Work

Risk Factor Analysis and Predictive Model Development for Problematic Internet Gaming Disorder Occurrence

Year: 2024

Type: article

Abstract: AIM: To examine several aspects, such as sociodemographic, psychological, personality, and parenting characteristics, that may contribute to the occurrence of problematic internet gaming disorder (PIGD) in Yogyakarta, Indonesia. Additionally, the study intends to create a model that can accurately predict people who are at high risk of developing PIGD. METHODS: A cross-sectional study was conducted on 350 participants aged 15-25 years in Yogyakarta. The data were gathered through the use of a questionnaire that consisted of demographic measures: the Internet Gaming Disorder Scale-Short Form (IGDS9-SF), the Depression Anxiety Stress Scale (DASS-21), the Big Five Inventory (BFI), and the Parenting Style Questionnaire. Multiple logistic regression was utilized for data analysis in order to identify relevant risk factors and construct a risk prediction model. RESULTS: The study revealed that certain sociodemographic characteristics (male and student), psychological factors (depression, anxiety, and stress), personality traits (high neuroticism, low conscientiousness), and authoritarian parenting style were all significant predictors of the occurrence of PIGD. These characteristics led to the creation of the risk prediction model, which demonstrated strong performance with an area under the curve (AUC) of 0.85 (95% CI 0.80-0.90). CONCLUSION: Multifaceted issue and variety of risk factors influence PIGD. This study's risk prediction model can effectively identify individuals at a heightened risk of developing PIGD. This allows for early and targeted preventative and treatment interventions to be implemented.

Source: Medicinski Glasnik

DOI: 10.17392/1844-22-01

Authors: Andrian Fajar Kusumadewi, Raihan Hananto, Arrum Putri Amalia, Muhammad Dicky Hertanto, Hermanuaji Sihageng, Muhammad Jordan Diandraputra

Institution: Universitas Gadjah Mada

Language: English

Topic: Impact of Technology on Adolescents

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $269