Moderator effect of sex in the clustering of treatment-seeking patients with gambling problems.


Por: Jiménez-Murcia S, Granero R, Giménez M, Del Pino-Gutiérrez A, Mestre-Bach G, Mena-Moreno T, Moragas L, Baño M, Sánchez-González J, de Gracia M, Baenas-Soto I, Fabrizio S, Valenciano-Mendoza E, Mora-Maltas B, López-González H, Menchón JM and Fernández-Aranda F

Publicada: 1 sep 2020 Ahead of Print: 3 mar 2020
Resumen:
BACKGROUND: There are no studies based on a person-centered approach addressing sex-related differences in the characteristics of treatment-seeking patients with gambling disorder (GD). The main objective of the current study is to identify empirical clusters of GD based on several measures of the severity of gambling behavior, and considering the potential role of patient sex as a moderator. METHODS: An agglomerative hierarchical clustering method was applied to an adult sample of 512 treatment-seeking patients (473 men and 39 women) by using a combination of the Schwarz Bayesian Information Criterion and log-likelihood function. RESULTS: Three clusters were identified in the subsample of men: cluster M1 (low-mild gambling severity level, 9.1%), cluster M2 (moderate level, 60.9%), and cluster M3 (severe level, 30.0%). In the women subsample, two clusters emerged: cluster W1 (mild-moderate level, 64.1%), and cluster W2 (severe level, 35.9%). The most severe GD profiles were related to being single, multiple gambling preference for nonstrategic plus strategic games, early onset of the gambling activity, higher impulsivity levels, higher dysfunctional scores in the personality traits of harm avoidance, and self-directedness, and higher number of lifespan stressful life events (SLE). Differences between the empirical men and women clusters were found in different sociodemographic and clinical measurements. CONCLUSIONS: Men and women have distinct profiles regarding gambling severity that can be identified by a clustering approach. The sociodemographic and clinical characterization of each cluster by sex may help to establish specific preventive and treatment interventions.

Filiaciones:
Jiménez-Murcia S:
 Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain.

 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.

 Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Spain.

 Department of Clinical Sciences, School of Medicine, Universitat de Barcelona-UB, L'Hospitalet de Llobregat, Spain.

Granero R:
 Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain

 Department of Psychobiology and Methodology, Autonomous University of Barcelona, Barcelona, Spain

Giménez M:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

 CIBER Salud Mental (CIBERSam), Instituto de Salud Carlos III, Madrid, Spain

Del Pino-Gutiérrez A:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

 Department of Public Health, Mental Health and Perinatal Nursing, School of Nursing, University of Barcelona-UB, Barcelona, Spain

Mestre-Bach G:
 Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain

 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Mena-Moreno T:
 Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain

 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Moragas L:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Baño M:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Sánchez-González J:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

de Gracia M:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Baenas-Soto I:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Fabrizio S:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Valenciano-Mendoza E:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

 CIBER Salud Mental (CIBERSam), Instituto de Salud Carlos III, Madrid, Spain

Mora-Maltas B:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

López-González H:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

Menchón JM:
 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

 Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Spain

 CIBER Salud Mental (CIBERSam), Instituto de Salud Carlos III, Madrid, Spain

Fernández-Aranda F:
 Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain

 Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain

 Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Spain

 Department of Clinical Sciences, School of Medicine, Universitat de Barcelona-UB, L'Hospitalet de Llobregat, Spain
ISSN: 09486259





NEUROPSYCHIATRIE
Editorial
SPRINGER WIEN, Prinz-Eugen-Strasse 8-10, A-1040 Vienna, AUSTRIA, Austria
Tipo de documento: Article
Volumen: 34 Número: 3
Páginas: 116-129
WOS Id: 000518065800001
ID de PubMed: 32125659
imagen Open Access

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