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Adolescent hockey players’ predispositions to adopt sport and exercise behaviours: An ecological perspective

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  • Vincent Huard Pelletier
  • Stephanie Girard
  • Jean Lemoyne

Abstract

Organized sport yields many cognitive, social and physical benefits and is one of the most popular types of physical activity for children and adolescents. Despite the benefits of sports participation, a substantial proportion of adolescents fail to meet Canadian guidelines regarding physical activity. In this regard, it is relevant to understand the mechanisms underlying the adoption of various active behaviours. This study aims to identify the predisposing, enabling and reinforcing factors that potentially influence 4 categories of active behaviours using the Youth Physical Activity Promotion model (YPAP). Data was drawn from 416 male adolescent hockey players (Mage = 15.4; SD = 2) who completed a pre-validated questionnaire. Structural equation modeling and interaction analyses were performed to explain the contribution of each determinant. Findings reveal that there are different behavioural patterns based on the type of activity. The interaction between attitudes and environmental factors was a key predictor for each type of behaviour. Perceived competence was associated with more recreational activities, whereas the support of parents and coaches determined involvement in ice hockey. This study refined our understanding of physical activity participation among adolescents already involved in organized sports and emphasized the importance of considering multiple factors surrounding their environment. Several practical recommendations are made to improve young athletes’ predisposition to practice physical activity in an organized sports setting.

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  • Vincent Huard Pelletier & Stephanie Girard & Jean Lemoyne, 2020. "Adolescent hockey players’ predispositions to adopt sport and exercise behaviours: An ecological perspective," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    • Handle: RePEc:plo:pone00:0228352
    DOI: 10.1371/journal.pone.0228352
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    1. Andreas Klein & Helfried Moosbrugger, 2000. "Maximum likelihood estimation of latent interaction effects with the LMS method," Psychometrika, Springer;The Psychometric Society, vol. 65(4), pages 457-474, December.
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