ArticleAmerican journal of health behavior2020
High School Youth and E-cigarettes: The Influence of Modified Risk Statements and Flavors on E-cigarette Packaging.
Article in American journal of health behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Do Vaping Prevention Messages Impact Adolescents and Young Adults? A Meta-Analysis of Experimental Studies.Health communication · 2023Pooled it
- Can Extant Vaping Prevention Message Experiments Tell Us Something About What Works? A Response to O'Keefe.Health communication · 2023Pooled it
- Effects of a Reduced Risk Claim on Adolescents' Smokeless Tobacco Perceptions and Willingness to Use.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023Trial
- Health warnings for electronic cigarette packaging: a rapid scoping review.BMC public health · 2026Article
- Differentiating the Determinants of Ever Having Used a Vape Versus Use Frequency: A Hurdle Modelling Approach.International journal of behavioral medicine · 2026Article
- Exposure to Vape Products Elicits Neural Activity Patterns Indicative of Approach Motivation Among Young People.Addiction biology · 2026Article
- Remediated marketing: leveraging computer vision and rule-based classification models to detect e-cigarette warning labels across social media.Information, communication and society · 2025Article
- The impact of e-cigarette product characteristics on attitudes and use susceptibility: an experimental study.Health promotion international · 2025Article
- The Role of e-Cigarette Packaging as a Health Communications Tool: A Focus Group Study With Adolescents and Adults in England and Scotland.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- The effectiveness of anti-vaping health communication campaigns among high school and college students in the U.S.Frontiers in public health · 2025Review
- Vaping Flavors and Flavor Representation: A Test of Youth Risk Perceptions, Novelty Perceptions, and Susceptibility.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- Adolescents' Perceptions of Substance Use Harms are Contingent on Mode of Administration and Type of Substance.Substance abuse : research and treatment · 2022Article
- Young people's e-cigarette risk perceptions, policy attitudes, and past-month nicotine vaping in 30 U.S. cities.Drug and alcohol dependence · 2021Article
- Public Health Interventions Targeting the Prevention of Adolescent Vaping: A Scoping Review.Public health nursing (Boston, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.