Sleep Quality, Resilience, and Time Management as Predictors of Mental Health of Student-Athletes in the Framework of Biopsychosocial Model: A Multiple Linear Regression Analysis

Mental health of student-athletes is troubling. This study aimed to determine the significance of sleep quality, resilience, and time management as predictors of mental health among student-athletes. Using multiple linear regression analysis, with 201 student-athletes as the selected sample through convenience sampling, it was found that the determinants are all significant predictors, accounting for a 58.7% degree of influence. The Biopsychosocial Model was affirmed. Collaborative activities may be initiated by educators, coaches, guidance counselors, mental health professionals, and policymakers to enhance sleep quality, resilience, and time management, ultimately benefiting the mental health of student-athletes.