Evidence map›Paper›PMID 40816348›Full record

ArticlePreventive medicine2025

Electronic cigarettes and pregnancy: A social media content analysis.

Grace Kong, Rachel R Ouellette, Amanda de la Noval, Christina N Kyriakos, Vanessa Ponte, Elise E DeVito

Abstract read
In one paragraph

Article in Preventive medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Grace KongDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America. Electronic address: grace.kong@yale.edu.
Rachel R OuelletteDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America.
Amanda de la NovalDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America.
Christina N KyriakosDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America.
Vanessa PonteDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America.
Elise E DeVitoDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States of America.

Funding

Yale Center for the Study of Tobacco Product Use and Addiction (YCSTP) Project 2: Addictive Threshold of Nicotine and the Impact of SweetenersU54DA036151 · NIDA · YALE UNIVERSITY · PI SUCHITRA KRISHNAN-SARIN · 2018 to 2026
$41.6M
Research Training Program in Substance Use PreventionT32DA019426 · NIDA · YALE UNIVERSITY · PI TAMI P SULLIVAN · 2005 to 2026
$7.5M
Modified Use of E-cigarettes and Marketing on YouTubeR01DA049878 · NIDA · YALE UNIVERSITY · PI KONG, GRACE · 2020 to 2022
$1.4M
NIDA NIH HHS R01 DA049878NIDA NIH HHS T32 DA019426NIDA NIH HHS U54 DA036151
6 · The paper itself

Abstract

objectiveElectronic cigarette (e-cigarette) use during pregnancy is a polarizing and complex public health topic. We examined social media content on e-cigarette use during pregnancy.

methodsWe content analyzed 170 TikTok posts about e-cigarettes and pregnancy in 2023. We coded message valence (anti-, pro-, mixed/unclear/neutral), messenger characteristics (age, gender, pregnancy status, healthcare provider status, e-cigarette and cigarette use), geographic origin, and engagement metrics (likes, favorites, shares, downloads, comments, followers). We assessed whether engagement and message valence differed by messenger and post characteristics using Chi-Square and Kruskal-Wallis tests.

resultsPosts included 55 % (n = 93) anti-, 32.4 % (n = 55) mixed/unclear/neutral, and 12.9 % (n = 22) pro-e-cigarette use during pregnancy messages. Messenger characteristics included 90.6 % (n = 144) female, 53.5 % (n = 85) 18 to 30 years old, 40.9 % (n = 65) pregnant, 7.5 % (n = 12) healthcare providers. Geographic origin included 66.5 % (n = 113) from the United States and 22.9 % (n = 39) from the United Kingdom. Engagement was high, with some videos receiving over 2 million "plays" and 500 thousand "likes." Posts by healthcare providers and messengers over 45 years old had more followers (ps < 0.001). Posts with messengers who quit e-cigarettes, from the US, and 18-45 years old were more likely to contain anti-e-cigarette content, whereas posts from the United Kingdom were more likely to have pro-e-cigarette content (ps ≤ 0.001).

conclusionsA wide range of content on e-cigarette use and pregnancy was observed on TikTok. Future research is needed to understand how pregnant individuals navigate this content. Healthcare providers may be effective messengers for promoting e-cigarette cessation during pregnancy on social media.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaVapingAdolescentAdultFemaleHumansPregnancyYoung AdultContent analysisE-cigarettesNicotinePregnancyQualitative studySocial mediaVaping

Identifiers

PMID40816348
PMCPMC12818053

What Socratic holds

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LicenceCC BY
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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 Socratic graph.