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Cross-Sectional and Longitudinal Associations between 24-Hour Movement Behaviours, Recreational Screen Use and Psychosocial Health Outcomes in Children: A Compositional Data Analysis Approach

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  • Kar Hau Chong

    (Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia
    School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia)

  • Anne-Maree Parrish

    (Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia
    School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia)

  • Dylan P. Cliff

    (Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia
    School of Education, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia
    Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia)

  • Dorothea Dumuid

    (Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA 5001, Australia)

  • Anthony D. Okely

    (Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia
    School of Health and Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia
    Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia)

Abstract

It remains unclear whether the time-use composition of 24-h movement behaviours (sleep, sedentary time (ST), physical activity (PA)) and recreational screen use are independently associated with psychosocial health. This study examined the cross-sectional and longitudinal associations between 24-h movement behaviour composition, recreational screen use and psychosocial health outcomes in children. Measures completed at baseline (n = 127; 11.7 years) and follow-up (n = 88; 12.8 years) included accelerometer-based 24-h movement behaviours, self-reported recreational screen use and psychosocial health (Strengths and Difficulties Questionnaire, Kessler’s Psychological Distress Scale). Linear mixed models were used to examine the cross-sectional and longitudinal associations between the 24-h movement behaviour composition and recreational screen use levels with psychosocial health outcomes. Overall, the movement behaviour composition ( p < 0.05) and recreational screen use levels ( p < 0.01) were both cross-sectionally but not longitudinally associated with psychosocial health outcomes. Relative to other behaviours, sleep was negatively associated, while light-intensity PA was positively associated with internalising problems and total difficulties scores. ST was positively associated with internalising problems. High levels of recreational screen use (>2 h/day) were associated with greater externalising problems, total difficulties scores and psychological distress. These findings reinforce the importance of achieving a balance between different types of movement behaviours over a 24-h period for psychosocial health.

Suggested Citation

  • Kar Hau Chong & Anne-Maree Parrish & Dylan P. Cliff & Dorothea Dumuid & Anthony D. Okely, 2021. "Cross-Sectional and Longitudinal Associations between 24-Hour Movement Behaviours, Recreational Screen Use and Psychosocial Health Outcomes in Children: A Compositional Data Analysis Approach," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5995-:d:568028
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    References listed on IDEAS

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    1. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    2. Nikola Štefelová & Jan Dygrýn & Karel Hron & Aleš Gába & Lukáš Rubín & Javier Palarea-Albaladejo, 2018. "Robust Compositional Analysis of Physical Activity and Sedentary Behaviour Data," IJERPH, MDPI, vol. 15(10), pages 1-18, October.
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    Cited by:

    1. Lin Luo & Xiaojin Zeng & Yunxia Cao & Yulong Hu & Shaojing Wen & Kaiqi Tang & Lina Ding & Xiangfei Wang & Naiqing Song, 2023. "The Associations between Meeting 24-Hour Movement Guidelines (24-HMG) and Mental Health in Adolescents—Cross Sectional Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-15, February.

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