Influence of Lifestyle Behaviors on the Body Mass Index among PathFit 1 Students
DOI:
https://doi.org/10.63750/d6dtz275Keywords:
lifestyle behavior, body mass index, screen time, exercise participation, sleep duration, non-exercise physical activityAbstract
This study assessed whether selected lifestyle behaviors serve as predictors of body mass index (BMI) among PathFit 1 students, with particular attention to screen time, exercise participation, sleep duration, and non-exercise physical activity (NEPA). A descriptive–correlational design was employed, involving 120 PathFit 1 students who completed validated self-report measures. Results showed generally high self-regulation in screen time (M = 3.43, SD = 1.48), moderate engagement in exercise participation (M = 2.68, SD = 1.47) and NEPA (M = 2.73, SD = 1.47), and comparatively low sleep duration (M = 2.16, SD = 1.09). Participants’ BMI averaged 24.69 (SD = 6.89), a value within the normal range, though marked variation was evident across individuals. Multiple regression analysis indicated that exercise participation, sleep duration, and NEPA were significant predictors of BMI, whereas screen time did not demonstrate an independent predictive effect. These findings suggest that active movement patterns and sufficient sleep play a more substantive role in BMI outcomes among university students than screen use alone, underscoring the need for health interventions that emphasize regular physical activity and improved sleep behaviors.
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