ABSTRACT
Using differential, multivariable risk models, we assessed the contribution of substance use and stress/traumatic events to hookah use among African American college students (n = 1,402) using data from the Fall 2012 American College Health Association-National College Health Assessment (ACHA-NCHA) II. Lifetime hookah use was 24.8%, with 34.2% of lifetime users having done so in the past 30 days. Compared to nonusers, hookah users had significantly higher use rates of alcohol, marijuana, other tobacco, and other drugs. Furthermore, hookah use was more likely among those with cumulative stress, yet less likely among older students. An implication is that prevention messages may need to be tailored for African American college students and particularly target younger students, substance users, and those with cumulative stress. These findings also inform policy discussions regarding hookah use on college campuses.
Subject(s)
Black or African American/ethnology , Psychological Trauma/ethnology , Smoking Water Pipes/statistics & numerical data , Stress, Psychological/ethnology , Students/statistics & numerical data , Substance-Related Disorders/ethnology , Adolescent , Adult , Female , Health Promotion , Humans , Life Change Events , Male , Substance-Related Disorders/prevention & control , Universities/statistics & numerical data , Young AdultABSTRACT
Objective: 10-50% of college students meet the diagnostic criteria for one or more mental illnesses; unfortunately, less than half seek treatment. This study assessed the predictive power of specific variables on students' use of on-campus mental health resources using the American College Health Association's National College Health Assessment (ACHA-NCHA) II. Participants: Respondents included undergraduate and graduate students ages 18-35 years (n = 96,121). Methods: We analyzed data from the ACHA-NCHA II Fall 2014 and Spring 2015. Andersen's Behavioral Model of Health Services Use enabled selection of predisposing, enabling, and need predictor variables; these were analyzed individually and collectively. Results: Predisposing, enabling, and need variables accounted for 9%, 2.3%, and 17% of the overall variance. Significant variables associated with a student's decision to access on-campus mental health services accounted for 23% of variance total. Conclusions: This insight could allow universities to better recognize students at-risk for needing but not accessing mental health services.