AIMS: As the COVID-19 pandemic has grown internationally, there has been an increased need for volunteers . This study aimed to identify the predictors of volunteering including demographic backgrounds, socio-economic characteristics, personality, and psychosocial factors .
METHODS: Data were analysed from 31,890 adults in the UK COVID-19 Social Study run by the University College London - a longitudinal study focusing on the psychological and social experiences of adults living in the UK during the COVID-19 pandemic . Tetrachoric factor analysis was applied to identify latent categories of voluntary work . Multivariate logistic regression was used to identity predictors for volunteering and change in volunteering behaviours since before the COVID-19 pandemic .
RESULTS: Three types of volunteering during the pandemic were identified as follows: formal volunteering, social action volunteering, and neighbourhood volunteering . Regression analysis showed that the pattern of voluntary work was structured by demographic backgrounds, socio-economic factors, personality, and psychosocial factors .
CONCLUSION: The predictors of volunteering during the pandemic may be slightly different from other non-emergency period.