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Analysis of symptoms and their potential associations with e-liquids’ components: a social media study

BACKGROUND: The electronic cigarette (e-cigarette) market has grown rapidly in recent years. However, causes of e-cigarette related symptoms among users and their impact on health remain uncertain. This research aims to mine the potential relationships between symptoms and e-liquid components, such...

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Autores principales: Li, Qiudan, Zhan, Yongcheng, Wang, Lei, Leischow, Scott J., Zeng, Daniel Dajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4967297/
https://www.ncbi.nlm.nih.gov/pubmed/27475060
http://dx.doi.org/10.1186/s12889-016-3326-0
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author Li, Qiudan
Zhan, Yongcheng
Wang, Lei
Leischow, Scott J.
Zeng, Daniel Dajun
author_facet Li, Qiudan
Zhan, Yongcheng
Wang, Lei
Leischow, Scott J.
Zeng, Daniel Dajun
author_sort Li, Qiudan
collection PubMed
description BACKGROUND: The electronic cigarette (e-cigarette) market has grown rapidly in recent years. However, causes of e-cigarette related symptoms among users and their impact on health remain uncertain. This research aims to mine the potential relationships between symptoms and e-liquid components, such as propylene glycol (PG), vegetable glycerine (VG), flavor extracts, and nicotine, using user-generated data collected from Reddit. METHODS: A total of 3605 e-liquid related posts from January 1st, 2011 to June 30th, 2015 were collected from Reddit. Then the patterns of VG/PG distribution among different flavors were analyzed. Next, the relationship between throat hit, which was a typical symptom of e-cigarette use, and e-liquid components was studied. Finally, other symptoms were examined based on e-liquid components and user sentiment. RESULTS: We discovered 3 main sets of findings: 1) We identified three groups of flavors in terms of VG/PG ratios. Fruits, cream, and nuts flavors were similar. Sweet, menthol, and seasonings flavors were classified into one group. Tobacco and beverages flavors were the third group. 2) Throat hit was analyzed and we found that menthol and tobacco flavors, as well as high ratios of PG and nicotine level, could produce more throat hit. 3) A total of 9 systems of 25 symptoms were identified and analyzed. Components including VG/PG ratio, flavor, and nicotine could be possible reasons for these symptoms. CONCLUSIONS: E-liquid components shown to be associated with e-cigarette use symptomology were VG/PG ratios, flavors, and nicotine levels. Future analysis could be conducted based on the structure of e-liquid components categories built in this study. Information revealed in this study could be utilized by e-cigarette users to understand the relationship between e-liquid type and symptoms experienced, by vendors to choose appropriate recipes of e-liquid, and by policy makers to develop new regulations.
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spelling pubmed-49672972016-07-31 Analysis of symptoms and their potential associations with e-liquids’ components: a social media study Li, Qiudan Zhan, Yongcheng Wang, Lei Leischow, Scott J. Zeng, Daniel Dajun BMC Public Health Research Article BACKGROUND: The electronic cigarette (e-cigarette) market has grown rapidly in recent years. However, causes of e-cigarette related symptoms among users and their impact on health remain uncertain. This research aims to mine the potential relationships between symptoms and e-liquid components, such as propylene glycol (PG), vegetable glycerine (VG), flavor extracts, and nicotine, using user-generated data collected from Reddit. METHODS: A total of 3605 e-liquid related posts from January 1st, 2011 to June 30th, 2015 were collected from Reddit. Then the patterns of VG/PG distribution among different flavors were analyzed. Next, the relationship between throat hit, which was a typical symptom of e-cigarette use, and e-liquid components was studied. Finally, other symptoms were examined based on e-liquid components and user sentiment. RESULTS: We discovered 3 main sets of findings: 1) We identified three groups of flavors in terms of VG/PG ratios. Fruits, cream, and nuts flavors were similar. Sweet, menthol, and seasonings flavors were classified into one group. Tobacco and beverages flavors were the third group. 2) Throat hit was analyzed and we found that menthol and tobacco flavors, as well as high ratios of PG and nicotine level, could produce more throat hit. 3) A total of 9 systems of 25 symptoms were identified and analyzed. Components including VG/PG ratio, flavor, and nicotine could be possible reasons for these symptoms. CONCLUSIONS: E-liquid components shown to be associated with e-cigarette use symptomology were VG/PG ratios, flavors, and nicotine levels. Future analysis could be conducted based on the structure of e-liquid components categories built in this study. Information revealed in this study could be utilized by e-cigarette users to understand the relationship between e-liquid type and symptoms experienced, by vendors to choose appropriate recipes of e-liquid, and by policy makers to develop new regulations. BioMed Central 2016-07-30 /pmc/articles/PMC4967297/ /pubmed/27475060 http://dx.doi.org/10.1186/s12889-016-3326-0 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Li, Qiudan
Zhan, Yongcheng
Wang, Lei
Leischow, Scott J.
Zeng, Daniel Dajun
Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
title Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
title_full Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
title_fullStr Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
title_full_unstemmed Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
title_short Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
title_sort analysis of symptoms and their potential associations with e-liquids’ components: a social media study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4967297/
https://www.ncbi.nlm.nih.gov/pubmed/27475060
http://dx.doi.org/10.1186/s12889-016-3326-0
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