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Background and Aims: Electronic nicotine delivery systems (ENDS) can help people to quit smoking combusted tobacco products (CTPs), but most current and former smokers who use ENDS also intend to quit ENDS. This analysis measured whether ENDS cessation among current and former CTP smokers is associated with changes in CTP smoking or abstinence. Design: Regression analysis of a nationally representative cohort from waves 4 (W4) and 5 (W5) of the Population Assessment of Tobacco and Health Study (December 2016–November 2019). Setting: United States. Participants: Adults (n = 1525) who reported W4 current or former use of ≥ 1 CTP and either currently using ENDS or quitting ENDS in the past year were included. Measurements Logistic regressions were performed separately among W4 current and former CTP smokers, controlling for demographic and tobacco use characteristics. First, we analyzed proximal outcomes by testing the association between ENDS quit status and CTP abstinence, both occurring during W5. Next, we analyzed long‐term outcomes by testing W4 ENDS quit status as a predictor of CTP abstinence at W5, approximately 1 year later. Findings Among W4 current CTP smokers, there was no evidence that CTP smoking abstinence differed between those quitting or continuing using ENDS, both in our proximal [adjusted odds ratio (aOR) = 1.37, 95% confidence interval (CI) = 0.90, 2.10] and long‐term (aOR = 0.90, 95% CI = 0.52, 1.53) analyses. Among former CTP smokers, quitting ENDS was associated with less CTP abstinence in our proximal analysis (aOR = 0.42, 95% CI = 0.20, 0.89), but there was no evidence that CTP smoking abstinence differed between those quitting or continuing using ENDS in our long‐term analysis (aOR = 0.86, 95% CI = 0.44, 1.67). Conclusions: There is no evidence that ENDS cessation is associated with CTP abstinence among current smokers, although mixed findings among former smokers indicate a possible risk for relapse to smoking associated with quitting ENDS. [ABSTRACT FROM AUTHOR]

Background: Mass media substance use prevention efforts target addiction perceptions in young people. This study examined youth and young adults' (YAs) perceived addictiveness across several substances and the associations between addiction perceptions and substance use. Methods: Data were collected in 2019 in an online cohort study of Vermonters aged 12–25. Latent class analyses grouped participants by perceived addictiveness of nicotine, caffeine, alcohol, marijuana, cigarettes, electronic vapor products (EVPs), and opioids. Bivariate multinomial logistic and modified Poisson regression estimated associations between sociodemographics, substance use correlates, and subsequent use across latent classes. Results: Four latent classes captured addiction perceptions: high perceived addictiveness of EVPs, cigarettes, marijuana, and alcohol (Class 1: n = 317; 31.3%), low perceived addictiveness of marijuana, alcohol, and caffeine (Class 2: n = 151; 14.3%), low perceived addictiveness of marijuana (Class 3: n = 581; 46.5%), and low perceived addictiveness of nicotine, cigarettes, and EVPs (Class 4: n = 83; 7.9%). For each year increase in age, there was a 36% increased likelihood of being in Class 2 (vs. Class 1) and a 148% increased likelihood of belonging to Class 3 (vs. Class 1). Low perceived addictiveness classes were associated with ever and past 30-day marijuana and alcohol use and predicted past 30-day alcohol use at three-month follow-up. Membership in Classes 2 and 3 also predicted past 30-day marijuana use at Wave 3. Discussion: The strong association between age and latent classes defined by low perceived addictiveness suggests age group differences in addiction perceptions. Findings suggest that YAs may benefit from prevention messaging on addictiveness. [ABSTRACT FROM AUTHOR]

A growing number of adults use more than one tobacco product, with dual use of cigarettes and e-cigarettes being the most common combination. Monitoring sex disparities in tobacco use is a public health priority. However, little is known regarding whether dual users differ by sex. Data came from Waves 4–6 (12/2016–11/2021) of the Population Assessment of Tobacco and Health Study, a US nationally-representative longitudinal survey. This analysis included current adult dual users of cigarettes and e-cigarettes. We used weighted generalized estimating equations to assess the association between sex and (1) making a cigarette quit attempt (n = 1882 observations from n = 1526 individuals) and (2) smoking cessation (n = 2081 observations from n = 1688 individuals) across two wave pairs, adjusting for age, education, ethnicity, time-to-first cigarette after waking, and e-cigarette use frequency. Among US dual users, 14.1% (95% Confidence Intervals [Cl] = 11.9–16.4) of females and 23.4% (20.0–26.9) of males were young adults (aged 18–24), 11.7% (9.2–14.2) of females and 14.4% (11.6–17.2) of males had

Introduction: Identifying theory-based predictors of electronic nicotine product (ENP) quit attempts and cessation can guide the development of effective vaping cessation interventions, which are currently limited. This study examined predictors of ENP quit attempts and cessation among adult ENP users.Methods: Using data from wave 3 (W3; 2015-2016) current established ENP users in the Population Assessment of Tobacco and Health study, we used multivariable logistic regression to identify predictors of (i) wave 4 (W4; 2016-2018) quit attempts (unweighted n = 1,135); and (ii) W4 cessation among those who made a quit attempt (unweighted n = 610). Predictors included Social Cognitive Theory (SCT)-based cognitive (interest in quitting, self-efficacy to quit, outcome expectancies, risk perception), behavioral (smoking status, and use of combustibles, non-combustibles, cannabis, and alcohol), and socio-environmental (perceived disapproval, household rules, exposure to advertising) factors.Results: Between W3 and W4, 51.7% of W3 ENP users made a quit attempt. Among those who tried quitting, 68.4% stopped using ENPs. SCT-based predictors of ENP quit attempts included higher interest in quitting ENPs (aOR = 1.18), greater self-efficacy to quit ENPs (aOR = 1.31), and currently using cigarettes (vs non-smoker; aOR = 1.71), non-combustibles (aOR = 2.25), and cannabis (aOR = 1.80). Predictors of ENP cessation included greater self-efficacy to quit ENPs (aOR = 1.33), greater perceived risk of ENPs (aOR = 1.35), and being a current smoker (vs non-smoker; aOR = 3.28).Conclusions: ENP cessation interventions should address cognitive factors, particularly self-efficacy, as it predicted quit attempts and cessation. Cigarette smoking among dual users should be monitored and addressed to ensure that those who quit using ENPs do not maintain cigarette use. [ABSTRACT FROM AUTHOR]