04. Challenges of Adolescence: A Cross-Group and Multidimensional Exploration on the Associations between High School Student Depression and Risk Behaviors
Conference: Women in Statistics and Data Science 2024
10/16/2024: 4:00 PM - 5:00 PM EDT
Speed
The current understanding of high school students' risk behaviors associated with depression is limited in scope. The current research collects a large dataset and comprehensively examines nine risk aspects (50 individual components), including driving unsafety, weapons, physical fight, suicide, smoking, drinking alcohol, substance abuse, unhealthy eating, and physical inactivity. We explicitly contrast how depression in high school students differentially affects these risk aspects and their individual components. We map out how these effects differ in student segments by genders, grades, and ethnicities, contributing to a richer and clearer pattern of the impact of depression. Beyond that, we take the first attempt in this research stream to use a higher-order PCA approach and demonstrate the nuance of the relationships between depression and risk factors across the sub-segments of students.
Presenting Author
Jessica Sun
First Author
Jessica Sun
CoAuthor
Daniel Zhang, University of Zurich
Target Audience
Beginner
Tracks
Knowledge
Women in Statistics and Data Science 2024
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