College Student Fitness Analysis System from the Perspective of Commercial Biotechnology and Digital Health

Zhou Ping
College of Medicine, Jingchu University of Technology, Jingmen 448000, China
Li Wucheng
Jingmen Skin Disease Prevention and Treatment Hospital, Jingmen 448000, China

DOI:https://doi.org/10.5912/jcb2484

Abstract:

Amidst the growing convergence of commercial biotechnology and digital health solutions, this study redefines college student fitness evaluation through a multi-modal analytical framework. While maintaining the core principles of health promotion pedagogy, we integrate wearable biosensors with traditional physical fitness tests and self-assessment questionnaires, creating a hybrid dataset that captures both biomechanical performance and physiological adaptability. Leveraging commercial-grade biotech platforms for metabolic profile analysis and musculoskeletal stress pattern recognition, our system applies data mining techniques—including decision tree algorithms and association rule learning—to uncover hidden correlations between lifestyle biometrics and physical fitness outcomes. Notably, the integration of commercial biomarker analysis with academic performance metrics demonstrates how biotech-enhanced digital profiles can optimize personalized health interventions. This approach not only validates the efficacy of health promotion teaching modes but also establishes a scalable model for educational institutions to collaborate with health-tech enterprises in fostering data-driven student wellness ecosystems.