ArticleJournal of community health2018
Elevated Nicotine Dependence Scores among Electronic Cigarette Users at an Electronic Cigarette Convention.
Article in Journal of community health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed, 31 citations in OpenAlex.
- Differences in AUTOS- and FTND-assessed dependence on various tobacco products among Chinese current tobacco/nicotine users.Scientific reports · 2026Article
- Grey matter morphometry in young adult e-cigarette users, tobacco cigarette users & non-using controls.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Decoding Vaping: Empowering Youth Through Media Literacy Based E-cigarette Educational Program.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
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- Longitudinal transitions in adolescent polytobacco use across waves 1-4 of the Population Assessment of Tobacco and Health study.Addiction (Abingdon, England) · 2023Article
- Nicotine Dependence among College Students Uninterested in Smoking Cessation during the COVID-19 Pandemic: A Cross-Sectional Survey.International journal of environmental research and public health · 2023Article
- Comparison of attempts and plans to quit tobacco products among single, dual, and triple users.Tobacco induced diseases · 2023Article
- Assessment of worker chemical exposures in California vape shops.Journal of occupational and environmental hygiene · 2022Article
- Device features and user behaviors as predictors of dependence among never-smoking electronic cigarette users: PATH Wave 4.Addictive behaviors · 2022Article
- Urinary Cotinine and Nicotine Dependence Levels in Regular Male Electronic Cigarette Users.The Eurasian journal of medicine · 2021Article
- E-Cigarettes are More Addictive than Traditional Cigarettes-A Study in Highly Educated Young People.International journal of environmental research and public health · 2019Article
- A biomonitoring assessment of secondhand exposures to electronic cigarette emissions.International journal of hygiene and environmental health · 2019Article
- Influence of Electronic Cigarette Characteristics on Susceptibility, Perceptions, and Abuse Liability Indices among Combustible Tobacco Cigarette Smokers and Non-Smokers.International journal of environmental research and public health · 2019Article
- Nighttime Waking to Smoke, Stress, and Nicotine Addiction.Behavioral sleep medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic cigarette (e-cigarette) conventions are trade shows held across the globe to promote e-cigarette products and provide a venue for users to socialize. E-cigarette users that attend these events likely represent the most intensive e-cigarette user group. No study has characterized addiction and behavior characteristics in this population. We surveyed 131 e-cigarette users attending a large Southeastern e-cigarette convention in Fall 2015. All questions from the Fagerstrom Test for Nicotine Dependence (FTND), select questions from the Penn State Electronic Cigarette Dependence Index, and novel user behavior questions were included. In total, 25 questions were included in the survey. FTND scores were calculated for each respondent who answered all six FTND questions (n = 117). Fisher's Exact Chi square test was used to assess the relationship between addiction and behavior characteristics and FTND scores. Most respondents were classified as moderately dependent (score 5-7, 45.3% of respondents). Length of use, waking at night to use an e-cigarette, strength of cravings, strength of urges over the past week, and frequency of visiting e-cigarette blogs were significantly associated with FTND scores. E-cigarettes users have average FTND scores higher than tobacco smokers. Scores were not significantly associated with prior tobacco cigarette use. Characteristics associated with tobacco smokers' nicotine addiction, such as waking at night to smoke and strength of cravings experienced, are relevant to e-cigarette users. E-cigarettes do not contain the magnitude of toxicants in tobacco cigarettes, but e-cigarettes may produce new chemical exposures evidenced by the adverse health effects reported by some respondents.
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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.