Literature DB >> 32709604

Analysis of potential associations of JUUL flavours with health symptoms based on user-generated data from Reddit.

Joyce Luo1, Long Chen2, Xinyi Lu3, Jianbo Yuan2, Zidian Xie4, Dongmei Li5.   

Abstract

BACKGROUND: The rise of the popular e-cigarette, JUUL, has been partly attributed to various teen-friendly e-liquid flavours offered. However, the possible health risks associated with each e-liquid flavour still remain unclear. This research focuses on the possible associations between JUUL flavours and health symptoms using social media data from Reddit.
METHODS: Keyword filtering was used to obtain 5,746 JUUL flavour-related posts and 7927 health symptom-related posts from June 2015 to April 2019 from Reddit. Posts from September 2016 to April 2019 were used to conduct temporal analysis for nine health symptom categories and the 8 JUUL flavours. Finally, associations between the JUUL flavours and health symptom categories were examined on the user level using generalised estimating equation models.
RESULTS: According to our temporal analysis, Mango and Mint were the most discussed JUUL flavours on Reddit. Respiratory and throat symptoms were the most discussed health issues together with JUUL on Reddit over time. Respiratory symptoms had potential associations with the Mango, Mint and Fruit JUUL flavours. Digestive symptoms had a potential association with the Crème flavour, psychological symptoms had a potential association with the Cucumber flavour, and cardiovascular symptoms had a potential association with the tobacco flavours.
CONCLUSIONS: Mango and Mint were the two most mentioned JUUL flavours on Reddit. Certain JUUL flavours were more likely to be mentioned together with certain categories of health symptoms by the same Reddit users. Our findings could prompt further medical research into the health symptoms associated with different e-liquid flavours. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  global health; prevention; public opinion

Mesh:

Substances:

Year:  2020        PMID: 32709604      PMCID: PMC8898573          DOI: 10.1136/tobaccocontrol-2019-055439

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  21 in total

1.  Characterizing JUUL-related posts on Twitter.

Authors:  Jon-Patrick Allem; Likhit Dharmapuri; Jennifer B Unger; Tess Boley Cruz
Journal:  Drug Alcohol Depend       Date:  2018-06-23       Impact factor: 4.492

2.  Prevalence of Awareness and Use of JUUL E-cigarettes in a National Probability Sample of Adolescents in the United States.

Authors:  Neil McKeganey; Christopher Russell
Journal:  Am J Health Behav       Date:  2019-05-01

3.  A content analysis of JUUL discussions on social media: Using Reddit to understand patterns and perceptions of JUUL use.

Authors:  Emma I Brett; Elise M Stevens; Theodore L Wagener; Eleanor L S Leavens; Taylor L Morgan; Whitney D Cotton; Emily T Hébert
Journal:  Drug Alcohol Depend       Date:  2018-11-13       Impact factor: 4.492

Review 4.  The rise of e-cigarettes, pod mod devices, and JUUL among youth: Factors influencing use, health implications, and downstream effects.

Authors:  Matthew C Fadus; Tracy T Smith; Lindsay M Squeglia
Journal:  Drug Alcohol Depend       Date:  2019-05-23       Impact factor: 4.492

5.  Menthol attenuates respiratory irritation and elevates blood cotinine in cigarette smoke exposed mice.

Authors:  Michael A Ha; Gregory J Smith; Joseph A Cichocki; Lu Fan; Yi-Shiuan Liu; Ana I Caceres; Sven Eric Jordt; John B Morris
Journal:  PLoS One       Date:  2015-02-13       Impact factor: 3.240

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

Authors:  Qiudan Li; Yongcheng Zhan; Lei Wang; Scott J Leischow; Daniel Dajun Zeng
Journal:  BMC Public Health       Date:  2016-07-30       Impact factor: 3.295

7.  Analytical and toxicological evaluation of flavor chemicals in electronic cigarette refill fluids.

Authors:  Rachel Z Behar; Wentai Luo; Kevin J McWhirter; James F Pankow; Prue Talbot
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

8.  Vaping versus JUULing: how the extraordinary growth and marketing of JUUL transformed the US retail e-cigarette market.

Authors:  Jidong Huang; Zongshuan Duan; Julian Kwok; Steven Binns; Lisa E Vera; Yoonsang Kim; Glen Szczypka; Sherry L Emery
Journal:  Tob Control       Date:  2018-05-31       Impact factor: 7.552

9.  E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter.

Authors:  Allison J Lazard; Adam J Saffer; Gary B Wilcox; Arnold DongWoo Chung; Michael S Mackert; Jay M Bernhardt
Journal:  JMIR Public Health Surveill       Date:  2016-12-12

10.  Underage JUUL Use Patterns: Content Analysis of Reddit Messages.

Authors:  Yongcheng Zhan; Zhu Zhang; Janet M Okamoto; Daniel D Zeng; Scott J Leischow
Journal:  J Med Internet Res       Date:  2019-09-09       Impact factor: 5.428

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  3 in total

1.  Discussions of Flavored ENDS Sales Restrictions: Themes Related to Circumventing Policies on Reddit.

Authors:  Nathan Silver; Padmini Kucherlapaty; Ganna Kostygina; Hy Tran; Miao Feng; Sherry Emery; Barbara Schillo
Journal:  Int J Environ Res Public Health       Date:  2022-06-23       Impact factor: 4.614

2.  Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing.

Authors:  Ryzen Benson; Mengke Hu; Annie T Chen; Shu-Hong Zhu; Mike Conway
Journal:  Front Public Health       Date:  2022-01-05

3.  Perceptions and Discussions of Snus on Twitter: Observational Study.

Authors:  Jiarui Chen; Siyu Xue; Zidian Xie; Dongmei Li
Journal:  JMIR Med Inform       Date:  2022-08-29
  3 in total

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