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

James Nonnemaker, James Hersey, Ghada Homsi, Andrew Busey, Andrew Hyland, Harlan Juster and Matthew Farrelly
Additional contact information
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

IJERPH, 2011, vol. 8, issue 9, 1-18

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 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2011
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