Helping in times of crisis: examining the social identity and wellbeing impacts of volunteering during COVID-19

  • Debra Gray
  • , Jordan Randell
  • , Rachel Manning
  • , Michelle Cleveland

Research output: Contribution to journalArticlepeer-review

Abstract

COVID-19 produced the largest mass mobilisation of collective helping in a generation. Currently, the impact of this voluntary activity is not well understood, particularly for specific groups of volunteers (e.g., new vs. existing) and for different amounts of voluntary activity. Drawing on social psychological work on collective helping, and work from the Social Identity Approach to Health, we seek to address this gap through an analysis of survey data from 1,001 adults living in the south of England (333 men; 646 women; age range = 16–85) during the first UK lockdown. Measures included time spent volunteering pre-/post-COVID, community identification, subjective wellbeing, and volunteering intentions. Those who volunteered during COVID-19 reported higher levels of community identification than those who did not. However, subjective wellbeing benefits were only found for those volunteers who maintained the same level of volunteering (in terms of time) pre-and post-COVID lockdown. New volunteers showed significantly lower levels of wellbeing when they were undertaking 5 or more hours of volunteering a week. Our findings provide unique insight into the variable relationship with wellbeing for different groups of volunteers, as well as how the experiences and functioning of ‘crisis’ volunteering are different from volunteering during ‘normal’ times.

Original languageEnglish
Article numbere2699
Number of pages14
JournalJournal of Community and Applied Social Psychology
Volume34
Issue number1
Early online date2 May 2023
DOIs
Publication statusPublished - 2024
Externally publishedYes

Keywords

  • collective helping
  • community identity
  • COVID-19
  • group membership
  • health
  • helping
  • pandemic
  • social identity
  • volunteering
  • wellbeing

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