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A Multilevel Analysis of Neighbourhood, School, Friend and Individual-Level Variation in Primary School Children’s Physical Activity

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  • Ruth Salway

    (Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, Bristol BS8 1TZ, UK)

  • Lydia Emm-Collison

    (Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, Bristol BS8 1TZ, UK)

  • Simon J. Sebire

    (Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, Bristol BS8 1TZ, UK)

  • Janice L. Thompson

    (School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK)

  • Deborah A. Lawlor

    (MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
    Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Whiteladies Road, Bristol BS8 2PS, UK)

  • Russell Jago

    (Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, Bristol BS8 1TZ, UK)

Abstract

Physical activity is influenced by individual, inter-personal and environmental factors. In this paper, we explore the variability in children’s moderate-to-vigorous physical activity (MVPA) at different individual, parent, friend, school and neighbourhood levels. Valid accelerometer data were collected for 1077 children aged 9, and 1129 at age 11, and the average minutes of MVPA were derived for weekdays and weekends. We used a multiple-membership, multiple-classification model (MMMC) multilevel model to compare the variation in physical activity outcomes at each of the different levels. There were differences in the proportion of variance attributable to the different levels between genders, for weekdays and weekends, at ages 9 and 11. The largest proportion of variability in MVPA was attributable to individual variation, accounting for half of the total residual variability for boys, and two thirds of the variability for girls. MVPA clustered within friendship groups, with friends influencing peer MVPA. Including covariates at the different levels explained only small amounts (3%–13%) of variability. There is a need to enhance our understanding of individual level influences on children’s physical activity.

Suggested Citation

  • Ruth Salway & Lydia Emm-Collison & Simon J. Sebire & Janice L. Thompson & Deborah A. Lawlor & Russell Jago, 2019. "A Multilevel Analysis of Neighbourhood, School, Friend and Individual-Level Variation in Primary School Children’s Physical Activity," IJERPH, MDPI, vol. 16(24), pages 1-16, December.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:4889-:d:294130
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    References listed on IDEAS

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    Cited by:

    1. Manuel Ávila-García & María Esojo-Rivas & Emilio Villa-González & Pablo Tercedor & Francisco Javier Huertas-Delgado, 2021. "Relationship between Sedentary Time, Physical Activity, and Health-Related Quality of Life in Spanish Children," IJERPH, MDPI, vol. 18(5), pages 1-11, March.
    2. Ruth Salway & Simon J. Sebire & Byron Tibbitts & Emily Sanderson & Rebecca Kandiyali & Kate Willis & Stephanie J. MacNeill & Russell Jago, 2020. "Physical Activity and Psychosocial Characteristics of the Peer Supporters in the PLAN-A Study—A Latent Class Analysis," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
    3. Lydia Emm-Collison & Rosina Cross & Maria Garcia Gonzalez & Debbie Watson & Charlie Foster & Russell Jago, 2022. "Children’s Voices in Physical Activity Research: A Qualitative Review and Synthesis of UK Children’s Perspectives," IJERPH, MDPI, vol. 19(7), pages 1-23, March.

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