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Cognitive behavioral therapy for compulsive buying behavior: Predictors of treatment outcome

Published online by Cambridge University Press:  23 March 2020

R. Granero ,
F. Fernández-Aranda ,
G. Mestre-Bach ,
T. Steward ,
M. Baño ,
Z. Agüera ,
N. Mallorquí-Bagué ,
N. Aymamí ,
M. Gómez-Peña  and
M. Sancho
...Show all authors
R. Granero
Affiliation:
Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain Universitat Autònoma de Barcelona, Departament de Psicobiologia i Metodologia de les Ciències de la Salut, C/Fortuna Edificio B, Bellaterra, Cerdanyola del Vallès, 08193Barcelona, Spain
F. Fernández-Aranda
Affiliation:
Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain Campus de Bellvitge Pavelló de Govern, University of Barcelona, Faculty of Medicine, Department of Clinical Sciences, Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
G. Mestre-Bach
Affiliation:
Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
T. Steward
Affiliation:
Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
M. Baño
Affiliation:
Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
Z. Agüera
Affiliation:
Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
N. Mallorquí-Bagué
Affiliation:
Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
N. Aymamí
Affiliation:
Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
M. Gómez-Peña
Affiliation:
Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
M. Sancho
Affiliation:
Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
I. Sánchez
Affiliation:
Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
J.M. Menchón
Affiliation:
Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain Campus de Bellvitge Pavelló de Govern, University of Barcelona, Faculty of Medicine, Department of Clinical Sciences, Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain Instituto de Salud Carlos III, Ciber de Salud Mental (CIBERSAM), C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain
V. Martín-Romera
Affiliation:
Universitat Autònoma de Barcelona, Departament de Psicologia Clinica, C/Fortuna Edificio B, Bellaterra, Cerdanyola del Vallès, 08193Barcelona, Spain
S. Jiménez-Murcia*
Affiliation:
Instituto de Salud Carlos III, Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029Madrid, Spain Bellvitge University Hospital-IDIBELL, Department of Psychiatry, Pathological Gambling Unit, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain Campus de Bellvitge Pavelló de Govern, University of Barcelona, Faculty of Medicine, Department of Clinical Sciences, Feixa Llarga s/n, Hospitalet de Llobregat, 08907Barcelona, Spain
*
*Corresponding author. Bellvitge University Hospital-IDIBELL and CIBERObn, Department of Psychiatry, c/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain. Tel.: +34 93 260 79 88; fax: +34 93 260 76 58. E-mail address:[email protected] (S. Jiménez-Murcia).
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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 45 minutes 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.

Keywords

AddictionCognitive behavior therapy (CBT)Compulsive buyingDropoutPersonalityRelapse
Type
Original article
Information
European Psychiatry , Volume 39 , January 2017 , pp. 57 - 65
Copyright
Copyright © Elsevier Masson SAS 2017

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