Evidence map›Paper›PMID 26236763›Full record

ArticleTobacco regulatory science2015

Content Analysis of Trends in Print Magazine Tobacco Advertisements.

Smita Banerjee, Elyse Shuk, Kathryn Greene, Jamie Ostroff

Abstract read
In one paragraph

Article in Tobacco regulatory science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Trial
  2. Optimizing Images for an E-Cigarette Messaging Campaign: Liking and Perceived Effectiveness.International journal of environmental research and public health · 2021
    Trial
  3. 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
  4. An Experimental Study of Nicotine Warning Statements in E-cigarette Tweets.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  5. Article
  6. Article
  7. Article
  8. Key Informants' Perceptions of Health Equity and Racial Justice Impacts of the 2019 Massachusetts An Act Modernizing Tobacco Control.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. E-Cigarette Advertising in the UK: A Content Analysis of Traditional and Social Media Advertising to Observe Compliance with Current Regulations.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  14. Flavors and Implied Reduced-Risk Descriptors in Cigar Ads at Stores Near Schools.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Marketing Exposure Recall is Associated With Past 30-Day Single, Dual, Polytobacco Use Among US Adolescents.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    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

4 authors.

Smita BanerjeeAssistant Attending Behavioral Scientist, Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY.
Elyse ShukQualitative Methods Specialist, Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY.
Kathryn GreeneProfessor, Department of Communication, Rutgers University, New Brunswick, NJ.
Jamie OstroffAttending Psychologist, Vice Chair of Research, Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Exploring Persuasiveness of Non Cigarette Tobacco Product (NCTP) Advertising on YR03DA035242 · NIDA · SLOAN-KETTERING INST CAN RESEARCH · PI BANERJEE, SMITA · 2013 to 2013
$132k
NCI NIH HHS P30 CA008748NIDA NIH HHS R03 DA035242
6 · The paper itself

Abstract

objectivesTo provide a descriptive and comparative content analysis of tobacco print magazine ads, with a focus on rhetorical and persuasive themes.

methodsPrint tobacco ads for cigarettes, cigars, e-cigarettes, moist snuff, and snus (N = 171) were content analyzed for the physical composition/ad format (e.g., size of ad, image, setting, branding, warning label) and the content of the ad (e.g., rhetorical themes, persuasive themes).

resultsThe theme of pathos (that elicits an emotional response) was most frequently utilized for cigarette (61%), cigar (50%), and moist snuff (50%) ads, and the theme of logos (use of logic or facts to support position) was most frequently used for e-cigarette (85%) ads. Additionally, comparative claims were most frequently used for snus (e.g., "spit-free," "smoke-free") and e-cigarette ads (e.g., "no tobacco smoke, only vapor," "no odor, no ash"). Comparative claims were also used in cigarette ads, primarily to highlight availability in different flavors (e.g., "bold," "menthol").

conclusionsThis study has implications for tobacco product marketing regulation, particularly around limiting tobacco advertising in publications with a large youth readership and prohibiting false or misleading labels, labeling, and advertising for tobacco products, such as modified risk (unless approved by the FDA) or therapeutic claims.

Indexed as

cigarettescontent analysise-cigarettespersuasiontobacco advertising

Identifiers

PMID26236763
PMCPMC4517845

What OpenQuestion holds

Textmetadata
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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.