Evidence map›Paper›PMID 24395989›Full record

ArticleJournal of the National Cancer Institute. Monographs2013

Content characteristics driving the diffusion of antismoking messages: implications for cancer prevention in the emerging public communication environment.

Hyun Suk Kim, Sungkyoung Lee, Joseph N Cappella, Lisa Vera, Sherry Emery

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Cancer prevention and control in the changing communication landscape.Journal of the National Cancer Institute. Monographs · 2013
    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

5 authors.

Hyun Suk KimBA, Moores Cancer Center, University of California San Diego, 9500 Gilman Dr MC 0901, La Jolla, CA 92093. lejames@ucsd.edu.
Sungkyoung Lee
Joseph N Cappella
Lisa Vera
Sherry Emery

Funding

Tobacco Control in a Rapidly Changing Media EnvironmentU01CA154254 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI EMERY, SHERRY L · 2011 to 2015
$7.7M
Constructing Recommender Systems for Effective Health Messages: Smoking CessationR01CA160226 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CAPPELLA, JOSEPH NICHOLAS · 2011 to 2014
$980k
NCI NIH HHS 5U01CA154254NCI NIH HHS R01CA160226NCI NIH HHS U01 CA154254
6 · The paper itself

Abstract

This study examined how content characteristics of antitobacco messages affect smokers' selective exposure to and social sharing of those messages. Results from an experiment revealed that content features predicting smokers' selection of antismoking messages are different from those predicting whether those messages are shared. Antismoking messages smokers tend to select are characterized by strong arguments (odds ratio = 2.02, P = .02) and positive sentiments (odds ratio = 3.08, P = .03). Once selected, the messages more likely to be retransmitted by smokers were those with novel arguments (B = .83, P = .002) and positive sentiments (B = 1.65, P = .005). This research adds to the literature about the content characteristics driving the social diffusion of antitobacco messages and contributes to our understanding of the role of persuasive messages about smoking cessation in the emerging public communication environment.

Indexed as

Social MediaHealth BehaviorHealth CommunicationHealth PromotionHumansMass MediaNeoplasmsSmokingSmoking CessationSmoking Prevention

Identifiers

PMID24395989
PMCPMC3937601

What OpenQuestion holds

Textmetadata
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.