Abstract

This cross-sectional study among the employees of the National Defense University of Malaysia (NDUM) assessed the levels of depression, anxiety, and fear related to COVID-19 and its association with psychosocial factors. It was conducted during the strict lockdown period imposed by the Malaysian government due to the COVID-19 pandemic. A stratified sampling method was used, and 277 employees were randomly selected to participate in the study. Generalized anxiety disorder (GAD-7) was used to measure anxiety symptoms. Patient health questionnaire (PHQ-9) was utilized to assess depression. The fear of COVID-19 (FOC) was calculated using the Fear of COVID-19 Scale (FCV), while the psychosocial factors affecting psychological impact were measured using a self-generated questionnaire. The study obtained a response rate of 46.2% (n=128). Most respondents were female, married, permanent employees, and from the non-academic group. Depressive and anxiety symptoms were reported by 47% (n=55) and 32.5% (n=38) of the respondents, respectively. Statistically, a higher level of fear related to COVID-19 was found among non-academic employees (p=0.015) and those with permanent employment status (p=0.030). Anxiety was significantly correlated with depression (r=0.70, p≤0.001), while no correlations were found between these factors and fear related to COVID-19. Taking over school lessons was the most troubling factor that affected the respondents' level of distress, followed by working from home and worrying about their family member's health. This study identified significant psychological effects of the pandemic on university employees, with anxiety and depression being notably correlated. While the generalizability of the findings is limited due to a low response rate, several key psychosocial distress factors were identified. These findings emphasize the necessity of addressing psychosocial factors to mitigate the mental health impact of pandemics. Further research with a higher response rate is required to confirm these findings and to design targeted interventions to support affected employees.

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