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Compulsivity is measurable across distinct psychiatric symptom domains and is associated with familial risk and reward-related attentional capture

Compulsivity is measurable across distinct psychiatric symptom domains and is associated with familial risk and reward-related attentional capture
Compulsivity is measurable across distinct psychiatric symptom domains and is associated with familial risk and reward-related attentional capture

Background. Compulsivity can be seen across various mental health conditions and refers to a tendency toward repetitive habitual acts that are persistent and functionally impairing. Compulsivity involves dysfunctional reward-related circuitry and is thought to be significantly heritable. Despite this, its measurement from a transdiagnostic perspective has received only scant research attention. Here we examine both the psychometric properties of a recently developed compulsivity scale, as well as its relationship with compulsive symptoms, familial risk, and reward-related attentional capture. Methods. Two-hundred and sixty individuals participated in the study (mean age = 36.0 [SD = 10.8] years; 60.0% male) and completed the Cambridge-Chicago Compulsivity Trait Scale (CHI-T), along with measures of psychiatric symptoms and family history thereof. Participants also completed a task designed to measure reward-related attentional capture (n = 177). Results. CHI-T total scores had a normal distribution and acceptable Cronbach’s alpha (0.84). CHI-T total scores correlated significantly and positively (all p < 0.05, Bonferroni corrected) with Problematic Usage of the Internet, disordered gambling, obsessive-compulsive symptoms, alcohol misuse, and disordered eating. The scale was correlated significantly with history of addiction and obsessive-compulsive related disorders in first-degree relatives of participants and greater reward-related attentional capture. Conclusions. These findings suggest that the CHI-T is suitable for use in online studies and constitutes a transdiagnostic marker for a range of compulsive symptoms, their familial loading, and related cognitive markers. Future work should more extensively investigate the scale in normative and clinical cohorts, and the role of value-modulated attentional capture across compulsive disorders.

Addiction, cognition, compulsive, marker, phenotype
1092-8529
Albertella, Lucy
c95a7a69-10d8-4549-a155-55a42170d8c0
Chamberlain, Samuel R.
8a0e09e6-f51f-4039-9287-88debe8d8b6f
Le Pelley, Mike E.
4ee7b54c-9c45-40cc-9f71-a5e93d340338
Greenwood, Lisa Marie
69ac7468-e346-4c82-b1f0-36403961431a
Lee, Rico S.C.
dc94efcb-7e27-4d28-85d4-b76a326574d3
Ouden, Lauren Den
5e105342-6c0a-4f64-8069-4e9c9b596d2e
Segrave, Rebecca A.
0ee96b6e-fd3f-47c7-990d-806312390b83
Grant, Jon E.
07372bd5-8a0d-42b4-b41b-e376c652acf3
Yücel, Murat
aff092ea-35e0-476a-b9bf-ace9b84aa1e1
Albertella, Lucy
c95a7a69-10d8-4549-a155-55a42170d8c0
Chamberlain, Samuel R.
8a0e09e6-f51f-4039-9287-88debe8d8b6f
Le Pelley, Mike E.
4ee7b54c-9c45-40cc-9f71-a5e93d340338
Greenwood, Lisa Marie
69ac7468-e346-4c82-b1f0-36403961431a
Lee, Rico S.C.
dc94efcb-7e27-4d28-85d4-b76a326574d3
Ouden, Lauren Den
5e105342-6c0a-4f64-8069-4e9c9b596d2e
Segrave, Rebecca A.
0ee96b6e-fd3f-47c7-990d-806312390b83
Grant, Jon E.
07372bd5-8a0d-42b4-b41b-e376c652acf3
Yücel, Murat
aff092ea-35e0-476a-b9bf-ace9b84aa1e1

Albertella, Lucy, Chamberlain, Samuel R., Le Pelley, Mike E., Greenwood, Lisa Marie, Lee, Rico S.C., Ouden, Lauren Den, Segrave, Rebecca A., Grant, Jon E. and Yücel, Murat (2020) Compulsivity is measurable across distinct psychiatric symptom domains and is associated with familial risk and reward-related attentional capture. CNS Spectrums, 25 (4). (doi:10.1017/S1092852919001330).

Record type: Article

Abstract

Background. Compulsivity can be seen across various mental health conditions and refers to a tendency toward repetitive habitual acts that are persistent and functionally impairing. Compulsivity involves dysfunctional reward-related circuitry and is thought to be significantly heritable. Despite this, its measurement from a transdiagnostic perspective has received only scant research attention. Here we examine both the psychometric properties of a recently developed compulsivity scale, as well as its relationship with compulsive symptoms, familial risk, and reward-related attentional capture. Methods. Two-hundred and sixty individuals participated in the study (mean age = 36.0 [SD = 10.8] years; 60.0% male) and completed the Cambridge-Chicago Compulsivity Trait Scale (CHI-T), along with measures of psychiatric symptoms and family history thereof. Participants also completed a task designed to measure reward-related attentional capture (n = 177). Results. CHI-T total scores had a normal distribution and acceptable Cronbach’s alpha (0.84). CHI-T total scores correlated significantly and positively (all p < 0.05, Bonferroni corrected) with Problematic Usage of the Internet, disordered gambling, obsessive-compulsive symptoms, alcohol misuse, and disordered eating. The scale was correlated significantly with history of addiction and obsessive-compulsive related disorders in first-degree relatives of participants and greater reward-related attentional capture. Conclusions. These findings suggest that the CHI-T is suitable for use in online studies and constitutes a transdiagnostic marker for a range of compulsive symptoms, their familial loading, and related cognitive markers. Future work should more extensively investigate the scale in normative and clinical cohorts, and the role of value-modulated attentional capture across compulsive disorders.

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More information

Published date: August 2020
Keywords: Addiction, cognition, compulsive, marker, phenotype

Identifiers

Local EPrints ID: 493321
URI: http://eprints.soton.ac.uk/id/eprint/493321
ISSN: 1092-8529
PURE UUID: 04419a62-113f-4438-8bef-fdb952d4ef3f
ORCID for Samuel R. Chamberlain: ORCID iD orcid.org/0000-0001-7014-8121

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Date deposited: 29 Aug 2024 16:49
Last modified: 30 Aug 2024 02:00

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Contributors

Author: Lucy Albertella
Author: Samuel R. Chamberlain ORCID iD
Author: Mike E. Le Pelley
Author: Lisa Marie Greenwood
Author: Rico S.C. Lee
Author: Lauren Den Ouden
Author: Rebecca A. Segrave
Author: Jon E. Grant
Author: Murat Yücel

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