Roser Granero1, Fernando Fernández-Aranda2, Marta Baño3, Trevor Steward3, Gemma Mestre-Bach4, Amparo Del Pino-Gutiérrez5, Laura Moragas4, Núria Mallorquí-Bagué3, Neus Aymamí4, Mónica Goméz-Peña4, Salomé Tárrega6, José M Menchón7, Susana Jiménez-Murcia8. 1. Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/ Monforte de Lemos, 3-5, Pabellón 11 - Planta 0, 28029, Madrid, Spain; Department of Psychobiology and Methodology of Health Science, Autonomous University of Barcelona, C/ Fortuna Edificio B, 08193, Bellaterra, Cerdanyola del Vallès, Barcelona, Spain. 2. Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/ Monforte de Lemos, 3-5, Pabellón 11 - Planta 0, 28029, Madrid, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/ Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge - Pavelló de Govern, Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain. 3. Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/ Monforte de Lemos, 3-5, Pabellón 11 - Planta 0, 28029, Madrid, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/ Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain. 4. Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/ Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain. 5. Nursing Department of Mental Health, Public Health, Maternal and Child Health, Nursing School, University of Barcelona, Campus de Bellvitge - Pavelló de Govern, Feixa Llarga s/n, 08907, Hospitalet del Llobregat, Barcelona, Spain. 6. Department of Psychobiology and Methodology of Health Science, Autonomous University of Barcelona, C/ Fortuna Edificio B, 08193, Bellaterra, Cerdanyola del Vallès, Barcelona, Spain. 7. Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/ Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge - Pavelló de Govern, Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain; Ciber de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, C/ Monforte de Lemos 3-5, Pabellón 11 - Planta 0, 28029, Madrid, Spain. 8. Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/ Monforte de Lemos, 3-5, Pabellón 11 - Planta 0, 28029, Madrid, Spain; Pathological Gambling Unit, Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/ Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge - Pavelló de Govern, Feixa Llarga s/n, 08907, Hospitalet de Llobregat, Barcelona, Spain. Electronic address: sjimenez@bellvitgehospital.cat.
Abstract
UNLABELLED: In spite of the revived interest in compulsive buying disorder (CBD), its classification into the contemporary nosologic systems continues to be debated, and scarce studies have addressed heterogeneity in the clinical phenotype through methodologies based on a person-centered approach. OBJECTIVES: To identify empirical clusters of CBD employing personality traits, as well as patients' sex, age and the age of CBD onset as indicators. METHODS: An agglomerative hierarchical clustering method defining a combination of the Schwarz Bayesian Information Criterion and log-likelihood was used. RESULTS: Three clusters were identified in a sample of n=110 patients attending a specialized CBD unit a) "male compulsive buyers" reported the highest prevalence of comorbid gambling disorder and the lowest levels of reward dependence; b) "female low-dysfunctional" mainly included employed women, with the highest level of education, the oldest age of onset, the lowest scores in harm avoidance and the highest levels of persistence, self-directedness and cooperativeness; and c) "female highly-dysfunctional" with the youngest age of onset, the highest levels of comorbid psychopathology and harm avoidance, and the lowest score in self-directedness. CONCLUSION: Sociodemographic characteristics and personality traits can be used to determine CBD clusters which represent different clinical subtypes. These subtypes should be considered when developing assessment instruments, preventive programs and treatment interventions.
UNLABELLED: In spite of the revived interest in compulsive buying disorder (CBD), its classification into the contemporary nosologic systems continues to be debated, and scarce studies have addressed heterogeneity in the clinical phenotype through methodologies based on a person-centered approach. OBJECTIVES: To identify empirical clusters of CBD employing personality traits, as well as patients' sex, age and the age of CBD onset as indicators. METHODS: An agglomerative hierarchical clustering method defining a combination of the Schwarz Bayesian Information Criterion and log-likelihood was used. RESULTS: Three clusters were identified in a sample of n=110 patients attending a specialized CBD unit a) "male compulsive buyers" reported the highest prevalence of comorbid gambling disorder and the lowest levels of reward dependence; b) "female low-dysfunctional" mainly included employed women, with the highest level of education, the oldest age of onset, the lowest scores in harm avoidance and the highest levels of persistence, self-directedness and cooperativeness; and c) "female highly-dysfunctional" with the youngest age of onset, the highest levels of comorbid psychopathology and harm avoidance, and the lowest score in self-directedness. CONCLUSION: Sociodemographic characteristics and personality traits can be used to determine CBD clusters which represent different clinical subtypes. These subtypes should be considered when developing assessment instruments, preventive programs and treatment interventions.
Authors: Susana Jiménez-Murcia; Roser Granero; Ines Wolz; Marta Baño; Gemma Mestre-Bach; Trevor Steward; Zaida Agüera; Anke Hinney; Carlos Diéguez; Felipe F Casanueva; Ashley N Gearhardt; Anders Hakansson; José M Menchón; Fernando Fernández-Aranda Journal: Front Psychol Date: 2017-04-04
Authors: Birte Vogel; Patrick Trotzke; Sabine Steins-Loeber; Giulia Schäfer; Jana Stenger; Martina de Zwaan; Matthias Brand; Astrid Müller Journal: PLoS One Date: 2019-03-06 Impact factor: 3.240
Authors: Susana Valero-Solís; Roser Granero; Fernando Fernández-Aranda; Trevor Steward; Gemma Mestre-Bach; Núria Mallorquí-Bagué; Virginia Martín-Romera; Neus Aymamí; Mónica Gómez-Peña; Amparo Del Pino-Gutiérrez; Marta Baño; Laura Moragas; José M Menchón; Susana Jiménez-Murcia Journal: Front Psychiatry Date: 2018-10-16 Impact factor: 4.157
Authors: Astrid Müller; Nora M Laskowski; Patrick Trotzke; Kathina Ali; Daniel B Fassnacht; Martina de Zwaan; Matthias Brand; Michael Häder; Michael Kyrios Journal: J Behav Addict Date: 2021-04-13 Impact factor: 6.756