Objective The aims of this study were to explore the prevalence of and identify predictors of anxiety and depression related to coronavirus disease of 2019 (COVID-19) in South Korea.Methods The analysis is based on a quota survey design and a sampling frame that permitted recruitment of a national sample of 1,014 individuals between March 17–31, 2020. Several standardized measurements were used, including GAD-7, PHQ-9, COVID-19 related fear, restrictions in deaily life, as well as sociodemographic information and physical and psychosocial needs during the pandemic. Multiple logistic regression was conducted to analyze the influence of sociodemographic factors, fear, and physical/psychosocial needs on anxiety and depression.Results Significant numbers of the respondents were identifiable anxiety (19.0%) and depression group (17.5%), respectively. This indicates that the depression and anxiety prevalence rate after the COVID-19 is substantially high compared to the depression rate of 2.6% in 2020 and 2.8% in 2018 both reported in the Korea Community Health Survey and the anxiety rate of 5.7% reported in 2016 Survey of Mental Disorders in Korea. Multiple logistic regression results showed age, COVID-19 related fear, and the level of restrictions in daily as significant factors in understanding and predicting the anxiety group. Likfewise, the COVID-19 related fear, restrictions in daily life, and need for economic support were important predictors in predicting the depression group.Conclusion Findings on predictors for greater vulnerability to anxiety and depression has important implications for public mental health in the context of the COVID-19 pandemic.

It is crucial for people to have an immediate link to communitybased mental health services (CMHSs) after psychiatric crisis. This study aims to identify the determinants of people's use of CMHSs after Mobile Crisis Team (MCT) intervention. This study integrated four local administrative records and selected 1,771 adults who received MCT intervention in 2008. The authors measured the length between the last day of crisis period and the first date of using CMHSs and used the Cox proportional hazard model to estimate its predictors. Of the sample, 44.2% used CMHSs within 30 days after MCT intervention. Cox proportional hazards model identifies predictors of using CMHSs such as clients' diagnosis, substance abuse issues, treatment history, and the interventions during the crisis period. The findings reconfirm the vital roles of MCT intervention such as linking resources and referral services. Because this study simultaneously observes the process and postphase of psychiatric crisis intervention, its findings not only assist in improving interventions for people with psychiatric crisis but also support social policy and programs that strengthen the continuum of care.