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[A prediction model for internet game addiction in adolescents: using a decision tree analysis]
1College of Nursing, Ajou University, Suwon, Korea.
Journal of Korean Academy of Nursing
|July 17, 2010
Summary
This study developed a prediction model to prevent and manage adolescent internet game addiction. Key factors include gaming habits, socioeconomic status, and parental involvement, guiding targeted interventions.
Area of Science:
- Adolescent psychology
- Behavioral addiction research
- Public health interventions
Context:
- Internet game addiction is a growing concern among adolescents.
- Existing prevention and management strategies require refinement.
- A predictive model can offer targeted support.
Purpose:
- To develop a theoretical framework for preventing and managing adolescent internet game addiction.
- To build a predictive model by analyzing various contributing factors.
- To provide practical guidance for intervention.
Summary:
- A predictive model for adolescent internet game addiction was developed using Decision Tree Analysis.
- 1,318 Korean students (elementary to high school) participated.
- Identified factors include gender, socioeconomic status, parental factors, and gaming behaviors.
Impact:
- The model identifies specific pathways for targeted interventions.
- It can enhance the role of school nurses in counseling and program development.
- Facilitates individualized adolescent support through data-driven approaches.
