Recent Findings on the Prevalence of E-Cigarette Use Among Adults in the U.S

Am J Prev Med. 2017 Mar;52(3):385-390. doi: 10.1016/j.amepre.2016.10.029. Epub 2016 Dec 14.

Abstract

Introduction: This study uses a recent source of nationally representative data from in-person surveys to examine national estimates of e-cigarette use among adults and their relationship with demographic, socioeconomic, and health behavior measures.

Methods: Data were provided by the National Health Interview Survey, conducted by the Centers for Disease Control and Prevention. A total of 34,356 respondents aged ≥18 years were examined for 2014, the most recent and only year in which the National Health Interview Survey included questions on e-cigarette use. E-cigarette information included ever and current use. Univariate and multivariable logistic regression analyses were performed, adjusting for age, sex, race/ethnicity, education level, marital status, poverty, and smoking status. Analyses were conducted in 2016.

Results: Compared with those who had never tried e-cigarettes, e-cigarette users were more likely to be younger, male, non-Hispanic white, non-married, poorer, and current smokers. Multivariable logistic regression suggested that respondents with high school or some college education had significantly higher adjusted odds of ever using e-cigarettes relative to those with less than high school education. However, the adjusted odds were not significantly different for college or graduate school education.

Conclusions: The results suggest that, unlike tobacco use, ever using e-cigarettes is positively related to income. Interestingly, e-cigarette use exhibits a non-linear relationship with education. Reasons for the relationship of e-cigarettes with education are unclear and warrant further research.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Educational Status
  • Electronic Nicotine Delivery Systems / economics
  • Electronic Nicotine Delivery Systems / statistics & numerical data*
  • Female
  • Health Behavior*
  • Health Surveys
  • Humans
  • Income / statistics & numerical data*
  • Logistic Models
  • Male
  • Middle Aged
  • Prevalence
  • Risk Factors
  • Smoking / economics
  • Smoking / epidemiology*
  • Socioeconomic Factors
  • United States / epidemiology
  • Young Adult