ArticleAmerican journal of preventive medicine2019
Adolescents' Neural Response to Tobacco Prevention Messages and Sharing Engagement.
Article in American journal of preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Attentional, Affective, and Cognitive Responses to the Food and Drug Administration's "The Real Cost" Youth Cigarette and E-Cigarette Prevention Campaigns Among Young Adults.American journal of preventive medicine · 2026Article
- Contingent Effects of E-Cigarette Warning Label Messages on Cognitive Elaboration and Fear Among U.S. Youth Ages 14-17 by Vaping Experience and Peer Vaping Behavior.Health communication · 2025Article
- Diminished valuation in the brain: how repeated exposure reduces health message engagement.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- The Effectiveness of Online Messages for Promoting Smoking Cessation Resources: Predicting Nationwide Campaign Effects From Neural Responses in the EX Campaign.Frontiers in human neuroscience · 2020Article
- Promoting adolescent health: insights from developmental and communication neuroscience.Behavioural public policy · 2019Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
introductionInterpersonal communication can reinforce media effects on health behavior. Recent studies have shown that brain activity in the medial prefrontal cortex during message exposure can predict message-consistent behavior change. Key next steps include examining the relationship between neural responses to ads and measures of interpersonal message retransmission that can be collected at scale.
methodsNeuroimaging, self-report, and automated linguistic measures were utilized to investigate the relationships between neural responses to tobacco prevention messages, sharing engagement, and smoking-relevant belief changes. Thirty-seven adolescent nonsmokers viewed 12 ads from the U.S. Food and Drug Administration's "The Real Cost" campaign during a functional magnetic resonance imaging scan session (2015-2016). Data were analyzed between 2016 and 2017. The extent that participants talked in detail about the main message of the ads, or sharing engagement, was measured through transcripts of participants' subsequent verbal descriptions using automated linguistic coding. Beliefs about the consequences of smoking were measured before and after the main experiment using surveys.
resultsIncreased brain activation in self- and value-related subregions of the medial prefrontal cortex during message exposure was associated with subsequent sharing engagement when participants verbally talked about the ads. In addition, sharing engagement was significantly associated with changes in participants' beliefs about the social consequences of smoking.
conclusionsNeural activity in self- and value-related subregions of the medial prefrontal cortex during exposure to "The Real Cost" campaign was associated with subsequent sharing engagement, which in turn was related to social belief change. These results provide new insights into the link between neurocognitive responses to ads, the content of interpersonal sharing, and downstream health-relevant outcomes. SUPPLEMENT INFORMATION: This article is part of a supplement entitled Fifth Anniversary Retrospective of "The Real Cost," the Food and Drug Administration's Historic Youth Smoking Prevention Media Campaign, which is sponsored by the U.S. Food and Drug Administration.
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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.