Evidence map›Paper›PMID 30455162›Full record

ArticleJournal of medical Internet research2018

Hookah-Related Posts to Twitter From 2017 to 2018: Thematic Analysis.

Jon-Patrick Allem, Likhit Dharmapuri, Adam M Leventhal, Jennifer B Unger, Tess Boley Cruz

Abstract readHistorical Article
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Spanish-Language Tobacco-Related Posts on Twitter: Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  6. Article
  7. Article
  8. Twitter Surveillance at the Intersection of the Triangulum.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Observational
  14. Infodemiology and Infoveillance: Scoping Review.Journal of medical Internet research · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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.

Jon-Patrick AllemKeck School of Medicine of University of Southern California, Los Angeles, CA, United States.ORCID 0000-0001-9135-8689
Likhit DharmapuriDepartment of Computer Science, University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-4879-2161
Adam M LeventhalKeck School of Medicine of University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-1217-525X
Jennifer B UngerKeck School of Medicine of University of Southern California, Los Angeles, CA, United States.ORCID 0000-0001-9064-6603
Tess Boley CruzKeck School of Medicine of University of Southern California, Los Angeles, CA, United States.ORCID 0000-0002-5894-1802

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

backgroundHookah (or tobacco waterpipe) use has recently become prevalent in the United States. The contexts and experiences associated with hookah use are unclear, yet such information is abundant via publicly available hookah users' social media postings.

objectiveIn this study, we utilized Twitter data to characterize Twitter users' recent experiences with hookah.

methodsTwitter posts containing the term "hookah" were obtained from April 1, 2017 to 29 March, 2018. Text classifiers were used to identify clusters of topics that tended to co-occur in posts (n=176,706).

resultsThe most prevalent topic cluster was Person Tagging (use of @username to tag another Twitter account in a post) at 21.58% (38,137/176,706) followed by Promotional or Social Events (eg, mentions of ladies' nights, parties, etc) at 20.20% (35,701/176,706) and Appeal or Abuse Liability (eg, craving, enjoying hookah) at 18.12% (32,013/176,706). Additional topics included Hookah Use Behavior (eg, mentions of taking a "hit" of hookah) at 11.67% (20,603/176,706), Polysubstance Use (eg, hookah use along with other substances) at 10.95% (19,353/176,706), Buying or Selling (eg, buy, order, purchase, sell) at 9.37% (16,552/176,706), and Flavors (eg, mint, cinnamon, watermelon) at 1.66% (2927/176,706). The topic Dislike of Hookah (eg, hate, quit, dislike) was rare at 0.59% (1043/176,706).

conclusionsSocial events, appeal or abuse liability, flavors, and polysubstance use were the common contexts and experiences associated with Twitter discussions about hookah in 2017-2018. Considered in concert with traditional data sources about hookah, these results suggest that social events, appeal or abuse liability, flavors, and polysubstance use warrant consideration as targets in future surveillance, policy making, and interventions addressing hookah.

Indexed as

History, 21st CenturyHumansSmoking Water PipesSocial Mediaflavorshookahinfodemiologynicotinesocial mediasocial smokingTwitterwaterpipe

Identifiers

PMID30455162
PMCPMC6277830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.