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Relationship between social media engagement and e-cigarette policy support

INTRODUCTION: Given increasing efforts to regulate e-cigarettes, it is important to understand factors associated with support for tobacco regulatory policies. We investigate such factors found in social media and hypothesize that greater online engagement with tobacco content would be associated wi...

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Autores principales: Majmundar, Anuja, Chou, Chih-Ping, Cruz, Tess B., Unger, Jennifer B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542731/
https://www.ncbi.nlm.nih.gov/pubmed/31193757
http://dx.doi.org/10.1016/j.abrep.2018.100155
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author Majmundar, Anuja
Chou, Chih-Ping
Cruz, Tess B.
Unger, Jennifer B.
author_facet Majmundar, Anuja
Chou, Chih-Ping
Cruz, Tess B.
Unger, Jennifer B.
author_sort Majmundar, Anuja
collection PubMed
description INTRODUCTION: Given increasing efforts to regulate e-cigarettes, it is important to understand factors associated with support for tobacco regulatory policies. We investigate such factors found in social media and hypothesize that greater online engagement with tobacco content would be associated with less support for e-cigarette regulatory policies. METHODS: We constructed social networks of Twitter users who tweet about tobacco and categorized them using a combination of social network and Twitter metrics. Twitter users were identified as representing leaders, followers or general users in online discussions of tobacco products, and invited to complete an online survey. Participants responded to questions about their engagement with tobacco-related content online, degree of support for e-cigarette regulations, exposure to tobacco marketing, e-cigarette use and other demographic information. We examined links between their reported engagement with tobacco-related content and support for e-cigarette regulatory policies using structural equation modelling. RESULTS: The analytic sample consisted of 470 participants. The conceptualized structural equation model had a good fit (χ(2) (32) = 24.85, p = 0.09, CFI = 0.99, RMSEA = 0.03). Findings support our hypothesis: engagement with online tobacco content was negatively associated with support for e-cigarette policies, while controlling for e-cigarette use, tobacco marketing exposure, social media use frequency and demographic factors. CONCLUSIONS: Findings suggest that our hypothesis was supported. Twitter users engaging with tobacco-related content and harboring negative attitudes toward e-cigarette regulatory policies could be an important audience segment to reach with tailored e-cigarette policy education messages.
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spelling pubmed-65427312019-06-03 Relationship between social media engagement and e-cigarette policy support Majmundar, Anuja Chou, Chih-Ping Cruz, Tess B. Unger, Jennifer B. Addict Behav Rep Research paper INTRODUCTION: Given increasing efforts to regulate e-cigarettes, it is important to understand factors associated with support for tobacco regulatory policies. We investigate such factors found in social media and hypothesize that greater online engagement with tobacco content would be associated with less support for e-cigarette regulatory policies. METHODS: We constructed social networks of Twitter users who tweet about tobacco and categorized them using a combination of social network and Twitter metrics. Twitter users were identified as representing leaders, followers or general users in online discussions of tobacco products, and invited to complete an online survey. Participants responded to questions about their engagement with tobacco-related content online, degree of support for e-cigarette regulations, exposure to tobacco marketing, e-cigarette use and other demographic information. We examined links between their reported engagement with tobacco-related content and support for e-cigarette regulatory policies using structural equation modelling. RESULTS: The analytic sample consisted of 470 participants. The conceptualized structural equation model had a good fit (χ(2) (32) = 24.85, p = 0.09, CFI = 0.99, RMSEA = 0.03). Findings support our hypothesis: engagement with online tobacco content was negatively associated with support for e-cigarette policies, while controlling for e-cigarette use, tobacco marketing exposure, social media use frequency and demographic factors. CONCLUSIONS: Findings suggest that our hypothesis was supported. Twitter users engaging with tobacco-related content and harboring negative attitudes toward e-cigarette regulatory policies could be an important audience segment to reach with tailored e-cigarette policy education messages. Elsevier 2018-12-14 /pmc/articles/PMC6542731/ /pubmed/31193757 http://dx.doi.org/10.1016/j.abrep.2018.100155 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Majmundar, Anuja
Chou, Chih-Ping
Cruz, Tess B.
Unger, Jennifer B.
Relationship between social media engagement and e-cigarette policy support
title Relationship between social media engagement and e-cigarette policy support
title_full Relationship between social media engagement and e-cigarette policy support
title_fullStr Relationship between social media engagement and e-cigarette policy support
title_full_unstemmed Relationship between social media engagement and e-cigarette policy support
title_short Relationship between social media engagement and e-cigarette policy support
title_sort relationship between social media engagement and e-cigarette policy support
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542731/
https://www.ncbi.nlm.nih.gov/pubmed/31193757
http://dx.doi.org/10.1016/j.abrep.2018.100155
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