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dc.contributor.authorMestre-Bach, Gemma
dc.contributor.authorGranero, Roser
dc.contributor.authorFernández-Aranda, Fernando
dc.contributor.authorPotenza, Marc N.
dc.contributor.authorJiménez-Murcia, Susana
dc.date2023
dc.date.accessioned2023-10-05T11:54:59Z
dc.date.available2023-10-05T11:54:59Z
dc.identifier.citationMestre-Bach, G., Granero, R., Fernandez-Aranda, F., Potenza, M. N., & Jimenez-Murcia, S. (2023). Obsessive-compulsive, harm-avoidance and persistence tendencies in patients with gambling, gaming, compulsive sexual behavior and compulsive buying-shopping disorders/concerns. Addictive Behaviors, 139, 107591.es_ES
dc.identifier.issn0306-4603
dc.identifier.urihttps://reunir.unir.net/handle/123456789/15357
dc.description.abstractBackground 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.es_ES
dc.language.isoenges_ES
dc.publisherAddictive Behaviorses_ES
dc.relation.ispartofseries;vol. 139
dc.relation.urihttps://www.sciencedirect.com/science/article/abs/pii/S0306460322003574?via%3Dihubes_ES
dc.rightsrestrictedAccesses_ES
dc.subjectaddictive behaviorses_ES
dc.subjectcompulsive sexual behaviorses_ES
dc.subjectgamblinges_ES
dc.subjectimpulsive behaviorses_ES
dc.subjectobsessive-compulsive behaviorses_ES
dc.subjectvideo gameses_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleObsessive-compulsive, harm-avoidance and persistence tendencies in patients with gambling, gaming, compulsive sexual behavior and compulsive buying-shopping disorders/concernses_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1016/j.addbeh.2022.107591


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