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. (1st December 2019)

• Record Type: Journal Article
• Authors: Atuegwu, Nkiruka C.; Perez, Mario F.; Oncken, Cheryl; Mead, Erin L.; Maheshwari, Narinder; Mortensen, Eric M.
• Is Part Of: Drug and alcohol dependence. Volume 205(2019)
• Publication Date: 2019-12-01
• Subjects: E-cigarette -- Prediabetes -- Electronic nicotine delivery systems; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2019.107692
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: Participants were never cigarette smokers (less than 100 cigarettes in lifetime). Participants had no history of diabetes, gestational prediabetes or diabetes. There was an association between current e-cigarette use and prediabetes. There was no association between former e-cigarette use and prediabetes. Abstract: Background: 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. Method: 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. Results: 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. Conclusion: Our findings show that e-cigarette use may be associated with self-reported prediabetes. Further evaluation is needed in prospective studies.