Abstract
Background:
Electronic cigarettes (e-cigarettes), which deliver nicotine by vaporizing nicotine-containing fluid, is readable available in a variety of products (pipes, tanks, disposable, rechargeable) which resembles pens, USB sticks, and other recognizable commonplace items. Few studies have examined the prevalence of e-cigarettes use among smokers, former smokers, and those who have never smoked who have depression or anxiety. The main goal of the current study is to examine the relationship between smoking status, depression, and anxiety to e-cigarette use among adults.
Methods:
A cross-sectional analysis of the Health Information National Trend Survey (HINTS), Cycle 2, 2018, served as the dataset. HINTS consisted of 3,504 respondents, age 18 years of age and older and lived in the United States during the period of January 26, 2018, to May 2, 2018. SPSSv24 was used for descriptive tests and PROCESS MACRO (Hayes 2018) performed a regression analysis.
Results:
Logistic regression showed that the model (smoking status, depression/anxiety) predicts e-cigarette use better than chance; F(6, 2980) = 120.1, P < .001, R2 = .195. Smoking status was associated with increased odds of e-cigarette use (OR 1.44; 95% CI 1.34 – 1.55). Current smokers with depression or anxiety, use e-cigarettes more than former smokers with depression or anxiety. Depression/anxiety were also associated with increased odds of e-cigarette use (OR 1.31; 95% CI 1.18 – 1.44). The interaction between smoking status and depression or anxiety was significant (b = -.081, t(2980) = -3.85, P = 0.0001).
Conclusions:
This study showed that smoking status can predict the use of e-cigarettes in those who have depression or anxiety. This study will help in designing theory-based interventions
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