Evidence map›Paper›PMID 27956757›Full record

ArticleComputers in human behavior2016

How social media influence college students' smoking attitudes and intentions.

Woohyun Yoo, JungHwan Yang, Eunji Cho

Open access · greenAbstract read
In one paragraph

Article in Computers in human behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
76.6field-weighted citation impact, top 1% 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.

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, 89 citations in OpenAlex.

  1. Determinants of Smoking Among University Students in Northern Iraq.Journal of research in health sciences · 2025
    Article
  2. AI for Tobacco Control: Identifying Tobacco-Promoting Social Media Content Using Large Language Models.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Factors Associated with Tobacco Smoking Initiation in Jordan: A Cross-Sectional Study.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  7. Media depictions of primary care teleconsultation safety: a thematic analysis of UK newspapers.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Exploring How Social Media Exposure and Interactions Are Associated With ENDS and Tobacco Use in Adolescents From the PATH Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  20. Identifying current Juul users among emerging adults through Twitter feeds.International journal of medical informatics · 2021
    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 2 institutions in 2 countries.

Woohyun YooSurvey & Health Policy Research Center, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, South Korea.
JungHwan YangSchool of Journalism and Mass Communication, University of Wisconsin-Madison, 5115 Vilas Communication Hall, 821 University Avenue, Madison, WI 53706, USA.
Eunji ChoSchool of Journalism and Mass Communication, University of Wisconsin-Madison, 5115 Vilas Communication Hall, 821 University Avenue, Madison, WI 53706, USA.
University of Wisconsin–Madison · USDongguk University · KR

Funding

Methods CoreP50CA143188 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BOLT, DANIEL M · 2009 to 2013
$10.5M
NCI NIH HHS P50 CA143188
6 · The paper itself

Abstract

Building on the influence of presumed influence (IPI) model, this study examines how smoking- related messages on social media influence college students' smoking. We surveyed 366 college students from three U.S. Midwestern universities in 2012 and examined the effects of expression and reception of smoking-related messages on smoking using path analysis. We found that the expression and reception of prosmoking messages not only directly affected smoking but also had indirect effects on smoking through (1) perceived peer expression of prosmoking messages and (2) perceived peer smoking norms. For antismoking messages, only reception had a significant indirect influence on smoking through (1) perceived peer reception of antismoking messages and (2) perceived peer smoking norms. In conclusion, social media function as an effective communication channel for generating, sharing, receiving, and commenting on smoking-related content and are thus influential on college students' smoking.

Indexed as

College studentsInfluence of presumed influenceSmoking attitudeSmoking intentionSocial media

Identifiers

PMID27956757
PMCPMC5148160
OpenAlexW2462137330

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.