Evidence map›Paper›PMID 39078829›Full record

ArticlePloS one2024

Unintended exposure to e-liquids and subsequent health outcomes among US youth and adults.

Juhan Lee, Grace Kong, Suchitra Krishnan-Sarin, Deepa R Camenga

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

4 authors.

Juhan LeeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States of America.ORCID 0000-0003-0860-3327
Grace KongDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States of America.
Suchitra Krishnan-SarinDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States of America.
Deepa R CamengaDepartment of Emergency Medicine, Yale University 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 Meghan E Morean · 2018 to 2026
$41.6M
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 U54 DA036151
6 · The paper itself

Abstract

This study aimed to determine the prevalence and predictors of oral, ocular, or dermal e-liquid exposure and subsequent outcomes (becoming sick, going to the hospital) in the US. We examined survey data from the Population Assessment of Tobacco and Health Study Wave 5 (2018-2019). The analytic sample included US youth (aged 12-17 years), young adults (aged 18-24 years), and older adults (aged ≥ 25 years) who reported e-cigarette use in the past 12 months. We first determined the prevalence of self-reported e-liquid exposure (in the mouth, skin, or eyes), subsequently "becoming sick" from the exposure, and "going to the hospital" after the exposure. We also examined associations between these outcomes and the device type used (refillable tank /mod system, replaceable prefilled cartridges, disposable/ other device type). E-liquid exposure was reported by 25% of youth (aged 12-17 years), 25% of young adults (aged 18-24 years), and 19% of older adults (aged≥ 25 years). Among individuals reporting e-liquid exposure, subsequent sickness was reported by 10% of youth11% of young adults, and 14% of older adults, and "going to the hospital" was reported by 3.5% of youth, 2.7% of young adults, and 6.8% of older adults. Among young adults, the use of a refillable tank /mod system was associated with higher odds of e-liquid exposure (aOR = 2.2, 95% CI = 1.2, 4.1) than the use of other device types, including disposables. The findings suggest that, at a minimum, e-cigarettes/e-liquids may need warning labels that state the risks of e-liquid exposure and packaging regulations that promote device and bottle designs that minimize e-liquid spills.

Indexed as

Electronic Nicotine Delivery SystemsAdolescentAdultChildFemaleHumansMalePrevalenceSelf ReportUnited StatesVapingYoung Adult

Identifiers

PMID39078829
PMCPMC11288430

What OpenQuestion holds

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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.