6533b872fe1ef96bd12d3848

RESEARCH PRODUCT

Subtyping treatment-seeking gaming disorder patients

Bernat Mora-maltasEduardo Valenciano-mendozaSusana Jiménez-murciaJesús Castro-calvoGemma Casalé-salayetJuan José SantamaríaVega González-buesoSusana Valero-solísJosé M. MenchónTeresa Mena-morenoSandra Rivas-pérezAmparo Del Pino-gutiérrezAmparo Del Pino-gutiérrezLaura MoragasFernando Fernández-arandaRoser GraneroRoser GraneroEster CodinaMarta BañoMónica Gómez-peñaIsabel BaenasJoël Billieux

subject

AdultMalePsychology PathologicalAdolescentmedia_common.quotation_subjectMedicine (miscellaneous)Dysfunctional familyToxicologyDisease clusterPersonality DisordersDSM-5Young AdultCluster AnalysisHumansPersonalityMedicineBig Five personality traitsPathologicalmedia_commonbusiness.industryIncidence (epidemiology)Joc compulsiuMiddle AgedPsicopatologiaBehavior AddictiveDisruptive Impulse Control and Conduct DisordersPsychiatry and Mental healthClinical PsychologyFemaleGaming Disorder; Personality; Internet Gaming Disorder; DSM-5; Diagnosis; Cluster Analysis; Clustering; ProfilesCompulsive gamblingbusinessPersonalityClinical psychologyPsychopathology

description

Abstract 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.

https://doi.org/10.1016/j.addbeh.2021.107086