Research Department of Epidemiology & Public Health, University College London, 1-19 Torrington Place, WC1E 6BT, London, United Kingdom.
Res Child Adolesc Psychopathol. 2023 Dec;51(12):1785-1787. doi: 10.1007/s10802-023-01063-y. Epub 2023 Apr 10.
In this issue, Pollmann and colleagues (2022) apply network analyses to childhood and adolescent adversity data. They use the rich, longitudinal data from the Avon Longitudinal Study of Parents and Children. By applying network analyses, they draw-out clusters of adversities and the strength of relationships between these clusters and individual adversities with later mental health, substance use and wellbeing. The authors additionally look at adversity clusters in two developmental stages - childhood and adolescence. This commentary discusses how adversity clustering has typically been captured in studies in the past, what network analyses might offer this area of research, and the contribution of the study by Pollmann et al. (2022). The commentary concludes with some reflections and recommendations for the future of adversity clustering research.
在本期中，Pollmann 及其同事（2022）将网络分析应用于儿童和青少年逆境数据。他们使用了雅芳纵向父母与子女研究中丰富的纵向数据。通过应用网络分析，他们得出了逆境集群以及这些集群与个体逆境与后期心理健康、物质使用和幸福感之间关系的强度。作者还在两个发展阶段（儿童期和青春期）研究了逆境集群。本评论讨论了过去的研究中通常如何捕捉逆境集群，网络分析可能为这一研究领域提供什么，以及 Pollmann 等人的研究的贡献。评论最后对未来的逆境集群研究进行了反思和建议。
