0000000000668582

AUTHOR

Laura Moragas

showing 2 related works from this author

Video game addiction in gambling disorder: clinical, psychopathological, and personality correlates

2014

Objective. We studied the prevalences of video game use (VGU) and addiction (VGA) in gambling disorder (GD) patients and compared them with subjects with non-video game use (non-VGU) in relation to their gambling behavior, psychopathology, and personality characteristics.Method. A sample of 193 GD patients (121 non-VGU, 43 VGU, and 29 VGA) consecutively admitted to our pathological gambling unit participated in the study.Assessment. Measures included the video game dependency test (VDT), symptom checklist-90-revised, and the temperament and character inventory-revised, as well as a number of other GD indices.Results. In GD, the observed prevalence of VG (use or addiction) was 37.3% (95% CI:…

AdultMalemedicine.medical_specialtyArticle SubjectInternet addictionmedia_common.quotation_subjectVideojocslcsh:MedicineLogistic regressionGeneral Biochemistry Genetics and Molecular BiologyVideo gamesSurveys and QuestionnairesmedicineAddictesPersonalityHumansBig Five personality traitsPsychiatryVideo gamemedia_commonGeneral Immunology and MicrobiologyAddictionlcsh:RComputer gamesBehavior disordersGeneral MedicineMiddle AgedAddictsBehavior AddictiveCompulsive behaviorVideo GamesVideo game addictionGamblingTemperamentFemaleAddicció a InternetPsychologyConducta compulsivaTrastorns de la conductaPsychopathologyResearch ArticleJocs per ordinador
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Subtyping treatment-seeking gaming disorder patients

2021

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 anal…

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 psychologyPsychopathologyAddictive Behaviors
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