Evidence map›Paper›PMID 38521029›Full record

ArticlePublic health2024

Racial/ethnic disparities in exposure to e-cigarette advertising among U.S. youth.

V V Do, C A Spears, P M Ling, M P Eriksen, S R Weaver, T F Pechacek, A L Nyman, S L Emery, C J Berg, J Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. How People with COPD Perceive and Communicate Exacerbations: A Multicountry Survey Study.International journal of chronic obstructive pulmonary disease · 2025
    Article
  6. Vaping ΔExpert review of clinical pharmacology
    Review
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.

V V DoDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
C A SpearsDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
P M LingCenter for Tobacco Control Research and Education, University of California San Francisco, San Francisco, CA, USA; Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA.
M P EriksenDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
S R WeaverDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
T F PechacekDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
A L NymanDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
S L EmeryNORC at University of Chicago, Chicago, IL, USA.
C J BergDepartment of Prevention & Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA.
J HuangDepartment of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA. Electronic address: jhuang17@gsu.edu.

Funding

Assessing the Intended and Unintended Consequences of E-cigarette TV AdvertisingR01CA194681 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HUANG, JIDONG · 2015 to 2019
$3.7M
NCI NIH HHS R01 CA194681
6 · The paper itself

Abstract

objectivesThis study aims to assess exposure to e-cigarette advertising across multiple marketing channels among U.S. youth and to examine whether racial/ethnic disparities exist in exposure to e-cigarette advertisements. STUDY

designThis is a cross-sectional study.

methodsCross-sectional data were drawn from a longitudinal survey of participants recruited from two nationally representative panels (NORC's AmeriSpeak® and GfK's KnowledgePanel). A total of 2043 youth aged 13-17 completed the initial 2018 survey, and 2013 youth completed the follow-up survey in 2019 (including a replenishment sample of 690 youth). Outcome variables were self-reported e-cigarette advertisement exposure in the past three months through various sources, such as television, point of sale, and online/social media. Generalized estimating equation models were used to estimate the adjusted odds ratios (AOR) of the association between racial/ethnic identity and e-cigarette advertisement exposure.

resultsThe prevalence of reported exposure to e-cigarette advertisements through any channel was 79.8% (95% CI: 77.1-82.2) in 2018 and 74.9% (95% CI: 72.5-77.1) in 2019, respectively. Point of sale was the most common source of e-cigarette advertisement exposure in both years. Non-Hispanic Black and non-Hispanic Asian youth were more likely to report exposure to e-cigarette advertisements through television (AOR = 2.07, 95% CI: 1.44-2.99 and AOR = 2.11, 95% CI: 1.17-3.82, respectively) and online/social media (AOR = 1.61; 95% CI: 1.11-2.33 and AOR = 1.99, 95% CI: 1.10-3.59, respectively) channels compared with non-Hispanic White youth.

conclusionsA substantial proportion of U.S. youth reported exposure to e-cigarette advertising through a variety of marketing channels. Significant racial/ethnic disparities existed, with non-Hispanic Black and Asian youth reporting more marketing exposure than their non-Hispanic White counterparts.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdolescentAdvertisingCross-Sectional StudiesHumansMarketingAdvertisingE-cigarettesMarketingRacial/ethnic disparities

Identifiers

PMID38521029
PMCPMC11369641

What OpenQuestion holds

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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.