The Impact of COVID-19 Pandemic on the Psychological Well-being Among Health Care Workers: A 6-month Cohort Longitudinal Survey Study

Overview

Journal Rev Psiquiatr Salud Ment

Specialties Psychiatry
Psychology

Date 2022 Aug 30

PMID 36039175

Authors

Manuel Canal-Rivero

Cristian Montes-Garcia

Nathalia Garrido-Torres

Amanda Moreno-Mellado

Pablo Reguera-Pozuelo

Miguel Ruiz-Veguilla

Benedicto Crespo-Facorro

Affiliations

Soon will be listed here.

Abstract

Introduction: Health care workers (HCW) have been identified as a risk group to suffer psychological burden derived from Coronavirus Disease 19 (COVID-19) pandemic. In addition, possible gender differences in the emotional reactions derived from COVID-19 pandemic have been suggested in this population. The aims of the study were to explore the impact of COVID-19 as well as possible gender differences on mental health status and suicidality in a cohort of HCW.

Materials And Methods: One thousand four hundred and thirty-two HCW responded to an online survey including sociodemographic, clinical, and psychometric tests in May 2020 while 251 HCW answered in November 2020. Mental health status was measured by General Health Questionnaire 28 (GHQ-28) in both time periods.

Results: HCW informed of a worsening in somatic symptomatology over the follow up period. Gender differences were found in all GHQ-28 dimensions as well in the total score of the questionnaire. Post hoc analyses displayed significant interaction between the time and gender in somatic and anxiety dimensions as well as in GHQ-28 total score. Stress produced by COVID-19 spreading and the feeling of being overwhelmed at work resulted the main predictors of psychological distress although each domain is characterized by a specific set of predictors.

Conclusions: Somatic reactions represent the most sensitive dimension over the follow-up period. Moreover, women are characterized by a greater psychological distress at the beginning, although these differences tend to disappear over time. Finally, a complex network of factors predicted different dimensions of psychological distress, showing the complexity of prevention in high-risk populations facing major disasters.

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