Research on physical health assessment and intervention strategies for college students based on biomarkers

Effective physical health assessments and intervention strategies are crucial for college students, who often face unique stressors that can impact their physiological health. In this analysis, we explore how biomarkers can be utilized to assess physical health and the efficacy of targeted interventions for this demographic. Hypotheses were developed based on the three intervention groups: (1) a face-to-face intervention group receiving a tailored wellness program, (2) an Internet of Things (IoT) gadgets intervention group using a health management assessment, and (3) a control group with only baseline and follow-up measurements. College students (n = 204) were randomized into these groups. Biomarkers related to stress and inflammation (e.g., cortisol levels, high-sensitivity C-reactive protein (hs-CRP)) were measured at baseline, post-intervention (10 weeks), and follow-up (36 weeks). Psychological and physical health outcomes were also assessed using standardized questionnaires. The Mixed-Effects Models, ANOVA, and Structural Equation Modeling (SEM) were used to analyze the differences between groups, changes in biomarkers over time, and the relationships between psychological, physiological, and lifestyle variables. Results indicated that the face-to-face wellness group demonstrated significantly better physical health outcomes compared to both the IoT gadgets group and control group, with diet modification showing the highest effectiveness, followed by physical activity and stress management interventions.