Observational studyAddictive behaviors2015
Hospitalized smokers' expectancies for electronic cigarettes versus tobacco cigarettes.
Observational study in Addictive behaviors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Instruments to measure e-cigarette related constructs: a systematic review.BMC public health · 2022Pooled it
- Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017Pooled it
- Standardized research electronic cigarette acceptability among adult men and women who smoke combustible cigarettes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025Trial
- Effect of a Machine Learning Recommender System and Viral Peer Marketing Intervention on Smoking Cessation: A Randomized Clinical Trial.JAMA network open · 2023Trial
- Reasons for Exclusion from a Smoking Cessation Trial: An Analysis by Race/Ethnicity.Ethnicity & disease · 2019Trial
- Peers and Young Adult Electronic Nicotine Delivery Use: The Mediating Role of Vaping Attitudes/Beliefs.Substance use & misuse · 2025Article
- E-Cigarette Use Behavior and Expectancies Among Sexual Minority and Heterosexual College Student E-Cigarette Users.Substance use & misuse · 2024Article
- Emotion Dysregulation and E-Cigarette Expectancies among College Student E-Cigarette Users.Substance use & misuse · 2024Article
- Sexy, trashy, cool: Perceptions of electronic cigarette users across sociodemographic groups and E-cigarette use among United States Air Force Airmen.Preventive medicine reports · 2023Article
- Depressive symptoms and vaping: The mediating effect of outcome expectancies among young adults.Drug and alcohol dependence · 2023Article
- Measuring vaping-related expectancies in young adults: Psychometric evaluation of the Electronic Nicotine Vaping Outcomes (ENVO) scale.Drug and alcohol dependence · 2023Article
- Emotion dysregulation, transdiagnostic vulnerabilities, and e-cigarette expectancies in a young adult sample.Addictive behaviors · 2022Article
- The moderating role of anxiety sensitivity in terms of fatigue severity and e-cigarette use expectancies.Journal of health psychology · 2021Article
- Emotion dysregulation, fatigue, and electronic cigarette expectancies.Cognitive behaviour therapy · 2021Article
- The Role of Anxiety Sensitivity and Fatigue Severity in Predicting E-Cigarette Dependence, Barriers to Cessation, and Cravings among Young Adults.Substance use & misuse · 2021Article
- Dripping Technology Use Among Young Adult E-Cigarette Users.Tobacco use insights · 2021Article
- Nicotine or expectancies? Using the balanced-placebo design to test immediate outcomes of vaping.Addictive behaviors · 2019Article
- E-Cigarette Outcome Expectancies among Nationally Representative Samples of Adolescents and Young Adults.Substance use & misuse · 2019Article
- Vaping Expectancies: A Qualitative Study among Young AdultSubstance abuse : research and treatment · 2019Article
- The Theory of Planned Behavior and E-cig Use: Impulsive Personality, E-cig Attitudes, and E-cig Use.International journal of mental health and addiction · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
introductionThe objectives of the current study were to compare hospitalized smokers' expectancies for electronic cigarettes (e-cigarettes) against their expectancies for tobacco cigarettes and evaluate relationships between e-cigarette expectancies and intention to use e-cigarettes.
methodsAnalysis of baseline data from a one-year longitudinal observational study. The setting was a tertiary care academic center hospital in the Southeastern U.S. Participants were 958 hospitalized tobacco cigarette smokers. A questionnaire of e-cigarette expectancies based on the Brief Smoking Consequences Questionnaire-Adult (BSCQ-A) was developed and administered along with the original, tobacco-specific, BSCQ-A. Intention to use e-cigarettes was assessed with a single 10-point Likert scale item.
resultsParticipants reported significantly weaker expectancies for e-cigarettes relative to tobacco cigarettes on all 10 BSCQ-A scales. Participants held sizably weaker expectancies that e-cigarettes pose health risks (p<.001, Cohen's d=-2.07), relieve negative affect (p<.001, Cohen's d=-1.01), satisfy the desire for nicotine (p<.001, Cohen's d=-.83), and taste pleasant (p<.001, Cohen's d=-.73). Among the strongest predictors of intention to use e-cigarettes were greater expectancies that e-cigarettes taste pleasant (p<.001, adjusted β=.34), relieve negative affect (p<.001, adjusted β=.32), and satisfy the desire for nicotine (p<.001, adjusted β=.31).
conclusionsHospitalized tobacco smokers expect fewer negative and positive outcomes from e-cigarettes versus tobacco cigarettes. This suggests that e-cigarettes might be viable though imperfect substitutes for tobacco cigarettes.
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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.