Past-Year Mental Illness Diagnosis and E-cigarette Use Status Among a College-Aged Sample: Findings From the National College Health Assessment (2017-2019).

PURPOSE: To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status.

DESIGN: Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students.

SETTING: Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019.

SUBJECTS: The analytic sample included 277 291 university students.

MEASURES: Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user).

ANALYSIS: Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use.

RESULTS: Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use.

CONCLUSION: Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students.