VAPING ADVERSE EVENTS AMONG YOUNG ADULTS

To better understand adverse events associated with vaping, this project conducted in-depth discussions with current and former e-cigarette users California ages 18-29 years old to discuss their experiences with vaping-related adverse experiences and used digital surveillance to identify reports of adverse events on social media platforms. Funding for this project was provided by the California Tobacco-Related Disease Research Program.


Project Publications

This section includes academic papers that have been published, are in press, are under review, or are in progress


Label Key
Published
In progress
Under review
Other
Published

Authors: Bardier C, Yang J, Li J, Mackey TK
Journal: BMC Research Notes
Year Published: 2021
Type: Original Research
Abstract:
Objective
The objective of this study was to develop an inductive coding approach specific to characterizing user-generated social media conversations about transition of use of different tobacco and alternative and emerging tobacco products (ATPs).

Results
A total of 40,206 tweets were collected from the Twitter public API stream that were geocoded from 2018 to 2019. Using data mining approaches, these tweets were then filtered for keywords associated with tobacco and ATP use behavior. This resulted in a subset of 5718 tweets, with 657 manually annotated and identified as associated with user-generated conversations about tobacco and ATP use behavior. The 657 tweets were coded into 9 parent codes: inquiry, interaction, observation, opinion, promote, reply, share knowledge, use characteristics, and transition of use behavior. The highest number of observations occurred under transition of use (43.38%, n=285), followed by current use (39.27%, n=258), opinions about use (0.07%, n=46), and product promotion (0.06%, n=37). Other codes had less than ten tweets that discussed these themes. Results provide early insights into how social media users discuss topics related to transition of use and their experiences with different and emerging tobacco product use behavior.
Citation: Bardier C, Yang J, Li J, Mackey TK. Characterizing Alternative and Emerging Tobacco Product Transition of Use Behavior on Twitter. BMC Res Notes. 2021;14:303


Under review
Content Analysis of Nicotine Poisoning “Nic-Sick” Videos on TikTok

Authors: Bardier C, Purushothaman V, McMann T, Nali M, Li Z, Cuomo RE, Mackey TK
Abstract:
Background
TikTok is a micro-video social media platform experiencing exponential
growth with 60% of its monthly users between ages 16-24. Recent studies have found that increased exposure to e-cigarette content on social media may influence patterns of use. However, there is limited research assessing the characteristics of nicotine poisoning-related content posted on social media.

Objective
To assess the characteristics of nicotine-related content on TikTok.

Methods
The study collected TikTok posts associated with the #nicsick hashtag and
used inductive coding to conduct content analysis for video characteristics. Videos weremanually annotated to generate a codebook of nicotine sickness-related themes. Statistical analysis was used to compare continuous characteristics of videos with and without active nicotine sickness TikTok topics.

Results
A total of 132 TikTok videos with the hashtag #nicsick were manually coded,
with 52.3% (n=69) identified as discussing first-hand and second-hand reports of suspected nicotine poisoning symptoms. Among these videos were users who documented their experiences with adverse events and users actively vaping. Videos depicting adverse events and/or nicotine poisoning symptoms were longer in duration than those for other #nicsick-related topics (P=.08).

Conclusion
TikTok users openly discuss experiences, both firsthand and secondhand,
with nicotine adverse events via the #nicsick hashtag. Exposure to promotional e-cigarette social media content may facilitate overconsumption of nicotine, leading to nicotine poisoning. The appeal of “going viral” may encourage TikTok users to spread novel and potentially dangerous e-cigarette use patterns in addition to discussions and experiences with nicotine poisoning.


In progress
Content and Trend Analysis of User-Generated “Nic Sick” Tweets: A Retrospective Infoveillance

Authors: Purushothaman V, Bardier C, McMann T, Li Z, Cuomo RE, Mackey TK



Academic Presentations, Media Coverage, Blogs, etc.

This section includes oral and poster presentations at conferences, news and media coverage, and other research dissemination activities


Label Key
Poster
Other
Presentation
Media
Stacks Image 285780
https://www.youtube.com/watch?v=UBH1zywpXCc
Presentation
+

Authors: Cuomo, RE, Mackey TK

Stacks Image 285505
https://www.youtube.com/watch?v=F6ZGx8wrQN8&list=PLbcaFEh80BFlMhsUAMF2QNRp0mqufxVGQ&index=4
Poster

Characterization of ENDS industry coordination and influence on CA tobacco control policy on Facebook

+

Authors:
Xu Q, Yang J, Cai M, Haupt M, Nali M, Mackey TK


Project Data Resources

This section includes project datasets that can be downloaded for further research purposes. Due to different restrictions, some of the data has had fields removed. For details please contact study team


Label Key
Dataset
Codebook
Data Dictionary
Other

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