Evidence map›Paper›PMID 42663928›Full record

ArticleInternal and emergency medicine2026

Cigarette smoking history, e-cigarette use, and Long COVID: a population-based analysis.

Yusuff Adebayo Adebisi, Anas Ali Alhur

Abstract read
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In one paragraph

Article in Internal and emergency medicine, 2026. 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

2 authors.

Yusuff Adebayo AdebisiCollege of Social Sciences, University of Glasgow, 40 Bute Gardens, Glasgow, G12 8RT, UK. y.adebisi.1@research.gla.ac.uk.ORCID http://orcid.org/0000-0002-2381-0984
Anas Ali AlhurDepartment of Health Informatics, College of Public Health and Health Informatics, University of Hail, Hail, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long COVID imposes a substantial public health burden following the SARS-CoV-2 pandemic, yet the contribution of electronic cigarette (e-cigarette) use, alone or alongside cigarette smoking, remains inadequately characterized in population-representative data. We conducted a cross-sectional analysis of 9274 adults aged 16 years and older from the pooled 2023-2024 Scottish Health Survey, a nationally representative household survey. Cigarette smoking and e-cigarette use were classified into seven mutually exclusive categories, and the outcome was survey-defined self-reported Long COVID, based on symptoms persisting for more than four weeks after first having COVID-19. Survey-weighted logistic regression was used to estimate crude and adjusted odds ratios, with adjustment for survey year, age group, sex, area deprivation, ethnicity, alcohol use, and educational attainment. Overall, 7.4% of adults reported Long COVID. Compared with never cigarette/e-cigarette users, adjusted odds were higher among former cigarette smokers currently using neither product (adjusted odds ratio 1.40, 95% confidence interval 1.12-1.76) and among former smokers currently using e-cigarettes exclusively (1.56, 1.09-2.24). No statistically detectable associations were observed among former e-cigarette users who had never smoked, current e-cigarette users who had never smoked, exclusive current cigarette smokers, or dual users. The two elevated associations persisted after additional adjustment for asthma, chronic obstructive pulmonary disease, diabetes, and cardiovascular disease. The observed pattern may reflect previous cigarette exposure, health-related smoking cessation or switching, reverse causation, and residual selection or confounding; the cross-sectional design does not permit an independent contribution of e-cigarette use to be determined.

Indexed as

Cigarette smokingDual useE-cigarettesEpidemiologyLong COVIDScottish Health SurveyVaping

Identifiers

PMID42663928

What Socratic holds

Textmetadata
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 Socratic graph.