Evidence map›Paper›PMID 41395348›Full record

ArticleTobacco prevention & cessation2025

A mixed-methods analysis of a do-it-yourself e-cigarette community on Reddit.

Arpita Tripathi, Kar-Hai Chu

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Toxicity and Appeal of Flavoured E-Cigarettes and Flavour Ban Outcomes: A Narrative Review.International journal of environmental research and public health · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Arpita TripathiDepartment of Behavior and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, United States.
Kar-Hai ChuDepartment of Behavior and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFlavored e-cigarette use among US youth remains prevalent, prompting regulatory action by the Food and Drug Administration (FDA). On 2 January 2020, the FDA announced a federal ban on flavored e-cigarettes, which may be circumvented through unregulated do-it-yourself (DIY) methods shared in online communities. Understanding discourse within these communities is essential to understanding unintended policy effects. This study's primary aim was to describe discourse in a DIY e-cigarette subreddit, with a secondary aim of examining how discussions shifted following the 2020 flavor ban.

methodsWe conducted a mixed-methods study of posts from the subreddit r/DIY_eJuice, an online community focused on DIY e-liquid mixing. A total of 5110 posts were extracted between January 2019 and January 2021, with posts before 2 January 2020 defined as the pre-ban period and those after as the post-ban period. From this dataset, we randomly selected 800 posts (17% of the total; 400 pre-ban and 400 post-ban), which were coded by three trained human coders using a systematically developed codebook with 12 thematic categories. Chi-squared tests were applied to compare thematic distributions between periods.

resultsDIY mixing methods (76%, n=605) and discussions about flavors (49%, n=390) were the most frequent topics across both periods, despite the flavor ban. Policy-related discussions significantly increased from 3.5% (n=14) pre-ban to 8.3% (n=33) post-ban (p=0.004). Posts related to safety concerns remained infrequent in both pre- and post-ban period. The proportion of beginner users was constant at 22% across both periods (n=90 at pre-ban, and n=88 at post-ban), while discussions by experienced users increased from 35.3% (n=141) to 41.5% (n=166).

conclusionsRegulatory action on flavored e-cigarettes influenced community discourse, increasing conversations about policy and DIY mixing techniques, but not significantly affecting discussions of safety. Continued surveillance of DIY communities is necessary to inform future public health strategies.

Indexed as

DIY methodse-cigarettesflavor bannicotine and tobacco policysocial media

Identifiers

PMID41395348
PMCPMC12699440

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Registered trials

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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.