The moderating effect of gender on the association between E-cigarette use and smoking status: A cross-sectional study

Addict Behav. 2019 Jun:93:108-114. doi: 10.1016/j.addbeh.2019.01.038. Epub 2019 Jan 25.

Abstract

Introduction: The novel features of e-cigarettes in the recent vaping boom are appealing to females. Given increasing concerns about using e-cigarettes among females, understanding the patterns of using e-cigarettes in females compared to males is critical. We investigate the moderating effect of gender on the association between ever vaping and smoking status and gender differences in reason for ever vaping and in having ever stopped smoking.

Methods: We used population data (n = 38,661) from the 2015, 2016, and 2017 Texas Behavioral Risk Factor Surveillance System (BRFSS) to examine a gender difference in ever vaping associated with smoking status. Additionally, we restricted the sample to current smokers who have ever vaped (n = 4733) to examine the association of gender with quitting smoking as reason for ever vaping and with having ever stopped smoking.

Results: We found a significant association between ever vaping and gender (OR = 0.77, 95%CI = 0.65, 0.91). When smoking status was considered, female never-smokers had a significantly lower likelihood of ever vaping than male never-smokers (OR = 0.43, 95%CI = 0.27, 0.76). No significant gender difference was found in ever vaping to quit smoking (OR = 1.12, 95%CI = 0.73, 1.74) and having ever stopped smoking (OR = 1.41, 95%CI = 0.95, 2.10).

Conclusions: The findings of this study provide evidence of gender differences in vaping patterns. Female never-smokers are less likely than male never-smokers to experiment with e-cigarettes. However, there is no evidence of a gender difference in both ever vaping to quit smoking and having ever stopped smoking. Consistent monitoring of gender differences in using e-cigarettes and stratified policy approaches tailored for genders are necessary.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Cigarette Smoking / epidemiology*
  • Cross-Sectional Studies
  • Ex-Smokers / statistics & numerical data*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Non-Smokers / statistics & numerical data*
  • Sex Factors
  • Smokers / statistics & numerical data*
  • Texas / epidemiology
  • Vaping / epidemiology*
  • Young Adult