A Multiple Linear Regression Analysis of The Relationship Between Lifestyle Factors and Classroom Concentration Among UiTM Seremban Students
DOI:
https://doi.org/10.24191/jcrinn.v11i2.607Keywords:
Classroom Concentration, Lifestyle Factors, Sleep Quality, Physical Activity, Diet Quality, Screen TimeAbstract
Classroom concentration is a key factor influencing students’ academic performance and engagement. This study aimed to investigate the relationship of lifestyle factors, including sleep quality, physical activity, diet quality, and screen time, on classroom concentration among university students, especially in UiTM Seremban 3. Data were obtained through structured questionnaires and analysed using Multiple Linear Regression (MLR) to determine the strength of these relationships and build the best predicted regression model. A total of 375 students were selected by the convenience sampling method. After data cleaning, model adequacy checking, and one-time outlier removal, a final sample of 360 responses was used. Assumption testing confirmed the suitability of the data for regression analysis. The findings indicated that all four lifestyle factors had a statistically significant positive relationship with classroom concentration. This study highlights the importance of practicing balanced lifestyles to enhance students’ concentration and learning outcomes. In conclusion, the study provides evidence that lifestyle behaviours significantly influence classroom concentration. The research provides insights for universities to encourage students to live a balanced lifestyle. The developed model also serves as a predictive tool for assessing students’ classroom concentration in similar educational contexts.
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