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Conceptualising compulsivity through network analysis: A two-sample study

Authors :
Chang Liu
Lucy Albertella
Christine Lochner
Jeggan Tiego
Jon E. Grant
Konstantinos Ioannidis
Murat Yücel
Peter J. Hellyer
Adam Hampshire
Samuel R. Chamberlain
Source :
Comprehensive Psychiatry, Vol 127, Iss , Pp 152429- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

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.

Details

Language :
English
ISSN :
0010440X
Volume :
127
Issue :
152429-
Database :
Directory of Open Access Journals
Journal :
Comprehensive Psychiatry
Publication Type :
Academic Journal
Accession number :
edsdoj.615ba5340b48c30833b4014d1fe
Document Type :
article
Full Text :
https://doi.org/10.1016/j.comppsych.2023.152429