Objective: This study compared the incidence of suicide cases among Korean students before and after the coronavirus disease-2019 (COVID-19) pandemic. Methods: Aggregated case reports of all known suicide victims attending elementary, middle, and high school in South Korea from 2017 to 2022 were analyzed. These reports, compiled by teachers under the directive of the South Korean Department of Education, surveyed the circumstances surrounding each suicide and identified associated risk factors posthumously. Results: The completed suicide rate was 2.37 per 100,000 students pre-COVID-19 (2017–2019), significantly increasing to 3.37 per 100,000 students post-COVID-19 (2020–2022; odds ratio [OR] 1.42, p<0.001). The rate began to rise approximately 6 months into the pandemic and continued to worsen throughout 2021 and 2022. Fair attendance significantly increased in 2020 (74.83%, p=0.003) during the initial stage of school closure measures compared to 2019 (58.27%) among students prior to suicide completion. However, as social distancing measures continued, “absence due to medical reasons” showed a significant increase in 2022 (23.56%) compared to 2019 (13.67%, p=0.025) and 2020 (9.52%, p<0.001) among these students. Among those who completed suicide, teachers reported increased signs of depression and anxiety posthumously compared to pre-COVID-19 periods. Conclusion The incidence of completed suicide among students was significantly higher in the post-COVID-19 years compared to pre-COVID-19. Attendance records and teachers’ reports indicated a deterioration in mental health among these students before suicide completion, highlighting the need to consider mental health impacts when implementing future quarantine policies.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

The impact of Streptococcus pneumoniae coinfection on coronavirus disease 2019 (COVID-19) prognosis remains uncertain. We conducted a retrospective analysis of patients hospitalized with COVID-19 who underwent a pneumococcal urinary antigen (PUA) test to assess its clinical utility. Results showed that PUA-positive patients required more oxygen support, high-flow nasal cannula, and dexamethasone compared to PUA-negative patients.Furthermore, the significantly higher incidence of a National Early Warning Score ≥5 in the PUA-positive group (P<0.001) suggests that a positive PUA test is associated with a severe disease course. However, no significant difference in mortality was observed between the two groups, and antibiotics were used in almost all patients (96.2%). While the PUA test may help guide antibiotic use in COVID-19 patients, its interpretation should be approached with caution.

Objective: This study compared the incidence of suicide cases among Korean students before and after the coronavirus disease-2019 (COVID-19) pandemic. Methods: Aggregated case reports of all known suicide victims attending elementary, middle, and high school in South Korea from 2017 to 2022 were analyzed. These reports, compiled by teachers under the directive of the South Korean Department of Education, surveyed the circumstances surrounding each suicide and identified associated risk factors posthumously. Results: The completed suicide rate was 2.37 per 100,000 students pre-COVID-19 (2017–2019), significantly increasing to 3.37 per 100,000 students post-COVID-19 (2020–2022; odds ratio [OR] 1.42, p<0.001). The rate began to rise approximately 6 months into the pandemic and continued to worsen throughout 2021 and 2022. Fair attendance significantly increased in 2020 (74.83%, p=0.003) during the initial stage of school closure measures compared to 2019 (58.27%) among students prior to suicide completion. However, as social distancing measures continued, “absence due to medical reasons” showed a significant increase in 2022 (23.56%) compared to 2019 (13.67%, p=0.025) and 2020 (9.52%, p<0.001) among these students. Among those who completed suicide, teachers reported increased signs of depression and anxiety posthumously compared to pre-COVID-19 periods. Conclusion The incidence of completed suicide among students was significantly higher in the post-COVID-19 years compared to pre-COVID-19. Attendance records and teachers’ reports indicated a deterioration in mental health among these students before suicide completion, highlighting the need to consider mental health impacts when implementing future quarantine policies.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

Objective: This study compared the incidence of suicide cases among Korean students before and after the coronavirus disease-2019 (COVID-19) pandemic. Methods: Aggregated case reports of all known suicide victims attending elementary, middle, and high school in South Korea from 2017 to 2022 were analyzed. These reports, compiled by teachers under the directive of the South Korean Department of Education, surveyed the circumstances surrounding each suicide and identified associated risk factors posthumously. Results: The completed suicide rate was 2.37 per 100,000 students pre-COVID-19 (2017–2019), significantly increasing to 3.37 per 100,000 students post-COVID-19 (2020–2022; odds ratio [OR] 1.42, p<0.001). The rate began to rise approximately 6 months into the pandemic and continued to worsen throughout 2021 and 2022. Fair attendance significantly increased in 2020 (74.83%, p=0.003) during the initial stage of school closure measures compared to 2019 (58.27%) among students prior to suicide completion. However, as social distancing measures continued, “absence due to medical reasons” showed a significant increase in 2022 (23.56%) compared to 2019 (13.67%, p=0.025) and 2020 (9.52%, p<0.001) among these students. Among those who completed suicide, teachers reported increased signs of depression and anxiety posthumously compared to pre-COVID-19 periods. Conclusion The incidence of completed suicide among students was significantly higher in the post-COVID-19 years compared to pre-COVID-19. Attendance records and teachers’ reports indicated a deterioration in mental health among these students before suicide completion, highlighting the need to consider mental health impacts when implementing future quarantine policies.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.

The impact of Streptococcus pneumoniae coinfection on coronavirus disease 2019 (COVID-19) prognosis remains uncertain. We conducted a retrospective analysis of patients hospitalized with COVID-19 who underwent a pneumococcal urinary antigen (PUA) test to assess its clinical utility. Results showed that PUA-positive patients required more oxygen support, high-flow nasal cannula, and dexamethasone compared to PUA-negative patients.Furthermore, the significantly higher incidence of a National Early Warning Score ≥5 in the PUA-positive group (P<0.001) suggests that a positive PUA test is associated with a severe disease course. However, no significant difference in mortality was observed between the two groups, and antibiotics were used in almost all patients (96.2%). While the PUA test may help guide antibiotic use in COVID-19 patients, its interpretation should be approached with caution.

Objective: This study compared the incidence of suicide cases among Korean students before and after the coronavirus disease-2019 (COVID-19) pandemic. Methods: Aggregated case reports of all known suicide victims attending elementary, middle, and high school in South Korea from 2017 to 2022 were analyzed. These reports, compiled by teachers under the directive of the South Korean Department of Education, surveyed the circumstances surrounding each suicide and identified associated risk factors posthumously. Results: The completed suicide rate was 2.37 per 100,000 students pre-COVID-19 (2017–2019), significantly increasing to 3.37 per 100,000 students post-COVID-19 (2020–2022; odds ratio [OR] 1.42, p<0.001). The rate began to rise approximately 6 months into the pandemic and continued to worsen throughout 2021 and 2022. Fair attendance significantly increased in 2020 (74.83%, p=0.003) during the initial stage of school closure measures compared to 2019 (58.27%) among students prior to suicide completion. However, as social distancing measures continued, “absence due to medical reasons” showed a significant increase in 2022 (23.56%) compared to 2019 (13.67%, p=0.025) and 2020 (9.52%, p<0.001) among these students. Among those who completed suicide, teachers reported increased signs of depression and anxiety posthumously compared to pre-COVID-19 periods. Conclusion The incidence of completed suicide among students was significantly higher in the post-COVID-19 years compared to pre-COVID-19. Attendance records and teachers’ reports indicated a deterioration in mental health among these students before suicide completion, highlighting the need to consider mental health impacts when implementing future quarantine policies.

Objective: The clinical presentation of depressive disorders might be influenced by age, and its diagnosis and treatment can be affected by ageism-related bias. A network analysis can reveal symptom patterns unrecognized by the reductionistic approach. Therefore, this study explores the network structure of depression and anxiety symptoms in older Asian patients with depressive disorders and examines age-related differences in the context of ageism. Methods: We used data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 study and included 2,785 psychiatric patients from 11 Asian countries. Depression and anxiety symptoms were assessed using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7. Network analyses were conducted to identify symptom interconnections and centrality among older (>65 years), middle-aged (35–64 years), and young (18–34 years) adult groups. The network structures were also compared using a network comparison test. Results: Depressed mood was the most central symptom across all age groups. Network comparisons revealed no significant structural differences among the three age groups, despite several variations in terms of global strength. The network structure of the older group was characterized by strong interconnections between somatic symptoms (insomnia-energy) and core depressive symptoms (little interest or pleasure-feelings of hopelessness). Conclusion This study reveals that the network structures of depression and anxiety symptoms have relatively consistent interconnections across age groups, despite subtle age-based differences. Specifically, older adults tend to present anxiety and depression symptoms as physical complaints. These findings challenge ageist stereotypes and advocate for inclusive, age-neutral approaches to treatment.