Gender Difference in the Association Between E-Cigarette Use and Depression among US Adults
10.24171/j.phrp.2021.12.1.03
- Author:
Baksun SUNG
1
Author Information
1. Department of Sociology, Social Work, and Anthropology, Utah State University, UT, USA
- Publication Type:Original Article
- From:
Osong Public Health and Research Perspectives
2021;12(1):13-19
- CountryRepublic of Korea
- Language:English
-
Abstract:
Objectives:The objective of this study was to determine the association between e-cigarette use and depression and examine how this association is different by gender among US adults.
Methods:Data from the 2017 Behavioral Risk Factor Surveillance System and Selected Metropolitan/ Micropolitan Area Risk Trends was used, and included 174,351 of 230,875 US adults aged 18 years and older. Data were analyzed using the multivariate logistic regression models.
Results:After adjusting for age, race, education, income, marital status, employment status, smoking status, and physical activity, firstly, “current daily e-cigarette users” (AOR = 2.487, p < 0.001), “current non-daily e-cigarette users” (AOR = 1.623, p < 0.001), and “former e-cigarette users” (AOR = 1.573, p < 0.001) were associated with increased odds of depression compared with “never e-cigarette users.”Secondly, women were associated with increased odds of depression compared with men (AOR = 1.797, p < 0.001). Finally, male “current daily e-cigarette users” (AOR = 1.366, p < 0.01) were associated with increased odds of depression compared with female “never e-cigarette users.”
Conclusion:Thus, even though women tend to be more vulnerable to depression compared with men, e-cigarette use was positively associated with depression among both men and women.
