Background: Cigarettes share a high rate of co-use with alcohol, particularly among young adults. Studies have demonstrated greater perceived pleasure from smoking cigarettes when drinking alcohol. However, little is known about co-use of electronic cigarettes (e-cigs) and alcohol. The current study sought to compare extent of use and perceived pleasure from cigarettes and e-cigs when drinking alcohol.Methods: Young adult bar patrons in California cities (San Diego, Los Angeles, and San Francisco) were recruited in 2015-16 using randomized time-location sampling. Participants completed cross-sectional surveys in bars, reporting the percent of cigarette smoking/e-cig use that occurred under the influence of alcohol, and reported if pleasure from smoking cigarettes/using ecigs changed when drinking alcohol. Analyses are limited to participants reporting current (past 30-day) use of cigarettes, e-cigs, and alcohol (N=269; M age = 24.1; 40.1% female, 36.1% Non-Hispanic White).Results: Participants reported a greater percentage of cigarette smoking compared to e-cig use under the influence of alcohol (cigarettes M=63.6%; e-cigs M=46.7%; p<.001). Participants also reported increased pleasure both from smoking cigarettes (M=3.9; [compared to midpoint of scale 3 -"no change"] p<.001) and using e-cigs (M=3.3; p<.001) when drinking alcohol. The increase in pleasure was more pronounced for cigarettes compared to e-cigs (p<.001).
Digital smoking cessation interventions frequently use automated delivery of content. Integrating a counselor may improve participant engagement and facilitate health behavior change. We investigated engagement with live counseling compared to automated content in a Facebook intervention and the impact of engagement on smoking cessation outcomes. The Tobacco Status Project is a 90-day smoking cessation intervention for young adults utilizing automated posts and weekly sessions with a live counselor in Facebook groups tailored to readiness to quit (precontemplation, contemplation, preparation). Data came from the treatment group of a randomized trial. Post-level analyses investigated participant engagement (number of comments) by post type (e.g., counselor posts or automated posts based on transtheoretical model of behavior change, clinical practice guidelines, motivational interviewing), stratified by readiness to quit. Participant-level analyses examined whether extent of participant engagement with counselor posts predicted abstinence at 3 months. We analyzed data of N ϭ 251 participants and N ϭ 2,941 posts, 11% of which were live counselor initiated, and together generated 8,403 comments. Post-level analyses found that compared to the most engaging automated content (motivational content for precontemplation and contemplation, informational content for preparation), live counseling generated more engagement among participants in preparation, similar engagement in precontemplation, and less engagement in contemplation. Extent of live counseling participation predicted 3-month verified abstinence (adjusted OR ϭ 1.10, 95% CI [1.02, 1.20]). In digital interventions, counselor contact may be beneficial in addition to automated posts at yielding engagement and abstinence; however, participants engage differently with counseling according to readiness to quit.
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