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Title:Differential associations between smoking, e-cigarette use, and diabetes prevalence
Authors:ID Adebisi, Yusuff Adebayo (Author)
ID Ngoma, Chimwemwe (Author)
ID Campagna, Davide (Author)
ID Ceriello, Antonio (Author)
ID Alshahrani, Najim Z. (Author)
ID Misra, Anoop (Author)
ID Basit, Abdul (Author)
ID Battelino, Tadej (Author), et al.
Files:.pdf PDF - Presentation file, download (801,18 KB)
MD5: 8823B6845C9A94FDF186F69E6F5AEF33
 
URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S1871402125001481?via%3Dihub
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKC LJ - Ljubljana University Medical Centre
Abstract:Background: Cigarette smoking is a well-established risk factor for diabetes, but the relationship between e-cigarette use and diabetes remains uncertain. Evidence to date has been drawn almost entirely from North America and Asia, with little information from European populations. Methods: We conducted a cross-sectional study of 17,854 adults aged 16 years and older from the 2017, 2018, 2019, and 2021 waves of the nationally representative Scottish Health Survey. Diabetes status was based on self-report of doctor-diagnosed diabetes. Participants were classified into six mutually exclusive categories of smoking and e-cigarette use: never users of either cigarettes or e-cigarettes, ex-smokers (former smokers who never used e-cigarettes), current exclusive cigarette smokers, current exclusive e-cigarette users, current dual users, and former e-cigarette users. Weighted prevalence estimates and survey-weighted binary logistic regression models were used to examine associations, adjusting for age group, sex, education, deprivation quintile, ethnicity, alcohol use, physical activity, and hypertension. Results: Diabetes prevalence was highest among ex-smokers (11.3 %, 95 % CI: 10.1-12.5). Prevalence was 5.7 % (95 % CI: 5.2-6.2) among never users of either cigarettes or e-cigarettes, 6.2 % (95 % CI: 4.9-7.9) among current exclusive cigarette smokers, 4.9 % (95 % CI: 3.4-7.1) among current exclusive e-cigarette users, 8.3 % (95 % CI: 5.8-11.8) among current dual users, and 5.1 % (95 % CI: 4.1-6.3) among former e-cigarette users. In adjusted models, ex-smokers had 35 % higher odds of diabetes compared with never users of either cigarettes or e-cigarettes (OR = 1.35, 95 % CI = 1.14-1.60, p < 0.001), whereas current exclusive smokers (OR = 0.78, 95 % CI = 0.58-1.03, p = 0.084), current exclusive e-cigarette users (OR = 0.81, 95 % CI = 0.53-1.22, p = 0.309), current dual users (OR = 1.49, 95 % CI = 0.94-2.38, p = 0.091), and former e-cigarette users (OR = 1.00, 95 % CI = 0.78-1.29, p = 0.973) were not significantly different from never users. Sensitivity analyses restricting ex-smokers to those with ≥5 years since cessation and limiting the sample to adults aged ≥45 years reproduced the same pattern of results. Conclusions: In this nationally representative study of Scottish adults, excess diabetes prevalence was observed among ex-smokers, a pattern that may reflect both reverse causation if individuals quit smoking after diagnosis and the lasting metabolic effects of cumulative smoking exposure. Neither current nor former e-cigarette use was associated with diabetes, and the observed variation in prevalence appeared linked to smoking history rather than e-cigarette use. However, because vaping is relatively recent, further longitudinal research is needed to clarify any long-term risks.
Keywords:cigarette smoking, cross-sectional study, diabetes, e-cigarettes, Scotland, tobacco
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 1-9
Numbering:Vol. 19, issue 10
PID:20.500.12556/DiRROS-28539 New window
UDC:616.379
ISSN on article:1871-4021
DOI:10.1016/j.dsx.2025.103331 New window
COBISS.SI-ID:268199427 New window
Publication date in DiRROS:23.03.2026
Views:153
Downloads:103
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Record is a part of a journal

Title:Diabetes & metabolic syndrome
Publisher:Elsevier
ISSN:1871-4021
COBISS.SI-ID:519667737 New window

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License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

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