Evidence map›Paper›PMID 34976651›Full record

ArticlePreventive medicine reports2021

Sociodemographic differences in young adults' recall of tobacco and cannabis marketing online and in television/film.

Evan A Krueger, Mariel S Bello, Jennifer Unger, Tess Boley Cruz, Jessica L Barrington-Trimis, Jessica L Braymiller, H Isabella Lanza, Julia Cen Chen-Sankey, Junhan Cho, Rob McConnell and 1 more

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2021. 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
0.8field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Efforts to Secure Nicotine and Cannabis Product Placements in Popular Media by Ploom, Pax, and Juul: An Analysis of Tobacco Industry Documents.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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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

11 authors at 5 institutions in 1 country.

Evan A KruegerSchool of Social Work, Tulane University, New Orleans, LA 70112, United States.
Mariel S BelloDepartment of Psychology, University of Southern California, Los Angeles, CA 90032, United States.
Jennifer UngerDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, United States.
Tess Boley CruzDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, United States.
Jessica L Barrington-TrimisDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, United States.
Jessica L BraymillerDepartment of Community Health and Health Behavior, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY 14214, United States.
H Isabella LanzaDepartment of Human Development, California State University Long Beach, CA 90840, United States.
Julia Cen Chen-SankeyDepartment of Health Behavior, Society and Policy, Rutgers University School of Public Health, New Brunswick, NJ 08901, United States.
Junhan ChoDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, United States.
Rob McConnellDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90032, United States.
Adam M LeventhalDepartment of Psychology, University of Southern California, Los Angeles, CA 90032, United States.
University of Southern California · USCalifornia State University, Long Beach · USRutgers, The State University of New Jersey · USTulane University · USUniversity at Buffalo, State University of New York · US

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jennifer Beth Unger · 2018 to 2026
$39.0M
Vaping Nicotine and Cannabis Across Adolescence and Young AdulthoodR01CA229617 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BARRINGTON-TRIMIS, JESSICA LOUISE, LEVENTHAL, ADAM MATTHEW · 2019 to 2024
$4.3M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
Understanding Transitions from Vaping to Smoking Across AdolescenceK01DA042950 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BARRINGTON-TRIMIS, JESSICA LOUISE · 2017 to 2021
$1.0M
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 K99 CA242589NCI NIH HHS R00 CA242589NCI NIH HHS R01 CA229617NCI NIH HHS U54 CA180905NIDA NIH HHS K01 DA042950NIDA NIH HHS K24 DA048160
6 · The paper itself

Abstract

Young adults (YA) who report viewing pro-tobacco and cannabis marketing are at increased risk for using tobacco and cannabis. However, there is a growing diversity of tobacco and cannabis products on the market, as well as methods for marketing them. Prevalence of, and sociodemographic differences in, YA's recall of various types of tobacco and cannabis marketing is not well-characterized. Data were from a cohort of YA (mean age: 19.8) from Southern California in 2019. Respondents were asked whether they recalled having seen two types of marketing (online advertisements and portrayals of product use in TV/movies) for 5 tobacco and 3 cannabis products among never-users of tobacco (N = 954) and cannabis (N = 1,046), respectively. Sociodemographic differences in marketing recall were subsequently assessed. Among tobacco-naïve respondents, 31.3% and 49.3% recalled seeing online advertisements and tobacco use in TV/movies, respectively. Among cannabis-naïve respondents, 18.7% and 31.0% recalled seeing online advertisements and cannabis use in TV/movies, respectively. Overall, respondents recalled seeing tobacco and cannabis products on TV/movies at higher rates than seeing online advertisements, with the exception of electronic cigarettes, for which online advertisements were seen at higher rates. Women (vs. men) had higher odds of seeing tobacco (aOR = 1.9) and cannabis use in TV/movies (aOR = 1.4) and cannabis marketing online (aOR = 1.4). LGB (vs. straight) respondents had higher odds of seeing cannabis marketing online (aOR = 1.7). Efforts to regulate exposure to tobacco and cannabis marketing among young women and LGB people merit further consideration.

Indexed as

Cannabis marketingSociodemographic characteristicsTobacco marketingYoung adults

Identifiers

PMID34976651
PMCPMC8683941
OpenAlexW3205051667

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.