Evidence map›Paper›PMID 39559433›Full record

ArticleCureus2024

Anxiety, Depression, and Fear of COVID-19 and Its Association With Psychosocial Factors Among the Employees of a Malaysian Public University During Movement Control Order.

Asma Assaedah Mahmud, Fatimah Zahra Mohamad Rom, Rosnadia Suain Bon, Maizatullifah Miskan, Mainul Haque

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Asma Assaedah MahmudPsychiatry, Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kuala Lumpur, MYS.
Fatimah Zahra Mohamad RomMedicine, Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kuala Lumpur, MYS.
Rosnadia Suain BonPsychiatry, Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kuala Lumpur, MYS.
Maizatullifah MiskanPrimary Care Medicine, Faculty of Medicine and Health Defence, National Defence University of Malaysia, Kuala Lumpur, MYS.
Mainul HaquePharmacology and Therapeutics, Faculty of Medicine and Defence Health, National Defence University of Malaysia, Kuala Lumpur, MYS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis 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.

methodsA 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.

resultsThe 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.

conclusionsThis 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.

Indexed as

defence universityemergence of coronavirusemployeesgad- 7mental healthphq-9psychologysocial factorsuniversitiesyoung and elderly people

Identifiers

PMID39559433
PMCPMC11571278

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.