Evidence map›Paper›PMID 34239037›Full record

ArticleJournal of exposure science & environmental epidemiology2021

Estimation of the dose of electronic cigarette chemicals deposited in human airways through passive vaping.

Wei-Chung Su, Ying-Hsuan Lin, Su-Wei Wong, Jin Y Chen, Jinho Lee, Anne Buu

Open access · greenAbstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Correlation gas chromatography and two-dimensional volatility basis methods to predict gas-particle partitioning for e-cigarette aerosols.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Disposable E-Cigarettes and Associated Health Risks: An Experimental Study.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Article
  13. 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

6 authors at 2 institutions in 1 country.

Wei-Chung SuDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA. Wei-Chung.Su@uth.tmc.edu.
Ying-Hsuan LinDepartment of Environmental Sciences, University of California, Riverside, CA, USA.
Su-Wei WongDepartment of Health Promotion & Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jin Y ChenEnvironmental Toxicology Graduate Program, University of California, Riverside, CA, USA.
Jinho LeeDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Anne BuuDepartment of Health Promotion & Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
The University of Texas Health Science Center at Houston · USUniversity of California, Riverside · US

Funding

Southwest Center for Occupational and Environmental HealthT42OH008421 · OH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FELKNOR, SARAH A. · 2005 to 2024
$24.1M
Methodology and measurement for examining short-term and long-term effects of e-cigarette and polysubstance useR01DA049154 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BUU, YUH-PEY ANNE, LIN, HSIEN-CHANG · 2019 to 2022
$2.6M
Development and Application of a Mobile Apparatus for Ultrafine Particle Inhalation Estimation in Urban CommunitiesR21ES031795 · NIEHS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HAN, INKYU, SU, WEI-CHUNG · 2020 to 2021
$428k
ACL HHS T42OH008421NIDA NIH HHS R01 DA049154NIEHS NIH HHS R21 ES031795NIOSH CDC HHS T42 OH008421
6 · The paper itself

Abstract

backgroundExisting studies on the health effects of e-cigarettes focused on e-cigarette users themselves. To study the corresponding effects on passive vapers, it is crucial to quantify e-cigarette chemicals deposited in their airways.

objectiveThis study proposed an innovative approach to estimate the deposited dose of e-cigarette chemicals in the passive vapers' airways. The effect of the distance between active and passive vapers on the deposited dose was also examined.

methodsThe chemical constituent analysis was conducted to detect Nicotine and flavoring agents in e-cigarette aerosol. The Mobile Aerosol Lung Deposition Apparatus (MALDA) was employed to conduct aerosol respiratory deposition experiments in real-life settings to generate real-time data.

resultsFor e-cigarette aerosol in the ultrafine particle regime, the deposited doses in the alveolar region were on average 3.2 times higher than those in the head-to-TB airways, and the deposited dose in the passive vaper's airways increased when being closer to the active vaper. SIGNIFICANCE: With prolonged exposure and close proximity to active vapers, passive vapers may be at risk for potential health effects of harmful e-cigarette chemicals. The methodology developed in this study has laid the groundwork for future research on exposure assessment and health risk analysis for passive vaping.

Indexed as

Electronic Nicotine Delivery SystemsVapingAerosolsHumansNicotineSmokersAerosolsNicotineE-cigarette, Aerosol, Human airways, Respiratory deposition, Deposited dose

Identifiers

PMID34239037
PMCPMC8595527
OpenAlexW3179488049

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.