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• Nonnemaker, J
• Hersey, J
• Homsi, G
• Busey, A
• Hyland, A
• Juster, H
• Farrelly, M
• [+] on Google Scholar
• Nonnemaker, J
• Hersey, J
• Homsi, G
• Busey, A
• Hyland, A
• Juster, H
• Farrelly, M
• [+] on PubMed
• Nonnemaker, J
• Hersey, J
• Homsi, G
• Busey, A
• Hyland, A
• Juster, H
• Farrelly, M

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Int. J. Environ. Res. Public Health 2011, 8(9), 3591-3608; doi:10.3390/ijerph8093591

Article

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

James Nonnemaker ^1,* , James Hersey ¹ , Ghada Homsi ¹ , Andrew Busey ¹ , Andrew Hyland ² , Harlan Juster ³  and Matthew Farrelly ¹

¹ RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709, USA ² Roswell Park Cancer Institute, Department of Health Behavior, Elm and Carlton Streets, Buffalo, NY 14263, USA ³ Corning Tower, Room 710, New York State Department of Health, Empire State Plaza, Albany, NY 12237, USA

* Author to whom correspondence should be addressed.

Received: 27 July 2011 / Accepted: 25 August 2011 / Published: 5 September 2011

(This article belongs to the Special Issue Tobacco Smoking: Public Health, Science and Policy)

Download PDF Full-Text [226 KB, uploaded 5 September 2011 10:56 CEST]

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.

Keywords: smoking cessation; nicotine replacement therapy; home smoking bans; quitlines; smoking cessation ads

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