Evidence map›Paper›PMID 41039281›Full record

ArticleBMC public health2025

Predictors of e-cigarette usage among individuals with asthma and COPD.

Tucker Rathe, Mario F Perez, Felicia Tanu, Nkiruka C Atuegwu, Eric M Mortensen

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Tucker RatheUniversity of Connecticut School of Medicine, Farmington, CT, 06032, USA.
Mario F PerezUniversity of Connecticut School of Medicine, Farmington, CT, 06032, USA.
Felicia TanuUniversity of Connecticut School of Medicine, Farmington, CT, 06032, USA.
Nkiruka C AtuegwuUniversity of Connecticut School of Medicine, Farmington, CT, 06032, USA.
Eric M MortensenUniversity of Connecticut School of Medicine, Farmington, CT, 06032, USA. mortensen@uchc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study examined what demographic and health factors were associated with motivations for e-cigarette use in those with asthma and COPD.

methodsThe analysis included participants ≥ 18 years old in Wave 5 of the Population Assessment of Tobacco and Health who reported e-cigarette use and had asthma or COPD. We used multivariable logistic regression models, adjusted for survey weights, to examine the associations of potential reasons for e-cigarette use, including affordability and attempts to minimize or quit cigarette smoking.

resultsSeven hundred twenty-five participants (weighted n = 2,588,403) met the inclusion criteria. Factors associated with using e-cigarettes to help reduce cigarette use included being > 45 years old (odds ratio 1.9, 95% confidence interval 1.1-3.2) and having experienced wheezing in the past year (2.1, 1.3-3.4). Experiencing wheezing was also the only factor associated with using e-cigarettes to help quit smoking (2.6, 1.5-4.5). Being Hispanic and being moderately to very worried about the health impacts of any tobacco product usage, which includes electronic products, conferred a lower likelihood of using e-cigarettes to cut down on cigarettes (0.5, 0.3-0.98; 0.4, 0.3-0.8). Those who identified as male or being moderately to very worried about the health impacts of their tobacco product usage were significantly less likely to have initiated e-cigarettes for smoking cessation (0.6, 0.4-0.9; 0.3, 0.2-0.5).

conclusionsFactors associated with the uptake of e-cigarettes as a smoking cessation tool include age, gender, and ethnicity. Wheezing, as a symptom of respiratory illness, appears to have the strongest association with e-cigarette usage as a form of smoking cessation. At the same time, concern about the health impacts of tobacco products is the strongest negative predictor.

Indexed as

AsthmaElectronic Nicotine Delivery SystemsPulmonary Disease, Chronic ObstructiveVapingAdolescentAdultAgedFemaleHumansMaleMiddle AgedMotivationSmoking CessationYoung AdultAsthmaCOPDE-cigarette

Identifiers

PMID41039281
PMCPMC12492538

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.