Related Experiment Video
Updated: Jun 10, 2025

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
Published on: December 6, 2024
Predictors of Poor Mental Health Outcomes in Healthcare Workers during COVID-19: A Two Waves Study
Emanuela Saveria Gritti1, Giulia Bassi2, Arianna Schiano Lomoriello2,3
1Department of Psychology, University of Milano-Bicocca, 20126 Milano, Italy.
Abstract:
Objective: This cross-sectional study aimed to identify potential predictors of poor mental health outcomes among healthcare workers in two different waves of the COVID-19 emergency in Italy. Methods: An online survey collected data from N = 557 healthcare workers (21-77 years). The study predictors were sociodemographic characteristics, occupational status, factors related to the work environment, COVID-19-related adverse events, and lifetime traumatic events. The poor mental health outcomes that were considered were depersonalization/derealization, anxiety, depression, and somatization symptoms. Results: The main predictors of poor mental health outcomes were sleeping less than six hours per night, inadequate protective equipment measures, female gender, personal and familiar infection, living alone, working as a nurse, and working in a COVID-19 ward. Healthcare workers in 2021 reported experiencing more serious accidents and stressful events than those of the first wave. Depressive symptoms and COVID-19-related adverse events were higher in the second pandemic outbreak than in the first. Conclusions: Preventive strategies against poor mental health outcomes should be particularly focused on female nurses who live alone, work in areas with high infection rates, and have experienced the COVID-19 infection personally or who are close to people that have experienced the infection.
More Related Videos
06:55An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
Published on: December 2, 2015
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Stress and Mental Health
Individuals with depression often experience challenges in both their personal and professional...
Psychological and Sociocultural Causes of Schizophrenia
Psychological Responses to Stress
Current Trends in Nursing I
Psychoneuroimmunology: Cardiovascular Disease
A key area of focus in PNI is the relationship between stress and coronary...
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...