Nancy C Jao1, Laura D Robinson2, Peter J Kelly2, Christina C Ciecierski3, Brian Hitsman1. 1. Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. 2. School of Psychology, University of Wollongong, Wollongong, NSW, Australia. 3. Department of Economics, Northeastern Illinois University, Chicago, IL, USA.
Abstract
Objective: Examine the association of health risk behavior clusters with mental health status among US college students. Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering of health risk behaviors (alcohol binge drinking, cigarette/marijuana use, insufficient physical activity, and fruit/vegetable consumption), and chi-square and ANOVA analyses to examine associations between the class membership and mental health (mental health diagnoses, psychological symptoms, and self-injurious thoughts/behaviors). Results: Three classes were identified with differing rates of binge drinking, substance use, and insufficient physical activity but similar rates of insufficient fruit/vegetable consumption. Students classified with the highest rates of binge drinking and cigarette/marijuana use had the highest rates across all mental health variables compared to other classes. Conclusions: Students who reported engaging in multiple health risk behaviors, especially high alcohol and cigarette/marijuana use, were also more likely to report poorer mental health.
Objective: Examine the association of health risk behavior clusters with mental health status among US college students. Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering of health risk behaviors (alcohol binge drinking, cigarette/marijuana use, insufficient physical activity, and fruit/vegetable consumption), and chi-square and ANOVA analyses to examine associations between the class membership and mental health (mental health diagnoses, psychological symptoms, and self-injurious thoughts/behaviors). Results: Three classes were identified with differing rates of binge drinking, substance use, and insufficient physical activity but similar rates of insufficient fruit/vegetable consumption. Students classified with the highest rates of binge drinking and cigarette/marijuana use had the highest rates across all mental health variables compared to other classes. Conclusions: Students who reported engaging in multiple health risk behaviors, especially high alcohol and cigarette/marijuana use, were also more likely to report poorer mental health.
Entities:
Keywords:
Mental health; clustering; health behavior; tobacco
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