Self-Reported Mental Health and Psychosocial Correlates during the COVID-19 Pandemic: Data from the General Population in Italy
Author:
Marchetti Daniela1ORCID, Maiella Roberta1, Palumbo Rocco1ORCID, D’Ettorre Melissa1, Ceccato Irene1ORCID, Colasanti Marco1ORCID, Di Crosta Adolfo1ORCID, La Malva Pasquale1ORCID, Bartolini Emanuela2ORCID, Biasone Daniela3, Mammarella Nicola1ORCID, Porcelli Piero1ORCID, Di Domenico Alberto1ORCID, Verrocchio Maria Cristina1
Affiliation:
1. Department of Psychological, Health and Territorial Sciences, G. d’Annunzio University of Chieti-Pescara, 31, Via dei Vestini, 66100 Chieti, Italy 2. Department of Neurosciences, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti-Pescara, 11, Via Luigi Polacchi, 66100 Chieti, Italy 3. NHS, Department of Mental Health, Mental Health Service, snc (ex ospedale “SS. Annunziata”), Via Valignani, 66100 Chieti, Italy
Abstract
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.
Subject
Information Systems and Management,Computer Science Applications,Information Systems
Reference29 articles.
1. Mazza, C., Ricci, E., Colasanti, M., Cardinale, A., Bosco, F., Biondi, S., Tambelli, R., Di Domenico, A., Verrocchio, M.C., and Roma, P. (2023). How Has COVID-19 Affected Mental Health and Lifestyle Behaviors after 2 Years? The Third Step of a Longitudinal Study of Italian Citizens. Int. J. Environ. Res. Public Health, 20. 2. Marchetti, D., Fontanesi, L., Camisasca, E., Colasanti, M., Covelli, V., Di Giandomenico, S., Miragoli, S., and Verrocchio, M.C. (2023). The Role of Pre-Pandemic Mental Health Status and Personality Traits on Psychological Distress during the COVID-19 Lockdown among Italian Young Adults. Behav. Sci., 13. 3. Mazza, C., Ricci, E., Biondi, S., Colasanti, M., Ferracuti, S., Napoli, C., and Roma, P. (2020). A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors. Int. J. Environ. Res. Public Health, 17. 4. Flesia, L., Monaro, M., Mazza, C., Fietta, V., Colicino, E., Segatto, B., and Roma, P. (2020). Predicting Perceived Stress Related to the COVID-19 Outbreak through Stable Psychological Traits and Machine Learning Models. J. Clin. Med., 9. 5. COVID-19 Pandemic and Lockdown Measures Impact on Mental Health Among the General Population in Italy;Rossi;Front. Psychiatry,2020
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