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

doi:10.1186/s12889-016-3326-0

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
	Li,Qiudan1 ; Zhan,Yongcheng 2; Wang,Lei1 ; Leischow,Scott J.3; Zeng,Daniel Dajun 1,2
发表期刊	BMC Public Health
ISSN	1471-2458
	2016-07-30
卷号	16 期号:1
通讯作者	Zeng,Daniel Dajun(zeng@email.arizona.edu)
摘要	AbstractBackgroundThe 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.
关键词	e-cigarette e-juice e-liquid Flavors VG PG Nicotine Symptoms Reddit Social media
DOI	10.1186/s12889-016-3326-0
语种	英语
WOS记录号	BMC:10.1186/s12889-016-3326-0
出版者	BioMed Central
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/24442
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Zeng,Daniel Dajun
作者单位	1.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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 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).