Characterization of e-cigarette users according to device type, use behaviors, and self-reported health outcomes: Findings from the EMIT study
Introduction Electronic 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, i...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Publishing
2023-12-01
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| Series: | Tobacco Induced Diseases |
| Subjects: | |
| Online Access: | https://www.tobaccoinduceddiseases.org/Characterization-of-e-cigarette-users-according-to-device-type-nuse-behaviors-and,174710,0,2.html |
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| author | Anna Tillery <sup>+<sup> Angela Aherrera <sup>+<sup> Rui Chen Joyce J. Y. Lin Mina Tehrani Donia Moustafa Jana Mihalic Ana Navas-Acien Ana M. Rule |
| author_facet | Anna Tillery <sup>+<sup> Angela Aherrera <sup>+<sup> Rui Chen Joyce J. Y. Lin Mina Tehrani Donia Moustafa Jana Mihalic Ana Navas-Acien Ana M. Rule |
| author_sort | Anna Tillery <sup>+<sup> |
| collection | DOAJ |
| description | Introduction
Electronic 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.
Methods
From 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.
Results
POD 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.
Conclusions
We 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. |
| first_indexed | 2024-03-08T03:06:03Z |
| format | Article |
| id | doaj.art-843894948767422d9a90e0230b28b869 |
| institution | Directory Open Access Journal |
| issn | 1617-9625 |
| language | English |
| last_indexed | 2024-03-08T03:06:03Z |
| publishDate | 2023-12-01 |
| publisher | European Publishing |
| record_format | Article |
| series | Tobacco Induced Diseases |
| spelling | doaj.art-843894948767422d9a90e0230b28b8692024-02-13T09:09:21ZengEuropean PublishingTobacco Induced Diseases1617-96252023-12-0121December11110.18332/tid/174710174710Characterization of e-cigarette users according to device type, use behaviors, and self-reported health outcomes: Findings from the EMIT studyAnna Tillery <sup>+<sup>0https://orcid.org/0000-0002-9688-962XAngela Aherrera <sup>+<sup>1https://orcid.org/0000-0003-3975-7732Rui Chen2Joyce J. Y. Lin3https://orcid.org/0000-0001-8382-1020Mina Tehrani4Donia Moustafa5Jana Mihalic6Ana Navas-Acien7Ana M. Rule8https://orcid.org/0000-0003-2328-0749Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United StatesJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United StatesJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United StatesJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United StatesJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United StatesJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United StatesJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United StatesMailman School of Public Health, Columbia University, New York, United StatesMailman School of Public Health, Columbia University, New York, United StatesIntroduction Electronic 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. Methods From 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. Results POD 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. Conclusions We 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.https://www.tobaccoinduceddiseases.org/Characterization-of-e-cigarette-users-according-to-device-type-nuse-behaviors-and,174710,0,2.htmlendselectronic cigarettesbehaviorspopulation studiesdemographic classification |
| spellingShingle | Anna Tillery <sup>+<sup> Angela Aherrera <sup>+<sup> Rui Chen Joyce J. Y. Lin Mina Tehrani Donia Moustafa Jana Mihalic Ana Navas-Acien Ana M. Rule Characterization of e-cigarette users according to device type, use behaviors, and self-reported health outcomes: Findings from the EMIT study Tobacco Induced Diseases ends electronic cigarettes behaviors population studies demographic classification |
| title | Characterization of e-cigarette users according to device type,
use behaviors, and self-reported health outcomes: Findings
from the EMIT study |
| title_full | Characterization of e-cigarette users according to device type,
use behaviors, and self-reported health outcomes: Findings
from the EMIT study |
| title_fullStr | Characterization of e-cigarette users according to device type,
use behaviors, and self-reported health outcomes: Findings
from the EMIT study |
| title_full_unstemmed | Characterization of e-cigarette users according to device type,
use behaviors, and self-reported health outcomes: Findings
from the EMIT study |
| title_short | Characterization of e-cigarette users according to device type,
use behaviors, and self-reported health outcomes: Findings
from the EMIT study |
| title_sort | characterization of e cigarette users according to device type use behaviors and self reported health outcomes findings from the emit study |
| topic | ends electronic cigarettes behaviors population studies demographic classification |
| url | https://www.tobaccoinduceddiseases.org/Characterization-of-e-cigarette-users-according-to-device-type-nuse-behaviors-and,174710,0,2.html |
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