*Repeated measures design, *Cross-sectional method, *Data analysis, *Statistical sampling, *Questionnaires, *Logistic regression analysis, *Anxiety, *Hospital emergency services, *Descriptive statistics, *Odds ratio, *Surveys, *Statistics, *Psychology of college students, *Public health, *Data analysis software, *COVID-19 pandemic, *Mental depression

Objectives: To identify potential associations between student characteristics and mental health symptoms during the early parts of the pandemic. Participants: 3,883 students at a large public university on the West Coast of the United States. Methods: We conducted a repeated cross-sectional survey to assess health-protective behaviors, mental health, social support, and stigma resistance. The survey was administered in April 2020 and again in November/December 2020. Odds of mental health symptoms were estimated using multinomial logistic regression. Results: 39% of respondents reported anxious symptoms, 9% reported depressive symptoms, and 27% reported both anxious and depressive symptoms. AAPI had lower odds of reporting both anxious/depressive symptoms compared to whites (OR = 0.59; 95% CI:0.43–0.81). Conclusion: Students reported elevated levels of psychological stress during the pandemic, yet our results may underestimate the actual odds due to stress brought on by COVID-19. [ABSTRACT FROM AUTHOR]

Copyright of Journal of American College Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)