Login / Signup

Network Analysis as an Emerging Method in Adversity Research - a Reflection on Pollman et al. (2022).

Rebecca E Lacey
Published in: Research on child and adolescent psychopathology (2023)
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.
Keyphrases
  • early life
  • network analysis
  • mental health
  • young adults
  • electronic health record
  • big data
  • single cell
  • depressive symptoms
  • current status
  • childhood cancer
  • mental illness
  • clinical practice
  • deep learning