- ASA 2022 Data-Driven Decision Making
- A cura di Enrico di Bella, Luigi Fabbris, Corrado Lagazio
Individual and social aspects of after-Covid-19 pandemic depression
- Pasquale Anselmi
- Daiana Colledani
- Simone Di Zio
- Luigi Fabbris
- Egidio Robusto
- © 2023 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-0106-3.18
How did individual and social aspects influence depression feelings during the pandemic? In this paper, we analyse the data collected through a survey conducted in the second half of 2021 among a convenience sample of Italian adults. The survey was aimed at highlighting how Italians experienced the pandemic and the way they perceived their future. A total of 556 Italians answered the CAWI survey. The analyses of the collected data show that, while having been infected by the virus or having had a family member infected by it did not influence the depression level, other individual characteristics and subjective feelings did. In particular, being female, younger, having had low trust in information delivered by television, no experiences of smart working or remote learning, little support from friends and family, and being unable to imagine the future increased the likelihood to feel higher levels of depression. Being able to imagine the future mediated the relationships of age and smart working or remote learning experiences with depression. The results indicate that, having a lower ability to imagine the future, younger people and individuals who did not work or study remotely have also a greater tendency to feel depressed.
- Keywords:
- Depression,
- Covid-19,
- Individual and social aspects,
University of Padua, Italy - ORCID: 0000-0003-2982-7178
University of Padua, Italy - ORCID: 0000-0003-2840-9193
University of Chieti-Pescara G. D'Annunzio, Italy - ORCID: 0000-0002-9139-1451
Tolomeo studi e ricerche, Padua and Treviso, Italy - ORCID: 0000-0001-8657-8361
University of Padua, Italy - ORCID: 0000-0002-7583-2587
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Informazioni sul capitolo
Titolo del capitolo
Individual and social aspects of after-Covid-19 pandemic depression
Autori
Pasquale Anselmi, Daiana Colledani, Simone Di Zio, Luigi Fabbris, Egidio Robusto
Lingua
English
DOI
10.36253/979-12-215-0106-3.18
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
ASA 2022 Data-Driven Decision Making
Sottotitolo del libro
Book of short papers
Curatori
Enrico di Bella, Luigi Fabbris, Corrado Lagazio
Opera sottoposta a peer review
Anno di pubblicazione
2023
Copyright
© 2023 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press, Genova University Press
DOI
10.36253/979-12-215-0106-3
eISBN (pdf)
979-12-215-0106-3
eISBN (xml)
979-12-215-0107-0
Collana
Proceedings e report
ISSN della collana
2704-601X
e-ISSN della collana
2704-5846