Gaming disorder, also referred to as game addiction, has garnered increasing clinical attention and was officially recognized by the World Health Organization (WHO) in 2018. Previously categorized alongside behavioral addictions such as gambling, gaming disorder shares key characteristics, including compulsive engagement and persistent behavior despite adverse consequences. Psychological risk factors include high impulsivity, emotional dysregulation, and stress, often exacerbating mental health issues like depression and anxiety. Despite its global recognition, research on gaming disorder in Korean adults remains limited, leaving a gap in understanding how individuals exhibit traits associated with the disorder. This study aims to characterize the psychological traits of high-risk individuals for game disorder in Korea and compare them with low-risk individuals. Findings revealed that high-risk individuals are more prone to addictive behaviors such as internet addiction, binge eating, pathological gambling, and nicotine dependence, though not alcohol addiction. They were also characterized by higher impulsivity, lower self-control, and poorer emotion regulation, particularly a reduced use of cognitive reappraisal strategy. Furthermore, high-risk individuals reported elevated levels of stress, depression, and anxiety. These findings highlight potential risk factors for gaming disorder in adults and provide a foundation for developing targeted screening tools and early intervention strategies for at-risk individuals.

Abstract
1. Introduction
2. Methods
    2.1. Participants
    2.2. Procedures
    2.3. Measures
    2.4. Statistical Analysis
3. Results and Discussion
    3.1. Study groups and Demographicinformation
    3.2. Addictive behaviors
    3.3. Cognitive factors
    3.4. Mental health
    3.5. Significance and Implications of thestudy
    3.6. Limitations of the study
4. Conclusion
Acknowledgement
References

• Jake Jeong(Department of Information Convergence Engineering, Pusan National University) | 정재익 (부산대학교 정보융합공학과, 학생)
• Jungwon Jang(Department of Information Convergence Engineering, Pusan National University) | 장정원 (부산대학교 정보융합공학과, 학생)
• Kwangyeol Baek(Department of Information Convergence Engineering, Pusan National University, School of Biomedical Convergence Engineering, Pusan National University) | 백광열 (부산대학교 정보융합공학과, 부산대학교 의생명융합공학부, 교수) Corresponding author