Abstract
Educational stress is an important factor influencing the mental health of students. The level of this stress is brought on by numerous demographic and socio-environmental variables. This study uses quantitative methods, employing statistical analysis such as the chi-square test, independent samples t-tests, ANOVA, and multiple regression to address the correlation between educational stress and mental health among students. It is found that while no significant relationship exists concerning gender, the area of residence has a weak yet significant relationship with mental health. In this context, regression analysis reveals that neither age, family type, nor gender is a significant predictor of mental health, while the area of residence has a weak but significant relationship. These findings imply that certain external variables influence student well-being, while other underlying variables may have a greater overall impact. This study calls for further research to identify additional factors contributing to student stress and mental well-being.
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