Evidence map›Paper›PMID 34951597›Full record

ArticleJMIR formative research2021

Campus Smoking Policies and Smoking-Related Twitter Posts Originating From California Public Universities: Retrospective Study.

Joshua S Yang, Raphael E Cuomo, Vidya Purushothaman, Matthew Nali, Neal Shah, Cortni Bardier, Nick Obradovich, Tim Mackey

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 2 countries.

Joshua S YangDepartment of Public Health, California State University Fullerton, Fullerton, CA, United States.ORCID https://orcid.org/0000-0002-9224-6053
Raphael E CuomoGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-8179-0619
Vidya PurushothamanGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-6270-448X
Matthew NaliGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-0565-8202
Neal ShahGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID https://orcid.org/0000-0001-8670-6124
Cortni BardierGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-2165-7867
Nick ObradovichCenter for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany.ORCID https://orcid.org/0000-0003-1127-2231
Tim MackeyGlobal Health Policy and Data Institute, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-2191-7833
University of California San Diego · USCalifornia State University, Fullerton · USGlobal Policy Institute · USMax Planck Institute for Human Development · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of colleges and universities with smoke- or tobacco-free campus policies has been increasing. The effects of campus smoking policies on overall sentiment, particularly among young adult populations, are more difficult to assess owing to the changing tobacco and e-cigarette product landscape and differential attitudes toward policy implementation and enforcement.

objectiveThe goal of the study was to retrospectively assess the campus climate toward tobacco use by comparing tweets from California universities with and those without smoke- or tobacco-free campus policies.

methodsGeolocated Twitter posts from 2015 were collected using the Twitter public application programming interface in combination with cloud computing services on Amazon Web Services. Posts were filtered for tobacco products and behavior-related keywords. A total of 42,877,339 posts were collected from 2015, with 2837 originating from a University of California or California State University system campus, and 758 of these manually verified as being about smoking. Chi-square tests were conducted to determine if there were significant differences in tweet user sentiments between campuses that were smoke- or tobacco-free (all University of California campuses and California State University, Fullerton) compared to those that were not. A separate content analysis of tweets included in chi-square tests was conducted to identify major themes by campus smoking policy status.

resultsThe percentage of positive sentiment tweets toward tobacco use was higher on campuses without a smoke- or tobacco-free campus policy than on campuses with a smoke- or tobacco-free campus policy (76.7% vs 66.4%, P=.03). Higher positive sentiment on campuses without a smoke- or tobacco-free campus policy may have been driven by general comments about one's own smoking behavior and comments about smoking as a general behavior. Positive sentiment tweets originating from campuses without a smoke- or tobacco-free policy had greater variation in tweet type, which may have also contributed to differences in sentiment among universities.

conclusionsOur study introduces preliminary data suggesting that campus smoke- and tobacco-free policies are associated with a reduction in positive sentiment toward smoking. However, continued expressions and intentions to smoke and reports of one's own smoking among Twitter users suggest a need for more research to better understand the dynamics between implementation of smoke- and tobacco-free policies and resulting tobacco behavioral sentiment.

Indexed as

campuscampus policycolleges and universitiescollege studentshealth policysmoke-freesmokingsmoking policysocial mediastudentstobacco-freetobacco-free policiestobacco useTwitterTwitter analysis

Identifiers

PMID34951597
PMCPMC8742203
OpenAlexW4200407499

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.