Smoke-Free Policies and Smoking Cessation in the United States, 2003–2015

Andrea R. Titus, Lucie Kalousova, Rafael Meza, David T. Levy, James F. Thrasher, Michael R. Elliott, Paula M. Lantz and Nancy L. Fleischer
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Andrea R. Titus: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Lucie Kalousova: Department of Sociology, University of California-Riverside, Riverside, CA 92521, USA
Rafael Meza: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
David T. Levy: Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
James F. Thrasher: Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
Michael R. Elliott: Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
Paula M. Lantz: Gerald R. Ford School of Public Policy, University of Michigan, Ann Arbor, MI 48109, USA
Nancy L. Fleischer: Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA

IJERPH, 2019, vol. 16, issue 17, 1-12

Abstract: (1) Background: Smoking restrictions have been shown to be associated with reduced smoking, but there are a number of gaps in the literature surrounding the relationship between smoke-free policies and cessation, including the extent to which this association may be modified by sociodemographic characteristics. (2) Methods: We analyzed data from the Tobacco Use Supplement to the Current Population Survey, 2003–2015, to explore whether multiple measures of smoking restrictions were associated with cessation across population subgroups. We examined area-based measures of exposure to smoke-free laws, as well as self-reported exposure to workplace smoke-free policies. We used age-stratified, fixed effects logistic regression models to assess the impact of each smoke-free measure on 90-day cessation. Effect modification by gender, education, family income, and race/ethnicity was examined using interaction terms. (3) Results: Coverage by workplace smoke-free laws and self-reported workplace smoke-free policies was associated with higher odds of cessation among respondents ages 40–54. Family income modified the association between smoke-free workplace laws and cessation for women ages 25–39 (the change in the probability of cessation associated with coverage was most pronounced among lower-income women). (4) Conclusions: Heterogeneous associations between policies and cessation suggest that smoke-free policies may have important implications for health equity.

Keywords: tobacco control policies; impact analysis; policies reducing disparities in tobacco use; policy impacts on vulnerable populations (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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