Published October 4, 2023
| Version v1
Journal article
Open
Conceptualising compulsivity through network analysis: A two-sample study
Creators
- 1. Monash University
- 2. Stellenbosch University
- 3. University of Chicago
- 4. University of Southampton
- 5. King's College London
- 6. Imperial College London
Description
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.
Data availability
The data and code that support the findings of this study are available from the corresponding author, C.L., upon reasonable request.Files
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Additional details
Identifiers
- DOI
- 10.1016/j.comppsych.2023.152429
- Other
- oai:uchicago.tind.io:10268
Funding
- National Research Foundation (South Africa)
- Grant