Severe Depression in Healthcare Workers: Sociodemographic and psychosocial factors during the COVID-19 pandemic

Authors

DOI:

https://doi.org/10.15517/ap.v39i139.58478

Keywords:

Depression, mental health, health personnel, psychosocial factors, cross-sectional studies, COVID-19

Abstract

Objective. The study investigated the association between severe depression prevalence in healthcare workers and various factors during the COVID-19 pandemic. Methods. 610 participants completed an online questionnaire, including the Center for Epidemiologic Studies Depression Scale (CESD). Crude and adjusted prevalence ratios were calculated using Poisson regression. Results. Severe depression prevalence was 62.8%. In the adjusted model, women, and those with a family income of up to 4 minimum wages had a higher outcome prevalence. Factors such as poor working conditions, high stigma perception, elevated concern levels, low professional recognition, and increased medication/psychiatric treatment usage were associated with higher severe depression prevalence during the pandemic. Strengthening public policies for healthcare personnel during public-health disasters is essential.

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Published

2025-12-11

How to Cite

Ribeiro Gonçalves, T., Brust-Renck, P. G., Ferrari, J., Veronese, M. V., Cecilia Lopez, L., Cabral, S. M., & Carlotto, M. S. (2025). Severe Depression in Healthcare Workers: Sociodemographic and psychosocial factors during the COVID-19 pandemic. Actualidades En Psicología, 39(139), 96-113. https://doi.org/10.15517/ap.v39i139.58478

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