Evidence map›Paper›PMID 29898418›Full record

ArticlePreventive medicine2018

Talking about tobacco on Twitter is associated with tobacco product use.

Jennifer B Unger, Robert Urman, Tess Boley Cruz, Anuja Majmundar, Jessica Barrington-Trimis, Mary Ann Pentz, Rob McConnell

Abstract read
In one paragraph

Article in Preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Oral Nicotine Gum Discussions on Twitter: Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Impact of Social Media Use and Gaming on Initiation of Smokeless Tobacco Use Among Rural Male Youth.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
    Article
  11. Article
  12. Ice Flavor-Related Discussions on Twitter: Content Analysis.Journal of medical Internet research · 2022
    Article
  13. The Use of Social Media in Children and Adolescents: Scoping Review on the Potential Risks.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Categorizing IQOS-Related Twitter Discussions.International journal of environmental research and public health · 2021
    Article
  17. 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
  18. Identifying current Juul users among emerging adults through Twitter feeds.International journal of medical informatics · 2021
    Article
  19. Article
  20. Valence of Media Coverage About Electronic Cigarettes and Other Tobacco Products From 2014 to 2017: Evidence From Automated Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    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

7 authors at 1 institution in 1 country.

Jennifer B UngerTobacco Center of Regulatory Science, University of Southern California Keck School of Medicine, United States of America. Electronic address: unger@usc.edu.
Robert UrmanTobacco Center of Regulatory Science, University of Southern California Keck School of Medicine, United States of America.
Tess Boley CruzTobacco Center of Regulatory Science, University of Southern California Keck School of Medicine, United States of America.
Anuja MajmundarTobacco Center of Regulatory Science, University of Southern California Keck School of Medicine, United States of America.
Jessica Barrington-TrimisTobacco Center of Regulatory Science, University of Southern California Keck School of Medicine, United States of America.
Mary Ann PentzTobacco Center of Regulatory Science, University of Southern California Keck School of Medicine, United States of America.
Rob McConnellTobacco Center of Regulatory Science, University of Southern California Keck School of Medicine, United States of America.
University of Southern California · US

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jennifer Beth Unger · 2018 to 2026
$39.0M
USC Tobacco Center of Regulatory Science (TCORS) for Vulnerable PopulationsP50CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN, SAMET, JONATHAN M · 2013 to 2017
$20.1M
NCI NIH HHS P50 CA180905NCI NIH HHS U54 CA180905
6 · The paper itself

Abstract

Tobacco-related content appears on social media in the form of advertising and messages by individuals. However, little is known about associations between posting social media messages and tobacco product use among adolescents and young adults. Self-reports of tobacco product use were obtained from the Children's Health Study of young adults in Southern California. Among the 1486 respondents in the most recent wave of the cohort (2016-2017), 284 provided tobacco product use data and their Twitter user names to access publicly available Twitter account data (mean age = 20.1 yrs. (SD = 0.6), 54% female, 49% Hispanic). We obtained the tweets that those respondents posted on Twitter, searched the tweets for 14 nicotine- and tobacco-related keywords, and coded these statements as positive or negative/neutral. Logistic regression analyses were conducted to determine whether respondents who posted positive tobacco-related tweets were more likely to report tobacco product use, relative to those who did not post any positive tobacco-related tweets. Respondents who posted any positive messages about tobacco had significantly higher odds of reporting past month use of cigarettes (OR = 3.15, 95% CI = 1.36, 7.30) and any tobacco product (OR = 2.41, 95% CI = 1.16, 5.01), relative to respondents who did not post about tobacco. This is the first study to establish an empirical link between adolescents' and young adults' tobacco-related Twitter activity and their tobacco product use. Health communications about the risks of tobacco use could target adolescents who post positive messages about tobacco products on Twitter.

Indexed as

Social MediaTobacco ProductsTobacco UseAdultCaliforniaFemaleHealth SurveysHumansMaleSmokingYoung AdultAdolescentsCigarettesElectronic cigarettesSocial mediaTobaccoTwitterYoung adults

Identifiers

PMID29898418
PMCPMC6644040
OpenAlexW2807165107

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.