Analysis of symptoms and their potential associations with e-liquids’ components: a social media study
文献类型：期刊论文
| 作者 | Li,Qiudan1 ; Zhan,Yongcheng2; Wang,Lei1; Leischow,Scott J.3; Zeng,Daniel Dajun1,2
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| 刊名 | BMC Public Health
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| 出版日期 | 2016-07-30 |
| 卷号 | 16期号:1 |
| 关键词 | e-cigarette e-juice e-liquid Flavors VG PG Nicotine Symptoms Reddit Social media |
| ISSN号 | 1471-2458 |
| DOI | 10.1186/s12889-016-3326-0 |
| 通讯作者 | Zeng,Daniel Dajun(zeng@email.arizona.edu) |
| 英文摘要 | 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. |
| 语种 | 英语 |
| WOS记录号 | BMC:10.1186/S12889-016-3326-0 |
| 出版者 | BioMed Central |
| 源URL | [http://ir.ia.ac.cn/handle/173211/24441]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
| 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 |
| 推荐引用方式 GB/T 7714 | Li,Qiudan,Zhan,Yongcheng,Wang,Lei,et al. 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). |
入库方式： OAI收割
来源：自动化研究所
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