TY - JOUR
T1 - Unhealthy behavior clustering and mental health status in United States college students
AU - Jao, Nancy C.
AU - Robinson, Laura D.
AU - Kelly, Peter J.
AU - Ciecierski, Christina C.
AU - Hitsman, Brian
N1 - Funding Information:
Research reported in this publication was supported, in part, by the National Institutes of Health's National Cancer Institute, Grant Numbers U54CA202995, U54CA202997, and U54CA203000. Additional research support was provided by a Cancer Institute New South Wales Early Career Research Fellowship. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors would like to thank Dr. Mary Hoban for her assistance in data attainment. This study utilizes data from the American College Health Association National College Health Assessment (ACHA-NCHA). The opinions, findings, and conclusions reported in this article are those of the authors and are in no way meant to represent the corporate opinions, views, or policies of the ACHA. ACHA does not warrant nor assume any liability or responsibility for the accuracy, completeness, or usefulness of any information presented in this article.
Publisher Copyright:
© 2018, © 2018 Taylor & Francis Group, LLC.
PY - 2019/11/17
Y1 - 2019/11/17
N2 - 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.
AB - 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.
KW - Mental health
KW - clustering
KW - health behavior
KW - tobacco
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U2 - 10.1080/07448481.2018.1515744
DO - 10.1080/07448481.2018.1515744
M3 - Article
C2 - 30485154
AN - SCOPUS:85057600545
SN - 0744-8481
VL - 67
SP - 790
EP - 800
JO - Journal of American College Health
JF - Journal of American College Health
IS - 8
ER -
