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This study examined whether a two-factor impulsivity model predicts Gaming Disorder and Internet Gaming Disorder using survey data from 372 gaming forum participants. Results identified a five-factor impulsivity structure, with only Urgency and Inhibitory Control predicting clinically significant gaming disorder symptoms, suggesting similar pathways to substance and gambling disorders.
An editorial discussing how individuals vary in their susceptibility to and expression of addictive behaviors. Examines biological, psychological, and environmental factors that contribute to heterogeneity in addiction development and progression.
Internet gaming disorder is recognized as a behavioral addiction with significant clinical and public health implications. The article examines evidence-based treatment approaches and the specific challenges clinicians face in managing this condition across diverse patient populations.
This study employed machine learning algorithms on EEG data and neuropsychological assessments to distinguish internet gaming disorder from alcohol use disorder and healthy controls. The multimodal approach combining brain activity patterns with psychological measures achieved 71.2% accuracy, identifying differential neural connectivity patterns between the disorder groups.
This study examined whether social media addiction components can be classified into 'core' criteria (mood modification, relapse, withdrawal, conflict) and 'peripheral' criteria (salience, tolerance) using two established addiction scales in 2,761 adolescents. A two-factor model better explained the data than a single-factor model, with core criteria showing stronger associations with depression, anxiety, and loneliness.