Evidence map›Paper›PMID 30329102›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2019

Tobacco Advertisement Liking, Vulnerability Factors, and Tobacco Use Among Young Adults.

Brianna A Lienemann, Shyanika W Rose, Jennifer B Unger, Helen I Meissner, M Justin Byron, Lourdes Baezconde-Garbanati, Li-Ling Huang, Tess Boley Cruz

Open access · bronzeAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Exploring Young Adults' Beliefs About Cigar Smoking by Susceptibility: A Belief Elicitation Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
  2. Willingness to Use Commercial Nicotine Gums, Lozenges, and Gummies Among Nontobacco Using Adolescents in Southern California.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    Trial
  3. Testing the Effects of Hookah Tobacco Social Media Risk Communication Messages Among Young Adults.Health education & behavior : the official publication of the Society for Public Health Education · 2021
    Trial
  4. Tobacco Advertising Features That May Contribute to Product Appeal Among US Adolescents and Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Trial
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  11. Peer Crowds and Tobacco Product Use in Hawai'i: A Qualitative Study.International journal of environmental research and public health · 2023
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  14. Real-Time Context of Tobacco Marketing Exposure and Community Vulnerability-An Ecological Momentary Assessment Among Young Adults.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022
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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

8 authors at 4 institutions in 2 countries.

Brianna A LienemannDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Shyanika W RoseTruth Initiative Schroeder Institute, Washington, DC.
Jennifer B UngerDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Helen I MeissnerTobacco Regulatory Science Program, Office of Disease Prevention, National Institutes of Health, Bethesda, MD.
M Justin ByronLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Lourdes Baezconde-GarbanatiDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Li-Ling HuangLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Tess Boley CruzDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.
University of Southern California · USUniversity of North Carolina at Chapel Hill · USAmerican Legacy Foundation · USNational Institutes of Health · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jessica Louise Barrington-Trimis · 2018 to 2026
$39.0M
Training & Education Program p294-308P50CA180907 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RIBISL, KURT M. · 2013 to 2017
$20.2M
USC Tobacco Center of Regulatory Science (TCORS) for Vulnerable PopulationsP50CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN, SAMET, JONATHAN M · 2013 to 2017
$20.1M
Leadership and Administrative Core (p 188-304)U54CA189222 · NCI · WESTAT, INC. · PI ABRAMS, DAVID BRIAN, ROSENTHAL, JEANNE · 2014 to 2018
$8.5M
Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
NCI NIH HHS P30 CA014089NCI NIH HHS P50 CA180905NCI NIH HHS P50 CA180907NCI NIH HHS T32 CA009492NCI NIH HHS U54 CA180905NCI NIH HHS U54 CA189222
6 · The paper itself

Abstract

introductionYoung adulthood (aged 18-24) is a crucial period in the development of long-term tobacco use patterns. Tobacco advertising and promotion lead to the initiation and continuation of smoking among young adults. We examined whether vulnerability factors moderated the association between tobacco advertisement liking and tobacco use in the United States.

methodsAnalyses were conducted among 9109 US young adults in the nationally representative Population Assessment of Tobacco and Health (PATH) Study wave 1 (2013-14). Participants viewed 20 randomly selected sets of tobacco advertisements (five each for cigarettes, e-cigarettes, cigars, and smokeless tobacco) and indicated whether they liked each ad. The outcome variables were past 30-day cigarette, e-cigarette, cigar, and smokeless tobacco use. Covariates included tobacco advertisement liking, age, sex, race or ethnicity, sexual orientation, education, poverty level, military service, and internalizing and externalizing mental health symptoms.

resultsLiking tobacco advertisements was associated with tobacco use, and this association was particularly strong among those with lower educational attainment (cigarettes, cigars) and living below the poverty level (e-cigarettes, smokeless tobacco).

conclusionsThe association between tobacco advertisement liking and tobacco use was stronger among young adults with lower educational attainment and those living below the poverty level. Policies that restrict advertising exposure and promote counter-marketing messages in this population could reduce their risk. IMPLICATIONS: This study shows that liking tobacco advertisements is associated with current tobacco use among young adults, with stronger associations for vulnerable young adults (ie, lower education levels and living below the poverty level). Findings suggest a need for counter-marketing messages, policies that restrict advertising exposure, and educational interventions such as health and media literacy interventions to address the negative influences of tobacco advertisements, especially among young adults with a high school education or less and those living below the poverty level.

Indexed as

AdolescentAdultAdvertisingFemaleHumansMaleMarketingRisk FactorsTobacco UseUnited StatesVulnerable PopulationsYoung Adult

Identifiers

PMID30329102
PMCPMC6611945
OpenAlexW2897449167

What OpenQuestion holds

Textmetadata
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.