Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London WC1E 7HB, UK.
Perspect Public Health. 2022 Sep;142(5):287-296. doi: 10.1177/1757913921994146. Epub 2021 Apr 15.
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.
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.
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.
The predictors of volunteering during the pandemic may be slightly different from other non-emergency period.
随着 COVID-19 疫情在国际上的蔓延，对志愿者的需求不断增加。本研究旨在确定包括人口统计学背景、社会经济特征、个性和心理社会因素在内的志愿服务预测因素。
该研究的数据来自伦敦大学学院（UCL）进行的英国 COVID-19 社会研究中的 31890 名成年人，这是一项纵向研究，重点关注 COVID-19 大流行期间居住在英国的成年人的心理和社会体验。采用四次因素分析来确定志愿工作的潜在类别。使用多变量逻辑回归来确定志愿服务的预测因素以及自 COVID-19 大流行前以来志愿服务行为的变化。
确定了大流行期间的三种类型的志愿服务：正式志愿服务、社会行动志愿服务和邻里志愿服务。回归分析表明，志愿工作的模式由人口统计学背景、社会经济因素、个性和心理社会因素决定。
大流行期间志愿服务的预测因素可能与其他非紧急时期略有不同。
