ArticleSocial science & medicine (1982)2017
Graphic health warnings as activators of social networks: A field experiment among individuals of low socioeconomic position.
Article in Social science & medicine (1982), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Associations of egocentric social network characteristics with conversations about the harms of smoking and the benefits of quitting.PloS one · 2026Trial
- Effectiveness of a multi-component intervention including pictorial warnings to reduce sugar-sweetened beverage consumption - a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2025Trial
- A randomized controlled trial of public messaging to promote safe firearm storage among U.S. military veterans.Social science & medicine (1982) · 2019Trial
- Effects of Varying Color, Imagery, and Text of Cigarette Package Warning Labels among Socioeconomically Disadvantaged Middle School Youth and Adult Smokers.Health communication · 2019Trial
- Frequency and Content of Conversations About Pictorial Warnings on Cigarette Packs.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018Trial
- Conversations about cigarette health warning labels and smoking cessation attempts in Mexico.Salud publica de Mexico · 2024Article
- Tobacco industry interference to undermine the development and implementation of graphic health warnings in Bangladesh.Tobacco control · 2024Article
- Tobacco-control policy support among people from low socioeconomic positions in Massachusetts.Preventive medicine reports · 2023Article
- Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study.JMIR mHealth and uHealth · 2021Observational
- Cessation Conversations and Quit Attempts: Differences by Ethnicity and Language Preference.American journal of health behavior · 2020Article
- Advancing Tobacco Product Warning Labels Research Methods and Theory: A Summary of a Grantee Meeting Held by the US National Cancer Institute.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019Review
- Evaluation of graphic messages to promote human papillomavirus vaccination among young adults: A statewide cross-sectional survey.Preventive medicine reports · 2019Article
- Conversations about pictorial cigarette pack warnings: Theoretical mechanisms of influence.Social science & medicine (1982) · 2018Article
- The relative persuasiveness of narrative versus non-narrative health messages in public health emergency communication: Evidence from a field experiment.Preventive medicine · 2018Article
- Local Organizations Supporting Implementation of Graphic Health Warnings for Tobacco in Underserved Communities: A Qualitative Inquiry.Frontiers in public health · 2018Article
- A descriptive pilot study of structural and functional social network ties among women in the women's health initiative (WHI) study.Journal of women & agingArticle
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
rationaleGraphic health warnings (GHWs) on cigarette packages present an important tobacco control opportunity, particularly for vulnerable populations suffering a disproportionate tobacco burden. One mechanism by which GHWs may influence smoking outcomes is by prompting interpersonal discussions within health discussion networks (the set of personal contacts with whom an individual discusses health issues).
objectiveThe study examined the association between GHW-prompted conversations within health discussion networks and key tobacco-related outcomes, with attention to valence and content of the discussions.
methodBetween August 2013 and April 2014, we recruited 1200 individuals from three communities in Massachusetts, emphasizing recruitment of individuals of low socioeconomic position (SEP) and members of other selected vulnerable groups. Respondents were exposed to the nine GHWs proposed by the FDA in 2011, asked a series of questions, and assessed at follow-up a few weeks later.
resultsA total of 806 individuals were included in this analysis. About 51% of respondents reported having a health discussion network, with significantly lower reports among African-Americans and Hispanics compared to Whites. Around 70% of respondents (smokers and nonsmokers) with health discussion networks reported having one or more conversations about the GHWs with network members, the bulk of which were negative and focused on warning others about smoking. For smokers, we found a small but positive association between the percentage of network conversations that were negative and reports of quit attempts.
conclusionThe results point to a potential mechanism by which GHWs may impact tobacco-related outcomes, prompting further inquiry into the role of health discussion networks (and discussion networks, more broadly) in tobacco control among low SEP individuals.
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.