Purpose: This study aimed to determine the impact of work environment, missed nursing care, and non-nursing tasks on the job stress of hospital nurses. Methods: A descriptive, cross-sectional survey of 164 nurses working in three hospitals was conducted. Data were collected using structured questionnaires and analyzed using descriptive statistics, t-test, one-way analysis of variance, Pearson’s correlation coefficient, and multiple regression analysis using SPSS/WIN 26.0. Results: Hospital Nurses' job stress was negatively correlated with the work environment (r=-.37, p<.001). Job stress had a statistically significant positive correlation with non-nursing tasks (r=.34, p<.001);however, it had no significant correlation with missed nursing care (r=.05, p=.552). Regression model analysis revealed that the variables associated with job stress were non-nursing tasks (β=.29, p<.001) and the foundation for quality nursing care (β=-.25, p=.034), which are subdomains of the work environment. In contrast, missed nursing care was not determined to be a significant factor. Conclusion To effectively manage nurses' job stress, nurse managers should provide higher quality care by reducing the number of non-nursing tasks and creating a positive work environment, especially by providing adequate nursing workforce and material support.

Purpose: This study aimed to determine the impact of work environment, missed nursing care, and non-nursing tasks on the job stress of hospital nurses. Methods: A descriptive, cross-sectional survey of 164 nurses working in three hospitals was conducted. Data were collected using structured questionnaires and analyzed using descriptive statistics, t-test, one-way analysis of variance, Pearson’s correlation coefficient, and multiple regression analysis using SPSS/WIN 26.0. Results: Hospital Nurses' job stress was negatively correlated with the work environment (r=-.37, p<.001). Job stress had a statistically significant positive correlation with non-nursing tasks (r=.34, p<.001);however, it had no significant correlation with missed nursing care (r=.05, p=.552). Regression model analysis revealed that the variables associated with job stress were non-nursing tasks (β=.29, p<.001) and the foundation for quality nursing care (β=-.25, p=.034), which are subdomains of the work environment. In contrast, missed nursing care was not determined to be a significant factor. Conclusion To effectively manage nurses' job stress, nurse managers should provide higher quality care by reducing the number of non-nursing tasks and creating a positive work environment, especially by providing adequate nursing workforce and material support.

Purpose: This study aimed to determine the impact of work environment, missed nursing care, and non-nursing tasks on the job stress of hospital nurses. Methods: A descriptive, cross-sectional survey of 164 nurses working in three hospitals was conducted. Data were collected using structured questionnaires and analyzed using descriptive statistics, t-test, one-way analysis of variance, Pearson’s correlation coefficient, and multiple regression analysis using SPSS/WIN 26.0. Results: Hospital Nurses' job stress was negatively correlated with the work environment (r=-.37, p<.001). Job stress had a statistically significant positive correlation with non-nursing tasks (r=.34, p<.001);however, it had no significant correlation with missed nursing care (r=.05, p=.552). Regression model analysis revealed that the variables associated with job stress were non-nursing tasks (β=.29, p<.001) and the foundation for quality nursing care (β=-.25, p=.034), which are subdomains of the work environment. In contrast, missed nursing care was not determined to be a significant factor. Conclusion To effectively manage nurses' job stress, nurse managers should provide higher quality care by reducing the number of non-nursing tasks and creating a positive work environment, especially by providing adequate nursing workforce and material support.

Purpose: This study aimed to determine the impact of work environment, missed nursing care, and non-nursing tasks on the job stress of hospital nurses. Methods: A descriptive, cross-sectional survey of 164 nurses working in three hospitals was conducted. Data were collected using structured questionnaires and analyzed using descriptive statistics, t-test, one-way analysis of variance, Pearson’s correlation coefficient, and multiple regression analysis using SPSS/WIN 26.0. Results: Hospital Nurses' job stress was negatively correlated with the work environment (r=-.37, p<.001). Job stress had a statistically significant positive correlation with non-nursing tasks (r=.34, p<.001);however, it had no significant correlation with missed nursing care (r=.05, p=.552). Regression model analysis revealed that the variables associated with job stress were non-nursing tasks (β=.29, p<.001) and the foundation for quality nursing care (β=-.25, p=.034), which are subdomains of the work environment. In contrast, missed nursing care was not determined to be a significant factor. Conclusion To effectively manage nurses' job stress, nurse managers should provide higher quality care by reducing the number of non-nursing tasks and creating a positive work environment, especially by providing adequate nursing workforce and material support.

Background: The purpose of this study was to prepare data for the prevention and management of iron deficiency by analyzing the effects of taking iron supplements provided by blood centers for repeat blood donors. Methods: The high-risk groups with a potential iron deficiency were defined as three or more whole blood donations within the previous year and were provided with iron supplements for three months. Their hemoglobin and ferritin levels were checked up once a month for six months. The effectiveness of the iron supplements was evaluated by analyzing the changes in the initial and monthly hemoglobin and ferritin results. Results: At the time of recruitments, an average 50.4% (40.8% of men and 65.3% of women, respectively) of participants had ferritin levels of less than 15 ng/mL, the World Health Organization iron deficiency standard, but after three months iron supplementation, the results decreased to 10.9% (9.0% of men and 13.8% of women). The ferritin levels increased significantly after taking iron supplements for three months and showed significant increases in both men and women, particularly after two months (P＜0.05). Conclusion The dietary iron supplements containing low-dose iron were effective in preventing iron deficiency in repeat blood donors by increasing the ferritin levels.

Background: The purpose of this study was to prepare data for the prevention and management of iron deficiency by analyzing the effects of taking iron supplements provided by blood centers for repeat blood donors. Methods: The high-risk groups with a potential iron deficiency were defined as three or more whole blood donations within the previous year and were provided with iron supplements for three months. Their hemoglobin and ferritin levels were checked up once a month for six months. The effectiveness of the iron supplements was evaluated by analyzing the changes in the initial and monthly hemoglobin and ferritin results. Results: At the time of recruitments, an average 50.4% (40.8% of men and 65.3% of women, respectively) of participants had ferritin levels of less than 15 ng/mL, the World Health Organization iron deficiency standard, but after three months iron supplementation, the results decreased to 10.9% (9.0% of men and 13.8% of women). The ferritin levels increased significantly after taking iron supplements for three months and showed significant increases in both men and women, particularly after two months (P＜0.05). Conclusion The dietary iron supplements containing low-dose iron were effective in preventing iron deficiency in repeat blood donors by increasing the ferritin levels.

Purpose: This study examined the levels of traumatic event experience, self disclosure, social support, and posttraumatic growth of intensive care unit nurses and their relationships. Methods: Participants were 142 nurses who had worked for more than 3 months in six general hospitals, J province from August 7 to September 25, 2020. Collected data were analyzed using descriptive statistics, independent t-test, ANOVA, Pearson’s correlation coefficient, and multiple regression using the program SPSS version 22.0. Results: The posttraumatic growth was found to correlate significantly with self disclosure (r=.23, p=.005), individual support (r=.54, p<.001), and organizational support (r=.32, p<.001). Factors influencing the participants of the posttraumatic growth were individual support (β=.46, p<.001) and organizational support (β=.21, p=.007). These factors explained 32.0% of the variance of ICU nurses’ posttraumatic growth (F=14.13, p<.001). Conclusion Efforts to support positive changes after traumatic event experience for ICU nurses are needed. We suggest to develop individual and organizational supportive programs for posttraumatic growth for ICU nurses and to investigate the effects of the programs.

Cockroaches inhabit various habitats, which will influence their microbiome. Although the microbiome can be influenced by the diet and environmental factors, it can also differ between species. Therefore, we conducted 16S rDNAtargeted high-throughput sequencing to evaluate the overall bacterial composition of the microbiomes of 3 cockroach species, Periplaneta americana, P. japonica, and P. fuliginosa, raised in laboratory for several generations under the same conditions. The experiments were conducted using male adult cockroaches. The number of operational taxonomic units (OTUs) was not significantly different among the 3 species. With regard to the Shannon and Pielou indexes, higher microbiome values were noted in P. americana than in P. japonica and P. fuliginosa. Microbiome composition was also evaluated, with endosymbionts accounting for over half of all OTUs in P. japonica and P. fuliginosa. Beta diversity analysis further showed that P. japonica and P. fuliginosa had similar microbiome composition, which differed from that of P. americana. However, we also identified that P. japonica and P. fuliginosa host distinct OTUs. Thus, although microbiome compositions may vary based on multiple conditions, it is possible to identify distinct microbiome compositions among different Periplaneta cockroach species, even when the individuals are reared under the same conditions.

BACKGROUND: Rapid and accurate diagnosis of acute myocardial infarction (AMI) is critical for initiating effective treatment and achieving better prognosis. We investigated the performance of copeptin for early diagnosis of AMI, in comparison with creatine kinase myocardial band (CK-MB) and troponin I (TnI). METHODS: We prospectively enrolled 271 patients presenting with chest pain (within six hours of onset), suggestive of acute coronary syndrome, at an emergency department (ED). Serum CK-MB, TnI, and copeptin levels were measured. The diagnostic performance of CK-MB, TnI, and copeptin, alone and in combination, for AMI was assessed by ROC curve analysis by comparing the area under the curve (AUC). Sensitivity, specificity, negative predictive value, and positive predictive value of each marker were obtained, and the characteristics of each marker were analyzed. RESULTS: The patients were diagnosed as having ST elevation myocardial infarction (STEMI; N=43), non-ST elevation myocardial infarction (NSTEMI; N=25), unstable angina (N=78), or other diseases (N=125). AUC comparisons showed copeptin had significantly better diagnostic performance than TnI in patients with chest pain within two hours of onset (AMI: P=0.022, ≤1 hour; STEMI: P=0.017, ≤1 hour and P=0.010, ≤2 hours). In addition, TnI and copeptin in combination exhibited significantly better diagnostic performance than CK-MB plus TnI in AMI and STEMI patients. CONCLUSIONS The combination of TnI and copeptin improves AMI diagnostic performance in patients with early-onset chest pain in an ED setting.

BACKGROUND: In the present multi-institutional study, the prevalence and clinicopathologic characteristics of non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) were evaluated among Korean patients who underwent thyroidectomy for papillary thyroid carcinoma (PTC).METHODS: Data from 18,819 patients with PTC from eight university hospitals between January 2012 and February 2018 were retrospectively evaluated. Pathology reports of all PTCs and slides of potential NIFTP cases were reviewed. The strict criterion of no papillae was applied for the diagnosis of NIFTP. Due to assumptions regarding misclassification of NIFTP as non-PTC tumors, the lower boundary of NIFTP prevalence among PTCs was estimated. Mutational analysis for BRAF and three RAS isoforms was performed in 27 randomly selected NIFTP cases.RESULTS: The prevalence of NIFTP was 1.3% (238/18,819) of all PTCs when the same histologic criteria were applied for NIFTP regardless of the tumor size but decreased to 0.8% (152/18,819) when tumors ≥1 cm in size were included. The mean follow-up was 37.7 months and no patient with NIFTP had evidence of lymph node metastasis, distant metastasis, or disease recurrence during the follow-up period. A difference in prevalence of NIFTP before and after NIFTP introduction was not observed. BRAF(V600E) mutation was not found in NIFTP. The mutation rate for the three RAS genes was 55.6% (15/27).CONCLUSIONS: The low prevalence and indolent clinical outcome of NIFTP in Korea was confirmed using the largest number of cases to date. The introduction of NIFTP may have a small overall impact in Korean practice.
Carcinoma, Papillary ; Diagnosis ; Follow-Up Studies ; Genes, ras ; Hospitals, University ; Humans ; Korea ; Lymph Nodes ; Mutation Rate ; Neoplasm Metastasis ; Pathology ; Prevalence ; Protein Isoforms ; Recurrence ; Retrospective Studies ; Thyroid Gland ; Thyroid Neoplasms ; Thyroidectomy