Evidence map›Paper›PMID 39920672›Full record

ArticleRespiratory research2025

Association of e-cigarette and cigarette use with self-reported chronic obstructive pulmonary disease (COPD): a multivariable analysis of a large United States data set.

Alicia J Burns, Alexander W Steinberg, James D Sargent, Jenny E Ozga, Zhiqun Tang, Cassandra A Stanton, Laura M Paulin

Abstract read
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

7 authors.

Alicia J BurnsDepartment of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA. alicia.j.burns@hitchcock.org.
Alexander W SteinbergDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
James D SargentDepartments of Pediatrics and Biomedical Data Sciences, Geisel School of Medicine, Hanover, NH, USA.
Jenny E OzgaBehavioral Health & Health Policy, Westat, Rockville, MD, USA.
Zhiqun TangBehavioral Health & Health Policy, Westat, Rockville, MD, USA.
Cassandra A StantonBehavioral Health & Health Policy, Westat, Rockville, MD, USA.
Laura M PaulinDepartment of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.

Funding

Understanding the Influence of Community-level Deprivation and Rural Residence in Cancer CareP20GM148278 · NIGMS · DARTMOUTH-HITCHCOCK CLINIC · PI MARK A CREAGER · 2023 to 2026
$11.6M
Rurality, tobacco use, and COPD: an analysis of two national datasetsR21HL161758 · NHLBI · DARTMOUTH-HITCHCOCK CLINIC · PI PAULIN, LAURA MARIE · 2021 to 2022
$492k
NHLBI NIH HHS R21 HL161758NIGMS NIH HHS P20 GM148278NIGMS NIH HHS P20GM148278NIH HHS R21HL161758
6 · The paper itself

Abstract

backgroundPrior research has linked e-cigarette use with chronic obstructive pulmonary disease (COPD). We examined the relationship between e-cigarette use and COPD prevalence in older adults with varying cigarette use status.

methodsData from the 2020 National Health Interview Survey were used to estimate the association between each of 9 exposure categories based on cigarette use (never, former, current) and e-cigarette use (never, former, current), with respondent-reported physician-diagnosed COPD prevalence in individuals 40 years and older (N = 22,997). Weighted multivariable analysis accounted for cigarette pack years, age of cigarette smoking onset, race, income-to-poverty ratio, rurality, gender, age, and medical comorbidities. Sensitivity of results was tested in 3 separate models with addition of years since quit cigarettes, smoking intensity and duration.

results39.7% of individuals reported ever smoking cigarettes and 10.2% reported ever using e-cigarettes. Among individuals with ever e-cigarette use, 88.5% also reported current or former cigarette smoking. The weighted prevalence of COPD was 7.2%; Among those who reported former cigarette smoking, the highest risk of COPD prevalence compared to never cigarette/never e-cigarette use was in those currently using e-cigarettes (adjusted risk ratio (ARR) 2.82, 95% confidence interval (CI) [1.5, 5.3]). The ARR for former cigarette/current e-cigarette use was significantly larger than the ARR for former cigarette/never e-cigarette use (p < 0.002) in 3 out of 4 models; however, one model had the ARR attenuated to 1.35 (0.67, 2.76) when years since quitting smoking was added to the model. Other cigarette/e-cigarette combinations were also sensitive to how cigarette smoking history was modeled. For example, ARR for former cigarette/former e-cigarette (1.68 [1.00, 2.80] and current cigarette/former e-cigarette (2.50 [1.56,4.02]) were reduced to 1.05 (0.62, 1.77) and 1.04 (0.62, 1.75) respectively, when cigarette smoking duration was substituted for pack-years.

conclusionsCurrent e-cigarette use among former cigarette smokers was associated with significantly higher COPD prevalence compared to never e-cigarette use. However, COPD risk for most cigarette/e-cigarette combinations could be greatly attenuated by how cigarette smoking history was modeled, raising questions about the robustness of these associations in prior research and the possibility of reverse causality in prior cross-sectional research.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsPulmonary Disease, Chronic ObstructiveSelf ReportVapingAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedMultivariate AnalysisPrevalenceUnited StatesChronic obstructive pulmonary disease (COPD)E-cigaretteElectronic nicotine delivery systems (ENDS)Smoking cessation

Identifiers

PMID39920672
PMCPMC11806618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.