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The Importance of Supporting Autonomy and Perceived Competence in Facilitating Long-Term Tobacco Abstinence

  • Rapid Communication
  • Published:
Annals of Behavioral Medicine

Abstract

Background

The Public Health Service (PHS) Guideline for Treating Tobacco Use and Dependence (Fiore et al. 2000) recommends supporting autonomy and perceived competence to facilitate tobacco abstinence.

Purpose

The aim of the study was to evaluate the effectiveness of an intensive tobacco-dependence intervention based on self-determination theory (SDT) and intended to support autonomy and perceived competence in facilitating long-term tobacco abstinence.

Methods

One thousand and six adult smokers were recruited into a randomized cessation–induction trial. Community care participants received cessation pamphlets and information on local treatment programs. Intervention participants received the same materials and were asked to meet four times with counselors over 6 months to discuss their health in a manner intended to support autonomy and perceived competence. The primary outcome was 24-month prolonged abstinence from tobacco. The secondary outcome was 7-day point prevalence tobacco abstinence at 24 months postintervention.

Results

Smokers in the intervention were more likely to attain both tobacco abstinence outcomes and these effects were partially mediated by change in both autonomous self-regulation and perceived competence from baseline to 6 months. Structural equation modeling confirmed the SDT model of health-behavior change in facilitating long-term tobacco abstinence.

Conclusions

An intervention based on SDT and consistent with the PHS Guideline, which was intended to support autonomy and perceived competence, facilitated long-term tobacco abstinence.

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Notes

  1. In all SEM analyses, a tetrachoric correlation matrix was used as input for the estimation of the models because of the inclusion of the dichotomous long-term tobacco abstinence variable.

  2. The measurement model was saturated, or just-identified, and thus had zero degrees of freedom. Therefore, all incremental fit indices [e.g., Comparative Fit Index (CFI)] and χ 2 yielded perfect fit (i.e., CFI = 1.00, χ 2 = 0), and other indices (e.g., nonnormed fit index (NNFI), root mean square error of approximation (RMSEA)) could not be computed, so fit indices will not be reported.

  3. The direct effect model was also saturated, or just-identified.

References

  1. Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. J Am Med Assoc. 2004; 291: 1238–1245.

    Article  Google Scholar 

  2. Doll R, Peto R, Boreham J, Sutherland I. Mortality from cancer in relation to smoking: 50 years observations on British doctors. Brit J Cancer. 2005; 92: 426–429.

    PubMed  CAS  Google Scholar 

  3. Anthonisen NR, Skeans MA, Wise RA, et al. The effects of a smoking cessation intervention on 14.5-year mortality: A randomized clinical trial. Ann Intern Med. 2005; 142: 233–239.

    PubMed  Google Scholar 

  4. Mohiuddin SM, Mooss AN, Hunter CB, Grollmes TL, Cloutier DA, Hilleman DE. Intensive smoking cessation intervention reduces mortality in high-risk smokers with cardiovascular disease. Chest. 2007; 131: 446–452.

    Article  PubMed  Google Scholar 

  5. Fiore M, Bailey W, Cohen S, et al. Treating Tobacco Use and Dependence. Rockville, MD: U.S. Department of Health and Human Services (DHHS); 2000.

    Google Scholar 

  6. Beauchamp TL, Childress JF. Principles of Biomedical Ethics, 5th ed. New York: Oxford University Press; 2001.

    Google Scholar 

  7. Woolf SH, Chan EC, Harris R, et al. Promoting informed choice: Transforming health care to dispense knowledge for decision making. Ann Intern Med. 2005; 143: 293–300.

    PubMed  Google Scholar 

  8. Deci EL, Ryan RM. The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychol Inq. 2000; 11: 227–268.

    Article  Google Scholar 

  9. Niemiec CP, Ryan RM, Deci EL. Self-determination theory and the relation of autonomy to self-regulatory processes and personality development. In: Hoyle RH, ed. Handbook of Personality and Self-regulation. Malden, MA: Blackwell; 2009: in press.

  10. Williams GC, Deci EL. Internalization of biopsychosocial values by medical students: A test of self-determination theory. J Pers Soc Psychol. 1996; 70: 767–779.

    Article  PubMed  CAS  Google Scholar 

  11. Williams GC, Gagné M, Ryan RM, Deci EL. Facilitating autonomous motivation for smoking cessation. Health Psychol. 2002; 21: 40–50.

    Article  PubMed  Google Scholar 

  12. Williams GC, McGregor HA, Zeldman A, Freedman ZR, Deci EL. Testing a self-determination theory process model for promoting glycemic control through diabetes self-management. Health Psychol. 2004; 23: 58–66.

    Article  PubMed  Google Scholar 

  13. Ryan RM, Patrick H, Deci EL, Williams GC. Facilitating health behaviour change and its maintenance: Interventions based on self-determination theory. The European Health Psychologist. 2008; 10: 2–5.

    Google Scholar 

  14. Williams GC, McGregor HA, Sharp D, et al. Testing a self-determination theory intervention for motivating tobacco cessation: Supporting autonomy and competence in a clinical trial. Health Psychol. 2006; 25: 91–101.

    Article  PubMed  Google Scholar 

  15. Williams GC, McGregor HA, Sharp D, et al. A self-determination multiple risk intervention trial to improve smokers’ health. J Gen Intern Med. 2006; 21: 1288–1294.

    Article  Google Scholar 

  16. National Cholesterol Education Program (NCEP). Cholesterol Lowering in the Patient with Coronary Heart Disease: Physician Monograph. NIH Publication No. 97-3794. Bethesda, MD: Institutes of Health, National Heart, Lung, and Blood Institute; 1997.

  17. National Cancer Institute, National Institutes of Health. Clearing the Air: Quit Smoking Today. NIH Publication No. 03–1647; April, 2003. Accessed online: http://www.smokefree.gov/pubs/clearing_the_air.pdf

  18. Grundy SM, Pasternak R, Greenland P, Smith S Jr, Fuster V. Assessment of cardiovascular risk by use of multiple-risk-factor assessment equations: A statement for healthcare professionals from the American Heart Association and the American College of Cardiology. Circulation. 1999; 100: 1481–1492.

    PubMed  CAS  Google Scholar 

  19. U.S. Department of Health and Human Services. The benefits of smoking cessation: A report from the Surgeon General. Publication No. (CDC) 90-8416. Atlanta, GA: U.S. Department of Human Services, Public Health Service, Centers for Disease Control, Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; DHHS; 1990.

  20. Niemiec CP, Ryan RM, Deci EL, Williams GC. Aspiring to physical health: The role of aspirations for physical health in facilitating long-term tobacco abstinence. Patient Educ Couns. 2009; 74: 250–257.

    Article  PubMed  Google Scholar 

  21. Hughes JR, Keely JP, Niaura RS, Ossip-Klein DJ, Richmond RL, Swan GE. Measures of abstinence in clinical trials: Issues and recommendations. Nico Tob Res. 2003; 5: 13–25.

    Google Scholar 

  22. Pierce JP, Gilpin EA. A minimum 6-month prolonged abstinence should be required for evaluating smoking cessation trials. Nico Tob Res. 2003; 5: 151–153.

    Article  Google Scholar 

  23. Baron RM, Kenny DA. The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986; 51: 1173–1182.

    Article  PubMed  CAS  Google Scholar 

  24. MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V. A comparison of methods to test mediation and other intervening variable effects. Psychol Methods. 2002; 7: 83–104.

    Article  PubMed  Google Scholar 

  25. Holmbeck GN. Toward terminological, conceptual, and statistical clarity in the study of mediators and moderators: Examples from the child-clinical and pediatric psychology literatures. J Consult Clin Psych. 1997; 65: 599–610.

    Article  CAS  Google Scholar 

  26. Maciosek MV, Edwards NM, Coffield AB, et al. Priorities among effective clinical preventive services: Methods. Am J Prev Med. 2006; 31: 90–96.

    Article  PubMed  Google Scholar 

  27. Woolf SH. Potential health and economic consequences of misplaced priorities. J Am Med Assoc. 2007; 297: 523–526.

    Article  CAS  Google Scholar 

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Geoffrey C. Williams M.D., Ph.D..

Additional information

Trial Registration. ClinicalTrials.gov number, NCT00178685.

This research was supported by grants R01-CA106668 from the National Cancer Institute and by R01-MH59594 that was cofunded by the National Institute of Mental Health and the National Cancer Institute. Requests for reprints may be made to Geoffrey C. Williams, M.D., Ph.D., University of Rochester, R.C. Box 270266, Rochester, NY 14627-0266.

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Williams, G.C., Niemiec, C.P., Patrick, H. et al. The Importance of Supporting Autonomy and Perceived Competence in Facilitating Long-Term Tobacco Abstinence. ann. behav. med. 37, 315–324 (2009). https://doi.org/10.1007/s12160-009-9090-y

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  • DOI: https://doi.org/10.1007/s12160-009-9090-y

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