Graduation Year
2023
Document Type
Campus Only Senior Thesis
Degree Name
Bachelor of Arts
Reader 1
Mark Huber
Reader 2
Stacey Wood
Abstract
This thesis presents an in-depth analysis of the impact of demographic factors on depression and anxiety during the COVID-19 pandemic. Utilizing exploratory data analysis and logistic regression models, the research identifies heightened vulnerabilities to anxiety and depressive symptoms within specific demographic groups in the United States. Key findings indicate that females, young adults, and individuals from Hispanic, Latino, or mixed-racial backgrounds, as well as those with lower educational attainment, are disproportionately affected.
The study successfully develops two predictive models that estimate the likelihood of depression and anxiety based on demographic data and identifies household income as the main contributor in both models, demonstrating high accuracy and potential for resource allocation and intervention program design. The importance of inclusive and responsive policy-making is emphasized, particularly in addressing the needs of the most impacted groups.
Recommended Citation
Zhao, Jingxiu, "PREDICTIVE MODELING ON INDICATORS OF ANXIETY AND DEPRESSION DURING COVID-19" (2023). Scripps Senior Theses. 2213.
https://scholarship.claremont.edu/scripps_theses/2213
This thesis is restricted to the Claremont Colleges current faculty, students, and staff.