Volunteering can be critical to late middle-aged adults’ well-being. Hence, it is essential to understand the antecedents of volunteering in this age group. The present study of Singaporeans aged 50 to 59 (N = 1620) considered 18 volunteering acts and used latent class analysis (LCA) to identify volunteering profiles. The relationships between human, social, and cultural capital and the derived profiles were then examined with reference to resource theory. We observed three prevalent volunteering profiles: low (having a low tendency to engage in any volunteering acts), informal instrumental (primarily offering instrumental help in informal settings), and diverse (exhibiting instrumental and relational acts in formal and informal settings). Using low volunteering as the reference group, we found that informal instrumental volunteering was only predicted by the strength of social networks (social capital). In contrast, diverse volunteering was predicted by several factors including education level, work status, depressive symptoms (human capital), household size, the strength of social networks, attendance at community events (social capital), and religious affiliation (cultural capital). The LCA-derived volunteering profiles reveal population heterogeneity in terms of volunteering acts. The observed relationships between capital and volunteering profiles have implications for policies promoting volunteering in Singapore.

志愿服务对中年晚期成年人的幸福感至关重要。因此，有必要了解这个年龄段的志愿服务的前因。目前对 50 至 59 岁新加坡人 ( N  = 1620) 的研究考虑了 18 种志愿行为，并使用潜在类别分析 (LCA) 来确定志愿服务概况。然后参考资源理论检查了人力、社会和文化资本之间的关系以及衍生的概况。我们观察到三种普遍的志愿服务概况：低（参与任何志愿行为的倾向低）、非正式工具（主要在非正式环境中提供工具帮助）和多样化（在正式和非正式场合展示工具性和关系性行为）。使用低志愿服务作为参考组，我们发现非正式的工具性志愿服务只能通过社交网络（社会资本）的力量来预测。相比之下，多样化志愿服务由几个因素预测，包括教育水平、工作状况、抑郁症状（人力资本）、家庭规模、社交网络的强度、参加社区活动（社会资本）和宗教信仰（文化资本）。LCA 衍生的志愿服务概况揭示了志愿服务行为方面的人口异质性。观察到的资本和志愿服务概况之间的关系对促进新加坡志愿服务的政策具有影响。