A Study on the Mental Health and Burnout of Medical Staff Responding to the Coronavirus Disease 2019 / 신경정신의학

Objectives@#This study was conducted to identify the level of mental health and burnout of medical staff at hospitals and public health centers, which responded to the coronavirus disease 2019 (COVID-19) in South Korea and to suggest appropriate management plans. @*Methods@#The mental health and burnout levels of medical staff responding to COVID-19 were evaluated through an online survey conducted during the period July 1–14, 2021. To analyze the mental health status of the participants according to their demographic characteristics, the chisquare test, t-test, and an analysis of variance were conducted, followed by Scheffe post-hoc tests for pairwise comparisons. @*Results@#A total of 773 participants were included in the study. An analysis of the clinically significant symptoms of the group showed that 29.5% had posttraumatic stress symptoms, 30.6% had depression, 15.8% had anxiety, 39.8% had somatic symptoms, and 4.5% were seen to be at risk of suicide. The average scores for burnout were as follows: 3.55±1.75 for emotional exhaustion, 2.68±1.73 for depersonalization, and 3.89±1.40 for personal accomplishment. Mental health problems and burnout were found to be high in women, those in the 20–39-year age bracket, those with less than 5 years of work experience, and public health center workers. @*Conclusion@#The medical staff responding to COVID-19 were observed to experience high levels of mental health and burnout problems. Work-related characteristics, such as younger age, lower work experience, and employment at a public health center, may have a negative impact on mental health and cause burnout. Therefore, individualized and systemic support for mental health and to prevent the burnout of medical staff responding to cases of COVID-19 is needed.

The Correlation between Carotid Intima-Media Thickness and Neutrophil to Lymphocyte Ratio in Prediabetes Patients / 가정의학회지

Background@#Prediabetes is a metabolic state between normoglycemia and diabetes and is known to carry a higher risk of developing overt diabetes and cardiovascular disease (CVD). The relative and absolute risks of all-cause mortality, CVD, coronary heart disease, and stroke in prediabetes patients, as well as in diabetic patients, is higher than that in patients with normoglycemia. Carotid intima-media thickness (cIMT) is a method used to stratify CVD risk. In this study, we aimed to determine whether the neutrophil-to-lymphocyte ratio (NLR) correlates with cIMT in prediabetes patients. @*Methods@#From January 1, 2016, to February 20, 2021, 581 adults their 30s–70s who underwent carotid ultrasonography as part of a comprehensive medical examination at the Dongtan Sacred Heart Hospital were enrolled. Statistical analysis using SPSS presented t-test and chi-square test significance levels into a group with normal cIMT (nIMT; cIMT <1 mm) and a group with thick cIMT (tIMT; cIMT ≥1 mm). Binary logistic regression analysis was performed to confirm the correlation between NLR and cIMT. @*Results@#In prediabetic adults, age, hemoglobin A1c (HbA1c), systolic blood pressure, and NLR were significantly higher in the tIMT group than in the nIMT group. In the regression analysis, NLR, age, and HbA1c were significantly correlated with cIMT. @*Conclusion@#NLR was significantly higher in the tIMT group than in the nIMT group; therefore, NLR may be used to assess CVD risk in prediabetes patients.

Gender-based Multilevel Analysis of Influential Factors for Suicide Attempts among At-risk Non-referred Adolescents in Korea

Objective@#Effective suicide prevention for at-risk adolescents requires increased access to medical treatment. Investigating the unique characteristics of suicide in this vulnerable at-risk non-referred sample can contribute to establishing effective suicide prevention policies. This study aimed to (a) examine at-risk non-referred adolescents’ suicide attempt rate, (b) investigate influential multilevel factors in predicting these adolescents’ suicide attempts, and (c) compare the results of (a) and (b) by gender. @*Methods@#A total of 401 samples (216 boys and 185 girls) were recruited through a school-based mental health project for at-risk adolescents. Multivariate hierarchical logistic regression analyses were performed at the individual-, contextual-, and protective levels to evaluate three multilevel models as well as to investigate predictabilities for the overall group and by gender. @*Results@#The suicide attempt rate of the overall sample was 29.4% (boys: 18.1%, girls: 42.7%), which was significantly higher than that of community samples. For boys, individual-level predictors (depression and conduct problems) had the most significant contribution in predicting suicide attempts. In contrast, for girls, protective-level predictors (family satisfaction) contributed the most to the prediction of suicide attempts, followed by contextual-level predictors (academic grades). @*Conclusion@#This study is an important step in understanding the unique characteristics of at-risk non-referred adolescents who have not yet been considered in mental health policies. Improving medical accessibility will be the first step in establishing effective suicide prevention policies for these vulnerable samples.