Cargando…

Where Do People Vape? Insights from Twitter Data

Background: Emerging evidence suggests that exposure to secondhand and thirdhand aerosol from electronic cigarettes may have serious health risks including respiratory and cardiovascular diseases. Social media data can help identify common locations referenced in vaping-related discussions and offer...

Descripción completa

Detalles Bibliográficos
Autores principales: Majmundar, Anuja, Allem, Jon-Patrick, Cruz, Tess Boley, Unger, Jennifer B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747114/
https://www.ncbi.nlm.nih.gov/pubmed/31443591
http://dx.doi.org/10.3390/ijerph16173056
_version_ 1783451826452955136
author Majmundar, Anuja
Allem, Jon-Patrick
Cruz, Tess Boley
Unger, Jennifer B.
author_facet Majmundar, Anuja
Allem, Jon-Patrick
Cruz, Tess Boley
Unger, Jennifer B.
author_sort Majmundar, Anuja
collection PubMed
description Background: Emerging evidence suggests that exposure to secondhand and thirdhand aerosol from electronic cigarettes may have serious health risks including respiratory and cardiovascular diseases. Social media data can help identify common locations referenced in vaping-related discussions and offer clues about where individuals vape. These insights can strengthen current tobacco regulations and prioritize new policies to improve public health. This study identified commonly referenced locations in vaping-related discussions on Twitter in 2018. Methods: Vaping-related posts to Twitter were obtained from 1 January 2018 to 31 December 2018. Rule-based classifiers categorized each Twitter post into 11 location-related categories (social venues, living spaces, stores, modes of transportation, schools, workplaces, healthcare offices, eateries, correctional facilities, religious institutions, and miscellaneous) using a data dictionary of location-related keywords (n = 290,816). Results: The most prevalent category was social venues (17.9%), followed by living spaces (16.7%), stores (15.9%), modes of transportation (15.5%), schools (14.9%), and workplaces (11.9%). Other categories pertained to: healthcare offices (2.0%), eateries (1.2%), correctional facilities (0.7%), and religious institutions (0.4%). Conclusion: This study suggests that locations related to socialization venues may be priority areas for future surveillance and enforcement of smoke-free air policies. Similarly, development and enforcement of similar policies at workplaces, schools and multi-unit housing may curb exposure to secondhand and thirdhand aerosol among the public.
format Online
Article
Text
id pubmed-6747114
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-67471142019-09-27 Where Do People Vape? Insights from Twitter Data Majmundar, Anuja Allem, Jon-Patrick Cruz, Tess Boley Unger, Jennifer B. Int J Environ Res Public Health Brief Report Background: Emerging evidence suggests that exposure to secondhand and thirdhand aerosol from electronic cigarettes may have serious health risks including respiratory and cardiovascular diseases. Social media data can help identify common locations referenced in vaping-related discussions and offer clues about where individuals vape. These insights can strengthen current tobacco regulations and prioritize new policies to improve public health. This study identified commonly referenced locations in vaping-related discussions on Twitter in 2018. Methods: Vaping-related posts to Twitter were obtained from 1 January 2018 to 31 December 2018. Rule-based classifiers categorized each Twitter post into 11 location-related categories (social venues, living spaces, stores, modes of transportation, schools, workplaces, healthcare offices, eateries, correctional facilities, religious institutions, and miscellaneous) using a data dictionary of location-related keywords (n = 290,816). Results: The most prevalent category was social venues (17.9%), followed by living spaces (16.7%), stores (15.9%), modes of transportation (15.5%), schools (14.9%), and workplaces (11.9%). Other categories pertained to: healthcare offices (2.0%), eateries (1.2%), correctional facilities (0.7%), and religious institutions (0.4%). Conclusion: This study suggests that locations related to socialization venues may be priority areas for future surveillance and enforcement of smoke-free air policies. Similarly, development and enforcement of similar policies at workplaces, schools and multi-unit housing may curb exposure to secondhand and thirdhand aerosol among the public. MDPI 2019-08-23 2019-09 /pmc/articles/PMC6747114/ /pubmed/31443591 http://dx.doi.org/10.3390/ijerph16173056 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Majmundar, Anuja
Allem, Jon-Patrick
Cruz, Tess Boley
Unger, Jennifer B.
Where Do People Vape? Insights from Twitter Data
title Where Do People Vape? Insights from Twitter Data
title_full Where Do People Vape? Insights from Twitter Data
title_fullStr Where Do People Vape? Insights from Twitter Data
title_full_unstemmed Where Do People Vape? Insights from Twitter Data
title_short Where Do People Vape? Insights from Twitter Data
title_sort where do people vape? insights from twitter data
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747114/
https://www.ncbi.nlm.nih.gov/pubmed/31443591
http://dx.doi.org/10.3390/ijerph16173056
work_keys_str_mv AT majmundaranuja wheredopeoplevapeinsightsfromtwitterdata
AT allemjonpatrick wheredopeoplevapeinsightsfromtwitterdata
AT cruztessboley wheredopeoplevapeinsightsfromtwitterdata
AT ungerjenniferb wheredopeoplevapeinsightsfromtwitterdata