In this paper we analyse the changes in daily behaviours of Italian youth in the aftermath of the COVID-19 pandemic. Various rules were imposed during the pandemic to face the viral spread. At the official end of the pandemic, in 2022, many behaviours returned as they were before, assumed as normality, and others changed either with respect to the pandemic uses or even to normal times. The issue at hand is which of the behaviours that started because of the pandemic will be kept for a period long enough to state that the pandemic changed people’s behaviours. The analysis is focused on young adults, i.e., people who are between 18 and 34 years old. The statistical analysis explores 16 behaviours, some of which were either introduced for the first time, or were enhanced during the pandemic. The analysis is aimed to understand if there was a shift in Italian youth’s behaviours due to the pandemic. The analysis showed that most behaviours returned rapidly to normality and some, such as wearing gloves in public spaces and greeting with elbow or fist, vanished as the pandemic officially ended. The only behaviours that the pandemic compelled and individuals kept after the pandemic are frequently washing hands, taking off shoes at the home door, using a push scooter and using the internet for purchases or home banking. Our analyses highlighted also few differences in terms of behaviour between social and demographic groups of youngsters.
University of Turin, Italy - ORCID: 0000-0002-2488-3659
University of Padua, Italy - ORCID: 0000-0001-8657-8361
Titolo del capitolo
Pandemic-induced changes in daily behaviours and future time perspectives of Italian young adults
Autori
Luigi Bollani, Luigi Fabbris
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.16
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series