In this investigation, participants were 844 high school students (15.6 years at baseline; 49% girls). The SHAPES questionnaire was used to assess PA, SP, and SB at ages 15, 16, 17, and 18 and tracking was assessed using generalized estimating equations. Results: Tracking coefficients for PA were similar in both sexes, ranged from 0.49 to 0.61, and indicated moderate tracking, while the tracking of SB tended to be somewhat higher over the four years of follow-up (β = 0.60–0.72). Youth that participated in sports at baseline had a 16 to 28 times higher odds of continued participation at follow-up, depending on the type of sport and gender. Finally, both low physical activity and high screen time showed strong tracking in both genders. Conclusion: PA and SB tracked moderately between ages 15 and 18. Moreover, the strong tracking of low PA and high screen time indicates that the detection of these risk factors at the beginning of high school should be advocated.

Suggested Citation

  • Lovro Štefan & Marjeta Mišigoj-Duraković & Antonela Devrnja & Hrvoje Podnar & Vilko Petrić & Maroje Sorić, 2018. "Tracking of Physical Activity, Sport Participation, and Sedentary Behaviors over Four Years of High School," Sustainability, MDPI, vol. 10(9), pages 1-13, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3104-:d:166827
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    Citations

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    Cited by:

    1. Antonio Fernández-Martínez & Raquel Pérez-Ordás & Román Nuviala & Mónica Aznar & Ana María Porcel-Gálvez & Alberto Nuviala, 2020. "Communication as a Strategy to Promote Sports and Health Activities Designed for Adolescents," IJERPH, MDPI, vol. 17(13), pages 1-13, July.
    2. Ivan Radman & Maroje Sorić & Marjeta Mišigoj-Duraković, 2020. "Prevalence of Key Modifiable Cardiovascular Risk Factors among Urban Adolescents: The CRO-PALS Study," IJERPH, MDPI, vol. 17(9), pages 1-11, May.
    3. Małgorzata Bronikowska & Jana Krzysztoszek & Marlena Łopatka & Mateusz Ludwiczak & Beata Pluta, 2021. "Comparison of Physical Activity Levels in Youths before and during a Pandemic Lockdown," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    4. Raquel Pérez-Ordás & Mónica Aznar Cebamanos & Román Nuviala & Alberto Nuviala, 2019. "Evaluation of Extracurricular Sports Activities as an Educational Element for Sustainable Development in Educational Institutions," Sustainability, MDPI, vol. 11(12), pages 1-13, June.
    5. Clemens Drenowatz & Klaus Greier & Gerhard Ruedl & Martin Kopp, 2019. "Association between Club Sports Participation and Physical Fitness across 6- to 14-Year-Old Austrian Youth," IJERPH, MDPI, vol. 16(18), pages 1-11, September.

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