ArticleTobacco control2016
Variations in state use of antitobacco message themes predict youth smoking prevalence in the USA, 1999-2005.
Article in Tobacco control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Evaluating the actual and perceived effectiveness of E-cigarette prevention advertisements among adolescents.Addictive behaviors · 2020Trial
- Testing antismoking messages for Air Force trainees.Tobacco control · 2016Trial
- Aerosol, vapor, or chemicals? College student perceptions of harm from electronic cigarettes and support for a tobacco-free campus policy.Journal of American college health : J of ACHTrial
- The impact of "pinkwashed" alcohol advertisements on attitudes and beliefs: A randomized experiment with US adults.Addictive behaviors · 2024Article
- How do New Zealand youth perceive the smoke-free generation policy? A qualitative analysis.Tobacco control · 2024Article
- Article
- Reach, Receptivity, And Beliefs Associated With theAmerican journal of health promotion : AJHP · 2022Article
- A Content Analysis of U.S. Adults' Open-Ended Responses to E-Cigarette Risk Messages.Health communication · 2022Article
- Do Emotions Spark Interest in Alternative Tobacco Products?Health education & behavior : the official publication of the Society for Public Health Education · 2017Article
- Effects of Strengthening Cigarette Pack Warnings on Attention and Message Processing: A Systematic ReviewJournalism & mass communication quarterly · 2017Article
- Alcohol harm reduction advertisements: a content analysis of topic, objective, emotional tone, execution and target audience.BMC public health · 2017Article
- Promising Themes for Antismoking Campaigns Targeting Youth and Young Adults.Tobacco regulatory science · 2017Article
- Translating research into prevention of high-risk behaviors in the presence of complex systems: definitions and systems frameworks.Translational behavioral medicine · 2016Article
- Measuring Exposure Opportunities: Using Exogenous Measures in Assessing Effects of Media Exposure on Smoking Outcomes.Communication methods and measures · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveThis study tests relationships between the volume of advertisements (ads; public service announcements (PSAs)) employed in state antismoking campaigns, use of different themes and stylistic features in these PSAs, and state youth smoking prevalence between 1999 and 2005.
methodsWe merged commercially available data on televised antismoking PSAs that aired between 1998 and 2004 with data on state tobacco control activity to test the relationship between the volume and content of youth-targeted and general-targeted/adult-targeted antismoking PSAs on youth smoking prevalence, controlling for other tobacco control efforts. We use content analysis and ordinary least squares (OLS) regression to assess which thematic and stylistic features employed in state antismoking PSAs are associated with reduced smoking prevalence.
resultsA 100-ad increase in the yearly volume of youth-targeted state antismoking PSAs was associated with a 0.1 percentage point decrease in state youth smoking rates in the following year. This relationship was driven by variation in state use of PSAs emphasising health consequences to self or others and anti-industry appeals. Controlling for appearances of these themes, use of graphic imagery and personal testimonials did not predict reduced smoking prevalence. Adult-targeted/general-targeted PSAs were not associated with youth smoking prevalence.
conclusionsYouth-targeted state antitobacco PSAs that emphasise the health consequences of smoking (to oneself and others) and contain anti-industry appeals are associated with reduced youth smoking rates. Future work should avoid typologies that do not account for the co-occurrence of thematic and stylistic content in antitobacco PSAs.
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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.