ArticleAmerican journal of public health2009
Effects of different types of antismoking ads on reducing disparities in smoking cessation among socioeconomic subgroups.
Article in American journal of public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 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
89 citing papers in PubMed, 2 syntheses or guidelines pooled it, 250 citations in OpenAlex.
- Evidence for a comprehensive approach to Aboriginal tobacco control to maintain the decline in smoking: an overview of reviews among Indigenous peoples.Systematic reviews · 2017Pooled it
- Impact of tobacco control interventions on smoking initiation, cessation, and prevalence: a systematic review.Journal of environmental and public health · 2012Pooled it
- Designing Effective Testimonial Pictorial Warning Labels for Tobacco Products.Health communication · 2019Trial
- Antismoking Advertisements and Price Promotions and Their Association With the Urge to Smoke and Purchases in a Virtual Convenience Store: Randomized Experiment.Journal of medical Internet research · 2019Trial
- Effects of 30% and 50% Cigarette Pack Graphic Warning Labels on Visual Attention, Negative Affect, Quit Intentions, and Smoking Susceptibility among Disadvantaged Populations in the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018Trial
- Testing Cessation Messages for Cigarette Package Inserts: Findings from a Best/Worst Discrete Choice Experiment.International journal of environmental research and public health · 2018Trial
- Potential Effectiveness of Pictorial Warning Labels That Feature the Images and Personal Details of Real People.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017Trial
- Increasing the dose of television advertising in a national antismoking media campaign: results from a randomised field trial.Tobacco control · 2017Trial
- Viewing alcohol warning advertising reduces urges to drink in young adults: an online experiment.BMC public health · 2016Trial
- Trial
- Can pictorial warning labels on cigarette packages address smoking-related health disparities? Field experiments in Mexico to assess pictorial warning label content.Cancer causes & control : CCC · 2012Trial
- Factors that may influence uptake of private party background checks for firearm transfers: a mixed-method descriptive study.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026Article
- Comprehensive Smoke-Free Laws and Cardiovascular Disease Mortality in US Counties.JAMA network open · 2026Article
- Perceptions of User-Generated Content as a Source of Health Messages in Smoking Cessation Mobile Interventions: Focus Group Study.JMIR human factors · 2025Article
- Population-Level Dissemination of a Smoking Cessation Smartphone App: Quasi-Experimental Comparison of Values-Based Messages in Social Media Advertisements.JMIR mHealth and uHealth · 2025Article
- Leveraging data and policy interventions to strengthen tobacco control in the Eastern Mediterranean Region.Frontiers in public health · 2025Article
- 1-866-QUIT-YES: How the Illinois Tobacco Quitline Reached Priority Audiences Through Mass Media.Tobacco use insights · 2025Article
- Association between long-term PMEnvironmental monitoring and assessment · 2024Article
- The systematic development of guidance for parents on talking to children of primary school age about weight.BMC public health · 2023Article
- Race by Education Intersectional Differences in Exposure to Tobacco Advertisement in Baltimore City.Journal of lung health and diseases · 2023Article
29 more citing papers are in PubMed but not listed here.
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 at 1 institution in 1 country.
Funding
Abstract
objectivesWe assessed which types of mass media messages might reduce disparities in smoking prevalence among disadvantaged population subgroups.
methodsWe followed 1491 adult smokers over 24 months and related quitting status at follow-up to exposure to antismoking ads in the 2 years prior to the baseline assessment.
resultsOn average, smokers were exposed to more than 200 antismoking ads during the 2-year period, as estimated by televised gross ratings points (GRPs). The odds of having quit at follow-up increased by 11% with each 10 additional potential ad exposures (per 1000 points, odds ratio [OR]=1.11; 95% confidence interval [CI]=1.00, 1.23; P<.05). Greater exposure to ads that contained highly emotional elements or personal stories drove this effect (OR=1.14; 95% CI 1.02, 1.29; P<.05), which was greater among respondents with low and mid-socioeconomic status than among high-socioeconomic status groups.
conclusionsEmotionally evocative ads and ads that contain personalized stories about the effects of smoking and quitting hold promise for efforts to promote smoking cessation and reduce socioeconomic disparities in smoking.
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.