ArticlePediatrics2020
E-cigarette Product Characteristics and Subsequent Frequency of Cigarette Smoking.
Article in Pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 35 citations in OpenAlex.
- Intention and self-efficacy to quit e-cigarettes and cigarettes among California college students.Journal of American college health : J of ACH · 2026Article
- Understanding Reasons to Quit or Reduce Vaping and Associations With Quitting Outcomes Among High School Adolescents in Connecticut.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025Article
- Measuring Stress, Socialization, and Smoking Behaviors Among Lesbian, Gay, Bisexual, Transgender, Queer, and Other Sexual and Gender Minority Adolescents (the Puff Break Research Study): Protocol for a Ecological Momentary Assessment Study.JMIR research protocols · 2025Article
- Clearing the haze: novel methodology objectively assessing children's online exposure to tobacco and vape marketing.Health promotion international · 2025Article
- Does the time to nicotine dependence vary by internalizing symptoms for young people who use e-cigarettes? An analysis of the Population Assessment of Tobacco and Health (PATH) study, (Waves 1-5; 2013-2019).Addictive behaviors · 2024Article
- Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model.JMIR formative research · 2024Article
- Article
- Symptoms of nicotine dependence by e-cigarette and cigarette use behavior and brand: A population-based, nationally representative cross-sectional study.Drug and alcohol dependence · 2024Article
- Importance of Various E-Cigarette Device and E-Liquid Characteristics by Smoking Status among Young Adults Who Vape.Substance use & misuse · 2024Article
- Nicotine and fluoxetine alter adolescent dopamine-mediated behaviors via 5-HTFrontiers in psychiatry · 2024Article
- Electronic Cigarette Device and Liquid Characteristics: Comparison of Self-Reports to User-Provided Pictures.Substance use & misuse · 2024Article
- Socio-temporal contextual and community factors associated with daily exclusive ENDS use and dual use with tobacco cigarettes among adolescent vapers: an ecological momentary assessment study.BMC public health · 2022Article
- Association of device type, flavours and vaping behaviour with tobacco product transitions among adult electronic cigarette users in the USA.Tobacco control · 2022Article
- Effects of electronic cigarette aerosol exposure on oral and systemic health.Biomedical journal · 2021Review
- Prevalence of Young Adult Vaping, Substance Vaped, and Purchase Location Across Five Categories of Vaping Devices.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Machine Learning-Based Nicotine Addiction Prediction Models for Youth E-Cigarette and Waterpipe (Hookah) Users.Journal of clinical medicine · 2021Article
- ENDS Device Type and Initiation of Combustible Tobacco Products Among Adolescents.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Dripping Technology Use Among Young Adult E-Cigarette Users.Tobacco use insights · 2021Article
- Young adult e-cigarette use: A latent class analysis of device and flavor use, 2018-2019.Drug and alcohol dependence · 2020Article
- An update on controversies in e-cigarettes.Paediatric respiratory reviews · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThere is a dearth of evidence regarding the association of use of electronic cigarettes (e-cigarettes) with certain product characteristics and adolescent and young adult risk of unhealthy tobacco use patterns (eg, frequency of combustible cigarette smoking), which is needed to inform the regulation of e-cigarettes.
methodsData were collected via an online survey of participants in the Southern California Children's Health Study from 2015 to 2016 (baseline) and 2016 to 2017 (follow-up) (
resultsRelative to never e-cigarette users, past-30-day e-cigarette use was associated with greater frequency of past-30-day cigarette smoking at follow-up. Among baseline past-30-day e-cigarette users, participants who used mods (versus vape pens) smoked >6 times as many cigarettes at follow-up (mean: 20.8 vs 1.3 cigarettes; rate ratio = 6.33; 95% confidence interval: 1.64-24.5) after adjustment for sociodemographic characteristics, baseline frequency of cigarette smoking, and number of days of e-cigarette use. After adjustment for device, neither nicotine e-liquid nor dripping were associated with frequency of cigarette smoking.
conclusionsBaseline mod users (versus vape pen users) smoked more cigarettes in the past 30 days at follow-up. Regulation of e-cigarette device type warrants consideration as a strategy to reduce cigarette smoking among adolescents and young adults who vape.
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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.