Evidence map›Paper›PMID 41416972›Full record

ArticleAmerican journal of preventive medicine2026

Neural Predictors of Vaping: Covert Emotional Engagement Versus Reactance to Overt Emotional Appeals in Vaping Prevention Message Processing.

Jiaying Liu, Yidi Wang, Jessica L Fabbricatore, Emily Norton, Colleen E Markey, Joshua T McMains, Allison Worsdale, Tianlai Ye, Zhenhao Shi, Lawrence H Sweet

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jiaying LiuDepartment of Communication, University of California Santa Barbara, Santa Barbara, California. Electronic address: jiaying-liu@ucsb.edu.
Yidi WangDepartment of Communication, University of California Santa Barbara, Santa Barbara, California.
Jessica L FabbricatoreSchool of Communication, East Carolina University, Greenville, North Carolina.
Emily NortonDepartment of Psychology, University of Georgia, Athens, Georgia.
Colleen E MarkeyDepartment of Psychology, University of Georgia, Athens, Georgia.
Joshua T McMainsDepartment of Psychological Science, University of North Carolina at Charlotte, Charlotte, North Carolina.
Allison WorsdaleLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Tianlai YeDepartment of Communication, University of California Santa Barbara, Santa Barbara, California.
Zhenhao ShiDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
Lawrence H SweetDepartment of Psychology, University of Georgia, Athens, Georgia.

Funding

Neuroimaging approaches to improve prediction of smoking initiation and nicotine use escalation among young adult electronic nicotine delivery systems usersK01DA049292 · NIDA · UNIVERSITY OF GEORGIA · PI LIU, JIAYING · 2020 to 2024
$872k
A neuroimaging approach to advance mechanistic understanding of tobacco use escalation risk among young adult African American vapersR21DA056570 · NIDA · UNIVERSITY OF GEORGIA · PI LIU, JIAYING, SWEET, LAWRENCE H · 2022 to 2023
$415k
NIDA NIH HHS K01 DA049292NIDA NIH HHS R21 DA056570
6 · The paper itself

Abstract

introductionVaping products are the most widely used tobacco products among young adults in the U.S., driven partly by added flavors that are palatable and misperceived as safe. Vaping prevention public service announcements often use cognitive, emotional, and social appeals, yet little is known about the neurobehavioral mechanisms driving their effectiveness. This study employed functional magnetic resonance imaging to determine whether neural responses to vaping prevention public service announcements in the salience, emotional, cognitive control, and default mode networks predict subsequent vaping and whether these effects vary by message type.

methodsForty-six young adult nonsmokers who vaped ≥15 days during the past month viewed vaping prevention public service announcements during functional magnetic resonance imaging. Public service announcements were adapted from existing campaigns with cognitive, emotional, and social appeals. Subsequent vaping behavior was tracked weekly for 1 month. Data were collected between 2019 and 2022, with formal analyses conducted in 2024.

resultsGreater reactivity in the emotional network during public service announcement exposure predicted reduced vaping 1 month later, especially when viewing cognitive and social public service announcement. In contrast, heightened cognitive control network reactivity was linked to increased vaping, driven primarily by responses to emotional public service announcements.

conclusionsEmotional network responses to cognitive and social public service announcements and cognitive control responses to emotional public service announcements may serve as useful and possibly differential neuromarkers of future vaping behavior. Specifically, public service announcements that elicit reflective emotional processing may be more effective than those relying on overt emotional intensity. These findings suggest the utility of functional magnetic resonance imaging in informing optimization of health message design in the evolving nicotine product landscape.

Indexed as

EmotionsPublic Service Announcements as TopicVapingAdultFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID41416972
PMCPMC13423676

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.