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

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          Abstract

          Background

          The 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.

          Objective

          The 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.

          Methods

          Geolocated 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.

          Results

          The 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.

          Conclusions

          Our 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.

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          Most cited references25

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          A General Inductive Approach for Analyzing Qualitative Evaluation Data

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            Exploring the e-cigarette e-commerce marketplace: Identifying Internet e-cigarette marketing characteristics and regulatory gaps.

            The electronic cigarette (e-cigarette) market is maturing into a billion-dollar industry. Expansion includes new channels of access not sufficiently assessed, including Internet sales of e-cigarettes. This study identifies unique e-cigarette Internet vendor characteristics, including geographic location, promotional strategies, use of social networking, presence/absence of age verification, and consumer warning representation.
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              Enforcing an outdoor smoking ban on a college campus: effects of a multicomponent approach.

              Data on effective strategies to enforce policies banning outdoor smoking are sparse. This study tested the effects of an enforcement package implemented on a college campus. Thirty-nine observers recorded compliance of 709 outside smokers. Smoking within 25 feet of buildings was noncompliant. The intervention included moving receptacles, marking the ground, improving signage, and distributing reinforcements and reminder cards. The proportion of smokers complying with the ban was 33% during the baseline observation period, increased to 74% during the intervention week, and was at 54% during the follow-up. Differences across conditions was statistically significant (chi2(2, N = 709) = 6.299, p <.001). Compliance proportions varied by location in all conditions. Enforcing an outdoor smoking ban using a multiple component package increased compliance with the nonsmoking policy on a college campus.
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                Author and article information

                Contributors
                Journal
                JMIR Form Res
                JMIR Form Res
                JFR
                JMIR Formative Research
                JMIR Publications (Toronto, Canada )
                2561-326X
                December 2021
                24 December 2021
                : 5
                : 12
                : e33331
                Affiliations
                [1 ] Department of Public Health California State University Fullerton Fullerton, CA United States
                [2 ] Global Health Policy and Data Institute San Diego, CA United States
                [3 ] Department of Anesthesiology University of California San Diego San Diego, CA United States
                [4 ] S-3 Research San Diego, CA United States
                [5 ] Global Health Program Department of Anthropology University of California, San Diego La Jolla, CA United States
                [6 ] Center for Humans and Machines Max Planck Institute for Human Development Berlin Germany
                Author notes
                Corresponding Author: Tim Mackey tkmackey@ 123456ucsd.edu
                Author information
                https://orcid.org/0000-0002-9224-6053
                https://orcid.org/0000-0002-8179-0619
                https://orcid.org/0000-0002-6270-448X
                https://orcid.org/0000-0002-0565-8202
                https://orcid.org/0000-0001-8670-6124
                https://orcid.org/0000-0002-2165-7867
                https://orcid.org/0000-0003-1127-2231
                https://orcid.org/0000-0002-2191-7833
                Article
                v5i12e33331
                10.2196/33331
                8742203
                34951597
                562dc2fa-8aaf-4a3c-bc82-2ddfe9672a09
                ©Joshua S Yang, Raphael E Cuomo, Vidya Purushothaman, Matthew Nali, Neal Shah, Cortni Bardier, Nick Obradovich, Tim Mackey. Originally published in JMIR Formative Research (https://formative.jmir.org), 24.12.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

                History
                : 7 September 2021
                : 14 October 2021
                : 7 December 2021
                : 8 December 2021
                Categories
                Short Paper
                Short Paper

                tobacco-free policies,social media,colleges and universities,smoking,smoking policy,campus policy,tobacco use,twitter analysis,smoke-free,tobacco-free,twitter,college students,students,campus,health policy

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