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  • Title: Predictive value of the transtheoretical model to smoking cessation in hospitalized patients with cardiovascular disease.
    Author: Chouinard MC, Robichaud-Ekstrand S.
    Journal: Eur J Cardiovasc Prev Rehabil; 2007 Feb; 14(1):51-8. PubMed ID: 17301627.
    Abstract:
    BACKGROUND: Several authors have questioned the transtheoretical model. Determining the predictive value of each cognitive-behavioural element within this model could explain the multiple successes reported in smoking cessation programmes. The purpose of this study was to predict point-prevalent smoking abstinence at 2 and 6 months, using the constructs of the transtheoretical model, when applied to a pooled sample of individuals who were hospitalized for a cardiovascular event. DESIGN: The study follows a predictive correlation design. METHODS: Recently hospitalized patients (n=168) with cardiovascular disease were pooled from a randomized, controlled trial. Independent variables of the predictive transtheoretical model comprise stages and processes of change, pros and cons to quit smoking (decisional balance), self-efficacy, and social support. These were evaluated at baseline, 2 and 6 months. RESULTS: Compared to smokers, individuals who abstained from smoking at 2 and 6 months were more confident at baseline to remain non-smokers, perceived less pros and cons to continue smoking, utilized less consciousness raising and self-re-evaluation experiential processes of change, and received more positive reinforcement from their social network with regard to their smoke-free behaviour. Self-efficacy and stages of change at baseline were predictive of smoking abstinence after 6 months. Other variables found to be predictive of smoking abstinence at 6 months were an increase in self-efficacy; an increase in positive social support behaviour and a decrease of the pros within the decisional balance. CONCLUSIONS: The results partially support the predictive value of the transtheoretical model constructs in smoking cessation for cardiovascular disease patients.
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