Observational studyBMJ open2016
Does exposure to cigarette brands increase the likelihood of adolescent e-cigarette use? A cross-sectional study.
Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An International Systematic Review of Prevalence, Risk, and Protective Factors Associated with Young People's E-Cigarette Use.International journal of environmental research and public health · 2022Pooled it
- Overview of Electronic Nicotine Delivery Systems: A Systematic Review.American journal of preventive medicine · 2017Pooled it
- Article
- Associations of cigarette card games engagement with smoking susceptibility and smoking behaviors among Chinese children and adolescents: Findings from the Zhejiang Childhood Behavior and Health Cohort study.Tobacco induced diseases · 2026Article
- Greenspaces and Health: Scoping Review of studies in Europe.Public health reviews · 2024Article
- Tobacco retailer density and smoking behavior in a rural Australian jurisdiction without a tobacco retailer licensing system.Tobacco induced diseases · 2021Article
- Further investigation of gateway effects using the PATH study.F1000Research · 2020Article
- Smoking by family members and friends and electronic-cigarette use in adolescence: A systematic review and meta-analysis.Tobacco induced diseases · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
objectiveTo examine the relationship between tobacco cigarette brand recognition, and e-cigarette use in adolescents.
designCross-sectional observational study.
settingHigh schools in Scotland.
participantsQuestionnaires were administered to pupils in Secondary 2 (S2 mean age: 14.0 years) and Secondary 4 (S4 mean age: 15.9 years) across 4 communities in Scotland. An 86% response rate with a total sample of 1404 pupils was achieved.
main outcome measuresSelf-reported previous use of e-cigarettes and self-reported intention to try e-cigarettes in the next 6 months.
results75% (1029/1377) of respondents had heard of e-cigarettes (69.5% S2, 81.1% S4), and of these, 17.3% (10.6% S2, 24.3% S4 n=1020) had ever tried an e-cigarette. 6.8% (3.7% S2, 10.0% S4 n=1019) reported that they intended to try an e-cigarette in the next 6 months. Recognition of more cigarette brands was associated with greater probability of previous e-cigarette use (OR 1.20, 99% CI 1.05 to 1.38) as was having a best friend who smoked (OR 3.17, 99% CI 1.42 to 7.09). Intention to try e-cigarettes was related to higher cigarette brand recognition (OR 1.41, 99% CI 1.07 to 1.87), hanging around in the street or park more than once a week (OR 3.78, 99% CI 1.93 to 7.39) and living in areas of high tobacco retail density (OR 1.20, 99% CI 1.08 to 1.34). Never having smoked was a protective factor for both future intention to try, and past e-cigarette use (OR 0.07, 99% CI 0.02 to 0.25; and OR 0.10, 99% CI 0.07 to 0.16, respectively).
conclusionsHigher cigarette brand recognition was associated with increased probability of previous use and of intention to use e-cigarettes. The impact of tobacco control measures such as restricting point-of-sale displays on the uptake of e-cigarettes in young people should be evaluated.
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Registered trials
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