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Self-Reported Exposure to Policy and Environmental Influences on Smoking Cessation and Relapse: A 2-Year Longitudinal Population-based Study

Author

Listed:
  • James Nonnemaker

    (RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA)

  • James Hersey

    (RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA)

  • Ghada Homsi

    (RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA)

  • Andrew Busey

    (RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA)

  • Andrew Hyland

    (Roswell Park Cancer Institute, Department of Health Behavior, Elm and Carlton Streets, Buffalo, NY 14263, USA)

  • Harlan Juster

    (Corning Tower, Room 710, New York State Department of Health, Empire State Plaza, Albany, NY 12237, USA)

  • Matthew Farrelly

    (RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA)

Abstract

Although most smokers want to quit, the long-term success rate of quit attempts remains low; research is needed to understand the policy and environmental influences that can increase the success of cessation efforts. This paper uses regression methods to investigate self-reported exposure to policy and environmental influences on quit attempts, maintenance of a quit attempt for at least 6 months, and relapse in a longitudinal population-based sample, the New York Adult Cohort Survey, followed for 12 months ( N = 3,261) and 24 months ( N = 1,142). When policy or environmental influence variables were assessed independently of other policy or environmental influence variables, many were significant for at least some of the cessation outcomes. In the full models that included a full set of policy or environmental influence variables, many significant associations became nonsignificant. A number of policies may have an influence on multiple cessation outcomes. However, the effect varies by cessation outcome, and statistical significance is influenced by model specification.

Suggested Citation

  • James Nonnemaker & James Hersey & Ghada Homsi & Andrew Busey & Andrew Hyland & Harlan Juster & Matthew Farrelly, 2011. "Self-Reported Exposure to Policy and Environmental Influences on Smoking Cessation and Relapse: A 2-Year Longitudinal Population-based Study," IJERPH, MDPI, vol. 8(9), pages 1-18, September.
    • Handle: RePEc:gam:jijerp:v:8:y:2011:i:9:p:3591-3608:d:13836
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    References listed on IDEAS

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    1. Biener, L. & Hamilton, W.L. & Siegel, M. & Sullivan, E.M., 2010. "Individual, Social-normative, and policy predictors of smoking cessation: A multilevel longitudinal analysis," American Journal of Public Health, American Public Health Association, vol. 100(3), pages 547-554.
    2. Niederdeppe, J. & Fiore, M.C. & Baker, T.B. & Smith, S.S., 2008. "Smoking-cessation media campaigns and their effectiveness among socioeconomically advantaged and disadvantaged populations," American Journal of Public Health, American Public Health Association, vol. 98(5), pages 916-924.
    3. Mullen, Patricia D. & Hersey, James C. & Iverson, Donald C., 1987. "Health behavior models compared," Social Science & Medicine, Elsevier, vol. 24(11), pages 973-981, January.
    4. Thomas Land & Donna Warner & Mark Paskowsky & Ayesha Cammaerts & LeAnn Wetherell & Rachel Kaufmann & Lei Zhang & Ann Malarcher & Terry Pechacek & Lois Keithly, 2010. "Medicaid Coverage for Tobacco Dependence Treatments in Massachusetts and Associated Decreases in Smoking Prevalence," PLOS ONE, Public Library of Science, vol. 5(3), pages 1-6, March.
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