Clinical Report: A Comprehensive Multi-Agent Framework Utilizing LLMs to Identify Major Factors Influencing Sleep Disorders
Background
Sleep disorders are multifactorial conditions that significantly impact cognitive performance and overall health. Traditional analytical methods often fail to capture the complex interactions among various determinants of sleep quality.
Data Highlights
Pairwise bootstrap analyses indicated weak associations between several factors and sleep outcomes. Physical activity types showed varying effects on sleep disorders, and occupational and psychological factors also played a role.
Key Findings
High caffeine intake is associated with elevated sleep disorder risk.
Physical activity effects on sleep disorders vary by activity type.
Occupational context and psychological stress jointly influence sleep disorder profiles.
Many pairwise physiological associations remain weak and should be interpreted cautiously.
Clinical Implications
The multi-agent framework provides a structured approach to analyze sleep disorders, allowing for better understanding of the interactions among various determinants.
Conclusion
The proposed framework offers a more interpretable and integrative approach to understanding complex interactions among various influencing factors.
