ArticleCureus2023
Misconceptions of Vaping Among Young Adults.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Effectiveness of vaping prevention campaign messages on cognitive and behaviorally proximal outcomes among adolescents and young adults: a systematic review and meta-analysis.Frontiers in psychiatry · 2026Pooled it
- Global prevalence of E-cigarette use among students: Systematic review and meta-analysis.PloS one · 2025Pooled it
- Quit journey lessons: qualitative insights from men in Qatar who formerly vaped.BMC public health · 2026Article
- Emerging trends and determinants of electronic cigarette use among young Thai men, 2022-2024.BMC public health · 2025Article
- The Impact of Electronic Cigarettes on Oral Health: Analytic Cross-Sectional Study.Journal of pharmacy & bioallied sciences · 2025Article
- Prevalence of vaping, vaping-associated short-term symptoms of respiratory and cardiovascular morbidities, and factors associated with the initiation of vaping among young adults in Kuwait.Tobacco induced diseases · 2025Article
- Oral health effects of tobacco and e-cigarettes in Madinah.Frontiers in oral health · 2025Article
- The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study.Journal of medical Internet research · 2024Article
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- Immigration status-related exclusive e-cigarette use and cannabis use and their dual use disparities associated with mental health disorder symptoms.Drug and alcohol dependence · 2024Article
- E-cigarette use among university students in Palestine: Prevalence, knowledge, and determinant factors.PloS one · 2024Observational
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 at 5 institutions in 2 countries.
Funding
Abstract
Background Vaping is growing in popularity worldwide, especially among young adults. To develop effective tobacco prevention interventions, first, there must be an understanding of the attitudes and perceptions of young adults toward the use of vaping. Highlighting perception discrepancies between races may allow physicians to more effectively counsel their patients regarding the risks of vaping. Methodology We conducted an online survey using Amazon Mechanical Turk (MTurk, https://www.mturk.com/) to identify misconceptions about vaping among adults aged 18 to 24 years who currently vape. The survey consisted of 18 questions evaluating reasons for vaping, history of tobacco use, and thoughts on the adverse effects of vaping. The Penn State Electronic Cigarette Dependence Index was implemented to assess dependence. Exclusion criteria comprised respondents who did not vape and were under the age of 18 or over the age of 24. Results A total of 1,009 responses were received with 66% identifying as male (
Indexed as
Identifiers
What OpenQuestion holds
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.