Objective: This study examined the mediating effect of negative changes in daily life due to the coronavirus disease-2019 (COVID-19) pandemic on depressive symptoms, considering COVID-19 infection and related social concerns. Additionally, comparisons of path coefficients between the groups were conducted based on age and gender. Methods: A cross-sectional study design used data from the 2020 Korean Community Health Survey consisting of 229,269 individuals. This study used a self-reported questionnaire, including the Patient Health Questionnaire-9 and three items addressing social concerns related to COVID-19 infection. A single question assessed whether individuals had experienced COVID-19 infection within the last 3 months, and scores of negative changes in daily life due to the COVID-19 pandemic. Correlation analysis was performed on the variables. Structural equation model analysis was conducted to identify the mediating role of negative changes in daily life. Chi-square tests were also performed to compare the path coefficients based on age and gender. Results: The structural equation models revealed that COVID-19 infection and related social concerns had both significant direct effects on depressive symptoms and indirect effects through negative changes in daily life. When comparing the path coefficients by age and gender, the coefficients related to depressive symptoms were highest in those under 65 years and in females. Conclusion Negative changes in daily life due to the COVID-19 pandemic serve as a partial mediator of the impact of COVID-19 infection and related social concerns on depressive symptoms. Special attention should be paid to depressive symptoms in those under 65 years of age and in females.

Background: Healthcare workers (HCWs) face an increased risk of airborne infections owing to close patient contact and extended shifts. N95 respirators require routine fit testing to ensure effective protection. This study assessed the fit stability of N95 masks among nurses working in airborne infection units, using annual fit tests to observe changes over time. Methods: From May 2020 to January 2023, 37 nurses from the high-risk airborne infection units of a university hospital participated in this study. The fit tests followed the Occupational Safety and Health Administration’s Quantitative Fit Testing protocol, and non-parametric statistical analyses were applied. Nurses received formal annual training on N95 mask use and individualized guidance before each fit test. Results: In the initial test, 46.0% passed; of these, 15 consistently passed the second test (Group 1, Pass-Pass) and 2 failed (Group 2, Pass-Fail). No significant associations were found between demographic or job factors and the fit test outcomes. Average fit scores decreased from 100.79 (±58.22) initially to 32.25 (±66.54) in the second test, showing variability. Conclusion Ongoing training and experience improved fit consistency over time, emphasizing the importance of regular education. Rather than testing annually, targeted testing when selecting a new respirator or performing subsequent facial changes may enhance the protection of HCWs and reduce costs.

Objective: This study examined the mediating effect of negative changes in daily life due to the coronavirus disease-2019 (COVID-19) pandemic on depressive symptoms, considering COVID-19 infection and related social concerns. Additionally, comparisons of path coefficients between the groups were conducted based on age and gender. Methods: A cross-sectional study design used data from the 2020 Korean Community Health Survey consisting of 229,269 individuals. This study used a self-reported questionnaire, including the Patient Health Questionnaire-9 and three items addressing social concerns related to COVID-19 infection. A single question assessed whether individuals had experienced COVID-19 infection within the last 3 months, and scores of negative changes in daily life due to the COVID-19 pandemic. Correlation analysis was performed on the variables. Structural equation model analysis was conducted to identify the mediating role of negative changes in daily life. Chi-square tests were also performed to compare the path coefficients based on age and gender. Results: The structural equation models revealed that COVID-19 infection and related social concerns had both significant direct effects on depressive symptoms and indirect effects through negative changes in daily life. When comparing the path coefficients by age and gender, the coefficients related to depressive symptoms were highest in those under 65 years and in females. Conclusion Negative changes in daily life due to the COVID-19 pandemic serve as a partial mediator of the impact of COVID-19 infection and related social concerns on depressive symptoms. Special attention should be paid to depressive symptoms in those under 65 years of age and in females.

Objective: This study examined the mediating effect of negative changes in daily life due to the coronavirus disease-2019 (COVID-19) pandemic on depressive symptoms, considering COVID-19 infection and related social concerns. Additionally, comparisons of path coefficients between the groups were conducted based on age and gender. Methods: A cross-sectional study design used data from the 2020 Korean Community Health Survey consisting of 229,269 individuals. This study used a self-reported questionnaire, including the Patient Health Questionnaire-9 and three items addressing social concerns related to COVID-19 infection. A single question assessed whether individuals had experienced COVID-19 infection within the last 3 months, and scores of negative changes in daily life due to the COVID-19 pandemic. Correlation analysis was performed on the variables. Structural equation model analysis was conducted to identify the mediating role of negative changes in daily life. Chi-square tests were also performed to compare the path coefficients based on age and gender. Results: The structural equation models revealed that COVID-19 infection and related social concerns had both significant direct effects on depressive symptoms and indirect effects through negative changes in daily life. When comparing the path coefficients by age and gender, the coefficients related to depressive symptoms were highest in those under 65 years and in females. Conclusion Negative changes in daily life due to the COVID-19 pandemic serve as a partial mediator of the impact of COVID-19 infection and related social concerns on depressive symptoms. Special attention should be paid to depressive symptoms in those under 65 years of age and in females.

Background: Healthcare workers (HCWs) face an increased risk of airborne infections owing to close patient contact and extended shifts. N95 respirators require routine fit testing to ensure effective protection. This study assessed the fit stability of N95 masks among nurses working in airborne infection units, using annual fit tests to observe changes over time. Methods: From May 2020 to January 2023, 37 nurses from the high-risk airborne infection units of a university hospital participated in this study. The fit tests followed the Occupational Safety and Health Administration’s Quantitative Fit Testing protocol, and non-parametric statistical analyses were applied. Nurses received formal annual training on N95 mask use and individualized guidance before each fit test. Results: In the initial test, 46.0% passed; of these, 15 consistently passed the second test (Group 1, Pass-Pass) and 2 failed (Group 2, Pass-Fail). No significant associations were found between demographic or job factors and the fit test outcomes. Average fit scores decreased from 100.79 (±58.22) initially to 32.25 (±66.54) in the second test, showing variability. Conclusion Ongoing training and experience improved fit consistency over time, emphasizing the importance of regular education. Rather than testing annually, targeted testing when selecting a new respirator or performing subsequent facial changes may enhance the protection of HCWs and reduce costs.

Background: Healthcare workers (HCWs) face an increased risk of airborne infections owing to close patient contact and extended shifts. N95 respirators require routine fit testing to ensure effective protection. This study assessed the fit stability of N95 masks among nurses working in airborne infection units, using annual fit tests to observe changes over time. Methods: From May 2020 to January 2023, 37 nurses from the high-risk airborne infection units of a university hospital participated in this study. The fit tests followed the Occupational Safety and Health Administration’s Quantitative Fit Testing protocol, and non-parametric statistical analyses were applied. Nurses received formal annual training on N95 mask use and individualized guidance before each fit test. Results: In the initial test, 46.0% passed; of these, 15 consistently passed the second test (Group 1, Pass-Pass) and 2 failed (Group 2, Pass-Fail). No significant associations were found between demographic or job factors and the fit test outcomes. Average fit scores decreased from 100.79 (±58.22) initially to 32.25 (±66.54) in the second test, showing variability. Conclusion Ongoing training and experience improved fit consistency over time, emphasizing the importance of regular education. Rather than testing annually, targeted testing when selecting a new respirator or performing subsequent facial changes may enhance the protection of HCWs and reduce costs.

Objective: This study examined the mediating effect of negative changes in daily life due to the coronavirus disease-2019 (COVID-19) pandemic on depressive symptoms, considering COVID-19 infection and related social concerns. Additionally, comparisons of path coefficients between the groups were conducted based on age and gender. Methods: A cross-sectional study design used data from the 2020 Korean Community Health Survey consisting of 229,269 individuals. This study used a self-reported questionnaire, including the Patient Health Questionnaire-9 and three items addressing social concerns related to COVID-19 infection. A single question assessed whether individuals had experienced COVID-19 infection within the last 3 months, and scores of negative changes in daily life due to the COVID-19 pandemic. Correlation analysis was performed on the variables. Structural equation model analysis was conducted to identify the mediating role of negative changes in daily life. Chi-square tests were also performed to compare the path coefficients based on age and gender. Results: The structural equation models revealed that COVID-19 infection and related social concerns had both significant direct effects on depressive symptoms and indirect effects through negative changes in daily life. When comparing the path coefficients by age and gender, the coefficients related to depressive symptoms were highest in those under 65 years and in females. Conclusion Negative changes in daily life due to the COVID-19 pandemic serve as a partial mediator of the impact of COVID-19 infection and related social concerns on depressive symptoms. Special attention should be paid to depressive symptoms in those under 65 years of age and in females.

Background: Healthcare workers (HCWs) face an increased risk of airborne infections owing to close patient contact and extended shifts. N95 respirators require routine fit testing to ensure effective protection. This study assessed the fit stability of N95 masks among nurses working in airborne infection units, using annual fit tests to observe changes over time. Methods: From May 2020 to January 2023, 37 nurses from the high-risk airborne infection units of a university hospital participated in this study. The fit tests followed the Occupational Safety and Health Administration’s Quantitative Fit Testing protocol, and non-parametric statistical analyses were applied. Nurses received formal annual training on N95 mask use and individualized guidance before each fit test. Results: In the initial test, 46.0% passed; of these, 15 consistently passed the second test (Group 1, Pass-Pass) and 2 failed (Group 2, Pass-Fail). No significant associations were found between demographic or job factors and the fit test outcomes. Average fit scores decreased from 100.79 (±58.22) initially to 32.25 (±66.54) in the second test, showing variability. Conclusion Ongoing training and experience improved fit consistency over time, emphasizing the importance of regular education. Rather than testing annually, targeted testing when selecting a new respirator or performing subsequent facial changes may enhance the protection of HCWs and reduce costs.

Objective: This study examined the mediating effect of negative changes in daily life due to the coronavirus disease-2019 (COVID-19) pandemic on depressive symptoms, considering COVID-19 infection and related social concerns. Additionally, comparisons of path coefficients between the groups were conducted based on age and gender. Methods: A cross-sectional study design used data from the 2020 Korean Community Health Survey consisting of 229,269 individuals. This study used a self-reported questionnaire, including the Patient Health Questionnaire-9 and three items addressing social concerns related to COVID-19 infection. A single question assessed whether individuals had experienced COVID-19 infection within the last 3 months, and scores of negative changes in daily life due to the COVID-19 pandemic. Correlation analysis was performed on the variables. Structural equation model analysis was conducted to identify the mediating role of negative changes in daily life. Chi-square tests were also performed to compare the path coefficients based on age and gender. Results: The structural equation models revealed that COVID-19 infection and related social concerns had both significant direct effects on depressive symptoms and indirect effects through negative changes in daily life. When comparing the path coefficients by age and gender, the coefficients related to depressive symptoms were highest in those under 65 years and in females. Conclusion Negative changes in daily life due to the COVID-19 pandemic serve as a partial mediator of the impact of COVID-19 infection and related social concerns on depressive symptoms. Special attention should be paid to depressive symptoms in those under 65 years of age and in females.

Background: Pediatric trigger digit (TD) does not appear at birth but is diagnosed after birth by finding a flexion contracture of the thumb or other fingers. The reported incidence of pediatric TDs varies from 0.5 to 5 cases per 1,000 live births without sex-specific predominance. We performed a nationwide large-scale study to determine the prevalence and incidence of pediatric TDs and analyzed operative treatment for pediatric TDs using the National Health Insurance data of South Korea. Methods: Patients with pediatric TDs, aged 0–10 years between 2011 and 2020, were included in this study. Children born between 2011 and 2015 were set as the reference population and followed up until 2020. We calculated the prevalence and incidence rates of pediatric TDs according to age and sex and analyzed the operation rate, age at surgery, time interval from initial diagnosis to surgery, and follow-up period. Patient selection and treatment were based on International Classification of Diseases, 10th Revision (ICD-10). Results: The prevalence rates of pediatric TDs ranged from 0.063% to 0.084%. Girls had a higher prevalence rate (0.066%–0.094%) than boys (0.060%–0.075%). The total incidence rate was 77.6/100,000 person-years, and the incidence rate was higher in girls (84.8) than in boys (70.7). Among 2,181,814 children born between 2011 and 2015, 12,729 were diagnosed with pediatric TDs, of which 1,128 (8.9%) underwent operative management. The means of age at initial diagnosis, age at surgery, and the time interval between diagnosis and operation were 2.76 ± 1.91 years, 3.79 ± 2.19 years, and 1.15 ± 1.71 years, respectively. Conclusions High prevalence and incidence rates of pediatric TDs were found in 2- to 3-year-old patients. Among pediatric patients, 8.9% underwent operative management that was most frequently conducted between 2 and 3 years of age (within 1 year of initial diagnosis).