ArticleJAMA network open2024
Disparities in Exposure to Tobacco on Television or Streaming Platforms.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Exposure to tobacco imagery in streaming television is associated with increased intentions to smoke and vape.Addictive behaviors reports · 2026Article
- Maintaining momentum: the history and future of lung cancer disparities in the United States.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Importance: With the rise in popularity of streaming platforms concerns about exposure to tobacco advertising and promotion have emerged. While tobacco marketing and promotion through traditional television (TV) media channels has been extensively studied, less is known about exposure to tobacco through TV or streaming platforms and its associated factors. Objective: To examine the prevalence and factors associated with exposure to tobacco products advertised, marketed, or promoted on TV or streaming platforms among US adults. Design, Setting, and Participants: This cross-sectional study used data from the National Cancer Institute's Health Information National Trends Survey (HINTS 6), conducted from March 7 to November 8, 2022. The nationally representative survey included noninstitutionalized civilian US adults. Main Outcomes and Measures: The primary outcome was self-reported exposure to tobacco advertisements, marketing, or promotion on TV or streaming platforms in the past 3 months. Factors associated with exposure were explored using multivariable survey logistic regression. Results: The study included 5775 participants (3415 females [weighted percentage, 50.5%], 970 Hispanic individuals [weighted percentage, 16.9%], 872 non-Hispanic Black or African American individuals [11.1%], 3144 non-White individuals [61.5%], and 632 individuals who currently smoke [12.0%]). The estimated exposure to tobacco advertisements, marketing, or promotion on television or streaming platforms was 12.4% (95% CI, 10.8%-14.2%). Multivariable logistic regression analysis revealed that exposure odds were higher among those who had a level of education of high school or less (adjusted odds ratio [aOR], 1.60; 95% CI, 1.08-2.37), individuals who currently smoke (aOR, 1.85; 95% CI, 1.06-3.25), non-Hispanic Black or African American respondents (aOR, 2.20; 95% CI, 1.40-3.45) and Hispanic respondents (aOR, 1.58; 95% CI, 1.04-2.42). Conclusions and Relevance: In this study of the prevalence of exposure to tobacco advertisements on TV or streaming platforms among US adults, disparities in exposure by race or ethnicity, education level, and smoking status were identified. These findings underscore the need for targeted public health interventions and regulation to address these disparities and reduce the impact of tobacco advertisements on vulnerable populations.
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.