The Impact of Sleep Onset and Efficiency on Body Mass Index among College Students: A Factor Analysis Approach

Abstract

Sleep is crucial for overall health and well-being, and college students often face sleep issues due to various factors. Inadequate sleep, which affects metabolism and behavior, increases the risk of obesity. Prior studies typically examine individual sleep factors or compare them, neglecting potential interactions and the multidimensional role of sleep in health outcomes. Hence, this study surveyed the seven sleep components using the Pittsburgh Sleep Quality Index (PSQI) to identify factors affecting sleep quality and evaluate its effect on the body mass index of GE-Science, Technology, and Society (GE-STS) students in a private university in Cebu. Three factors were determined through factor analysis: Sleep Health, Sleep Onset and Maintenance Efficiency, and Sleep Disruption Intervention. Moreover, regression analysis supported the significant relationship (p = 0.023) between the sleep onset and maintenance efficiency factor and Body Mass Index (BMI), emphasizing its importance in designing sleep interventions for college students.

Keywords

• pittsburgh sleep quality index (psqi)
• body mass index (bmi)
• college students
• factor analysis
• obesity
• health