ArticlePloS one2020
An experimental study of messages communicating potential harms of electronic cigarettes.
Article in PloS one, 2020. 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.
- Developing and testing health warnings about alcohol and risk for breast cancer: Results from a national experiment with young adult women in the United States.Alcohol, clinical & experimental research · 2025Trial
- Responses to e-cigarette health messages among young adult sexual minoritized women and nonbinary people assigned female at birth: Assessing the influence of message theme and format.Drug and alcohol dependence · 2022Trial
- Examination of a hope- and fear-based message targeting older adults who smoke: A randomized trial.Geriatric nursing (New York, N.Y.)Trial
- Stopping use of E-cigarettes and smoking combustible cigarettes: findings from a large longitudinal digital smoking cessation intervention study in the United States.BMC research notes · 2024Article
- Managing a policy paradox? Responses to textual warning labels on E-cigarette advertisements among U.S. national samples of youth overall and adults who smoke or vape.Social science & medicine (1982) · 2024Article
- Perceptions about levels of harmful chemicals in e-cigarettes relative to cigarettes, and associations with relative e-cigarette harm perceptions, e-cigarette use and interest.Addiction (Abingdon, England) · 2023Article
- Perceived effectiveness of objective elements of vaping prevention messages among adolescents.Tobacco control · 2023Article
- U.S. young adults' awareness of the Master Settlement Agreement and cigarette industry practices and their associations with electronic cigarette industry and health risk perceptions.BMC public health · 2023Article
- Perceived threat and fear responses to e-cigarette warning label messages: Results from 16 focus groups with U.S. youth and adults.PloS one · 2023Article
- Association between Harmful and Addictive Perceptions of E-Cigarettes and E-Cigarette Use among Adolescents and Youth-A Systematic Review and Meta-Analysis.Children (Basel, Switzerland) · 2022Review
- Tests for confounding with cigarette smoking in the association of E-cigarette use with respiratory disorder: 2020 National-Sample Data.Preventive medicine · 2022Article
- A Content Analysis of U.S. Adults' Open-Ended Responses to E-Cigarette Risk Messages.Health communication · 2022Article
- A qualitative examination of e-cigarette use among California young adults during the EVALI outbreak.Preventive medicine reports · 2021Article
- Trend Analysis of Head and Neck Neoplasms between 2012-2018 in Patients Residing in Al-Madinah, Saudi Arabia: A Retrospective Study.European journal of dentistry · 2021Article
- LGB Tobacco Control: Do Health Belief Model Constructs Predict Tobacco Use Intentions Differently between LGB and Heterosexual Individuals?International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
There has been an upsurge of e-cigarette use in the United States in recent years. While e-cigarettes may contain lower levels of toxic chemicals than combusted cigarettes, they still pose serious health hazards, including increased risk for heart and respiratory disease. Despite these risks, public awareness of the health harms of e-cigarettes remains low. Thus, it is important to educate the public about the potential harms of e-cigarettes. This study took themes commonly found in antismoking messages and used them to develop messages about harms of e-cigarettes. A national sample of 2801 current smokers and nonsmokers (aged 18+ years) were randomized to view one of four e-cigarette messages (harmful effect of chemicals, uncertainty about ingredients, distrust of big tobacco, or cost of vaping) or a control message (bottled water ad). Participants' reactions to the messages and behavioral intentions were assessed immediately following the exposure. MANOVA examined effects of the messages on blocks of the outcome variables and univariate analyses estimated adjusted means for each experimental condition for each outcome. The message about harmful chemicals was perceived as the most informative and effective and elicited the highest levels of negative emotions (Ps<0.05). However, on measures of actual effectiveness, the other messages performed equally well. Specifically, messages with different themes (harmful chemicals, uncertainty about ingredients, anti-industry, or financial cost) increased perceived risk of e-cigarettes, support for e-cigarette control, and lowered self-exempting beliefs and intentions to use e-cigarettes (Ps<0.05). Themes commonly used in anti-smoking messages may be effective in educating the public about the potential harm of e-cigarettes. The observed differential effects of the messages suggest the need to use multiple themes in a public education campaign about e-cigarettes.
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.