Recent studies suggest that e-cigarette use among youth may be associated with increased risk of cigarette initiation. The goal of this study was to test the hypothesis that use of e-cigarettes among young adult non-daily cigarette smokers would be associated with increased cigarette consumption. Participants (n = 391; 52% male) were 18-24 year-old non-daily cigarette smokers recruited from across California. Cigarette and e-cigarette use were assessed online or via mobile phone every three months for one year between March 2015 and December 2016. Longitudinal negative binomial regression models showed that, adjusted for propensity for baseline e-cigarette use, non-daily smokers who reported more frequent use of e-cigarettes upon study entry reported greater quantity and frequency of cigarette smoking at baseline and greater increases in cigarette quantity over 12 months than non-daily cigarette only smokers (ps < .01). During the 12 months of assessment, more consistent consumption of e-cigarettes was associated with greater quantity and frequency of cigarette use (ps < .01); these effects did not vary over time. Findings suggest that among non-daily smokers, young adults who use e-cigarettes tend to smoke more cigarettes and to do so more frequently. Such individuals may be at greater risk for chronic tobacco use and dependence.

E-cigarettes have been suggested as a strategy for reducing harm from cigarettes. While e-cigarettes could be a less-harmful alternative to cigarettes for those trying to quit, there may also be costs that outweigh any benefits of reduction. The purpose of the present study was to prospectively investigate perceptions of e-cigarettes, cigarette smoking intentions and their associations with e-cigarette use over time. Community participants (n = 348, 57% male) aged 18–24 were recruited for a longitudinal study of tobacco use. Inclusion criteria included non-daily cigarette smoking for ≥ 6 months with no history of daily smoking. Participants reported e-cigarette use over the past 14 days at baseline and for the past 9 days at 3, 6, and 9 months. Assessments were completed online or via mobile phone. Across the 4 assessments, 22–33% of participants reported recent e-cigarette use. Intent to quit smoking cigarettes and intent to maintain smoking were unrelated to e-cigarette frequency. E-cigarette frequency was positively associated with perceiving e-cigarettes as less harmful than cigarettes and more positive e-cigarette expectancies (ps < .05). E-cigarette use was also more frequent among those who smoked cigarettes frequently and who used e-cigarettes to circumvent cigarette bans more often (ps < .05). The combination of these findings suggests that, at least among non-daily smoking young adults, other factors may influence frequency of e-cigarette use more than harm reduction. Findings instead seem consistent with the hypothesis that e-cigarettes are more often used to complement ongoing cigarette smoking.

Individuals with mental health and substance use disorders smoke at rates two to four times higher than the general population and account for over half of smoking-related deaths. Building capacity of behavioral health providers to provide smoking cessation treatment may decrease smoking prevalence in these groups. The present study evaluated a statewide rollout of a capacity building training program to teach behavioral health providers to deliver a manualized smoking cessation group intervention for patients with mental health and substance use disorders. Behavioral health treatment providers (N = 333) participated in a day-long training. Pretraining and posttraining evaluations were conducted on the day of training to assess changes in confidence, attitudes, and knowledge regarding smoking cessation and possible barriers to implementing the smoking cessation curriculum in treatment programs. These constructs were reassessed in follow-up surveys conducted online 2 and 6 months posttraining. A subset of providers participated in follow-up telephone calls to discuss implementation of smoking cessation programming. Posttraining evaluations indicated that trainees' confidence, attitudes, and knowledge of smoking interventions improved. Follow-up surveys indicated that these gains decreased but were maintained above baseline. Over one-half of survey respondents reported taking at least one implementation step. Interviewees reported that agency and staff-level barriers such as difficulty coordinating a group, staff turnover, and inadequate time with clients precluded more widespread implementation. Training for behavioral health providers is effective in improving confidence, attitudes, and knowledge regarding smoking cessation interventions. Consistent implementation requires ongoing support and agency problem solving to address common barriers.

Background. The risks of polytobacco use among young adults are unclear because we know relatively little about the consistency of multiproduct patterns over time and how these patterns impact cigarette smoking. The purpose of this study was to examine changes in multiple tobacco product use over time and associations with cigarette smoking quantity.Methods. Participants (n=335; 55% male) were 18–24 years old non-daily cigarette smokers living in California. Polytobacco use patterns were assessed quarterly for 2 years.Results. Transition analyses showed that while the number of products that had been used recently was volatile, the most common pattern was stability between timepoints. A longitudinal negative binomial regression model indicated that those who used more non-cigarette products also reported greater cigarette quantity. The strength of this relationship increased over time.Conclusions. Findings suggest that individuals who use more tobacco products are at greater risk for increased cigarette smoking and maintaining a multiple product use pattern.