Evidence map›Paper›PMID 38718146›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2024

Using Eye tracking to Examine Young Adults' Visual Attention to E-cigarette Advertising Features and Associated Positive E-cigarette Perceptions.

Julia Chen-Sankey, Caitlin Weiger, Kathryn La Capria

Abstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

3 authors.

Julia Chen-SankeyRutgers Biomedical and Health Sciences, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.ORCID 0000-0002-1797-5248
Caitlin WeigerRutgers Biomedical and Health Sciences, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.
Kathryn La CapriaRutgers Biomedical and Health Sciences, Institute for Nicotine and Tobacco Studies, New Brunswick, NJ, USA.

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
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 P30 CA072720NCI NIH HHS R00 CA242589NCI NIH HHS R00CA242589
6 · The paper itself

Abstract

backgroundLittle is known about the influence of e-cigarette marketing features on the antecedents of e-cigarette use. PURPOSE: Using an eye-tracking experiment, we examined visual attention to common features in e-cigarette ads and its associations with positive e-cigarette perceptions among young adults.

methodsYoung adults (ages 18-29) who smoke cigarettes (n = 40) or do not use tobacco (n = 71) viewed 30 e-cigarette ads on a computer screen. Eye-tracking technology measured dwell time (fixation duration) and entry time (time to first fixation) for 14 pre-defined ad features. Participants then completed a survey about perceptions of e-cigarettes shown in the ads. We used regression models to examine the associations between ad features and standardized attention metrics among all participants and by tobacco-use status and person-aggregated standardized attention for each ad feature and positive e-cigarette perceptions.

resultsDwell time was the longest for smoker-targeted claims, positive experience claims, and price promotions. Entry time was the shortest for multiple flavor descriptions, nicotine warnings, and people. Those who do not use tobacco had a longer dwell time for minor sales restrictions and longer entry time for purchasing information than those who smoke. Longer dwell time for multiple flavor descriptions was associated with e-cigarette appeal. A shorter entry time for fruit flavor description was associated with positive e-cigarette-use expectancies.

conclusionsYoung adults allocated attention differently to various e-cigarette ad features, and such viewing patterns were largely similar by tobacco-use statuses. Multiple or fruit flavors may be the features that contribute to the positive influence of e-cigarette marketing among young adults.

Indexed as

AdvertisingAttentionElectronic Nicotine Delivery SystemsEye-Tracking TechnologyAdolescentAdultFemaleHumansMaleVapingYoung AdultAdvertisement featuresE-cigarettesEye-trackingMarketing influenceYoung adults

Identifiers

PMID38718146
PMCPMC11112278

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Registered trials

None linked

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.