Evidence map›Paper›PMID 31371841›Full record

ArticleCommunication research2019

The Effects of Graphic Warning Labels' Vividness on Message Engagement and Intentions to Quit Smoking.

Ophir Yotam, Brennan Emily, Erin K Maloney, Joseph N Cappella

Abstract read
In one paragraph

Article in Communication research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Effects of Current and Enhanced Tobacco Corrective Messages on Smokers' Intention to Quit Smoking and Intention to Purchase Cigarettes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  5. Trial
  6. Article
  7. Smokers' Perceptions of Cigarette Packaging With Audio Warning Messages: A Focus Group Study in Scotland.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  8. Article
  9. 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.

Ophir YotamAnnenberg School for Communication, University of Pennsylvania, United States.
Brennan EmilyCentre for Behavioural Research in Cancer, Cancer Council Victoria, Melbourne, Australia.
Erin K MaloneyAnnenberg School for Communication, University of Pennsylvania, United States.
Joseph N CappellaAnnenberg School for Communication, University of Pennsylvania, United States.

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

The current study examined the effects of manipulating the level of vividness through the presence of various textual and visual components in the context of tobacco warning labels. An online experiment was conducted (N=2165) to examine whether increasing the vividness of warning labels, using narrative and non-narrative components, increased engagement with the messages, and the subsequent effects of vividness and engagement on intentions to quit smoking. Results showed that more vivid warning labels led to increased engagement, which in turn was linked to increased intentions to quit smoking. Specifically, the indirect effect of vividness on intentions to quit smoking was largely driven by the emotional component of engagement. Indirect effects of cognitive engagement were only apparent at higher levels of vividness.

Indexed as

EmotionEngagementGraphic warning labelsTobaccoVividness

Identifiers

PMID31371841
PMCPMC6675473

What OpenQuestion holds

Textmetadata
LicenceTDM
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.