Gambling Phenotypes in Online Sports Betting.

clustering gambling disorder internet online sports betting phenotype

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2020
Historique:
received: 24 02 2020
accepted: 12 05 2020
entrez: 18 6 2020
pubmed: 18 6 2020
medline: 18 6 2020
Statut: epublish

Résumé

The Internet provides easy access to multiple types of gambling and has led to changes in betting habits. A severe rise in problematic gambling has been predicted among all sectors of the population, and studies are required to assess the emerging phenotypes related to the new structures of gambling activities. This study aimed to explore the existence of latent classes associated with gambling habits among treatment-seeking gamblers due to Online Sports Betting (OSB). Initial sample included The prevalence of OSB as a main type of gambling problem in the study was 7.2% (95% confidence interval: 6.4 to 7.9%). Two latent clusters were identified, with differences in sociodemographics and clinical status. Cluster 1 ( The increasing understanding of latent classes underlying OSB phenotypes is essential in guiding the development of reliable screening tools to identify individuals highly vulnerable to addictive behaviors among Internet gamblers, as well as in planning prevention and treatment initiatives focused on the precise profiles of these patients.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
The Internet provides easy access to multiple types of gambling and has led to changes in betting habits. A severe rise in problematic gambling has been predicted among all sectors of the population, and studies are required to assess the emerging phenotypes related to the new structures of gambling activities. This study aimed to explore the existence of latent classes associated with gambling habits among treatment-seeking gamblers due to Online Sports Betting (OSB).
METHOD METHODS
Initial sample included
RESULTS RESULTS
The prevalence of OSB as a main type of gambling problem in the study was 7.2% (95% confidence interval: 6.4 to 7.9%). Two latent clusters were identified, with differences in sociodemographics and clinical status. Cluster 1 (
CONCLUSION CONCLUSIONS
The increasing understanding of latent classes underlying OSB phenotypes is essential in guiding the development of reliable screening tools to identify individuals highly vulnerable to addictive behaviors among Internet gamblers, as well as in planning prevention and treatment initiatives focused on the precise profiles of these patients.

Identifiants

pubmed: 32547432
doi: 10.3389/fpsyt.2020.00482
pmc: PMC7270333
doi:

Types de publication

Journal Article

Langues

eng

Pagination

482

Informations de copyright

Copyright © 2020 Granero, Jiménez-Murcia, del Pino-Gutiérrez, Mora, Mendoza-Valenciano, Baenas-Soto, Gómez-Peña, Moragas, Codina, López-González, Mena-Moreno, Mestre-Bach, Valero-Solís, Rivas, Agüera, Vintró-Alcaraz, Lozano-Madrid, Menchón and Fernández-Aranda.

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Auteurs

Roser Granero (R)

Department of Psychobiology and Methodology, Universitat Autònoma de Barcelona-UAB, Barcelona, Spain.
Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain.

Susana 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, Barcelona, Spain.
Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
Department of Clinical Sciences, School of Medicine, Universitat de Barcelona-UB, L'Hospitalet de Llobregat, Barcelona, Spain.

Amparo Del Pino-Gutiérrez (A)

Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.
Department of Public Health, Mental Health and Perinatal Nursing, School of Nursing, Universitat de Barcelona-UB, Barcelona, Spain.

Bernat Mora (B)

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

Eduardo Mendoza-Valenciano (E)

Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.
Ciber Salut Mental (CIBERsam), Instituto Salud Carlos III, Madrid, Spain.

Isabel Baenas-Soto (I)

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

Mónica Gómez-Peña (M)

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

Laura Moragas (L)

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

Ester Codina (E)

Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.
Department of Public Health, Mental Health and Perinatal Nursing, School of Nursing, Universitat de Barcelona-UB, Barcelona, Spain.

Hibai López-González (H)

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

Teresa 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, Barcelona, Spain.

Gemma 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, Barcelona, Spain.

Susana Valero-Solís (S)

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

Sandra Rivas (S)

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

Zaida Agüera (Z)

Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain.
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.

Cristina Vintró-Alcaraz (C)

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

María Lozano-Madrid (M)

Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain.
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.

José M Menchón (JM)

Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain.
Ciber Salut Mental (CIBERsam), Instituto Salud Carlos III, Madrid, Spain.

Fernando 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, Barcelona, Spain.
Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
Department of Clinical Sciences, School of Medicine, Universitat de Barcelona-UB, L'Hospitalet de Llobregat, Barcelona, Spain.

Classifications MeSH