Evidence map›Paper›PMID 30104408›Full record

ArticleTobacco control2019

Testing messages about comparative risk of electronic cigarettes and combusted cigarettes.

Bo Yang, Daniel Owusu, Lucy Popova

Abstract readComparative Study
In one paragraph

Article in Tobacco control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Examining Spontaneous Cognitive and Emotional Reactions to Messages About Very Low Nicotine Cigarettes (VLNCs).Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. 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
  8. Trial
  9. Trial
  10. Feeling Hopeful Motivates Change: Emotional Responses to Messages Communicating Comparative Risk of Electronic Cigarettes and Combusted Cigarettes.Health education & behavior : the official publication of the Society for Public Health Education · 2019
    Trial
  11. Targeted Versus Nontargeted Communication About Electronic Nicotine Delivery Systems in Three Smoker Groups.International journal of environmental research and public health · 2018
    Trial
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Multiple Tobacco Product Use Conceptual Framework: A 2021 Update on Evidence.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Review
  20. Risk perception ofSSM - population health · 2022
    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.

Bo YangTobacco Center of Regulatory Science, School of Public Health, Georgia State University, Atlanta, Georgia, USA.
Daniel OwusuTobacco Center of Regulatory Science, School of Public Health, Georgia State University, Atlanta, Georgia, USA.
Lucy PopovaTobacco Center of Regulatory Science, School of Public Health, Georgia State University, Atlanta, Georgia, USA.

Funding

The Science of Decision Making: Connecting People and PolicyP50DA036128 · NIDA · GEORGIA STATE UNIVERSITY · PI ERIKSEN, MICHAEL PAUL · 2013 to 2018
$19.4M
Communicating harm of new tobacco productsR00CA187460 · NCI · GEORGIA STATE UNIVERSITY · PI POPOVA, LYUDMILA · 2016 to 2018
$738k
NCI NIH HHS R00 CA187460NIDA NIH HHS P50 DA036128
6 · The paper itself

Abstract

introductionHealth agencies are grappling with communicating risks of electronic cigarettes (e-cigarettes) compared with combusted cigarettes. This study examined smokers' responses to two types of comparative risk messages with one type incorporating more negative antismoking elements in the design.

methodsIn an online experiment, 1400 US adult (18+ years) current smokers and recent quitters were randomised to view one of three comparative risk messages about e-cigarettes (CR messages), one of three comparative risk messages that included more negative antismoking elements in the design (CR- messages) or a control message. Selection of outcomes was guided by the antismoking message impact framework. Multivariate analyses of covariance and logistic regression models analysed effects of messages on message evaluations, e-cigarette-related and cigarette-related beliefs and behavioural intentions.

resultsBoth CR and CR- messages decreased smokers' intentions to smoke cigarettes, increased intentions to switch to e-cigarettes completely and increased perceptions that e-cigarettes are less harmful than combusted cigarettes. Neither message type increased dual use intentions relative to exclusive e-cigarettes use or smoking cessation. CR messages decreased perceived absolute risks of e-cigarettes and self-exempting beliefs about smoking, whereas CR- versus CR messages produced higher self-efficacy to quit smoking.

conclusionComparative risk communication might encourage smokers to switch to lower-harm tobacco products. Comparative risk messages with more negative antismoking elements in the design might be particularly effective, because they led to higher self-efficacy to quit smoking. Regulatory agencies may consider using comparative risk messages with more negative antismoking elements to educate the public about lower risk of e-cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsHealth Knowledge, Attitudes, PracticeAdolescentAdultAdvertisingFemaleHumansMaleMiddle AgedSmokersSmoking CessationTobacco ProductsYoung Adultadvertising and promotionelectronic nicotine delivery devicesharm reduction

Identifiers

PMID30104408
PMCPMC6374208

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.