Educators and staff adapted to work-from-home setup amidst the covid-19 pandemic. The transition to full-online classes and services leads to poor mental health. The current study explored the association of educator and staff personal characteristics, well-being, and mental health. 326 university employees completed the demographic profile, mental health, and well-being scales. Various hierarchical regression was conducted to determine if personal characteristics and well-being predict common mental health symptoms (depression, anxiety, and stress). Series of multivariate analyses of variance (MANOVA) was conducted to determine the difference between the levels of mental health symptoms according to mental health category, and personal characteristics. The results support the hypothesis with psychological and emotional well-being inversely predicting depression, anxiety, and stress. However, social well-being failed to serve as a significant determinant of common mental health symptoms. MANOVA obtained a significant difference with common mental health symptoms and mental health category and personal characteristics.

Educational institutions are transitioning their learning modalities to flexible learning from remote education; educators and staff continuously encounter ambiguous work demands that negatively affect their well-being. Literature indicates the influence of autonomy support, psychological capital, work engagement, and economic factors (i.e., financial preparedness and job insecurity) on well-being. We propose that social, psychological, work, and economic factors influence the well-being of university educators and staff. 315 employees voluntarily completed the autonomy support, work engagement, hope, self-efficacy, job insecurity, and financial preparedness scales. We used IBM SPSS Amos for the confirmatory factor analysis and structural equation modeling. Five separate models were conducted to test the research objective. Results indicate good to excellent model fit indices for the research scales and structural model. We also found that self-efficacy, work engagement, hope, and financial preparedness during emergencies positively predict well-being, while job insecurity is detrimental. Our findings could serve as a basis for mental health programs to address the mental issues of educators and staff.

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