ArticleAddiction (Abingdon, England)2021
Trends in electronic cigarette use and conventional smoking: quantifying a possible 'diversion' effect among US adolescents.
Article in Addiction (Abingdon, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review and Critical Analysis of Longitudinal Studies Assessing Effect of E-Cigarettes on Cigarette Initiation among Adolescent Never-Smokers.International journal of environmental research and public health · 2023Pooled it
- The Lifetime Mortality Implications of Vaping and Smoking Initiated During Adolescence.American journal of preventive medicine · 2026Article
- Governing E-cigarettes in China: regulatory challenges and strategies for adolescent protection in the post-flavor ban era.Frontiers in public health · 2026Article
- Electronic and Conventional Cigarette Use and Academic Achievement Among Predominantly Low-Income Black High School Students.Children (Basel, Switzerland) · 2025Article
- Association between electronic cigarette use and respiratory outcomes among people with no established smoking history: a comprehensive review and critical appraisal.Internal and emergency medicine · 2025Review
- Electronic cigarettes and subsequent use of cigarettes in young people: An evidence and gap map.Addiction (Abingdon, England) · 2024Review
- Increased e-cigarette use prevalence is associated with decreased smoking prevalence among US adults.Harm reduction journal · 2024Article
- Trends in long term vaping among adults in England, 2013-23: population based study.BMJ (Clinical research ed.) · 2024Article
- The "Gateway" hypothesis: evaluation of evidence and alternative explanations.Harm reduction journal · 2024Review
- Social influence and advocacy pathways during a web-based program for adolescent smoking prevention.Addictive behaviors reports · 2024Article
- Measures of youth e-cigarette use: strengths, weaknesses and recommendations.Frontiers in public health · 2024Article
- Nicotine Vaping and Co-occurring Substance Use Among Adolescents in the United States from 2017-2019.Substance use & misuse · 2023Article
- Impact of the e-cigarette era on cigarette smoking among youth in the United States: A population-level study.Preventive medicine · 2022Article
- A Decision-Theoretic Public Health Framework for Heated Tobacco and Nicotine Vaping Products.International journal of environmental research and public health · 2022Article
- Commentary on Beard et al.: Using survey data to test the hypothesis that e-cigarettes are a gateway to cigarette smoking in youth.Addiction (Abingdon, England) · 2022Article
- Article
- Rural disparities in adolescent smoking prevalence.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022Article
- Smoking and the widening inequality in life expectancy between metropolitan and nonmetropolitan areas of the United States.Frontiers in public health · 2022Article
- Sociodemographic, personal, peer, and familial predictors of e-cigarette ever use in ESPAD Ireland: A forward stepwise logistic regression model.Tobacco induced diseases · 2022Article
- Flavor science in the context of research on electronic cigarettes.Frontiers in neuroscience · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
BACKGROUND AND
aimsThe impact of electronic cigarettes (ECs) on nicotine use is hotly debated: some fear that ECs are a 'catalyst' to conventional smoking, while others argue that they divert adolescents from the more harmful product. This study used simulation modeling to evaluate the plausibility of catalyst and diversion hypotheses against real-world data.
designA simulation model represented life-time exclusive EC use, exclusive conventional smoking and dual use as separate subpopulations. The 'catalyst' effect was modeled as EC use increasing dual use initiation (i.e. EC users also start smoking). The 'diversion' effect was modeled as EC use decreasing exclusive cigarette initiation. The model was calibrated using data from the US National Youth Tobacco Survey (NYTS). The plausibility of each scenario was evaluated by comparing simulated trends with NYTS data. This is the first study, to our knowledge, to estimate the magnitude of a diversion effect through simulation.
settingUnited States. PARTICIPANTS AND MEASUREMENTS: Adolescents aged 12-17 years in NYTS, a cross-sectional study from 2000 to 2019 (n = 12 500 to 31 000 per wave). Exclusive cigarette use, exclusive EC use and dual use of both products were defined using cumulative life-time criteria (100+ cigarettes smoked and/or > 100 days vaped).
findingsA null model (no catalyst or diversion) over-predicts NYTS smoking by up to 87%. Under the conservative assumption that the catalyst effect accounts for all dual use, an exponential decay constant of 19.6% EC users/year initiating smoking is required; however, this further over-predicts actual smoking by up to 109%. A diversion effect with an exponential decay constant of 55.4%/year or 65.4%/year, with the maximum possible opposing catalyst effect also active, is required optimally to match NYTS smoking trends (root mean square error = 286 632 versus 391 396 in the null model).
conclusionsA simulation model shows that a substantial diversion effect is needed to explain observed nicotine use trends among US adolescents, and it must be larger than any possible opposing catalyst effect, if present.
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