Evidence map›Paper›PMID 28622021›Full record

ArticleHealth communication2018

Source Credibility and E-Cigarette Attitudes: Implications for Tobacco Communication.

Kathleen R Case, Allison J Lazard, Michael S Mackert, Cheryl L Perry

Abstract read
In one paragraph

Article in Health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Tailoring e-Cigarette Health Messages by Vaping Status: How Source and Message Presentation Type Shape Young Adults' Perceptions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Trial
  2. Trial
  3. Message Source Credibility and E-Cigarette Harm Perceptions among Young Adults.International journal of environmental research and public health · 2022
    Trial
  4. Tackling Smoker Misperceptions About E-cigarettes Using Expert Videos.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Trial
  5. Effects of Message Frames and Sources in TikTok Videos for Youth Vaping Cessation: Emotions and Perceived Message Effectiveness as Mediating Mechanisms.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Tobacco Harm Reduction as a Path to Restore Trust in Tobacco Control.International journal of environmental research and public health · 2021
    Article
  14. Development and Pretesting of Hookah Tobacco Public Education Messages for Young Adults.International journal of environmental research and public health · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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.

Kathleen R Casea School of Public Health in Austin , The University of Texas Health Science Center at Houston (UTHealth).
Allison J Lazardb School of Media and Journalism , University of North Carolina at Chapel Hill.ORCID 0000-0002-2502-2850
Michael S Mackerta School of Public Health in Austin , The University of Texas Health Science Center at Houston (UTHealth).
Cheryl L Perrya School of Public Health in Austin , The University of Texas Health Science Center at Houston (UTHealth).

Funding

Training & Education Core p335-350P50CA180906 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PERRY, CHERYL LEE · 2013 to 2017
$19.7M
NCI NIH HHS P50 CA180906
6 · The paper itself

Abstract

As there are many conflicting sources of e-cigarette information, research is needed to determine the impact of these sources on e-cigarette attitudes to inform future communication campaigns. Source credibility is important in shaping attitudes toward other health topics; however, no study has examined its role in influencing e-cigarette attitudes. Data from the 2015 Health Information National Trends Survey-FDA (HINTS-FDA) were utilized to assess differences in trust in different sources by e-cigarette user status and to investigate the associations between trust in sources and e-cigarette attitudes (n = 3,738). Differences in trust in sources were examined using weighted linear regression. Associations between trust in sources of e-cigarette health effects and attitudes toward e-cigarettes were assessed using weighted logistic regression. Overall, e-cigarette ever users reported significantly lower trust in governmental agencies as compared to never users. Trust in e-cigarette companies was negatively associated with perceived addictiveness of e-cigarettes (AOR = 0.76, 95% CI = 0.58, 1.00), while trust in doctors/pharmacists/healthcare providers was negatively associated with harm perceptions of e-cigarettes relative to conventional cigarettes (AOR = 0.72, 95% CI = 0.55, 0.95). Trust in tobacco companies and trust in e-cigarette companies were negatively associated with absolute perceived harm of e-cigarettes (AOR = 0.70, 95% CI = 0.51, 0.95; AOR = 0.60, 95% CI = 0.46, 0.79, respectively). Results from this study indicate that the associations between trust in sources of e-cigarette health effects and e-cigarette attitudes differ both by source and specific attitude assessed. Ultimately, future campaigns should incorporate messaging to discredit industry sources of information and utilize non-governmental sources to effectively influence e-cigarette attitudes.

Indexed as

CommunicationElectronic Nicotine Delivery SystemsHealth Knowledge, Attitudes, PracticePerceptionAdultAgedFemaleHealth SurveysHumansMaleMiddle AgedSmokersSmokingTobacco IndustryTrustYoung Adult

Identifiers

PMID28622021
PMCPMC5732895

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.