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Abstract
Background: Recent evidence showed adverse mental health outcomes associated with the COVID-19 pandemic, including trauma-related symptoms. The Global Psychotrauma Screen (GPS) is a brief instrument designed to assess a broad range of trauma-related symptoms with no available validation in the Italian population.
Aims: This study aimed to examine the factor structure of the Italian version of the GPS in a general population sample exposed to the COVID-19 pandemic and to evaluate trauma-related symptoms in the context of COVID-19 related risk factors associated with lockdown measures.
Methods: We conducted a cross-sectional web-based observational study as part of a long-term monitoring programme of mental health outcomes in the general population. Eighteen thousand one hundred forty-seven participants completed a self-report online questionnaire to collect key demographic data and evaluate trauma-related symptoms using the GPS, PHQ-9, GAD-7, ISI, and PSS. Validation analyses included both exploratory and confirmatory factor analysis and correlation analyses. The relation with putative COVID-19 related risk factors was explored by multivariate regression analysis.
Results: Exploratory factor analyses supported a two-factor model. Confirmatory factor analysis showed that the best fitting model was a three-factor solution, with core Post-traumatic Stress Symptoms (PTSS) (re-experiencing, avoidance, hyperarousal), Negative Affect (symptoms of depressed mood, anxiety, irritability), and Dissociative symptoms. GPS Risk factors and specific COVID-19 related stressful events were associated with GPS total and the three factor scores.
Conclusions: Our data suggest that a wide range of trauma-spectrum symptoms were reported by a large Italian sample during the COVID-19 pandemic. The GPS symptoms clustered best in three factors: Negative Affect symptoms, Core PTSS, and Dissociative symptoms. In particular, high rates of core PTSS and negative affect symptoms were associated with the COVID-19 pandemic in Italy and should be routinely assessed in clinical practice.
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1 Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
2 Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
3 Department of Information Engineering, Computer Science and Mathematics, University of L’Aquila, L’Aquila, Italy
4 Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy; IRCCS Fondazione Santa Lucia, Rome, Italy
5 Department of Psychiatry, Amsterdam Neuroscience & Public Health, Amsterdam UMC, Amsterdam, The Netherlands; ARQ National Psychotrauma Centre, Diemen, The Netherlands