Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective.

The increasing presence of gaming disorder in recent years has led to major efforts to identify the specific predictors that have a high impact on the profile of people seeking treatment for this mental condition. The purpose of this study was to explore the network structure of the correlates of gaming disorder considering sociodemographic features and other clinical symptoms. Network analysis was applied to a sample of patients who met clinical criteria for gaming disorder (n = 117, of ages ranging from 15 to 70 yrs-old). Variables considered in the network included sex, age, socioeconomic position, global emotional distress, age of onset and duration of the gaming disorder, personality traits and the presence of other addictive behaviors (tobacco, alcohol and behavioral addictions). The central nodes in the network were global psychological distress, chronological age, and age of onset of gaming related problems. Linkage analysis also identified psychopathological status and age as the variables with the most valuable information in the model. The poorest relevance in the analysis was for the duration of gaming problems and socioeconomic levels. Modularity analysis grouped the nodes within four clusters. Identification of the variables with the highest centrality/linkage can be particularly useful for developing precise management plans to prevent and treat gaming disorder related problems.

Factors related to the dual condition of gambling and gaming disorders: A path analysis model.

BACKGROUND AND AIMS: Gaming disorder has experienced rapid growth in the last decade among youth and adult populations, in parallel to the expansion of the videogame industry. The objective of this study was to explore the underlying process to explain the dual diagnosis of gaming with gambling disorder. METHODS: The sample included n = 117 patients who met clinical criteria for gaming disorder, recruited from a tertiary care unit specialized in the treatment of behavioral addictions. Path analysis (implemented through structural equation modeling) assessed the direct and mediational mechanisms between the dual condition of gaming + gambling disorder and sociodemographic variables and personality traits. RESULTS: The comorbid gaming + gambling disorder was met for 14.5% of the participants (additionally, 6.0% of the sample also met criteria for problematic gambling). The dual diagnosis was directly related to an older age at onset of the addiction problems, a higher level of the novelty seeking trait and being in active work. Employment status also mediated the relationship between persistence levels and chronological age. Greater psychopathological distress was related to females, higher levels of harm avoidance and persistence and lower levels of self-directedness. CONCLUSIONS: The results of this study provide empirical evidence for the specific factors that increase the likelihood of the dual gaming + gambling disorder. Clinical settings should consider these features to improve gaming diagnosis and treatment. Preventive programs should also be focused on the most vulnerable groups to prevent onset and progression of this comorbid condition.