Meme Wang-Schweig1, Leonard A Jason2, Ed Stevens3, Jessica Chaparro4. 1. Meme Wang-Schweig, Research Assistant Professor, Division of Community Health Sciences, University of Illinois at Chicago School of Public Health, Chicago, IL;, Email: lwang33@uic.edu. 2. Leonard Jason, Director, Center for Community Research, DePaul University, Chicago, IL. 3. Ed Stevens, Senior Project Director, Center for Community Research, Chicago, IL. 4. Jessica Chaparro, Research Assistant, Center for Community Research, Chicago, IL.
Abstract
Objectives: In this study, we provide estimates of the prevalence of tobacco use among residents in Oxford House (OH) recovery homes. We explore predictors for smoking cessation on future intentions to quit tobacco use, such as self-efficacy, motivation to quit, and level of nicotine dependence. We focus on examining smoking-related differences between 2 groups of tobacco users: (1) residents who only vape, and (2) residents who only smoke or who smoke and vape (ie, dual users). Methods: Data come from a research project examining the social networks of residents in OH homes at Wave 5 (N = 270) when questions were asked about tobacco use and cessation. We conducted multiple logistic regression analysis to assess the predictors on intentions to quit tobacco in the next 6 months. Results: Among residents, 60.4% report that they either smoke cigarettes, vape, or use both products. The odds of quitting are 92.5% lower for residents who only use e-cigarettes than for those who only smoke cigarettes or who smoke cigarettes and vape. Motivation to quit was associated with more than double the odds for self-efficacy on intentions to quit with odds ratios of 3.23 (95% CI: 1.81, 5.78; p = .00) and 1.47 (95% CI: 1.05, 2.07; p = .03) respectively. Conclusion: The high prevalence of smoking and vaping in this population makes it an important target for interventions.
Objectives: In this study, we provide estimates of the prevalence of tobacco use among residents in Oxford House (OH) recovery homes. We explore predictors for smoking cessation on future intentions to quit tobacco use, such as self-efficacy, motivation to quit, and level of nicotine dependence. We focus on examining smoking-related differences between 2 groups of tobacco users: (1) residents who only vape, and (2) residents who only smoke or who smoke and vape (ie, dual users). Methods: Data come from a research project examining the social networks of residents in OH homes at Wave 5 (N = 270) when questions were asked about tobacco use and cessation. We conducted multiple logistic regression analysis to assess the predictors on intentions to quit tobacco in the next 6 months. Results: Among residents, 60.4% report that they either smoke cigarettes, vape, or use both products. The odds of quitting are 92.5% lower for residents who only use e-cigarettes than for those who only smoke cigarettes or who smoke cigarettes and vape. Motivation to quit was associated with more than double the odds for self-efficacy on intentions to quit with odds ratios of 3.23 (95% CI: 1.81, 5.78; p = .00) and 1.47 (95% CI: 1.05, 2.07; p = .03) respectively. Conclusion: The high prevalence of smoking and vaping in this population makes it an important target for interventions.
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