Observational studyJournal of medical Internet research2020
A Social Media Study on the Associations of Flavored Electronic Cigarettes With Health Symptoms: Observational Study.
Observational study in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical features, radiological findings, and mortality in patients with e-cigarette or vaping product use-associated lung injury: a systematic review and meta-analysis.BMC pulmonary medicine · 2026Pooled it
- Spatiotemporal analysis of electronic cigarette discussion on Twitter/X using natural language processing.BMC public health · 2026Article
- Spatiotemporal Analysis of Electronic Cigarette Perception on Twitter/X Using Natural Language Processing.Research square · 2026Article
- What Strategies Do Healthcare Providers Use to Promote Adolescents' Vaping Cessation? A Scoping Review.International journal of environmental research and public health · 2025Article
- Public Perceptions and Discussions of the US Food and Drug Administration's JUUL Ban Policy on Twitter: Observational Study.JMIR formative research · 2024Article
- e-Cigarette Tobacco Flavors, Public Health, and Toxicity: Narrative Review.Online journal of public health informatics · 2024Review
- Vaping: Public Health, Social Media, and Toxicity.Online journal of public health informatics · 2024Article
- Content analysis of conversations on Reddit: reactions to FDA's ENDS prioritized enforcement policy.Frontiers in communication · 2024Article
- Community and Opinion Leadership Effects on Vaping Discourse: A Network Analysis of Online Reddit Threads.Journal of health communication · 2023Article
- Potential Impact of the COVID-19 Pandemic on Public Perception of Water Pipes on Reddit: Observational Study.JMIR infodemiology · 2023Article
- Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use-Associated Lung Injury Outbreak: Comparative Study.Journal of medical Internet research · 2022Article
- Monitoring and Identifying Emerging e-Cigarette Brands and Flavors on Twitter: Observational Study.JMIR formative research · 2022Article
- Potential Impact of FDA Flavor Enforcement Policy on Vaping Behavior on Twitter.International journal of environmental research and public health · 2022Article
- Discussion of waterpipe tobacco smoking on reddit.Heliyon · 2022Article
- Perceptions and Discussions of Snus on Twitter: Observational Study.JMIR medical informatics · 2022Article
- Investigating the Impact of the New York State Flavor Ban on e-Cigarette-Related Discussions on Twitter: Observational Study.JMIR public health and surveillance · 2022Observational
- Health Care Professionals' Clinical Skills to Address Vaping and e-Cigarette Use by Patients: Needs and Interest Questionnaire Study.JMIR formative research · 2022Article
- Perception of the Food and Drug Administration Electronic Cigarette Flavor Enforcement Policy on Twitter: Observational Study.JMIR public health and surveillance · 2022Observational
- Public Reactions to the New York State Policy on Flavored Electronic Cigarettes on Twitter: Observational Study.JMIR public health and surveillance · 2022Observational
- Oral health practices and self-reported adverse effects of E-cigarette use among dental students in 11 countries: an online survey.BMC oral health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundIn recent years, flavored electronic cigarettes (e-cigarettes) have become popular among teenagers and young adults. Discussions about e-cigarettes and e-cigarette use (vaping) experiences are prevalent online, making social media an ideal resource for understanding the health risks associated with e-cigarette flavors from the users' perspective.
objectiveThis study aimed to investigate the potential associations between electronic cigarette liquid (e-liquid) flavors and the reporting of health symptoms using social media data.
methodsA dataset consisting of 2.8 million e-cigarette-related posts was collected using keyword filtering from Reddit, a social media platform, from January 2013 to April 2019. Temporal analysis for nine major health symptom categories was used to understand the trend of public concerns related to e-cigarettes. Sentiment analysis was conducted to obtain the proportions of positive and negative sentiment scores for all reported health symptom categories. Topic modeling was applied to reveal the topics related to e-cigarettes and health symptoms. Furthermore, generalized estimating equation (GEE) models were used to quantitatively measure potential associations between e-liquid flavors and the reporting of health symptoms.
resultsTemporal analysis showed that the Respiratory category was consistently the most discussed health symptom category among all categories related to e-cigarettes on Reddit, followed by the Throat category. Sentiment analysis showed higher proportions of positive sentiment scores for all reported health symptom categories, except for the Cancer category. Topic modeling conducted on all health-related posts showed that 17 of the top 100 topics were flavor related. GEE models showed different associations between the reporting of health symptoms and e-liquid flavor categories, for example, lower association of the Beverage flavors with Respiratory compared with other flavors and higher association of the Fruit flavors with Cardiovascular than other flavors.
conclusionsThis study identified different potential associations between e-liquid flavors and the reporting of health symptoms using social media data. The results of this study provide valuable information for further investigation of the health effects associated with different e-liquid flavors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.