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E-cigarette use is associated with a self-reported diagnosis of prediabetes in never cigarette smokers: Results from the behavioral risk factor surveillance system survey.

Authors
  • Atuegwu, Nkiruka C1
  • Perez, Mario F2
  • Oncken, Cheryl3
  • Mead, Erin L4
  • Maheshwari, Narinder5
  • Mortensen, Eric M6
  • 1 Department of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: [email protected]
  • 2 Department of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: [email protected]
  • 3 Department of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: [email protected]
  • 4 Department of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: [email protected]
  • 5 Department of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: [email protected]
  • 6 Department of Medicine, University of Connecticut, Farmington, CT 06030, USA. Electronic address: [email protected]
Type
Published Article
Journal
Drug and alcohol dependence
Publication Date
Dec 01, 2019
Volume
205
Pages
107692–107692
Identifiers
DOI: 10.1016/j.drugalcdep.2019.107692
PMID: 31707269
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The use of e-cigarettes is increasing in the US but there is still a paucity of research on the metabolic effects of e-cigarette use. The goal of this work was to determine the association between e-cigarette use and self-reported prediabetes in adult never cigarette smokers. The 2017 cross sectional Behavioral Risk Factor Surveillance System (BRFSS) survey data was used for the analysis. Current e-cigarette users reported daily or someday use of e-cigarettes and former e-cigarette users reported no current use of e-cigarettes. Participants who reported a history of diabetes, gestational prediabetes/ diabetes were excluded. Odds ratios were calculated to determine the association between e-cigarette use and self-reported prediabetes in never cigarette smokers after adjusting for potential confounders. There were a total of 154,404 participants that met the inclusion criteria. Of those participants, there were 143,952 never, 1339 current and 7625 former e-cigarette users. Current e-cigarette users had an increased odds of reporting a diagnosis of prediabetes 1.97 (95% CI 1.25-3.10) compared to never e-cigarette users. After stratifying by gender, men and women had an increased odds ratio of reporting a diagnosis of prediabetes 2.36 (95% CI 1.26-4.40) and 1.88 (95% CI 1.00-3.53) respectively when compared to never e-cigarette users. There was no association between former e-cigarette use and a self-reported diagnosis of prediabetes. Our findings show that e-cigarette use may be associated with self-reported prediabetes. Further evaluation is needed in prospective studies. Copyright © 2019 Elsevier B.V. All rights reserved.

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