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    Predicting breakfast consumption: A comparison of the theory of planned behaviour and the health action process approach

    195295_102900_mullan__Wong__Kothe___MacCann.pdf (190.6Kb)
    Access Status
    Open access
    Authors
    Mullan, Barbara
    Wong, C.
    Kothe, E.
    Maccann, C.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Mullan, Barbara and Wong, Cara and Kothe, Emily and Maccann, Carolyn. 2013. Predicting breakfast consumption: A comparison of the theory of planned behaviour and the health action process approach. British Food Journal. 115 (11): pp. 1638-1657.
    Source Title
    British Food Journal
    DOI
    10.1108/BFJ-05-2011-0127
    ISSN
    0007-070X
    Remarks

    This article is ©2013 Emerald Group Publishing and permission has been granted for this version to appear here - http://espace.library.curtin.edu.au/R. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.

    URI
    http://hdl.handle.net/20.500.11937/21857
    Collection
    • Curtin Research Publications
    Abstract

    Purpose: Breakfast consumption is associated with a range of beneficial health outcomes including improved overall diet quality, lower BMI, decreased risk of chronic disease, and improved cognitive function. Although there are many models of health and social behaviour, there is a paucity of research utilising these in breakfast consumption and very few studies that directly compare these models. This study aims to compare the theory of planned behaviour (TPB) and the health action process approach (HAPA) in predicting breakfast consumption. Design/methodology/approach: University students (N=102; M=19.5 years) completed a questionnaire measuring demographics, TPB and HAPA motivational variables, and intentions. Behaviour and HAPA volitional variables were measured four weeks later. Findings: Using structural equation modelling, it was found that the TPB model was a superior fit to the data across a range of model indices compared to the HAPA. Both models significantly predicted both intentions and behaviour at follow up; however, the TPB predicted a higher proportion of the variance in breakfast consumption (47.6 per cent) than the HAPA (44.8 per cent). Further, the volitional variables did not mediate the intention-behaviour gap, and the data were not an adequate statistical fit to the model compared to the TPB.Research limitations/implications: The results support the use of the TPB and show that some aspects of the HAPA are useful in predicting breakfast consumption, suggesting that risk perception and self-efficacy be targeted in interventions to increase behaviour. The volitional variables did not appear to mediate breakfast consumption indicating that intention is still the strongest predictor, at least in this behaviour. Originality/value: The current study is the first to compare the TPB and HAPA in predicting breakfast consumption.

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