Association between electronic cigarette use and prediabetes, diabetes, and insulin resistance: a systematic review and meta-analysis

Abstract Electronic cigarette (e-cigarette) use has grown rapidly worldwide, yet metabolic health consequences, particularly glycaemic outcomes, remain poorly understood. This systematic review and meta-analysis synthesises the available epidemiological evidence on the association between e-cigarette use and diabetes mellitus, prediabetes, and insulin resistance. We conducted a systematic search of PubMed, Scopus and Embase from inception through December 2025, following PRISMA 2020 guidelines. Studies reporting effect estimates for the association between e-cigarette use and diabetes, prediabetes, or insulin resistance in adult populations were eligible. Random-effects meta-analyses were performed, stratified by outcome and exposure category (current exclusive e-cigarette users, dual users, and former e-cigarette users versus never users). Heterogeneity was assessed using I 2 statistics and Cochran’s Q test. Ten studies (9 cross-sectional, 1 prospective cohort; combined participants exceeding 2.8 million) met inclusion criteria; 8 cross-sectional studies contributed to quantitative pooling, while one cross-sectional study and the prospective cohort were narratively synthesised. For prediabetes, pooled ORs versus never users were 1.34 (95% CI 1.01–1.77; I 2 = 74.2%) for current exclusive users, 1.26 (1.06–1.49; I 2 = 75.4%) for dual users, and 1.13 (1.06–1.20; I 2 = 0%) for former users. For diabetes, only dual users showed a significant elevation (OR 1.23; 1.01–1.49; I 2 = 77.4%); current exclusive (OR 1.04; 0.93–1.16; I 2 = 45.1%) and former users (OR 1.11; 0.80–1.54; I 2 = 31.6%) did not differ from never users. For insulin resistance, current exclusive e-cigarette users versus never users had an OR of 1.37 (95% CI 1.06–1.77; I 2 = 0%). The sole prospective cohort study found no significant association between exclusive e-cigarette use and incident type 2 diabetes (HR 0.88; 95% CI 0.66–1.16). Neither cross-sectional nor prospective evidence linked exclusive e-cigarette use to diabetes; significant associations were confined to dual users. Elevated odds of prediabetes and insulin resistance among exclusive users were observed cross-sectionally but cannot support causal claims. Large prospective studies with longer follow-up, objective verification of product exposure status (for example, biomarkers distinguishing exclusive vaping from combustible tobacco use), and standardised laboratory-based glycaemic endpoints are needed.

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Journal
Internal and Emergency Medicine
Published
2026-06-13
DOI
https://doi.org/10.1007/s11739-026-04430-x
Primary Topic
Smoking Behavior and Cessation
Type
article
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article

Association between electronic cigarette use and prediabetes, diabetes, and insulin resistance: a systematic review and meta-analysis

Joanna Mitri, Yoshifumi Saisho, Magdalena Walicka, Venera Tomaselli et al.
Internal and Emergency Medicine
Smoking Behavior and Cessation
article

Association between electronic cigarette use and prediabetes, diabetes, and insulin resistance: a systematic review and meta-analysis

Joanna Mitri, Yoshifumi Saisho, Magdalena Walicka, Venera Tomaselli, Yusuff Adebayo Adebisi, Najim Z. Alshahrani, N. Somasundaram, Tadej Battelino, Davide Campagna, Dianna J. Magliano, Abdul Basit, Roger Chen, Muhammad Yazid Jalaludin, R Polosa, Othmar Moser, Anoop Misra, Cristina Russo, Antonio Ceriello, Anas Ali Alhur
article en

Abstract

Abstract Electronic cigarette (e-cigarette) use has grown rapidly worldwide, yet metabolic health consequences, particularly glycaemic outcomes, remain poorly understood. This systematic review and meta-analysis synthesises the available epidemiological evidence on the association between e-cigarette use and diabetes mellitus, prediabetes, and insulin resistance. We conducted a systematic search of PubMed, Scopus and Embase from inception through December 2025, following PRISMA 2020 guidelines. Studies reporting effect estimates for the association between e-cigarette use and diabetes, prediabetes, or insulin resistance in adult populations were eligible. Random-effects meta-analyses were performed, stratified by outcome and exposure category (current exclusive e-cigarette users, dual users, and former e-cigarette users versus never users). Heterogeneity was assessed using I 2 statistics and Cochran’s Q test. Ten studies (9 cross-sectional, 1 prospective cohort; combined participants exceeding 2.8 million) met inclusion criteria; 8 cross-sectional studies contributed to quantitative pooling, while one cross-sectional study and the prospective cohort were narratively synthesised. For prediabetes, pooled ORs versus never users were 1.34 (95% CI 1.01–1.77; I 2 = 74.2%) for current exclusive users, 1.26 (1.06–1.49; I 2 = 75.4%) for dual users, and 1.13 (1.06–1.20; I 2 = 0%) for former users. For diabetes, only dual users showed a significant elevation (OR 1.23; 1.01–1.49; I 2 = 77.4%); current exclusive (OR 1.04; 0.93–1.16; I 2 = 45.1%) and former users (OR 1.11; 0.80–1.54; I 2 = 31.6%) did not differ from never users. For insulin resistance, current exclusive e-cigarette users versus never users had an OR of 1.37 (95% CI 1.06–1.77; I 2 = 0%). The sole prospective cohort study found no significant association between exclusive e-cigarette use and incident type 2 diabetes (HR 0.88; 95% CI 0.66–1.16). Neither cross-sectional nor prospective evidence linked exclusive e-cigarette use to diabetes; significant associations were confined to dual users. Elevated odds of prediabetes and insulin resistance among exclusive users were observed cross-sectionally but cannot support causal claims. Large prospective studies with longer follow-up, objective verification of product exposure status (for example, biomarkers distinguishing exclusive vaping from combustible tobacco use), and standardised laboratory-based glycaemic endpoints are needed.

Internal and Emergency Medicine
Harvard University (US), University of Ljubljana (SI), Medical University of Graz (AT), Indus Hospital (PK), Ljubljana University Medical Centre (SI), University of Malaya (MY), University of Catania (IT), University of Oxford (GB), Graz University of Technology (AT), St Vincent's Hospital Melbourne (AU), St Vincent's Hospital Sydney (AU), University of Ha'il (SA), MultiMedica (IT), University of Jeddah (SA), St Vincent’s Private Hospital Sydney (AU), Ministry of Interior (IT), National Diabetes Obesity and Cholesterol Foundation (IN), Ministry of Interior and Administration (PL), Diabetes Foundation (IN), Ashford and St Peter's Hospitals NHS Foundation Trust (GB), Mossakowski Medical Research Institute, Polish Academy of Sciences (PL), Monash University (AU), University of Glasgow (GB), Polish Academy of Sciences (PL)
Good health and well-being
Openalex Percentile: Top 6%
Smoking Behavior and Cessation
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