R Granero1, F Fernández-Aranda2, G Mestre-Bach3, T Steward4, M Baño4, Z Agüera4, N Mallorquí-Bagué4, N Aymamí3, M Gómez-Peña3, M Sancho3, I Sánchez3, J M Menchón5, V Martín-Romera6, S Jiménez-Murcia7. 1. Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Universitat Autònoma de Barcelona, Departament de Psicobiologia i Metodologia de les Ciències de la Salut, C/Fortuna Edificio B, Bellaterra, Cerdanyola del Vallès, 08193 Barcelona, Spain. 2. Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Campus de Bellvitge Pavelló de Govern, University of Barcelona, Faculty of Medicine, Department of Clinical Sciences, Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain. 3. Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain. 4. Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain. 5. Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Campus de Bellvitge Pavelló de Govern, University of Barcelona, Faculty of Medicine, Department of Clinical Sciences, Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Instituto de Salud Carlos III, Ciber de Salud Mental (CIBERSAM), C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain. 6. Universitat Autònoma de Barcelona, Departament de Psicologia Clinica, C/Fortuna Edificio B, Bellaterra, Cerdanyola del Vallès, 08193 Barcelona, Spain. 7. Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Campus de Bellvitge Pavelló de Govern, University of Barcelona, Faculty of Medicine, Department of Clinical Sciences, Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain. Electronic address: sjimenez@bellvitgehospital.cat.
Abstract
BACKGROUND: Compulsive buying behavior (CBB) is receiving increasing consideration in both consumer and psychiatric-epidemiological research, yet empirical evidence on treatment interventions is scarce and mostly from small homogeneous clinical samples. OBJECTIVES: To estimate the short-term effectiveness of a standardized, individual cognitive behavioral therapy intervention (CBT) in a sample of n=97 treatment-seeking patients diagnosed with CBB, and to identify the most relevant predictors of therapy outcome. METHOD: The intervention consisted of 12 individual CBT weekly sessions, lasting approximately 45minutes each. Data on patients' personality traits, psychopathology, sociodemographic factors, and compulsive buying behavior were used in our analysis. RESULTS: The risk (cumulative incidence) of poor adherence to the CBT program was 27.8%. The presence of relapses during the CBT program was 47.4% and the dropout rate was 46.4%. Significant predictors of poor therapy adherence were being male, high levels of depression and obsessive-compulsive symptoms, low anxiety levels, high persistence, high harm avoidance and low self-transcendence. CONCLUSION: Cognitive behavioral models show promise in treating CBB, however future interventions for CBB should be designed via a multidimensional approach in which patients' sex, comorbid symptom levels and the personality-trait profiles play a central role.
BACKGROUND: Compulsive buying behavior (CBB) is receiving increasing consideration in both consumer and psychiatric-epidemiological research, yet empirical evidence on treatment interventions is scarce and mostly from small homogeneous clinical samples. OBJECTIVES: To estimate the short-term effectiveness of a standardized, individual cognitive behavioral therapy intervention (CBT) in a sample of n=97 treatment-seeking patients diagnosed with CBB, and to identify the most relevant predictors of therapy outcome. METHOD: The intervention consisted of 12 individual CBT weekly sessions, lasting approximately 45minutes each. Data on patients' personality traits, psychopathology, sociodemographic factors, and compulsive buying behavior were used in our analysis. RESULTS: The risk (cumulative incidence) of poor adherence to the CBT program was 27.8%. The presence of relapses during the CBT program was 47.4% and the dropout rate was 46.4%. Significant predictors of poor therapy adherence were being male, high levels of depression and obsessive-compulsive symptoms, low anxiety levels, high persistence, high harm avoidance and low self-transcendence. CONCLUSION: Cognitive behavioral models show promise in treating CBB, however future interventions for CBB should be designed via a multidimensional approach in which patients' sex, comorbid symptom levels and the personality-trait profiles play a central role.
Authors: Gemma Mestre-Bach; Roser Granero; Gemma Casalé-Salayet; Fernando Fernández-Aranda; Astrid Müller; Matthias Brand; Mónica Gómez-Peña; Laura Moragas; Isabel Sánchez; Lucía Camacho-Barcia; Alejandro Villena; Milagros L Lara-Huallipe; Susana Jiménez-Murcia Journal: Int J Environ Res Public Health Date: 2022-06-09 Impact factor: 4.614
Authors: Amparo Del Pino-Gutiérrez; Susana Jiménez-Murcia; Fernando Fernández-Aranda; Zaida Agüera; Roser Granero; Anders Hakansson; Ana B Fagundo; Ferran Bolao; Ana Valdepérez; Gemma Mestre-Bach; Trevor Steward; Eva Penelo; Laura Moragas; Neus Aymamí; Mónica Gómez-Peña; Assumpta Rigol-Cuadras; Virginia Martín-Romera; José M Menchón Journal: J Behav Addict Date: 2017-08-25 Impact factor: 6.756
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: Astrid Müller; Ekaterini Georgiadou; Annika Birlin; Nora M Laskowski; Susana Jiménez-Murcia; Fernando Fernández-Aranda; Thomas Hillemacher; Martina de Zwaan; Matthias Brand; Sabine Steins-Loeber Journal: Int J Environ Res Public Health Date: 2022-04-05 Impact factor: 3.390
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