scholarly journals Prosocial behaviours under collective quarantine conditions. A latent class analysis study during the 2020 COVID ‐19 lockdown in Italy

Author(s):  
Giovanni Aresi ◽  
Fortuna Procentese ◽  
Silvia Gattino ◽  
Iana Tzankova ◽  
Flora Gatti ◽  
...  

2020 ◽  
Author(s):  
Giovanni Aresi ◽  
Fortuna Procentese ◽  
Silvia Gattino ◽  
IANA TZANKOVA ◽  
Flora Gatti ◽  
...  

Aim. To identify patterns of prosocial behaviours under collective quarantine conditions.Method. Survey data was collected from a sample of Italian adults during the March ̶ May 2020 COVID-19 lockdown in Italy. Participants reported on offline and online prosocial behaviours, Sense of Community Responsibility (SoC-R) and perceptions of community resilience. Latent class analysis (LCA) was used for data analysis.Results. A total of 4,045 participants completed the survey and 2,562 were eligible (72% female; mean age 38.7 years). LCA revealed four classes of prosocial behaviours: Money donors (7%), Online & offline helpers (59%), Online health information sharers (21%), and Neighbour helpers (13%). The classes were partially invariant across age groups (18 ̶ 35 and > 35 years). Being a man and higher SoC-R scores were associated with belonging to the Online & offline helper class. Members of this class also reported the greatest perceptions of community resilience.Conclusions. Results offer insight on the multidimensionality of prosociality under collective quarantine conditions. Online & offline helpers could be targeted for promoting sustained altruism and involvement in community organisations. For the other groups, programmes should aim to eliminate barriers to help others in multiple ways.



2021 ◽  
Author(s):  
Jessica Clark ◽  
Arinaitwe Moses ◽  
Andrina Nankasi ◽  
Christina L. Faust ◽  
Moses Adriko ◽  
...  


2017 ◽  
Vol 53 (3) ◽  
pp. 294-301 ◽  
Author(s):  
Giovanni Aresi ◽  
Michael J Cleveland ◽  
Elena Marta ◽  
Sara Alfieri


2013 ◽  
Author(s):  
James Clifton ◽  
Sydney M. Loewen ◽  
Sarah Depaoli ◽  
Anna V. Song




2009 ◽  
Author(s):  
Tomoko Udo ◽  
Jennifer F. Buckman ◽  
Marsha E. Bates ◽  
Evgeny Vaschillo ◽  
Bronya Vaschillo ◽  
...  


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