Purpose: This prospective observational study examined the association of socioecological factors with quitting behavior among US adolescents who exclusively use electronic cigarettes (e-cigarettes).
Methods: We used data from past 30-day adolescent exclusive e-cigarette users (n = 243) participating in Wave 3 of the Population Assessment of Tobacco and Health study, who were then followed-up with approximately 12 months later for Wave 4. Weighted unadjusted and adjusted multivariate logistic regression models and structural equation modeling were performed to analyze the data.
Results: Adolescents were significantly less likely to quit e-cigarettes if they perceived that nicotine in e-cigarettes was "slightly/somewhat harmful" to health (adjusted odds ratio [aOR] = 0.38; 95% confidence interval [CI]: 0.16-0.90, p = .02). Similarly, adolescents who reported that someone else in their home owned an e-cigarette (aOR = 0.43 [95% CI: 0.19-0.94], p = .03) or important people in their life used e-cigarettes (aOR = 0.45 [95% CI: 0.21-0.95], p = .03) were significantly less likely to quit e-cigarettes. The structural equation modeling showed a direct significant relationship of individual-level (b = 0.206, p = .02) and interpersonal-level factors (b = 0.170, p = .04) with e-cigarette quitting behavior.
Discussion: Our findings suggest that individual-level (harm perception) and interpersonal-level (e-cigarette use at home and by important people) factors may play a significant role in e-cigarette quitting behavior among US adolescents.
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http://dx.doi.org/10.1016/j.jadohealth.2022.07.001 | DOI Listing |
Subst Use Misuse
January 2025
Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Background: Electronic cigarettes (e-cigs) contain fewer hazardous ingredients than traditional cigarettes, yet they still pose health hazards. This study evaluates experienced e-cig users' quitting interest and Quitline utilization.
Methods: In a 2012 (Wave 1) baseline survey, 1875 (28.
Cochrane Database Syst Rev
January 2025
Department of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA.
Rationale: There is limited guidance on the best ways to stop using nicotine-containing vapes (otherwise known as e-cigarettes) and ensure long-term abstinence, whilst minimising the risk of tobacco smoking and other unintended consequences. Treatments could include pharmacological interventions, behavioural interventions, or both.
Objectives: To conduct a living systematic review assessing the benefits and harms of interventions to help people stop vaping compared to each other or to placebo or no intervention.
Nicotine Tob Res
January 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Introduction: We set out to better understand patterns of smoking abstinence and relapse in trials of e-cigarettes for smoking cessation.
Methods: Secondary analysis of studies from a Cochrane review. Studies had to test any type of e-cigarette intervention for smoking cessation.
Nicotine Tob Res
December 2024
Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Introduction: Prior research suggests that the e-Cigarette Wisconsin Inventory of Smoking Dependence Motives (e-WISDM) distinguishes primary (e-PDM) and secondary dependence (e-SDM), however, there is little research on these e-WISDM dimensions and prior research comprised dual users (using cigarettes and e-cigarettes) and those using older generations of e-cigarettes.
Methods: Those exclusively using contemporary e-cigarettes (N = 164) completed the e-WISDM and a laboratory self-administration session and rated pre-use expectancies and post-use experiences.
Results: Only a 1-factor model limited to the primary scales (Automaticity, Tolerance, Craving, Loss of Control) achieved good model fit.
Introduction: Broad-reaching, effective e-cigarette cessation interventions are needed.
Study Design: This remote, randomized clinical trial tested a mHealth program and nicotine replacement therapy (NRT) for young adult vaping cessation.
Setting/participants: Social media was used from 2021 to 2022 to recruit 508 young adults (aged 18-24 years) in the U.
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