Conceptualising compulsivity through network analysis: A two-sample study

Chang Liu*, Lucy Albertella, Christine Lochner, Jeggan Tiego, Jon E. Grant, Konstantinos Ioannidis, Murat Yücel, Peter J. Hellyer, Adam Hampshire, Samuel R. Chamberlain

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Compulsivity is a transdiagnostic construct crucial to understanding multiple psychiatric conditions and problematic repetitive behaviours. Despite being identified as a clinical- and research-relevant construct, there are limited insights into the internal conceptual structure of compulsivity. To provide a more nuanced understanding of compulsivity, the current study estimated the structure of compulsivity (indexed using the previously validated Cambridge-Chicago Compulsivity Trait Scale, CHI-T) among two large-scale and geographically distinct samples using the network estimation method. The samples consisted of a United Kingdom cohort (n = 122,346, 51.4% female, Mean age = 43.7, SD = 16.5, range = 9–86 years) and a South Africa cohort (n = 2674, 65.6% female, Mean age = 24.6, SD = 8.6, range = 18–65 years). Network community analysis demonstrated that compulsivity was constituted of three interrelated dimensions, namely: perfectionism, cognitive rigidity and reward drive. Further, ‘Completion leads to soothing’ and ‘Difficulty moving from task to task’ were identified as core (central nodes) to compulsivity. The dimensional structure and central nodes of compulsivity networks were consistent across the two samples. These findings facilitate the conceptualisation and measurement of compulsivity and may contribute to the early detection and treatment of compulsivity-related disorders.

Original languageEnglish
Article number152429
JournalComprehensive Psychiatry
Volume127
DOIs
StatePublished - Nov 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023

Keywords

  • CHI-T
  • Compulsivity
  • Network analysis
  • Structure
  • Transdiagnostic

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