ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2021
Validating E-Cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- E-cigarettes and nicotine abstinence: a meta-analysis of randomised controlled trials.European respiratory review : an official journal of the European Respiratory Society · 2022Pooled it
- What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026Article
- Predictors of vaping relapse based on e-cigarette use measures: A secondary analysis of longitudinal data from the 'Stop Vaping Challenge' cessation application.Tobacco induced diseases · 2026Article
- Real-Time Antecedents of Young Adults' Vaping and Co-Vaping of Nicotine and Cannabis: An Ecological Momentary Assessment Study.Journal of medical Internet research · 2025Article
- Article
- 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
- The experiences of young adults attempting to quit e-cigarettes: A mixed-methods analysis.Tobacco prevention & cessation · 2025Article
- Article
- Health and Well-Being Among College Students in the United States During the COVID-19 Pandemic: Daily Diary Study.Interactive journal of medical research · 2024Article
- Protocol for the "magnitude of cigarette substitution after initiation of e-cigarettes and its impact on biomarkers of exposure and potential harm in dual users" (MAGNIFICAT) study.Frontiers in public health · 2024Article
- Varenicline for smoking cessation in individuals who smoke cigarettes and use electronic cigarettes: a double-blind, randomised, placebo-controlled phase 3 trial.EClinicalMedicine · 2023Article
- Dependence motives and use contexts that predicted smoking cessation and vaping cessation: A two-year longitudinal study with 13 waves.Drug and alcohol dependence · 2023Article
- An Examination of Objective and Self-Report Measures of Ad Libitum Electronic Cigarette Use: Identifying Patterns of Puffing Behavior and Evaluating Self-Report Items.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Subtypes of Dual Users of Combustible and Electronic Cigarettes: Longitudinal Changes in Product Use and Dependence Symptomatology.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Observational
- Predictors of electronic cigarette dependence among non-smoking electronic cigarette users: User behavior and device characteristics.Addictive behaviors · 2023Article
- E-Cigarette Dependence in Youth.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
- Ongoing and Evolving Challenges of Tobacco Use During Pregnancy.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
introductionExisting e-cigarette dependence scales are mainly validated based on retrospective overall consumption or perception. Further, given that the majority of adult e-cigarette users also use combustible cigarettes, it is important to determine whether e-cigarette dependence scales capture the product-specific dependence. This study fills in the current knowledge gaps by validating e-cigarette dependence scales using novel indices of dynamic patterns of e-cigarette use behaviors and examining the association between dynamic patterns of smoking and e-cigarette dependence among dual users.
methodsSecondary analysis was conducted on the 2-week ecological momentary assessment data from 116 dual users. The Smoothly Clipped Absolute Deviation penalty (SCAD) was adopted to select important indices for dynamic patterns of consumption or craving and estimate their associations with e-cigarette dependence scales.
resultsThe fitted linear regression models support the hypothesis that higher e-cigarette dependence is associated with higher levels of e-cigarette consumption and craving as well as lower instability of e-cigarette consumption. Controlling for dynamic patterns of vaping, dual users with lower e-cigarette dependence tend to report higher day-to-day dramatic changes in combustible cigarette consumption but not higher average levels of smoking.
conclusionsWe found that more stable use patterns are related to higher levels of dependence, which has been demonstrated in combustible cigarettes and we have now illustrated in e-cigarettes. Furthermore, the e-cigarette dependence scales may capture the product-specific average consumption but not product-specific instability of consumption. IMPLICATIONS: This study provides empirical support for three e-cigarette dependence measures: PS-ECDI, e-FTCD, and e-WISDM, based on dynamic patterns of e-cigarette consumption and craving revealed by EMA data that have great ecological validity. This is the first study that introduces novel indices of dynamic patterns and demonstrates their potential applications in vaping research.
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Registered trials
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.