Objectives: The purpose of this study was to classify the users of a university counseling center and define their characteristics using the information from the service application written by them as one of the approaches to improve the efficiency of the center. Methods: The participants were a total of 300 users of the university counseling and affiliated psychiatry center in the local science and technology institute. The service application form used in this study contained questions on personal information, overall satisfaction with university life and interpersonal relationships, problem areas and symptoms, depression, anxiety, sleep, family history, suicidal thoughts, experiences of suicide/self-harm attempts, and a functional impairment questionnaire. First, a latent class analysis was performed to classify the layers and define them. Also, a tree-based model was used to confirm the characteristics of the service applications of the suicide/self-harm attempt experience group. Results: A total of 5 layers were found to be the most suitable fit. They were named the ‘health concern type,’ ‘relation problem type,’ ‘depression-sleep problem combined type,’ ‘complex problem type,’ and ‘sleep problem type.’ The variable that best discriminates the suicide/selfharm attempt experience group was question 5 of the Patient Health Questionnaire (PHQ-9). The frequency of selection in the impulsivity domain among the problem types and question 9 of the PHQ-9 was followed. Conclusion The results of this study indicate that five types of discriminatory interventions are possible based on the characteristics of the service application. The application can thus be used as basic data for increasing service efficiency in university counseling.

Objective: Problematic online gaming (POG) and problematic Internet use (PIU) have become a serious public mental health problem, with Internet gaming disorder (IGD) included in “Conditions for further study” section of DSM-5. Although higher immersive tendency is observed in people affected by POG, little is known about the simultaneous effect of immersive tendency and its highly comorbid mental disorder, attention deficit/hyperactivity disorder (ADHD). This study aimed to assess the relationship between immersive tendency, ADHD, and IGD. Methods: Cross-sectional interview study was conducted in Seoul, Korea with 51 male undergraduate students; 23 active gamers and 28 controls. Results: Current ADHD symptoms showed partial mediation effect on the path of immersive tendency on POG and PIU. The mediation model with inattention explained variance in both POG and PIU better than other current ADHD symptom models (R2=69.2 in POG; 69.3 in PIU). Childhood ADHD symptoms models demonstrated mediation effect on both POG and PIU which explained less variance than current ADHD symptom models (R2=53.7 in POG; 52.1 in PIU). Current ADHD symptoms, especially inattention, appear to mediate the effect of immersive tendency on POG/PIU. Conclusion Immersive tendencies may entail greater susceptibility to IGD, and comorbidity with ADHD may mediate the effect of immersive tendency on IGD.