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

Author(s)	Jean O. Lugas
Country	Philippines
Abstract	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.
Keywords	Sleep Quality, Resilience, Time Management, Mental Health, Student-Athletes, Biopsychosocial Model, Multiple Linear Regression Analysis
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-28
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5647
Short DOI	https://doi.org/g9mvvp

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International Journal on Science and Technology