Facilitating autonomous motivation for smoking cessation.

Williams, Geoffrey G., Gagné, Marylène, Ryan, Richard M., Deci, Edward L.·2002·Health Psychology
DOI 10.1037//0278-6133.21.1.40

Abstract

Physicians used either an autonomy-supportive or a controlling interpersonal style to counsel smokers based on National Cancer Institute guidelines. Physician autonomy support was rated from audiotapes, and patients' perceived competence and autonomous motivation for quitting were self-reported on questionnaires. Validated point prevalences for 6, 12, and 30 months and for continuous cessation were examined. The intervention did not have a direct effect on quit rates; however, structural equation modeling supported the self-determination process model of smoking cessation. The model indicated that the autonomy-supportive intervention was rated as more autonomy supportive, that rated autonomy support predicted autonomous motivation, and that autonomous motivation predicted cessation at all points in time. Perceived competence contributed independent variance to cessation only at 6 months.

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    Hiscock, Rosemary, Bauld, Linda, Amos, Amanda, Fidler, Jennifer A., Munafò, Marcus · 2012 · Annals of the New York Academy of Sciences
  3. A Motivational Model of Video Game Engagement
    Przybylski, Andrew K., Rigby, C. Scott, Ryan, Richard M. · 2010 · Review of General Psychology
  4. The role of autonomy support and autonomy orientation in prosocial behavior engagement
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  5. A Meta-analysis of the Effectiveness of Intervention Programs Designed to Support Autonomy
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Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Facilitating autonomous motivation for smoking cessation. https://app.cochat.ai/papers/10.1037//0278-6133.21.1.40
The paper
Williams, G. G., Gagné, M., Ryan, R. M., & Deci, E. L. (2002). Facilitating autonomous motivation for smoking cessation. Health Psychology. https://doi.org/10.1037//0278-6133.21.1.40

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.