Evidence map›Paper›PMID 31991328›Full record

ArticleDrug and alcohol dependence2020

Do tobacco industry websites target content to specific demographic groups?

Patricia Escobedo, Kai-Ya Tsai, Anuja Majmundar, Jon-Patrick Allem, Daniel W Soto, Monica Pattarroyo, Jennifer B Unger, Tess Boley Cruz

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Patricia EscobedoDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address: pescobed@usc.edu.
Kai-Ya TsaiDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Anuja MajmundarDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jon-Patrick AllemDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Daniel W SotoDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Monica PattarroyoDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jennifer B UngerDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Tess Boley CruzDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI John R Monterosso · 2018 to 2026
$39.0M
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
Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
NCI NIH HHS P50 CA180905NCI NIH HHS T32 CA009492NCI NIH HHS U54 CA180905
6 · The paper itself

Abstract

backgroundPrior research has not examined whether tobacco brand websites vary content based on audience demographics. This study explored whether marketing content on tobacco brand websites varied by user ethnicity, gender or age group.

methodsParticipants (n = 32) were adult smokers, representing equal numbers of eight demographic groups: user ethnicity (Non-Hispanic White, Hispanic, African American, Asian), gender (women, men) and age (age 21-35, age 36+). This study examined 12 tobacco brand websites representing four tobacco product categories (cigarettes, cigar/cigarillos, smokeless tobacco, and e-cigarettes). From January 2016 to January 2017, participants coded websites for themes, interactive activities, and links to social media sites (n = 874 website visits). Logistic regression was used to analyze observed content by participant ethnicity, age and gender.

resultsAll themes, all interactive activities and all links to social media were observed at least once for each demographic category. Male participants were more likely to observe Harm reduction themes, while female participants were more likely to observe Promotion themes. Older participants were more likely to observe website features allowing them to select music, and request coupons. Compared to Non-Hispanic White participants, African American participants were more likely to observe links to social media sites.

conclusionTobacco brand website content varied across ethnic, age and gender groups. These findings suggest that other factors, such as tobacco use behaviors, may influence marketing strategies participants recall or find appealing. The findings from this study can inform future regulatory activities and communication strategies aimed at countering pro-tobacco content online.

Indexed as

AdultBlack or African AmericanEthnicityFemaleHumansLogistic ModelsMaleMarketingSmokersSocial MediaTobacco IndustryTobacco UseWhite PeopleYoung AdultCigarettesElectronic cigarettesInternetMarketingSocial mediaTobacco

Identifiers

PMID31991328
PMCPMC7039770

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.