Obsessive-compulsive, harm-avoidance and persistence tendencies in patients with gambling, gaming, compulsive sexual behavior and compulsive buying-shopping disorders/concerns.

Addictive behaviors Compulsive sexual behaviors Gambling Impulsive behaviors Obsessive-compulsive behaviors Video games

Journal

Addictive behaviors
ISSN: 1873-6327
Titre abrégé: Addict Behav
Pays: England
ID NLM: 7603486

Informations de publication

Date de publication:
04 2023
Historique:
received: 11 07 2022
revised: 13 12 2022
accepted: 14 12 2022
pubmed: 2 1 2023
medline: 18 1 2023
entrez: 1 1 2023
Statut: ppublish

Résumé

There is a growing interest in determining the specific role of obsessive-compulsive features in different behavioral addictions. However, more studies comparing sizable clinical populations with different addictions are needed.Therefore, a main aim of the present study was to explore the presence of obsessive-compulsive features among people with different behavioral addictions (gambling disorder, internet gaming disorder, compulsive sexual behavior disorder and compulsive buying-shopping concerns). Through a clustering procedure, the existence of empirical clusters among treatment-seeking patients based on obsessive-compulsive measures was explored. The Symptom Checklist-Revised, and the Temperament and Character Inventory-Revised were obtained from 4,010 treatment-seeking patients. Obsessive-compulsive features were measured with the obsessive-compulsive subscale of the Symptom Checklist-Revised and the harm avoidance and persistence dimensions of the Temperament and Character Inventory-Revised. Cluster analysis was applied to explore the existence of empirical groups based on obsessive-compulsive features. Patients with compulsive sexual behavior disorder and compulsive buying-shopping disorder reported the highest scores on the obsessive-compulsive subscale, while patients with gambling disorder showed the lowest scores on harm avoidance, and patients with internet gaming disorder the lowest scores on persistence. Two mutually exclusive clusters were identified. Cluster 1 exhibited a more maladaptive psychopathological and personality profile than cluster. These results provide new evidence regarding obsessive-compulsive features in specific behavioral addictions. Therapeutic approaches should consider that different addictions may present distinct levels of obsessive-compulsive features.

Sections du résumé

BACKGROUND AND AIMS
There is a growing interest in determining the specific role of obsessive-compulsive features in different behavioral addictions. However, more studies comparing sizable clinical populations with different addictions are needed.Therefore, a main aim of the present study was to explore the presence of obsessive-compulsive features among people with different behavioral addictions (gambling disorder, internet gaming disorder, compulsive sexual behavior disorder and compulsive buying-shopping concerns). Through a clustering procedure, the existence of empirical clusters among treatment-seeking patients based on obsessive-compulsive measures was explored.
MATERIALS AND METHODS
The Symptom Checklist-Revised, and the Temperament and Character Inventory-Revised were obtained from 4,010 treatment-seeking patients. Obsessive-compulsive features were measured with the obsessive-compulsive subscale of the Symptom Checklist-Revised and the harm avoidance and persistence dimensions of the Temperament and Character Inventory-Revised. Cluster analysis was applied to explore the existence of empirical groups based on obsessive-compulsive features.
RESULTS
Patients with compulsive sexual behavior disorder and compulsive buying-shopping disorder reported the highest scores on the obsessive-compulsive subscale, while patients with gambling disorder showed the lowest scores on harm avoidance, and patients with internet gaming disorder the lowest scores on persistence. Two mutually exclusive clusters were identified. Cluster 1 exhibited a more maladaptive psychopathological and personality profile than cluster.
DISCUSSION AND CONCLUSIONS
These results provide new evidence regarding obsessive-compulsive features in specific behavioral addictions. Therapeutic approaches should consider that different addictions may present distinct levels of obsessive-compulsive features.

Identifiants

pubmed: 36587418
pii: S0306-4603(22)00357-4
doi: 10.1016/j.addbeh.2022.107591
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

107591

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest FFA and SJM received consultancy honoraria from Novo Nordisk and FFA editorial honoraria as EIC from Wiley. The rest of the authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Auteurs

Gemma Mestre-Bach (G)

Universidad Internacional de la Rioja, La Rioja, Spain.

Roser Granero (R)

Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.

Fernando Fernández-Aranda (F)

Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.

Marc N Potenza (MN)

Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Child Study Center, Yale University School of Medicine, New Haven, CT, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA; Wu Tsai Institute, Yale University School of Medicine, New Haven, CT, USA. Electronic address: marc.potenza@yale.edu.

Susana Jiménez-Murcia (S)

Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain. Electronic address: sjimenez@bellvitgehospital.cat.

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