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    Predicting students' physical activity and health-related well-being: a prospective cross-domain investigation of motivation across school physical education and exercise settings

    227495_227495.pdf (298.1Kb)
    Access Status
    Open access
    Authors
    Standage, M.
    Gillison, F.
    Ntoumanis, Nikos
    Treasure, D.
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Standage, M. and Gillison, F. and Ntoumanis, N. and Treasure, D. 2012. Predicting students' physical activity and health-related well-being: a prospective cross-domain investigation of motivation across school physical education and exercise settings. Journal of Sport and Exercise Psychology. 34 (1): pp. 37-60.
    Source Title
    Journal of Sport and Exercise Psychology
    ISSN
    0895-2779
    Remarks

    Copyright © 2012 Human Kinetics, as accepted for publication

    URI
    http://hdl.handle.net/20.500.11937/48330
    Collection
    • Curtin Research Publications
    Abstract

    A three-wave prospective design was used to assess a model of motivation guided by self-determination theory (Ryan & Deci, 2008) spanning the contexts of school physical education (PE) and exercise. The outcome variables examined were health-related quality of life (HRQoL), physical self-concept (PSC), and 4 days of objectively assessed estimates of activity. Secondary school students (n = 494) completed questionnaires at three separate time points and were familiarized with how to use a sealed pedometer. Results of structural equation modeling supported a model in which perceptions of autonomy support from a PE teacher positively predicted PE-related need satisfaction (autonomy, competence, and relatedness). Competence predicted PSC, whereas relatedness predicted HRQoL. Autonomy and competence positively predicted autonomous motivation toward PE, which in turn positively predicted autonomous motivation toward exercise (i.e., 4-day pedometer step count). Autonomous motivation toward exercise positively predicted step count, HRQoL, and PSC. Results of multisample structural equation modeling supported gender invariance. Suggestions for future work are discussed.

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