Identification of novel susceptibility genes associated with bone density and osteoporosis in Korean women

Purpose@#Osteoporosis is a common calcium and metabolic skeletal disease which is characterized by decreased bone mass, microarchitectural deterioration of bone tissue and impaired bone strength, thereby leading to enhanced risk of bone fragility.In this study, we aimed to identify novel genes for susceptibility to osteoporosis and/or bone density. @*Materials and Methods@#To identify differentially expressed genes (DEGs) between control and osteoporosis-induced cells, annealing control primer-based differential display reverse-transcription polymerase chain reaction (RT-PCR) was carried out in pre-osteoblast MC3T3-E1 cells. Expression levels of the identified DEGs were evaluated by quantitative RT-PCR. Association studies for the quantitative bone density analysis and osteoporosis case-control analysis of single nucleotide polymorphism (SNPs) were performed in Korean women (3,570 subjects) from the Korean Association REsource (KARE) study cohort. @*Results@#Comparison analysis of expression levels of the identified DEGs by quantitative RT-PCR found seven genes, Anxa6, Col5a1, Col6a2, Eno1, Myof, Nfib, and Scara5, that showed significantly different expression between the dexamethasontreated and untreated MC3T3-E1 cells and between the ovariectomized osteoporosis-induced mice and sham mice. Association studies revealed that there was a significant association between the SNPs in the five genes, ANXA6, COL5A1, ENO1, MYOF, and SCARA5, and bone density and/or osteoporosis. @*Conclusion@#Using a whole-genome comparative expression analysis, gene expression evaluation analysis, and association analysis, we found five genes that were significantly associated with bone density and/or osteoporosis. Notably, the association P-values of the SNPs in the ANXA6 and COL5A1 genes were below the Bonferroni-corrected significance level.

Developing a Nursing Needs Assessment Scale and Patient Classification System based on Nursing Activities in Comprehensive Nursing Care Units / 기본간호학회지

Purpose@#This study was done to develop and validate a scale for assessing nursing needs on comprehensive nursing care units and to derive a patient classification system based on nursing needs. @*Methods@#In this methodological study, the initial items were identified through a review of the literature and surveys from nursing staff regarding the nursing needs on comprehensive nursing care units. Content validity was evaluated by nine nursing staff members from comprehensive nursing care units. To evaluate the concurrent validity and derive a patient classification system, nursing needs scores, perceived nursing needs and perceived patient severity for 216 patient cases were evaluated by five nurses. These data were analyzed using Pearson‘s correlation coefficients, one-way ANOVA with Scheffépost hoc tests and K-means clustering. @*Results@#After evaluating content validity, the developed scale contained 64 activities in two domains: nursing intervention and assistance of daily living. Concurrent validity was verified by analyzing the differences in the nursing needs scores according to each group of perceived nursing needs and severity (p<.001) and by analyzing the correlation between the score of the developed scale and the National Health Insurance Service nursing need assessment scale (r=.68, p<.001). Based on the score of the developed scale, a patient classification system that classified nursing needs into four stages was derived. @*Conclusion@#The developed scale represented nursing activities in comprehensive nursing care units. It also provided specific data regarding the time spent on nursing activities. Therefore, it is expected to contribute toward establishing appropriate nurse staffing strategies to provide quality patient care.

Survey on the Education System for New Graduate Nurses in Hospitals: Focusing on the Preceptorship / 의학교육논단

The purpose of this study was to identify the current status of the new graduate nurses' education system, to establish guidelines for the education of new graduate nurses, and to provide dates for the improvement of the education system. Eighty-nine hospitals participated in the survey from July to August 2018. The questionnaires consisted of 24 items including general characteristics, new graduate nurses' education system, operation of nursing education teams, and preceptorship programs. The average duration of education/training for new graduate nurses was 57.3 days, and 26.6%–58.5% of general hospitals, hospitals, and long-term care hospitals had less than 30 days of new graduate nurses education/training, which is shorter than the education/training period of tertiary hospitals. There were new nursing education guidelines in 88.8% of all medical institutions and 58.6% of them had nursing education teams. Most of the personnel in charge of nursing education were not dedicated to education. A total of 87.6% of the all participating medical institutions had preceptorship programs, while 23.1%–33.3% of hospitals and long-term care hospitals did not. The breakdown of preceptorship programs showed 68.4% as “preceptor and preceptee are in charge of one team, and preceptor is teaching preceptee,” and 19.7% were “preceptor and preceptee are in charge of each team, and preceptor is teaching preceptee at the same time.” These results show that standardization and management of new graduate nurses' education programs is necessary. For the standardization and management of new graduate nurses' education programs, joint efforts of nurses' associations and support from the government should be encouraged.

Work-related Characteristics and Sleep Quality of Nurses in Comprehensive Nursing Care Units of Small-medium Sized Hospitals / 기본간호학회지

PURPOSE@#The purpose of this study was to examine the sleep quality of nurses in the comprehensive nursing care units of small-medium sized hospitals, and general and work-related characteristics associated with sleep quality of nurses.@*METHODS@#Participants were 312 nurses in comprehensive nursing care units of eight small and medium hospitals. The data were collected between June and August, 2018. A survey questionnaire including, sleep quality, general, and work-related characteristics of nurses was used. The data were analyzed using SPSS/WIN 23.0 program with descriptive statistics, independent t-test, and χ² test. Logistic regression analyses were used to identify factors associated with sleep quality.@*RESULTS@#The average score for sleep quality was 8.58±3.18 (0~21). Using a cut-off point of 8.5, 51.9% were poor sleepers. Sleep quality was associated with age (Odds Ratio [OR]=0.93, 95% Confidence Interval [CI]=0.88~0.99).@*CONCLUSION@#Age was identified as a factor associated with sleep quality among nurses in the comprehensive nursing care units at small and medium sized hospitals. Researchers and nurse administrators need to develop and provide strategies to improve young nurses' sleep quality.

Estimating free-living human energy expenditure: Practical aspects of the doubly labeled water method and its applications

The accuracy and noninvasive nature of the doubly labeled water (DLW) method makes it ideal for the study of human energy metabolism in free-living conditions. However, the DLW method is not always practical in many developing and Asian countries because of the high costs of isotopes and equipment for isotope analysis as well as the expertise required for analysis. This review provides information about the theoretical background and practical aspects of the DLW method, including optimal dose, basic protocols of two- and multiple-point approaches, experimental procedures, and isotopic analysis. We also introduce applications of DLW data, such as determining the equations of estimated energy requirement and validation studies of energy intake.