Nuria Mallorquí-Bagué1, Gemma Mestre-Bach2, María Lozano-Madrid2, Fernando Fernandez-Aranda3, Roser Granero4, Cristina Vintró Alcaraz5, Amparo Del Pino-Gutiérrez6, Trevor Steward2, Mónica Gómez-Peña7, Neus Aymamí7, Teresa Mena-Moreno2, José M Menchón8, Susana Jiménez-Murcia9. 1. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Spain. Electronic address: nmallorqui@live.com. 2. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Spain. 3. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain. 4. Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Spain; Departament de Psicobiologia i Metodologia, Universitat Autònoma de Barcelona, Spain. 5. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Spain. Electronic address: cvintro@bellvitgehospital.cat. 6. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Departament de Psicobiologia i Metodologia, Universitat Autònoma de Barcelona, Spain. 7. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain. 8. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain; Ciber Salud Mental (CIBERsam), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. 9. Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Ciber Fisiopatologia Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain. Electronic address: sjimenez@bellvitgehospital.cat.
Abstract
BACKGROUND AND AIMS: Gambling disorder (GD) is a highly heterogeneous condition with high rates of chronicity, relapses and treatment dropout. The aim of this study was to longitudinally explore the associations between trait impulsivity, impulsivity-compulsivity related cognitive domains, and treatment outcome in an outpatient sample of adult patients with GD. METHODS: 144 adult male participants diagnosed with GD undergoing cognitive-behavioural treatment (CBT) at a specialized outpatient service completed a series of neuropsychological tests to assess executive functioning (including cognitive flexibility, inhibition control and decision making) and psychometric questionnaires. RESULTS: Trait impulsivity predicted low compliance [UPPS-P negative urgency (B = 0.113; p = 0.019)] and relapse [UPPS-P negative urgency (B = 0.140; p = 0.015)] at 5 weeks of treatment and dropout at the end of treatment [(UPPS-P sensation seeking B = 0.056; p = 0.045)]. Cognitive flexibility performance predicted: dropout rates at the end of treatment [WCST perseverative errors (B = 0.043; p = 0.042)]; dropout [WCST categories completed (B = -1.827; p = 0.020)] and low compliance or relapses at follow-up [WCST perseverative errors (B = 0.128; p = 0.020)]; and time to first relapse [WCST failure to maintain set (B = -0.374; p = 0.048)] and time to dropout [WCST perseverative errors (B = 0.0198; p = 0.019)]. CONCLUSIONS: Our findings indicate impulsivity-compulsivity levels may influence response to GD treatment (i.e.: low compliance and dropout or relapse rates) thus representing a potential target for improving treatment outcomes.
BACKGROUND AND AIMS: Gambling disorder (GD) is a highly heterogeneous condition with high rates of chronicity, relapses and treatment dropout. The aim of this study was to longitudinally explore the associations between trait impulsivity, impulsivity-compulsivity related cognitive domains, and treatment outcome in an outpatient sample of adult patients with GD. METHODS: 144 adult male participants diagnosed with GD undergoing cognitive-behavioural treatment (CBT) at a specialized outpatient service completed a series of neuropsychological tests to assess executive functioning (including cognitive flexibility, inhibition control and decision making) and psychometric questionnaires. RESULTS: Trait impulsivity predicted low compliance [UPPS-P negative urgency (B = 0.113; p = 0.019)] and relapse [UPPS-P negative urgency (B = 0.140; p = 0.015)] at 5 weeks of treatment and dropout at the end of treatment [(UPPS-P sensation seeking B = 0.056; p = 0.045)]. Cognitive flexibility performance predicted: dropout rates at the end of treatment [WCST perseverative errors (B = 0.043; p = 0.042)]; dropout [WCST categories completed (B = -1.827; p = 0.020)] and low compliance or relapses at follow-up [WCST perseverative errors (B = 0.128; p = 0.020)]; and time to first relapse [WCST failure to maintain set (B = -0.374; p = 0.048)] and time to dropout [WCST perseverative errors (B = 0.0198; p = 0.019)]. CONCLUSIONS: Our findings indicate impulsivity-compulsivity levels may influence response to GD treatment (i.e.: low compliance and dropout or relapse rates) thus representing a potential target for improving treatment outcomes.
Authors: Roxanne W Hook; Jon E Grant; Konstantinos Ioannidis; Jeggan Tiego; Murat Yücel; Paul Wilkinson; Samuel R Chamberlain Journal: Neurosci Biobehav Rev Date: 2020-10-25 Impact factor: 8.989
Authors: Isabel Baenas; Mikel Etxandi; Ester Codina; Roser Granero; Fernando Fernández-Aranda; Mónica Gómez-Peña; Laura Moragas; Sandra Rivas; Marc N Potenza; Anders Håkansson; Amparo Del Pino-Gutiérrez; Bernat Mora-Maltas; Eduardo Valenciano-Mendoza; José M Menchón; Susana Jiménez-Murcia Journal: Front Psychol Date: 2021-12-14