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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 epidemiological study of 5,511 Korean adults found that non-suicidal self-injury (NSSI) was the strongest predictor of addictive disorders (alcohol, tobacco, internet gaming), with over 9-fold increased risk. Interestingly, while regular walking was protective, moderate-to-high exercise was associated with increased addiction risk, suggesting complex relationships between behavioral patterns and addictive disorders.
This review examines the growing problem of excessive screen use and behavioral addiction, noting increased prevalence since the COVID-19 pandemic and difficulty for individuals to disengage from social media and gaming. Evidence-based treatment employs a biopsychosocial approach including therapy, medication, mindfulness, and support groups, with future research needed to strengthen diagnostic criteria and treatment outcomes.