
Since March 2008 we have offered outpatient treatment for computer game and internet addiction. This article presents the assessment and clinical characterization of the first cohort of one year.The reasons for seeking help (phone consultations, N=346) as well as sociodemographic and psychometric characteristics (N=131) (assessment of computer game addiction; SCL-90R) are presented.Consultation was initiated mainly by relatives--mostly the mothers (86%); 48% report achievement failure and social isolation, lack of control (38%) and conflicts within the family (33%). Two-thirds of the mainly male (96%) patients (N=131) with an average age of 22 (range 13-47) years met the criteria for pathological computer gaming, characterized by an excessive number of hours and preoccupation with gaming, high distress, and unemployment.Symptoms resemble those of other addiction disorders. The consequences for disorder-specific treatment concepts and research are discussed.
Adult, Male, Internet, Outpatient Clinics, Hospital, Adolescent, Personality Inventory, Psychometrics, Middle Aged, Patient Acceptance of Health Care, Behavior, Addictive, Cohort Studies, Hospitalization, Hospitals, University, Young Adult, Video Games, Unemployment, Germany, Humans, Female, Referral and Consultation
Adult, Male, Internet, Outpatient Clinics, Hospital, Adolescent, Personality Inventory, Psychometrics, Middle Aged, Patient Acceptance of Health Care, Behavior, Addictive, Cohort Studies, Hospitalization, Hospitals, University, Young Adult, Video Games, Unemployment, Germany, Humans, Female, Referral and Consultation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 55 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
