Evidence map›Paper›PMID 36231939›Full record

ArticleInternational journal of environmental research and public health2022

Association between E-Cigarette Advertising Exposure and Use of E-Cigarettes among a Cohort of U.S. Youth and Young Adults.

Vuong V Do, Amy L Nyman, Yoonsang Kim, Sherry L Emery, Scott R Weaver, Jidong Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Recognition of Online E-cigarette Marketing and E-cigarette-Related Attitudes and Behaviors Among Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

6 authors.

Vuong V DoDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA.ORCID 0000-0003-2140-9772
Amy L NymanTobacco Center of Regulatory Science, School of Public Health, Georgia State University, Atlanta, GA 30303, USA.
Yoonsang KimNORC at University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-1685-1753
Sherry L EmeryNORC at University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-9278-9990
Scott R WeaverDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA.
Jidong HuangTobacco Center of Regulatory Science, School of Public Health, Georgia State University, Atlanta, GA 30303, USA.ORCID 0000-0002-3425-9155

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
Smokers’ Decision-Making about Tobacco Use: The Interplay of Affective and Cognitive Factors with Product CharacteristicsR01CA235719 · NCI · GEORGIA STATE UNIVERSITY · PI PECHACEK, TERRY FRANK, WEAVER, SCOTT R · 2019 to 2023
$3.1M
NCI NIH HHS R01 CA194681NCI NIH HHS R01 CA235719NIH HHS R01CA194681NIH HHS R01CA235719
6 · The paper itself

Abstract

Youth and young adult (YYA) use of e-cigarettes increased rapidly between 2010 and 2019 in the United States, during which exposure to e-cigarette advertising was also increased. We aimed to examine whether exposure to e-cigarette advertising among YYAs may lead to subsequent e-cigarette use. A cohort of 3886 YYAs ages 13-24 was recruited from two survey panels in 2018 and followed up until 2019. Survey data were collected online and by telephone. The primary outcome was past 30-day use of e-cigarettes at the follow-up survey. Among 2304 YYAs who retained at the follow-up survey and were not past 30-day e-cigarette users at baseline, both youth and young adults exposed to e-cigarette advertising at baseline had elevated odds of past 30-day e-cigarette use at follow-up (Youth adjusted odds ratio (aOR): 2.77, 95% CI: 1.23, 6.24; Young adults aOR: 2.34, 95% CI: 1.08, 5.11) compared with those not reporting baseline advertising exposure. The majority of YYAs reported exposure to e-cigarette advertising at baseline (Youth: 63.7%, 95% CI: 59.8, 67.4; Young adults: 58.3%, 95% CI: 53.6, 62.8). Our findings suggest that exposure to e-cigarette advertising was associated with an increase in subsequent past 30-day use of e-cigarettes among YYAs. Restricting advertising targeted at YYAs may reduce the likelihood of e-cigarette use among YYAs.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingAdolescentAdultAdvertisingHumansSmokingUnited StatesYoung Adultadvertisinge-cigarettesmarketing

Identifiers

PMID36231939
PMCPMC9566774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.