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Original research| Volume 25, ISSUE 4, P321-326, April 2022

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The impact of an implementation intervention that increased school's delivery of a mandatory physical activity policy on student outcomes: A cluster-randomised controlled trial

  • Alix Hall
    Correspondence
    Corresponding author.
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia
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  • Luke Wolfenden
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia

    Hunter New England Population Health, Hunter New England Area Health Service, Australia
    Search for articles by this author
  • Adam Shoesmith
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia
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  • Nicole McCarthy
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia

    Hunter New England Population Health, Hunter New England Area Health Service, Australia
    Search for articles by this author
  • John Wiggers
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia

    Hunter New England Population Health, Hunter New England Area Health Service, Australia
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  • Adrian E. Bauman
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Australia
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  • Chris Rissel
    Affiliations
    Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Australia
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  • Rachel Sutherland
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia

    Hunter New England Population Health, Hunter New England Area Health Service, Australia
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  • Christophe Lecathelinais
    Affiliations
    Hunter Medical Research Institute, Australia

    Hunter New England Population Health, Hunter New England Area Health Service, Australia
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  • Hannah Brown
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia
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  • Stewart G. Trost
    Affiliations
    Institute of Health and Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, Australia
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  • Nicole Nathan
    Affiliations
    School of Medicine and Public Health, The University of Newcastle, Australia

    Priority Research Centre for Health Behaviour, The University of Newcastle, Australia

    Hunter Medical Research Institute, Australia

    Hunter New England Population Health, Hunter New England Area Health Service, Australia
    Search for articles by this author
Published:December 15, 2021DOI:https://doi.org/10.1016/j.jsams.2021.12.005

      Abstract

      Objectives

      Assess the impact of an implementation intervention on student's physical activity, health-related quality of life (HRQoL) and on-task behaviour.

      Design

      A cluster-randomised controlled trial.

      Methods

      Following baseline 61 eligible schools were randomised to a 12-month, implementation intervention to increase teacher scheduling of physical activity, or a waitlist control. Whole school-day and class-time physical activity of students from grades 2 and 3 (~ages 7 to 9) were measured via wrist-worn accelerometers and included: moderate-to-vigorous physical activity, light physical activity, sedentary behaviour and activity counts per minute. Children's health related quality of life (HRQoL) and out-of-school-hours physical activity was measured via parent-proxy surveys. Class level on-task behaviour was measured via teacher self-report surveys. Student and teacher obtained outcomes were measured at baseline and 12-month follow-up. Parent reported outcomes were measured at 12-month follow-up. Linear mixed models compared between group differences in outcomes. Differential effects by sex were explored for student and parent reported outcomes.

      Results

      Data from 2485 students, 1220 parents and >500 teachers were analysed. There was no statistically significant between group differences in any of the outcomes, including accelerometer measured physical activity, out-of-school-hours physical activity, HRQoL, and on-task behaviour. A statistically significant differential effect by sex was found for sedentary behaviour across the whole school day (3.16 min, 95% CI: 0.19, 6.13; p = 0.028), with females illustrating a greater difference between groups than males.

      Conclusions

      Only negligible effects on student physical activity were found. Additional strategies including improving the quality of teacher's delivery of physical activity may be required to enhance effects.

      Abbreviations:

      BCW (Behaviour Change Wheel), MVPA (Moderate to vigorous physical activity), NSW (New South Wales), PE (Physical Education), TDF (Theoretical Domains Framework), CI (Confidence Interval), SD (Standard deviation), HRQoL (Health related quality of life), CATI (Computer-assisted telephone interview), HNE (Hunter New England)

      Keywords

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      References

        • Australian Institute of Health and Welfare
        Australia's Children. Cat. no. CWS 69.
        AIHW, Canberra2020
        • Loprinzi P.
        • Cardinal B.
        • Loprinzi K.
        • et al.
        Benefits and environmental determinants of physical activity in children and adolescents.
        Obes Facts. 2012; 5: 597-610
        • Chaddock L.
        • Pontifex M.
        • Hillman C.
        • et al.
        A review of the relation of aerobic fitness and physical activity to brain structure and function in children.
        J Int Neuropsychol Soc. 2011; 17: 975-985
        • Konstabel K.
        • Veidebaum T.
        • Verbestel V.
        • et al.
        Objectively measured physical activity in European children: the IDEFICS study.
        Int J Obes. 2014; 38: S135-S143
        • Friel C.
        • Duran A.
        • Shechter A.
        • et al.
        U.S. children meeting physical activity, screen time, and sleep guidelines.
        Am J Prev Med. 2020; 59: 513-521
        • World Health Organization (WHO)
        WHO Guidelines on Physical Activity and Sedentary Behaviour.
        (Switzerland)2020
        • World Health Organization (WHO)
        Global Recommendations on Physical Activity for Health.
        WHO, Switzerland2010
        • McKenzie T.
        • Kahan D.
        Physical activity, public health, and elementary schools.
        Elem Sch J. 2008; 108
        • Gu X.
        • Zhang T.
        • Chen S.
        • et al.
        School-based sedentary behavior, physical activity, and health-related outcomes among Hispanic children in the United States: a cross-sectional study.
        Int J Environ Res Public Health. 2020; 17
        • Schmidt S.
        • Reinboth M.
        • Resaland G.
        • et al.
        Changes in physical activity, physical fitness and well-being following a school-based health promotion program in a Norwegian region with a poor public health profile: a non-randomized controlled study in early adolescents.
        Int J Environ Res Public Health. 2020; 13
        • Owen K.
        • Parker P.
        • Van Zanden B.
        • et al.
        Physical activity and school engagement in youth: a systematic review and meta-analysis.
        Educ Psychol. 2016; 51
        • Watson A.
        • Timperio A.
        • Brown H.
        • et al.
        Effect of classroom-based physical activity interventions on academic and physical activity outcomes: a systematic review and meta-analysis.
        Int J Behav Nutr Phys Act. 2017; 14
        • NSW Department of Education
        Sport and Physical Activity Policy.
        (Published 2015)
        • Masse L.
        • Naiman D.
        • Naylor P.
        From policy to practice: implementation of physical activity and food policies in schools.
        Int J Behav Nutr Phys Act. 2013; 10
        • Stylianou M.
        • Walker J.
        An assessment of Australian school physical activity and nutrition policies.
        Aust N Z J Public Health. 2017; (Online)https://doi.org/10.1111/1753-6405.12751
        • Allison K.
        • Vu-Nguyen K.
        • Ng B.
        • et al.
        Evaluation of daily physical activity (DPA) policy implementation in Ontario: surveys of elementary school administrators and teachers.
        BMC Public Health. 2016; 16
        • Nathan N.
        • Elton B.
        • Babic M.
        • et al.
        Barriers and facilitators to the implementation of physical activity policies in schools: a systematic review.
        Prev Med. 2018; 107: 45-53
        • Nathan N.
        • Wiggers J.
        • Bauman A.
        • et al.
        A cluster randomised controlled trial of an intervention to increase the implementation of school physical activity policies and guidelines: study protocol for the physically active children in education (PACE) study.
        BMC Public Health. 2019; 19
        • Nathan N.
        • Sutherland R.
        • Hope K.
        • et al.
        Implementation of a school physical activity policy improves student physical activity levels: outcomes of a cluster-randomized controlled trial.
        J Phys Act Health. 2020; 17: 1009-1018
        • Poitras V.
        • Gray C.
        • Orghese M.
        • et al.
        Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth.
        Appl Physiol Nutr Metab. 2016; 41: S197-S239
        • Bull F.C.
        • Al-Ansari S.S.
        • Biddle S.
        • et al.
        World Health Organization 2020 guidelines on physical activity and sedentary behaviour.
        Br J Sports Med. 2020; 54: 1451-1462
        • Nathan N.
        • Hall A.
        • McCarthy N.
        • et al.
        Multi-strategy intervention increases school implementation and maintenance of a mandatory physical activity policy: outcomes of a cluster randomised controlled trial.
        Br J Sports Med. 2021; : 0
        • Michie S.
        • Atkins L.
        The Behaviour Change Wheel: A Guide To Designing.
        Silverback Publishing, Sutton2014
        • Michie S.
        • Johnston M.
        • Francis J.
        • et al.
        Theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques.
        Appl Psychol. 2008; 57: 660-680
        • Ahmadi M.
        • Nathan N.
        • Sutherland R.
        • et al.
        Non-wear or sleep? Evaluation of five non-wear detection algorithms for raw accelerometer data.
        J Sports Sci. 2020; 38: 399-404
        • Chandler J.L.
        • Brazendale K.
        • Beets M.
        • et al.
        Classification of physical activity intensities using a wrist-worn accelerometer in 8–12-year-old children.
        Pediatr Obes. 2015; 11: 120-127
        • Varni J.
        • Limbers C.
        • Burwinkle T.
        Parent proxy-report of their children’s health-related quality of life: an analysis of 13,878 parents’ reliability and validity across age subgroups using the PedsQLTM 4.0 Generic Core Scales.
        Health Qual Life Outcomes. 2007; 5
        • Varni J.
        The PedsQL Scroing Algorithm.
        https://www.pedsql.org/score.html
        Date accessed: November , 2020
        (Published 1998)
        • Centre for Epidemiology and Evidence
        New South Wales Population Health Surveys.
        (Published 2020)
        • Organisation for Economic Co-operation and Development
        TALIS 2013 Technical Report.
        2014
        • Lane C.
        • McCrabb S.
        • Nathan N.
        • et al.
        How effective are physical activity interventions when they are scaled-up: a systematic review.
        Int J Behav Nutr Phys Act. 2021; 18
        • Beets M.
        • Weaver R.
        • Ioannidis J.
        • et al.
        Identification and evaluation of risk of generalizability biases in pilot versus efficacy/effectiveness trials: a systematic review and meta-analysis.
        Int J Behav Nutr Phys Act. 2020; 17
        • Shoesmith A.
        • Hall A.
        • Hope K.
        • et al.
        Associations between in-school-hours physical activity and child health-related quality of life: a cross-sectional study in a sample of Australian primary school children.
        Prev Med Rep. 2020; 20
        • Australian Bureau of Statistics
        Technical Paper: Census of Population and Housing: Socio-economic Indexes For Australia (SEIFA). Cat. no. 2039.0.55.001.
        Commonwealth of Australia, Canberra, Australia2001
        • Australian Bureau of Statistics
        1270.0.55.005 - Australian Statistical Geography Standard (ASGS): Volume 5 - Remoteness Structure, July 2016.
        Commonwealth of Australia, Canberra, Australia2018