CASIA OpenIR
Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
Li,Qiudan1; Zhan,Yongcheng2; Wang,Lei1; Leischow,Scott J.3; Zeng,Daniel Dajun1,2
Source PublicationBMC Public Health
ISSN1471-2458
2016-07-30
Volume16Issue:1
Corresponding AuthorZeng,Daniel Dajun(zeng@email.arizona.edu)
AbstractAbstractBackgroundThe 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.MethodsA 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.ResultsWe 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.ConclusionsE-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.
Keyworde-cigarette e-juice e-liquid Flavors VG PG Nicotine Symptoms Reddit Social media
DOI10.1186/s12889-016-3326-0
Language英语
WOS IDBMC:10.1186/s12889-016-3326-0
PublisherBioMed Central
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24442
Collection中国科学院自动化研究所
Corresponding AuthorZeng,Daniel Dajun
Affiliation1.Institute of Automation, Chinese Academy of Sciences; The State Key Laboratory of Management and Control for Complex Systems
2.University of Arizona; Department of Management Information Systems
3.Mayo Clinic
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li,Qiudan,Zhan,Yongcheng,Wang,Lei,等. Analysis of symptoms and their potential associations with e-liquids’ components: a social media study[J]. BMC Public Health,2016,16(1).
APA Li,Qiudan,Zhan,Yongcheng,Wang,Lei,Leischow,Scott J.,&Zeng,Daniel Dajun.(2016).Analysis of symptoms and their potential associations with e-liquids’ components: a social media study.BMC Public Health,16(1).
MLA Li,Qiudan,et al."Analysis of symptoms and their potential associations with e-liquids’ components: a social media study".BMC Public Health 16.1(2016).
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