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; Daniel Dajun Zeng
Source PublicationBMC PUBLIC HEALTH
2016-07-30
Volume16Issue:674Pages:1-12
SubtypeArticle
AbstractBackground: 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.
KeywordE-cigarette E-juice E-liquid Flavors Vg Pg Nicotine Symptoms Reddit Social Media
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1186/s12889-016-3326-0
WOS KeywordNICOTINE DELIVERY-SYSTEMS ; ELECTRONIC CIGARETTES ; TOBACCO ; HEALTH
Indexed BySCI ; SSCI
Language英语
Funding OrganizationU.S. National Institutes of Health (NIH)(1R01DA037378-01) ; National Natural Science Foundation of China(91224008 ; 61172106 ; 71472175)
WOS Research AreaPublic, Environmental & Occupational Health
WOS SubjectPublic, Environmental & Occupational Health
WOS IDWOS:000381003600005
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12271
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorDaniel Dajun Zeng
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
3.Mayo Clin, Scottsdale, AZ 85259 USA
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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(674):1-12.
APA Li, Qiudan,Zhan, Yongcheng,Wang, Lei,Leischow, Scott J.,Zeng, Daniel Dajun,&Daniel Dajun Zeng.(2016).Analysis of symptoms and their potential associations with e-liquids' components: a social media study.BMC PUBLIC HEALTH,16(674),1-12.
MLA Li, Qiudan,et al."Analysis of symptoms and their potential associations with e-liquids' components: a social media study".BMC PUBLIC HEALTH 16.674(2016):1-12.
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