Evidence map›Paper›PMID 28937865›Full record

ArticleJournal of health communication2017

Recall of "The Real Cost" Anti-Smoking Campaign Is Specifically Associated With Endorsement of Campaign-Targeted Beliefs.

Elissa C Kranzler, Laura A Gibson, Robert C Hornik

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of health communication, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06308081 (SMART), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 16% 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.

NCT06308081 nacompletednot on this mapstarted 2024, after this paper: background citation

SMART: Social Media Anti-Vaping Messages to Reduce ENDS Use Among Sexual and Gender Minority Teens

TypeinterventionalSponsorAbramson Cancer Center at Penn MedicineRan2024 to 2025Enrolled1,155ConditionsVaping, Adolescent Behavior, Communication ResearchArmsTailored
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Understanding Potential Mechanisms of Vaping Prevention Messages: A Mediation Analysis of the Real Cost Campaign Advertisements.Health education & behavior : the official publication of the Society for Public Health Education · 2025
    Trial
  2. Trial
  3. Targeted Versus Nontargeted Communication About Electronic Nicotine Delivery Systems in Three Smoker Groups.International journal of environmental research and public health · 2018
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Aided recall ofPreventive medicine reports · 2022
    Article
  11. Article
  12. Beliefs About the Health Effects of Smoking Among Adults in the United States.Health education & behavior : the official publication of the Society for Public Health Education · 2022
    Article
  13. Associations Between Nicotine Knowledge and Smoking Cessation Behaviors Among US Adults Who Smoke.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Adolescents' Aided Recall of Targeted and Non-Targeted Tobacco Communication Campaigns in the United States.International journal of environmental research and public health · 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

3 authors at 1 institution in 1 country.

Elissa C Kranzlera Annenberg School for Communication , University of Pennsylvania , Philadelphia , Pennsylvania , USA.
Laura A Gibsona Annenberg School for Communication , University of Pennsylvania , Philadelphia , Pennsylvania , USA.
Robert C Hornika Annenberg School for Communication , University of Pennsylvania , Philadelphia , Pennsylvania , USA.ORCID 0000-0002-2148-8805
University of Pennsylvania · US

Funding

UPENN TCORS: Tobacco Product Messaging in a Complex Communication EnvironmentP50CA179546 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C., LERMAN, CARYN · 2013 to 2017
$18.7M
NCI NIH HHS P50 CA179546
6 · The paper itself

Abstract

Though previous research suggests the FDA's "The Real Cost" anti-smoking campaign has reduced smoking initiation, the theorized pathway of effects (through targeted beliefs) has not been evaluated. This study assesses the relationship between recall of campaign television advertisements and ad-specific anti-smoking beliefs. Respondents in a nationally representative survey of nonsmoking youths age 13-17 (n = 4,831) reported exposure to four The Real Cost advertisements and a fake ad, smoking-relevant beliefs, and nonsmoking intentions. Analyses separately predicted each targeted belief from specific ad recall, adjusting for potential confounders and survey weights. Parallel analyses with non-targeted beliefs showed smaller effects, strengthening claims of campaign effects. Recall of four campaign ads (but not the fake ad) significantly predicted endorsement of the ad-targeted belief (Mean β = .13). Two-sided sign tests indicated stronger ad recall associations with the targeted belief relative to the non-targeted belief (p < .05). Logistic regression analyses indicated that respondents who endorsed campaign-targeted beliefs were more likely to have no intention to smoke (p < .01). This study is the first to demonstrate a relationship between recall of ads from The Real Cost campaign and the theorized pathway of effects (through targeted beliefs). These analyses also provide a methodological template for showing campaign effects despite limitations of available data.

Indexed as

AdvertisingHealth Knowledge, Attitudes, PracticeHealth PromotionMental RecallSmoking PreventionTelevisionAdolescentFemaleHumansIntentionMaleSmokingUnited States

Identifiers

PMID28937865
PMCPMC5822679
OpenAlexW2756996783

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.