<sec>
<b>Objectives</b>
<p>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.</p></sec>
<sec>
<b>Methods</b>
<p>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.</p></sec>
<sec>
<b>Results</b>
<p>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, <italic>p</italic> < 0.001), “current non-daily e-cigarette users” (AOR = 1.623, <italic>p</italic> < 0.001), and “former e-cigarette users” (AOR = 1.573, <italic>p</italic> < 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, <italic>p</italic> < 0.001). Finally, male “current daily e-cigarette users” (AOR = 1.366, <italic>p</italic> < 0.01) were associated with increased odds of depression compared with female “never e-cigarette users.”</p></sec>
<sec>
<b>Conclusion</b>
<p>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.</p></sec>
Citations
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