Evidence map›Paper›PMID 38059181›Full record

ArticleTobacco induced diseases2023

Characterization of e-cigarette users according to device type, use behaviors, and self-reported health outcomes: Findings from the EMIT study.

Anna Tillery, Angela Aherrera, Rui Chen, Joyce J Y Lin, Mina Tehrani, Donia Moustafa, Jana Mihalic, Ana Navas-Acien, Ana M Rule

Open access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Abuse Liability of Electronic Cigarettes in Never-Smoking Electronic Cigarette Users.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Cost Comparison and Spending on Tobacco Products: Evidence From A Nationally Representative Sample of Adult E-cigarette Users.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  8. Article
  9. Article
  10. 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

9 authors at 2 institutions in 1 country.

Anna TilleryJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Angela AherreraJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Rui ChenJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Joyce J Y LinJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Mina TehraniJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Donia MoustafaJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Jana MihalicJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Ana Navas-AcienMailman School of Public Health, Columbia University, New York, United States.
Ana M RuleJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States.
Johns Hopkins University · USColumbia University · US

Funding

Program on Occupational Health and Safety Education on Emerging Technologies - Mid Atlantic Partnership (POccET MAP)R25ES033038 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI RAMACHANDRAN, GURUMURTHY · 2021 to 2025
$1.2M
Respiratory Effects, Metal and Aldehyde exposure from e-cigarette use in young adults (REMA)R00ES034507 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Angela Aherrera · 2024 to 2026
$747k
ICP-QQQS10OD030355 · OD · JOHNS HOPKINS UNIVERSITY · PI RULE, ANA MARIA · 2021 to 2021
$350k
Respiratory Effects, Metal and Aldehyde exposure from e-cigarette use in young adults (REMA)K99ES034507 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI AHERRERA, ANGELA · 2022 to 2023
$319k
NIEHS NIH HHS K99 ES034507NIEHS NIH HHS R00 ES034507NIEHS NIH HHS R25 ES033038NIH HHS S10 OD030355NIOSH CDC HHS T42 OH008428
6 · The paper itself

Abstract

introductionElectronic cigarettes (e-cigarettes) rapidly evolved from large modifiable (MOD) devices, to small and affordable 'POD' devices. Detailed information on user demographics and preferences according to device type, which can inform potential chemical exposure and policy recommendations, is currently limited. The goal of this study is to describe user demographics, use behaviors and preferences, as well as self-reported health outcomes according to the e-cigarette device type used.

methodsFrom April 2019 to March 2020, 91 participants from Maryland (18 MOD users, 26 POD users, 16 dual users (use of both combustible and e-cigarettes), and 31 non-users (never e-cigarette users and never smokers or >6 months former use) were recruited. A comprehensive questionnaire collected sociodemographic characteristics, e-cigarette/tobacco use behaviors, self-reported health outcomes, device characteristics and preferences. Chi-squared tests for categorical variables, ANOVA for continuous variables, qualitative thematic analysis, linear and logistic regressions were used to assess relationships between variables and groups.

resultsPOD users were younger (average 22.5 years) than MOD users (30.8 years) or dual users (34.3 years) (p<0.001). MOD users reported more puffs per day (mean ± SD: 373 ± 125 puffs) compared to POD users (123.0 ± 172.5). E-cigarette users who were former smokers used 1.16 mg/mL lower nicotine concentrations compared to lifetime exclusive e-cigarette users (p=0.03) in linear models. Exclusive POD users self-reported more coughing than exclusive MOD or dual users (p=0.02). E-cigarette users reported more shortness of breath, headaches, and fatigue from their e-cigarette use compared to non-users.

conclusionsWe found significant differences between user demographics, e-cigarette preferences, device characteristics, and use behaviors by user group. This information can help explain exposure to chemicals from e-cigarettes, including compounds with known toxic effects (e.g. metals, formaldehyde), and help inform the design of prevention and intervention strategies and policy decisions.

Indexed as

behaviorsdemographic classificationelectronic cigarettesENDSpopulation studies

Identifiers

PMID38059181
PMCPMC10696923
OpenAlexW4389325384

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.