ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023
Associations of Demographics, Dependence, and Biomarkers With Transitions in Tobacco Product Use in a Cohort of Cigarette Users and Dual Users of Cigarettes and E-cigarettes.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Effects of very low nicotine cigarettes, e-cigarettes, and nicotine patches on daily own-cigarette abstinence in a randomized controlled switching trial.Drug and alcohol dependence · 2025Trial
- Continuous associations of the brief Wisconsin Inventory of Smoking Dependence Motives with transitions between cigarette and e-cigarette use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Article
- Nicotine and tobacco transitions among US youth using electronic nicotine delivery systems (ENDS): Associations with frequency, nicotine dependence, and biomarkers of exposure.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Article
- Urinary Tobacco and Nicotine Exposure Biomarkers as Predictors of Transitions between Cigarette and e-Cigarette Use in the Exhale Longitudinal Cohort Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Observational
- Transitions in cigarette and ENDS use in the PATH Study: a multistate transition model analysis of adults in 2021-2022 compared to previous years.medRxiv : the preprint server for health sciences · 2025Article
- Changing patterns of cigarette and ENDS transitions in the USA: a multistate transition analysis of adults in the PATH Study in 2017-2019 vs 2019-2021.Tobacco control · 2025Article
- Validity of the E-cigarette Wisconsin Inventory of Smoking Dependence Motives in Exclusive E-cigarette Users: Evidence From a Laboratory Self-Administration Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- Repeated point-prevalence of switching away from smoking after electronic nicotine delivery systems (ENDS) purchase.Harm reduction journal · 2025Article
- Single and multiple tobacco product use among people with disabilities: Findings from the National Health Interview Survey, 2019-2022.Addictive behaviors · 2025Article
- Understanding the motivational mechanisms for smoking and vaping among dual users and exclusive smokers.Drug and alcohol dependence · 2024Article
- Changing patterns of cigarette and ENDS transitions in the USA: a multistate transition analysis of youth and adults in the PATH Study in 2015-2017 vs 2017-2019.Tobacco control · 2024Article
- Changing patterns of cigarette and ENDS transitions in the USA: a multistate transition analysis of adults in the PATH Study in 2017-2019 vs 2019-2021.medRxiv : the preprint server for health sciences · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
introductionIt is uncertain whether e-cigarettes facilitate smoking cessation in the real world. We aimed to understand whether and how transitions among cigarette, e-cigarette, and dual use are associated with sociodemographics, dependence measures, and biomarkers. AIMS AND
methodsWe followed 380 adult daily cigarette users and dual users every 2 months for up to 2 years. We estimated transition rates between noncurrent, cigarette-only, e-cigarette-only, and dual use states using a multistate transition model. We estimated univariable hazard ratios (HR) for demographics, dependence measures for cigarettes and e-cigarettes, biomarkers, spousal or partner behaviors, and other measures.
resultsWe estimated that participants transitioned from cigarette-only to e-cigarette-only through a period of dual use. Dual users ceased smoking (transitioning to e-cigarette-only use) at a greater rate than cigarette-only users did (HR 2.44, 95% CI: 1.49, 4.02). However, of the 60% of dual users estimated to transition to single product use in 1 year, 83% would transition to cigarette-only use and only 17% to e-cigarette-only use. E-cigarette dependence measures were generally associated with reduced e-cigarette cessation rather than enhanced cigarette cessation. E-cigarette users motivated by harm or toxicity reduction or because of restrictions on where or when they could smoke had reduced rates of smoking relapse. Cigarette dependence and spousal smoking were barriers to cigarette cessation for dual users, while using e-cigarettes first in the morning, motivation to quit smoking, and sensory, social, and emotional enjoyment of e-cigarettes (secondary dependence motives) were facilitators of smoking cessation among dual users.
conclusionsTobacco control policy and interventions may be informed by the barriers and facilitators of product transitions. IMPLICATIONS: Although e-cigarettes have the potential to promote smoking cessation, their real-world impact is uncertain. In this cohort, dual users were more likely to quit smoking than cigarette-only users, but the overall impact was small because most dual users returned to cigarette-only use. Moreover, e-cigarette dependence promoted continued dual use rather than smoking cessation. Yet, high motivation to quit smoking and the sensory, social, and emotional enjoyment of e-cigarettes facilitated smoking cessation in dual users. Better understanding the barriers and facilitators of transitions can help to develop regulations and interventions that lead to more effective use of e-cigarettes for smoking cessation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.