Self-Reported Mental Health and Psychosocial Correlates during the COVID-19 Pandemic: Data from the General Population in Italy

Autor: Daniela Marchetti, Roberta Maiella, Rocco Palumbo, Melissa D’Ettorre, Irene Ceccato, Marco Colasanti, Adolfo Di Crosta, Pasquale La Malva, Emanuela Bartolini, Daniela Biasone, Nicola Mammarella, Piero Porcelli, Alberto Di Domenico, Maria Cristina Verrocchio
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Data, Vol 8, Iss 6, p 111 (2023)
Druh dokumentu: article
ISSN: 2306-5729
DOI: 10.3390/data8060111
Popis: The COVID-19 pandemic tremendously impacted people’s day-to-day activities and mental health. This article describes the dataset used to investigate the psychological impact of the first national lockdown on the general Italian population. For this purpose, an online survey was disseminated via Qualtrics between 1 April and 20 April 2020, to record various socio-demographic and psychological variables. The measures included both validated (namely, the Impact of the Event Scale-Revised, the Perceived Stress Scale, the nine-item Patient Health Questionnaire, the seven-item Generalized Anxiety Disorder scale, the Big Five Inventory 10-Item, and the Whiteley Index-7) and ad hoc questionnaires (nine items to investigate in-group and out-group trust). The final sample comprised 4081 participants (18–85 years old). The dataset could be helpful to other researchers in understanding the psychological impact of the COVID-19 pandemic and its related preventive and protective measures. Furthermore, the present data might help shed some light on the role of individual differences in response to traumatic events. Finally, this dataset can increase the knowledge in investigating psychological distress, health anxiety, and personality traits.
Databáze: Directory of Open Access Journals