Literature DB >> 21820730

Brief report: understanding intention to be physically active and physical activity behaviour in adolescents from a low socio-economic status background: an application of the Theory of Planned Behaviour.

Michael J Duncan1, Amanda Rivis, Caroline Jordan.   

Abstract

The aim of this brief report is to report on the utility of the Theory of Planned Behaviour (TPB) for predicting the physical activity intentions and behaviour of British adolescents from lower-than-average socio-economic backgrounds. A prospective questionnaire design was employed with 197, 13-14 year olds (76 males, 121 females). At time 1 participant completed standard measures of TPB variables. One week later (Time 2), participants completed the Physical Activity Questionnaire for Adolescents (PAQ-A) as a measure of physical activity behaviour. Hierarchical regression analyses showed that attitude and perceived behavioural control jointly accounted for 25% of the variance in intention (p = 0.0001). Perceived behavioural control emerged as the only significant predictor of physical activity behaviour and explained 3.7% of the variance (p = 0.001). Therefore, attitude and PBC successfully predicts intention towards physical activity and PBC predicts physical activity behaviour in British adolescents from lower-than-average socio-economic backgrounds.
Copyright © 2011 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21820730     DOI: 10.1016/j.adolescence.2011.07.017

Source DB:  PubMed          Journal:  J Adolesc        ISSN: 0140-1971


  2 in total

1.  Factors that influence dietary behavior toward iron and vitamin D consumption based on the theory of planned behavior in Iranian adolescent girls.

Authors:  Ali Alami; Seyedeh Belin Tavakoly Sany; Elaheh Lael-Monfared; Gordon A Ferns; Maryam Tatari; Zahra Hosseini; Alireza Jafari
Journal:  Nutr J       Date:  2019-02-06       Impact factor: 3.271

2.  Using Theory of Planned Behavior to Predict the Physical Activity of Children: Probing Gender Differences.

Authors:  Lijuan Wang; Lin Wang
Journal:  Biomed Res Int       Date:  2015-11-16       Impact factor: 3.411

  2 in total

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