ArticleJournal of gambling studies2022
Profile of Treatment-Seeking Gaming Disorder Patients: A Network Perspective.
Article in Journal of gambling studies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Substance use amongst individuals with internet gaming disorder and gaming disorder: A scoping review.Journal of behavioral addictions · 2026Article
- Food addiction in behavioral addictions: a network approach.Frontiers in psychology · 2026Article
- Validation of the Problematic Pornography Consumption Scale: Short Form (PPCS-6) in a Spanish Clinical Population with Gambling Disorder.Archives of sexual behavior · 2025Article
- Features related to the presence of internet gaming disorder and their impact on the treatment outcomes.Journal of behavioral addictions · 2025Article
- Who seeks treatment for gaming? Characteristics of young and adult patients seeking treatment for gaming disorder.Frontiers in psychiatry · 2025Article
- The Predictive Role of Tolerance and Health Problems in Problem Gambling: A Cross-Sectional and Cross-Lagged Network Analyses.Journal of gambling studies · 2023Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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