Evidence map›Paper›PMID 38923723›Full record

ArticleAddiction (Abingdon, England)2025

Young adults' visual attention to features of social media marketing for disposable e-cigarettes and associated perceptions.

Julia Chen-Sankey, Caitlin Weiger, Kathryn La Capria, Julia Vassey, Michelle Jeong, Lilianna Phan, Jennifer B Unger, Jon-Patrick Allem, Carla J Berg, Kelvin Choi

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Julia Chen-SankeyRutgers University, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.ORCID 0000-0002-1797-5248
Caitlin WeigerRutgers University, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.
Kathryn La CapriaRutgers University, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.
Julia VasseyKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Michelle JeongRutgers University, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.
Lilianna PhanDornsife School of Public Health and College of Nursing and Health Professions, Drexel University, Philadelphia, PA, USA.
Jennifer B UngerKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jon-Patrick AllemRutgers University, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.
Carla J BergMilken Institute School of Public Health, George Washington University, Washington, DC, USA.
Kelvin ChoiDivision of Intramural Research, National Institute of Minority Health and Health Disparities, Bethesda, MD, USA.ORCID 0000-0002-6753-2883

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
Tobacco Industry Marketing CoreU54CA229973 · NCI · UNIVERSITY OF PENNSYLVANIA · PI STRASSER, ANDREW A · 2018 to 2022
$18.8M
Catalyzing Systemic Change at Drexel University to Support Diverse Faculty in Health Disparities Research - Administrative SupplementU54CA267735 · NCI · DREXEL UNIVERSITY · PI MCCLURE, LESLIE AIN · 2021 to 2024
$14.2M
Understanding and reducing tobacco-related health disparities through social and behavioral researchZIAMD000006 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI CHOI, KELVIN · 2015 to 2025
$7.0M
Stimuli-responsive crosslinked theranostics against advanced prostate cancerR01CA199668 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LI, YUANPEI · 2015 to 2019
$1.8M
Smart targeting nano-theranostics for image-guided drug delivery to pediatric brain tumorsR01HD086195 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LI, YUANPEI · 2016 to 2020
$1.6M
The Impact of E-cigarette Marketing Features on Youths' E-cigarette Perceptions and Use IntentionsK01CA242591 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI JEONG, MICHELLE · 2019 to 2023
$964k
Understanding the Influence of E-cigarette Advertisement FeaturesR00CA242589 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI CHEN-SANKEY, JULIA CEN · 2021 to 2024
$842k
NCI NIH HHS K01 CA242591NCI NIH HHS K01CA242591NCI NIH HHS P30 CA072720NCI NIH HHS P30CA072720NCI NIH HHS R00 CA242589NCI NIH HHS R00CA242589NCI NIH HHS R01 CA199668NCI NIH HHS U54 CA229973NCI NIH HHS U54CA229973NCI NIH HHS U54 CA267735NCI NIH HHS U54CA267735NICHD NIH HHS R01 HD086195
6 · The paper itself

Abstract

BACKGROUND AND

aimsE-cigarette marketing exposure on social media influences perceptions; however, limited knowledge exists regarding marketing features attracting the most visual attention. This study examined visual attention to features of social media marketing for disposable e-cigarettes and related product perceptions. DESIGN, SETTING AND

participantsParticipants viewed 32 disposable marketing post images from social media (Instagram) using computer-based eye-tracking technology to assess standardized attention metrics of marketing features. They then completed a survey assessing positive product perceptions. The study took place in New Jersey, USA, June-September 2022, comprising young adults (aged 18-29) who do not use tobacco (n = 72) or who smoke cigarettes (n = 42). MEASUREMENTS: We examined associations between 14 marketing features (e.g. product package, personal item, fruit/candy descriptor, social media account) and standardized attention metrics of dwell time (fixation duration) and entry time (time to first fixation). Then, we assessed attention metrics for each feature in relation to positive product perceptions (appeal and positive use expectancy).

findingsAmong all participants, dwell time was the longest for the product descriptor [marginal means (MM) = 1.77; 95% confidence interval (CI) = 1.69, 1.86], social media account (MM = 1.76; 95% CI = 1.67, 1.85) and fruit/candy descriptor features (MM = 1.56; 95% CI = 1.41, 1.70); entry time was the shortest for the social media account (MM = 0.35; 95% CI = 0.26, 0.46), personal item (MM = 0.36; 95% CI = 0.17, 0.56) and human model features (MM = 0.40; 95% CI = 0.08, 0.72). Two use status groups had comparable dwell and entry times, except for the product descriptor feature. Longer dwell time for the product package feature increased positive product perceptions among both use status groups [regression coefficient (β) = 0.44 and 2.61]. Longer dwell time for fruit/candy descriptor (β = 1.80) and price promotion features (β = 4.04) increased positive product perceptions among those who smoke.

conclusionsUS young adults appear to be particularly visually engaged by disposable e-cigarette marketing that uses social media account features (account profile pictures, information about the products marketed and relevant hashtags) and features enhancing the products' personal relatability. Disposable product packages, fruit/candy descriptors and price promotions may increase the influence of social media marketing among various use status groups.

Indexed as

AttentionElectronic Nicotine Delivery SystemsMarketingSocial MediaVapingAdolescentAdultEye-Tracking TechnologyFemaleHumansMaleNew JerseyYoung AdultDisposable E‐cigaretteseye‐trackingmarketing featuresmarketing influencesocial media marketingvisual attentionyoung adults

Identifiers

PMID38923723
PMCPMC11813734

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.