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Unhealthy behavior clustering and mental health status in United States college students

Journal Article


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.

Authors


Publication Date


  • 2018

Citation


  • Jao, N. C., Robinson, L. D., Kelly, P. J., Ciecierski, C. C. & Hitsman, B. (2018). Unhealthy behavior clustering and mental health status in United States college students. Journal of American College Health, online first 1-11.

Scopus Eid


  • 2-s2.0-85057600545

Number Of Pages


  • 10

Start Page


  • 1

End Page


  • 11

Volume


  • online first

Place Of Publication


  • United States

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.

Authors


Publication Date


  • 2018

Citation


  • Jao, N. C., Robinson, L. D., Kelly, P. J., Ciecierski, C. C. & Hitsman, B. (2018). Unhealthy behavior clustering and mental health status in United States college students. Journal of American College Health, online first 1-11.

Scopus Eid


  • 2-s2.0-85057600545

Number Of Pages


  • 10

Start Page


  • 1

End Page


  • 11

Volume


  • online first

Place Of Publication


  • United States