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

Drug Alcohol Depend. 2019 Dec 1;205:107692. doi: 10.1016/j.drugalcdep.2019.107692. Epub 2019 Oct 28.


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.

Keywords: E-cigarette; Electronic nicotine delivery systems; Prediabetes.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Behavioral Risk Factor Surveillance System*
  • Cross-Sectional Studies
  • Electronic Nicotine Delivery Systems
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prediabetic State / diagnosis*
  • Prediabetic State / epidemiology
  • Prediabetic State / psychology*
  • Prospective Studies
  • Self Report*
  • Smokers / psychology
  • Surveys and Questionnaires
  • Vaping / epidemiology
  • Vaping / psychology*
  • Vaping / trends
  • Young Adult