TY - JOUR
T1 - Subtyping treatment-seeking gaming disorder patients
AU - Granero, Roser
AU - Fernández-Aranda, Fernando
AU - Castro-Calvo, Jesús
AU - Billieux, Joël
AU - Valero-Solís, Susana
AU - Mora-Maltas, Bernat
AU - Rivas-Pérez, Sandra
AU - Valenciano-Mendoza, Eduardo
AU - del Pino-Gutiérrez, Amparo
AU - Gómez-Peña, Mónica
AU - Moragas, Laura
AU - Baenas, Isabel
AU - Mena-Moreno, Teresa
AU - Casalé-Salayet, Gemma
AU - Codina, Ester
AU - González-Bueso, Vega
AU - Santamaría, Juan Jose
AU - Baño, Marta
AU - Menchón, José M.
AU - Jiménez-Murcia, Susana
N1 - Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Background and aims: Gaming Disorder (GD) is characterized by a pattern of persistent and uncontrolled gaming behavior that causes a marked impairment in important areas of functioning. The evolution of the worldwide incidence of this disorder warrants further studies focused on examining the existence of different subtypes within clinical samples, in order to tailor treatment. This study explored the existence of different profiles of patients seeking treatment for GD through a data-driven approach. Methods: The sample included n = 107 patients receiving treatment for GD (92% men and 8% women) ranging between 14 and 60 years old (mean age = 24.1, SD = 10). A two-step clustering analysis approach explored the existence of different underlying GD profiles based on a broad set of indicators, including sociodemographic features, clinical course of the condition (e.g., onset or evolution), psychopathological symptoms, and personality traits. Results: Two GD profiles emerged. The first cluster grouped together patients who presented with a lower psychological impact (n = 72, 66.1%), whereas the second cluster comprised patients with a higher psychological impact (n = 35, 32.7%). Cluster comparisons revealed that those patients presenting the higher impact were older, with a later onset of pathological gaming patterns, and more pronounced psychopathological symptoms and dysfunctional personality profiles. Conclusions: GD severity is influenced by specific demographic, clinical, and psychopathological factors. The identification of two separate profiles provides empirical evidence that contributes to the conceptualization of this disorder, as well as to the development of reliable and valid screening tools and effective intervention plans focused on the precise characteristics of the treatment-seeking patients.
AB - Background and aims: Gaming Disorder (GD) is characterized by a pattern of persistent and uncontrolled gaming behavior that causes a marked impairment in important areas of functioning. The evolution of the worldwide incidence of this disorder warrants further studies focused on examining the existence of different subtypes within clinical samples, in order to tailor treatment. This study explored the existence of different profiles of patients seeking treatment for GD through a data-driven approach. Methods: The sample included n = 107 patients receiving treatment for GD (92% men and 8% women) ranging between 14 and 60 years old (mean age = 24.1, SD = 10). A two-step clustering analysis approach explored the existence of different underlying GD profiles based on a broad set of indicators, including sociodemographic features, clinical course of the condition (e.g., onset or evolution), psychopathological symptoms, and personality traits. Results: Two GD profiles emerged. The first cluster grouped together patients who presented with a lower psychological impact (n = 72, 66.1%), whereas the second cluster comprised patients with a higher psychological impact (n = 35, 32.7%). Cluster comparisons revealed that those patients presenting the higher impact were older, with a later onset of pathological gaming patterns, and more pronounced psychopathological symptoms and dysfunctional personality profiles. Conclusions: GD severity is influenced by specific demographic, clinical, and psychopathological factors. The identification of two separate profiles provides empirical evidence that contributes to the conceptualization of this disorder, as well as to the development of reliable and valid screening tools and effective intervention plans focused on the precise characteristics of the treatment-seeking patients.
KW - Clustering
KW - Gaming Disorder
KW - Internet Gaming Disorder
KW - Personality
KW - Profiles
UR - https://www.scopus.com/pages/publications/85113412612
UR - https://www.mendeley.com/catalogue/aee40cbb-1626-3016-9c63-d4904f0dc686/
U2 - 10.1016/j.addbeh.2021.107086
DO - 10.1016/j.addbeh.2021.107086
M3 - Article
C2 - 34450349
AN - SCOPUS:85113412612
SN - 0306-4603
VL - 123
JO - Addictive Behaviors
JF - Addictive Behaviors
M1 - 107086
ER -