Innovative Bioinformatics Applications for Understanding and Addressing Mental Health Challenges in College Populations

Abstract

This study explores the characterization and influencing factors of college students' mental health through the integration of physiological informatics and bioinformatics. By analyzing the psychological tolerance of contemporary college students, the research examines how internal and external environmental stimuli trigger psychological and physiological responses. Leveraging bioinformatics tools, the study identifies key biomarkers and patterns associated with mental health conditions in college populations. A field study involving 2,658 students in S city was conducted, revealing that 531 individuals (19.97%) exhibited psychological disorders. Correlation analysis indicated significant negative relationships between extroversion (E) traits and symptoms of obsessive-compulsion (r = -0.073) and depression (r = -0.106), suggesting that extroverted students are less prone to these conditions. The integration of bioinformatics in this research offers a novel approach to characterizing mental health dynamics, enabling the identification of molecular and systemic underpinnings of psychological conditions. These findings provide actionable insights into the development of data-driven, personalized mental health interventions and inform the commercialization of innovative bioinformatics platforms for mental health screening and management. This study contributes to advancing bioinformatics applications in psychological research and highlights their potential for broader use in digital health solutions.