ObjectiveThe aim was to establish an optimal cut-off score of the Children's Depression Inventory (CDI) for detecting depression and rating severity in Korean adolescents.MethodsA total of 468 students aged 12-16 years from 8 middle schools in Busan, Korea participated in this study. The Korean version of the CDI and Kiddie Schedule for Affective Disorders and Schizophrenia Present and Lifetime Version were used to evaluate depressive symptoms. Receiver-operating characteristics (ROC) analyses were conducted to evaluate case-finding performance and set the cut-off scores.ResultsROC analyses demonstrated that the overall discrimination power of the CDI is good enough to evaluate adolescent depression. The CDI sum score of 20 was identified as the optimal screening cut-off score, where sensitivity was 0.83 and specificity was 0.89. This cut-off score could apply regardless of subjects' gender. The cut-off scores were examined in order of the depression severity: 15 for mild, 20 for moderate, and 25 for severe depression with high sensitivity and specificity.ConclusionThe CDI cut-off scores of our study can be recommended for screening depressed youth and rating the severity of depressive symptoms. The high negative predictive value suggested that the cut-off score of 20 would result in a small number of missed cases. Further studies are needed to ascertain these CDI cut-off scores for different age groups.

Background Since its first case confirmed on January 20, 2020, Korea has been through three waves of the COVID-19 pandemic. Fears of the fourth wave persist as new cases continue to emerge. In such unpredictable times, the mental well-being of people is of crucial importance. This study examined the levels of depression and anxiety and their predictors among the Korean general public in Busan, Korea, during the COVID-19 pandemic. Methods We conducted a cross-sectional study via a self-reported questionnaire administered to 2,288 adult residents (aged 19–60 years) of Busan, Korea. Participants' depression and anxiety were assessed using the Korean version of the Patient Health Questionnaire-4 (PHQ-4), which consists of PHQ-2 and Generalized Anxiety Disorder-2 (GAD-2), with the cutoff score of 3. Results The mean age of the participant s was 39.71 years. COVID-19 had several psychosocial impacts on people. It was revealed that 80.3% had restrictions in outside activities, 47.3% reported financial difficulties, and 53.6% had a fear of death or fatal outcome when infected with COVID-19. We performed logistic regression analysis to identify the factors associated with depression and anxiety. A total of 30.7% participants were classified as at risk of depression based on cutoff score of 3 on PHQ-2. Logistic regression analysis revealed that changes in sleep pattern due to COVID-19 were most strongly associated with depression, followed by restrictions in outside activities due to social distancing and increased family conflicts due to COVID-19. Also, 22.6% participants were classified as at risk of anxiety based on a cutoff score of 3 on GAD-2. Analysis revealed that changes in sleep pattern due to COVID-19 were most strongly associated with anxiety, followed by spending a lot of time searching for COVID-19-related information and having a fear of death or fatal outcome when infected with COVID-19. Conclusion The results are alarming; 30.7% had a PHQ-2 score of 3 or higher, indicating depression, and 22.6% had a GAD-2 score of 3 or higher, indicating anxiety. Changes in sleep pattern had the strongest association with both depression and anxiety. Our results can be used to formulate mental health policies tailored to the context of the city. Our findings suggest the high prevalence of depression and anxiety in the society during the COVID-19 pandemic, which places growing importance on early intervention for mental health problems during these times.

ObjectiveThe aims of the present study are to investigate the rate of the psychiatric disorders in psychiatrically high-risk children and adolescents and to examine sex and age differences in the diagnosis of psychiatric disorders.MethodsThe participants included students aged 6-16 from the 27 elementary and the 45 middle schools in Busan, Korea. We screened psychopathology using the Korean version of Child Behavior Checklist (K-CBCL) or the Youth Self Report (K-YSR). A total of 2,912 students were selected as high-risk students on the basis of cut-off scores (T-score ≥60) for a total behavior problem score of K-CBCL/K-YSR. Of these high-risk students, 1,985 students participated in and completed individual diagnostic interviews. Psychiatric diagnosis was assessed using a Korean version of the Kiddie-Schedule for Affective Disorders and Schizophrenia. Multivariate logistic regression analysis was conducted to examine sex and age differences of psychiatric diagnosis.ResultsBased on sex, boys were more likely to have ADHD and girls were more likely to have depression. Based on age, children were more likely to have ADHD and adolescents were more likely to have affective disorder, conduct disorder, psychotic disorder, and anxiety disorders except separation anxiety disorder.ConclusionThis is the largest study to conduct face-to-face interviews with subjects and parent(s) among Korean studies in this field. The present study revealed significant differences across sex and age among specific psychiatric disorders in children and adolescents. Future population-based studies will be required to ascertain the sex- and age-related differences of psychiat prevalence.

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Bullying victimization is a risk factor for depression, psychosis, and suicide ideation and attempts. The findings warrant an early intervention and suicide prevention program for victimized students and anti-bullying policies in schools.