Risk factor analysis and predictive model development for problematic internet gaming disorder occurrence

Area of Science:

• Psychology
• Public Health
• Behavioral Science

Background:

• Problematic internet gaming disorder (PIGD) is a growing concern with multifaceted origins.
• Understanding the diverse risk factors is crucial for developing effective interventions.

Purpose of the Study:

• To identify sociodemographic, psychological, personality, and parenting factors associated with PIGD in Yogyakarta, Indonesia.
• To develop and validate a predictive model for identifying individuals at high risk of PIGD.

Main Methods:

• A cross-sectional study involving 350 participants aged 15-25 years in Yogyakarta.
• Data collected via questionnaires including the Internet Gaming Disorder Scale-Short Form (IGDS9-SF), DASS-21, Big Five Inventory (BFI), and Parenting Style Questionnaire.
• Multiple logistic regression analysis used to identify risk factors and build a prediction model.

Main Results:

• Male gender, student status, depression, anxiety, stress, high neuroticism, low conscientiousness, and authoritarian parenting were significant predictors of PIGD.
• The developed risk prediction model demonstrated strong predictive performance with an AUC of 0.85 (95% CI 0.80-0.90).

Conclusions:

• PIGD is influenced by a complex interplay of various risk factors.
• The validated risk prediction model effectively identifies individuals susceptible to PIGD.
• Early identification enables targeted preventative and treatment strategies for PIGD.