Evidence map›Paper›PMID 36152822›Full record

ArticlePreventive medicine2022

Longitudinal associations between U.S. youth exposure to E-cigarette marketing and E-cigarette use harm perception and behavior change.

Cassandra A Stanton, Keryn E Pasch, Irene Pericot-Valverde, Raul Cruz-Cano, Meghan B Moran, Melissa H Abadi, Darren Mays, Melissa Mercincavage, Zhiqun Tang, Julia Chen-Sankey

Abstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 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.

Cassandra A StantonBehavioral Health and Health Policy, Westat, Rockville, MD, United States of America.
Keryn E PaschDepartment of Kinesiology and Health Education at the University of Texas, Austin, TX, United States of America.
Irene Pericot-ValverdeCollege of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, United States of America.
Raul Cruz-CanoDepartment of Epidemiology and Biostatistics Indiana University School of Public Health-Bloomington, University of Maryland, College Park, MD, United States of America.
Meghan B MoranDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Melissa H AbadiPacific Institute for Research & Evaluation, Louisville, KY, United States of America.
Darren MaysDepartment of Internal Medicine, College of Medicine, Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America.
Melissa MercincavageDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Zhiqun TangBehavioral Health and Health Policy, Westat, Rockville, MD, United States of America.
Julia Chen-SankeyCenter for Tobacco Studies, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, United States of America; School of Public Health, Rutgers University, Piscataway, NJ, United States of America. Electronic address: JC.Sankey@Rutgers.edu.

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
Leadership and Logistics CoreU54DA046060 · NIDA · WESTAT, INC. · PI Andrea M Stroup · 2018 to 2026
$28.1M
Tobacco Industry Marketing CoreU54CA229973 · NCI · UNIVERSITY OF PENNSYLVANIA · PI WACKOWSKI, OLIVIA · 2018 to 2022
$18.8M
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 U54 CA229973NIDA NIH HHS U54 DA046060
6 · The paper itself

Abstract

E-cigarette marketing tactics to reach and appeal to youth are rapidly changing. This study examined to what extent youth e-cigarette marketing exposure was associated with e-cigarette use behavior change one year later, during a time when youth e-cigarette use was starting to surge in the U.S. Using nationally representative longitudinal public-use data from the Population Assessment of Tobacco and Health (PATH) Study, we examined associations between recalled e-cigarette marketing exposure (2016-2018) at Wave (W) 4 and e-cigarette use harm perception and behavior change (ever, current, and regular use) one year later (W4.5; 2017-2018) among W4 never tobacco users (n = 9405). Recall of exposure to e-cigarette marketing through different channels was also examined in multivariable models controlling for socio-demographic factors and established e-cigarette use risk factors. Results show that the most frequently recalled channels of e-cigarette marketing exposure were retail stores (50.3%), television (22.2%), and websites/social media (20.2%). Over one year, 21.2%, 7.8%, 3.4%, and 1.2% of respondents reported reduced harm perceptions, and ever, current, and regular use of e-cigarettes, respectively, at follow-up. Recalled exposure to e-cigarette marketing was associated with reduced e-cigarette harm perception (AOR = 1.20; 95% CI = 1.05-1.37) and ever (AOR = 1.26; 95% CI = 1.01-1.56) and current use (AOR = 1.40; 95% CI = 1.02-1.92) at follow-up. E-cigarette marketing exposure through websites/social media was associated with reduced harm perceptions and all stages of e-cigarette use change, including regular use. Identifying marketing techniques and channels that change youth e-cigarette harm perceptions and influence e-cigarette use progression is essential to inform e-cigarette regulatory policies and prevention campaigns.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingAdolescentHumansMarketingPerceptionSmokingE-cigarette preventionE-cigarettesE-cigarette useMarketingSocial mediaYouth

Identifiers

PMID36152822
PMCPMC9691545

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.