Conceptualising compulsivity through network analysis: A two-sample study.

Journal: Comprehensive psychiatry

Volume: 127

Issue: 

Year of Publication: 2023

Affiliated Institutions:  BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Victoria, Australia. Electronic address: chang.liu@monash.edu. BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Victoria, Australia. SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Western Cape, South Africa. Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Victoria, Australia. Department of Psychiatry & Behavioural Neuroscience, University of Chicago, Chicago, USA. Department of Psychiatry, Faculty of Medicine, University of Southampton, UK; Southern Health NHS Foundation Trust, Southampton, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK. Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom. Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, UK. Department of Psychiatry, Faculty of Medicine, University of Southampton, UK; Southern Health NHS Foundation Trust, Southampton, UK.

Abstract summary 

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.

Authors & Co-authors:  Liu Chang C Albertella Lucy L Lochner Christine C Tiego Jeggan J Grant Jon E JE Ioannidis Konstantinos K Yücel Murat M Hellyer Peter J PJ Hampshire Adam A Chamberlain Samuel R SR

Study Outcome 

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Statistics
Citations : 
Authors :  10
Identifiers
Doi : 10.1016/j.comppsych.2023.152429
SSN : 1532-8384
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
CHI-T;Compulsivity;Network analysis;Structure;Transdiagnostic
Study Design
Cohort Study,Cross Sectional Study
Study Approach
Country of Study
South Africa
Publication Country
United States