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Vintró-Alcaraz C, Mestre-Bach G, Granero R, Gómez-Peña M, Moragas L, Fernández-Aranda F, Potenza MN, Jiménez-Murcia S. Do attention-deficit/hyperactivity symptoms influence treatment outcome in gambling disorder? Compr Psychiatry 2024; 128:152433. [PMID: 37924691 DOI: 10.1016/j.comppsych.2023.152433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/29/2023] [Accepted: 10/16/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND AND AIMS Numerous studies point to the comorbidity between gambling disorder (GD) and attention deficit hyperactivity disorder (ADHD). However, there is a lack of research exploring how ADHD symptoms might influence psychological treatment outcomes for GD. Therefore, we aimed to explore differences between patients with GD with and without self-reported ADHD symptoms regarding psychopathology, personality, sociodemographic and treatment outcome measures. METHOD This longitudinal study included 170 patients with GD receiving cognitive behavioral therapy. Multiple self-reported instruments were used to assess clinical variables and sociodemographic measures prior to treatment. RESULTS A clinical profile characterized by greater GD severity, higher psychopathology and impulsivity, and less adaptive personality features was observed in patients with self-reported ADHD symptoms compared to those without. No significant differences in treatment response (measured by dropout and relapse rates) were observed between the two groups. However, patients with self-reported ADHD symptoms experienced more severe relapses (i.e., gambled more money) and GD patients who relapsed scored higher on measures of ADHD, particularly inattention. CONCLUSION Individuals with GD and self-reported symptoms of ADHD may experience more severe relapses following treatment, suggesting a need for more vigilant follow-up and interventions for patients with this comorbidity.
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Affiliation(s)
- Cristina Vintró-Alcaraz
- Department of Clinical Psychology, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
| | - Gemma Mestre-Bach
- Instituto de Transferencia e Investigación, Universidad Internacional de La Rioja, La Rioja, Spain.
| | - Roser Granero
- Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Mónica Gómez-Peña
- Department of Clinical Psychology, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain.
| | - Laura Moragas
- Department of Clinical Psychology, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain.
| | - Fernando Fernández-Aranda
- Department of Clinical Psychology, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
| | - Marc N Potenza
- Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA; Yale University School of Medicine, Department of Neuroscience, New Haven, CT, USA; Yale University School of Medicine, Yale Child Study Center, New Haven, CT, USA; Yale University School of Medicine, The National Center on Addiction and Substance Abuse, New Haven, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA.
| | - Susana Jiménez-Murcia
- Department of Clinical Psychology, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
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Abed M, Mansureh HH, Masoud GAL, Elaheh H, Mohammad-Hossein NHK, Yamin BD, Abdol-Hossein V. Construction of Meta-Thinking Educational Program Based on Mental-Brain Simulation ( MTMBS) and Evaluating its Effectiveness on Executive Functions, Emotion Regulation, and Impulsivity in Children With ADHD: A Resting-State Functional MRI Study. J Atten Disord 2023; 27:1223-1251. [PMID: 36843348 DOI: 10.1177/10870547231155436] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
OBJECTIVE The aim of present research was to make a Meta-Thinking educational program based on mental-brain simulation and to evaluate its effectiveness on executive functions, emotion regulation and impulsivity in children with ADHD. METHODS The research method was Embedded Design: Embedded Experimental Model. The research sample included 32 children with ADHD who were randomly assigned to two experimental and control groups. The intervention was implemented for eight sessions of 1.5 hr for the experimental group, and fMRI images were taken from them, while the control group didn't receive any treatment. Finally, using semi-structured interviews, coherent information was collected from the parents of the experimental group about the changes made. Data were analyzed with SPSS-24, MAXQDA, fMRIprep, and FSL software. RESULTS The Meta-Thinking Educational Program had effect on performance of ADHD children and suppressed brain regions related to DMN. CONCLUSION The Implementation of this educational program plays a vital role in improving psychological problems of children with ADHD.
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Herrera-Gutiérrez E, Gómez-Amor J, López-Ortuño J, Navarro-Noguera M, Villanueva-Blasco VJ. Cognitive and personality differences between adolescents with and without attention deficit/hyperactivity disorder. Acta Psychol (Amst) 2021; 219:103386. [PMID: 34365275 DOI: 10.1016/j.actpsy.2021.103386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 07/30/2021] [Accepted: 08/02/2021] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The relationships between cognitive and personality profile in teenagers with and without ADHD were assessed. METHOD Two groups of teenagers, one with ADHD (N = 135; mean age = 13.93) and another group without ADHD (N = 199, mean age = 14.29) were evaluated using the K-BIT and 16PF-APQ tests. RESULTS In cognitive variables, the results revealed that the ADHD group returned higher scores in the Matrices subtest and the IQ test. In personality variables, the group with ADHD exhibited higher scores in Tough-Mindedness and lower scores in Self-Control than the group without the disorder. The canonical correlation analysis applied to each group revealed a differing pattern of interrelationships between the cognitive-personality variables in the two groups. In adolescents with ADHD, we observed that higher scores in cognitive variables were associated with a more extroverted personality and less self-control, while in adolescents without ADHD, higher scores in cognitive variables were associated with less tough-mindedness and lower levels of self-control. CONCLUSIONS The cognitive and personality variables of adolescents with and without ADHD differ. These results will be useful for establishing a cognitive and personality profile for this section of the population. The educational implications of the study are under discussion.
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