No abstract available.
Animals ; Mice* ; Uterus*

Objectives: Rapid eye movement (REM) sleep without atonia (RSWA) fulfils one of the criteria for diagnosing REM sleep behavior disorder (RBD) according to the International Classification of Sleep Disorders, Third Edition. However, RSWA quantification is an unresolved issue, which is associated with the future direction of revising the diagnostic criteria. The purpose of this study was to evaluate the quantification of RSWA in patients with RBD and identify an optimal cut-off value of quantitative RSWA for RBD diagnosis. Methods: Medical records and polysomnographic results were analyzed retrospectively to diagnose sleep disorders from June 2017 to May 2018 at Pusan National University Hospital. Nineteen subjects with idiopathic RBD were included in the present study. Propensity score matching was used to control age, gender, and anti-depressant factors, which influenced RSWA. RSWA was scored according to the American Academy of Sleep Medicine scoring manual. Cohen’s kappa coefficient was measured to test inter-rater reliability between two polysomnography raters. Results: Cohen’s kappa coefficients were 0.755 (p<0.001) and 0.689 (p<0.001) for tonic and phasic activities, respectively. RSWA was significantly increased in subjects with RBD compared with controls [median and interquartile range: 16.5 (8.8–24.6) vs. 6.3 (4.1–7.2) p=0.001]. The optimal cut-off value was 8.0% for the proportion of RSWA (sensitivity 78.5%, specificity 85.7%, area under the receiver-operating characteristic curve 0.837). Conclusions Subjects with RBD had significantly increased RSWA compared to controls. The proportion of RSWA during REM sleep can be applied to discriminate subjects with RBD from controls.

Objectives: This study aimed to examine the characteristics of patients according to their nutritional status as assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 at the Samsung Medical Center were included. We categorized patients into malnourished and normal according to the five nutritional screening tools 1 month after surgery and compared their characteristics. We also calculated the Spearman partial correlation, Cohen’s Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each pair of screening tools. Results: We observed 86.24% malnutrition based on the PG-SGA and 85.82% based on the NUTRISCORE among gastric cancer patients in our study. When we applied NRI or CONUT, however, the malnutrition levels were less than 30%. Patients with malnutrition as assessed by the PG-SGA, NUTRISCORE, or NRI had lower intakes of energy and protein compared to normal patients. When NRI, PNI, or CONUT were used to identify malnutrition, lower levels of albumin, hemoglobin, total lymphocyte count, total cholesterol, and longer postoperative hospital stays were observed among patients with malnutrition compared to those without malnutrition. We found relatively high agreement between PG-SGA and NUTRISCORE; sensitivity was 90.86% and AUC was 0.78. When we compared NRI and PNI, sensitivity was 99.64% and AUC was 0.97. AUC ranged from 0.50 to 0.67 for comparisons between CONUT and each of the other nutritional screening tools. Conclusions Our study suggests that PG-SGA and NRI have a relatively high agreement with the NUTRISCORE and PNI, respectively. Further cohort studies are needed to examine whether the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

Objectives: This study examined the characteristics of patients according to nutritional status assessed by five nutritional screening tools: Patient-Generated Subjective Global Assessment (PG-SGA), NUTRISCORE, Nutritional Risk Index (NRI), Prognostic Nutritional Index (PNI), and Controlling Nutritional Status (CONUT) and to compare the agreement, sensitivity, and specificity of these tools. Methods: A total of 952 gastric cancer patients who underwent gastrectomy and chemotherapy from January 2009 to December 2012 were included. The patients were categorized into malnutrition and normal status according to five nutritional screening tools one month after surgery. The Spearman partial correlation, Cohen’s Kappa coefficient, the area under the curve (AUC), sensitivity, and specificity of each two screening tools were calculated. Results: Malnutrition was observed in 86.24% of patients based on the PG-SGA and 85.82% based on the NUTRISCORE. When NRI or CONUT were applied, the proportions of malnutrition were < 30%. Patients with malnutrition had lower intakes of energy and protein than normal patients when assessed using the PG-SGA, NUTRISCORE, or NRI. Lower levels of albumin, hemoglobin, total lymphocyte count, and total cholesterol and longer postoperative hospital stays were observed among patients with malnutrition compared to normal patients when NRI, PNI, or CONUT were applied. Relatively high agreement for NUTRISCORE relative to PG-SGA was found; the sensitivity was 90.86%, and the AUC was 0.78. When NRI, PNI, and CONUT were compared, the sensitivities were 23.72% for PNI relative to NRI, 44.53% for CONUT relative to NRI, and 90.91% for CONUT relative to PNI. The AUCs were 0.95 for NRI relative to PNI and 0.91 for CONUT relative to PNI. Conclusions NUTRISCORE had a high sensitivity compared to PG-SGA, and CONUT had a high sensitivity compared to PNI. NRI had a high specificity compared to PNI. This relatively high sensitivity and specificity resulted in 77.00% agreement between PNI and CONUT and 77.94% agreement between NRI and PNI. Further cohort studies will be needed to determine if the nutritional status assessed by PG-SGA, NUTRISCORE, NRI, PNI, and CONUT predicts the gastric cancer prognosis.

OBJECTIVES: This study analyzed the education participation reasons and deterrents of dietitians who work in welfare facilities for the elderly. METHODS: The survey was completed by 144 dietitians working at welfare facilities for the elderly in Korea. The survey was conducted in October, 2018, both on-line and off-line, based on the demographic characteristics, work status on welfare facilities for the elderly, Participation Reasons Scale (PRS) and Deterrents to Participation Scale (DPS-G). The data were analyzed using frequency analysis, descriptive analysis, factor analysis, reliability analysis, regressive analysis using SPSS ver. 25.0. RESULTS: The reason for participation were divided into three factors: ‘Responsibility of professional and self-development (5.76 ± 1.04)’, ‘Job stability and personal benefits (4.98 ± 1.28)’, and ‘Interaction and development of professional competencies (5.85 ± 1.00)’. ‘Interaction and development of professional competencies’ was the highest motivation factor. Also, the deterrents for participation were divided into four factors: ‘Dispositional barrier (2.70 ± 1.29)’, ‘Dissatisfaction of education usability (3.39 ± 1.38)’, ‘Institutional barrier (4.21 ± 1.45)’, and ‘Situational barrier (2.36 ± 1.30)’. ‘Institutional barrier’ showed the highest deterrents factor. In addition, ‘Responsibility of professional and self-development’ and ‘Interaction and development of professional competencies’ were negative attributes for ‘Dispositional barrier’ (p<0.001). CONCLUSIONS: These results provide basic data to promote participation in education and contribute to the improvement of their job ability and education capacity of the food and nutrition management of welfare facilities for the elderly
Aged ; Education ; Humans ; Korea ; Motivation ; Nutritionists

OBJECTIVES: This study analyzed the education participation reasons and deterrents of dietitians who work in welfare facilities for the elderly. METHODS: The survey was completed by 144 dietitians working at welfare facilities for the elderly in Korea. The survey was conducted in October, 2018, both on-line and off-line, based on the demographic characteristics, work status on welfare facilities for the elderly, Participation Reasons Scale (PRS) and Deterrents to Participation Scale (DPS-G). The data were analyzed using frequency analysis, descriptive analysis, factor analysis, reliability analysis, regressive analysis using SPSS ver. 25.0. RESULTS: The reason for participation were divided into three factors: ‘Responsibility of professional and self-development (5.76 ± 1.04)’, ‘Job stability and personal benefits (4.98 ± 1.28)’, and ‘Interaction and development of professional competencies (5.85 ± 1.00)’. ‘Interaction and development of professional competencies’ was the highest motivation factor. Also, the deterrents for participation were divided into four factors: ‘Dispositional barrier (2.70 ± 1.29)’, ‘Dissatisfaction of education usability (3.39 ± 1.38)’, ‘Institutional barrier (4.21 ± 1.45)’, and ‘Situational barrier (2.36 ± 1.30)’. ‘Institutional barrier’ showed the highest deterrents factor. In addition, ‘Responsibility of professional and self-development’ and ‘Interaction and development of professional competencies’ were negative attributes for ‘Dispositional barrier’ (p<0.001). CONCLUSIONS: These results provide basic data to promote participation in education and contribute to the improvement of their job ability and education capacity of the food and nutrition management of welfare facilities for the elderly
Aged ; Education ; Humans ; Korea ; Motivation ; Nutritionists

BACKGROUND/OBJECTIVES: This study aimed to test the association between APOA5 3'-UTR variants (rs662799) and cardiometabolic traits in Koreans. SUBJECTS/METHODS: For this study, epidemiological data, Apolipoprotein A5 (APOA5) genotype information, and lymphoblastoid cell line (LCL) biospecimens from a subset of the Ansung-Ansan cohort within the Korean Genome and Epidemiology study (KoGES-ASAS; n = 7,704) as well as epidemiological data along with genomic DNA biospecimens of participants from a subset of the Korea National Health and Nutrition Examination Survey (KNHANES 2011-12; n = 2,235) were obtained. APOA5 mRNA expression was also measured. RESULTS: APOA5 rs662799 genotype distributions in both the KoGES-ASAS and KNHANES groups were 50.6% for TT, 41.3% for TC, and 8.1% for CC, which are similar to those in previous reports. In both groups, minor C allele carriers, particularly subjects with CC homozygosity, had lower high-density lipoprotein (HDL) cholesterol and higher triglyceride levels than TT homozygotes. Linear regression analysis showed that the minor C allele significantly contributed to reduction of circulating HDL cholesterol levels [β = −2.048, P < 0.001; β = −2.199, P < 0.001] as well as elevation of circulating triglyceride levels [β = 0.053, P < 0.001; β = 0.066, P < 0.001] in both the KoGES-ASAS and KNHANES groups. In addition, higher expression levels of APOA5 in LCLs of 64 healthy individuals were negatively associated with body mass index (r = −0.277, P = 0.027) and circulating triglyceride level (r = −0.340, P = 0.006) but not significantly correlated with circulating HDL cholesterol level. On the other hand, we observed no significant difference in the mRNA level of APOA5 according to APOA5 rs662799 polymorphisms. CONCLUSIONS: The C allele of APOA5 rs662799 was found to be significantly associated with cardiometabolic traits in a large Korean population from the KoGES-ASAS and KNHANES. The effect of this genotype may be associated with post-transcriptional regulation, which deserves further experimental confirmation.
Alleles ; Apolipoproteins ; Asian Continental Ancestry Group ; Body Mass Index ; Cell Line ; Cholesterol ; Cholesterol, HDL ; Cohort Studies ; DNA ; Epidemiologic Studies ; Epidemiology ; Genome ; Genotype ; Hand ; Homozygote ; Humans ; Korea ; Linear Models ; Lipoproteins ; Nutrition Surveys ; RNA, Messenger ; Triglycerides

BACKGROUND: Firefighters are exposed to many dangerous working conditions. Many studies have identified the risk of disease for firefighters, but only a few studies have addressed the medical expenses of firefighters, which represents a concrete scale of disease. Our purpose in this study was to determine the medical expenditures of firefighters to assess the overall scale of disease in Korea. We focused on cancer, mental disorders, cardio-cerebrovascular disease, and musculoskeletal disease, the prevalence of which was expected to be high in firefighters. METHODS: This study utilized National Health Insurance Service data. We targeted firefighters, police officers, and government officials. We classified disease based on the 10th revision of the International Statistical Classification of Diseases and Related Health Problems codes. We compared prevalence by the age-standardized prevalence rate, considering standard distribution of the population. Medical expenditure of disease was defined as outpatient fees, hospitalization fees, and drug costs. Total medical expenditures were calculated by the sum of those 3 categories. RESULTS: The age-standardized prevalence of cancer, mental disorders, and cardiovascular disease in firefighters was slightly higher than or similar to that of government officials and police officers (no significant difference). However, medical expenditures for stomach cancer, mental disorders, and most cardio-cerebrovascular diseases were higher in firefighters than in others. In particular, firefighters spent 12 times more money for ischemic heart disease than did government officials. Of musculoskeletal diseases, lumbar disc disorder had the highest expenditures among firefighters. CONCLUSIONS The age-standardized prevalence of most of diseases of firefighters was not as high as in the other groups, but the medical expenses of firefighters were much higher than those of government officials and police officers.

no abstract available.

Cardiovascular Diseases ; Drug Costs ; Fees and Charges ; Firefighters ; Health Expenditures ; Hospitalization ; Humans ; International Classification of Diseases ; Korea ; Mental Disorders ; Musculoskeletal Diseases ; Myocardial Ischemia ; National Health Programs ; Occupational Groups ; Outpatients ; Police ; Prevalence ; Stomach Neoplasms