Construction of the Correlation Model of Academic Stress, Sleep and Body Weight among College Students and Relevant Nursing Interventions
Abstract
Objective: To construct an artificial intelligence correlation model of academic stress, sleep quality and body mass among college students, and explore the corresponding nursing intervention strategies. Methods: A total of 756 undergraduate students from local universities were enrolled and surveyed by questionnaire from February to June 2025. Forty students with moderate to high health risks were selected and divided into the intervention group and the control group, with 20 cases in each group. The control group received routine health education. The intervention group underwent risk stratification via the AI correlation model and received hierarchical, individualized and multidisciplinary nursing interventions. Low-risk students received customized health tips, AI sleep tracking and online psychological guidance. Moderate-risk students were provided with tailored exercise and diet plans to rectify unhealthy lifestyles. High-risk students got combined support from school doctors, counselors and tutors, including one-on-one emotional counseling, daily mindfulness training and targeted nutrition management, with real-time monitoring and plan adjustment. Core indicators of the two groups were compared after 8 weeks of intervention. Results: After intervention, the Pittsburgh Sleep Quality Index (PSQI) score of the intervention group decreased to 5.7 ± 1.9, with a reduction rate of 32.9%; the Perceived Stress Scale (PSS) score decreased to 19.7 ± 5.0, with a reduction rate of 24.2%; the Body Mass Index (BMI) decreased to 23.3 ± 2.5, with a reduction rate of 3.3%; the body fat percentage decreased to 24.6 ± 3.8%, with a reduction rate of 7.2%. The improvement of all indicators in the intervention group was significantly better than that in the control group ( P < 0.05 or P < 0.01). Conclusion: The risk stratification based on the AI correlation model provides a decision-making framework for developing targeted nursing interventions for academic stress, sleep quality and body weight among college students.