• Animal Bioscience
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• v.36 no.12
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• pp.1775-1784
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• 2023

Objective: The aim of this study was to reveal the role and regulatory mechanism of miR-188-5p in the proliferation and differentiation of goat muscle satellite cells. Methods: Goat skeletal muscle satellite cells isolated in the pre-laboratory were used as the test material. First, the expression of miR-188-5p in goat muscle tissues at different developmental stages was detected by quantitative reverse transcription polymerase chain reaction (qRT-PCR). In addition, miR-188-5p was transfected into goat skeletal muscle satellite cells by constructing mimics and inhibitors of miR-188-5p, respectively. The changes of differentiation marker gene expression were detected by qPCR method. Results: It was highly expressed in adult goat latissimus dorsi and leg muscles, goat fetal skeletal muscle, and at the differentiation stage of muscle satellite cells. Overexpression and interference of miR-188-5p showed that miR-188-5p inhibited the proliferation and promoted the differentiation of goat muscle satellite cells. Target gene prediction and dual luciferase assays showed that miR-188-5p could target the 3'untranslated region of the calcium/calmodulin dependent protein kinase II beta (CAMK2B) gene and inhibit luciferase activity. Further functional studies revealed that CAMK2B promoted the proliferation and inhibited the differentiation of goat muscle satellite cells, whereas si-CAMK2B restored the function of miR-188-5p inhibitor. Conclusion: These results suggest that miR-188-5p inhibits the proliferation and promotes the differentiation of goat muscle satellite cells by targeting CAMK2B. This study will provide a theoretical reference for future studies on the molecular mechanisms of skeletal muscle development in goats.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.113-122
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• 2017

The purpose of this study is to verify trust in supervisor, customer badness behavior have turnover intention influence on job embeddedness. Self-report questionnaire was completed by 188 clinical nurse May 1st to May 30th, 2016. and date analyzed using the IBM SPSS/WIN 21.0 program. As a result, The mean score of trust in supervisor is 3.20 points, customer badness behavior is 2.66 points, job embeddedness is 3.05 points, turnover intention is 3.39 points(out of 5). There were significant positive correlations between job embeddedness and trust in supervisor(r=.57, p<.001) and turnover intention(r=.19, p=.011) and negative correlations between Sacrifice sub-cale of job embeddedness and customer badness behavior(r=-.15, p=.037). The convergence factors with the effect on job embeddedness, trust in supervisor(${\beta}=.471$, p<.001), job satisfaction(${\beta}=.226$, p<.001), turnover intention(${\beta}=-.196$, p<.001), nursing satisfaction(${\beta}=-.169$, p=.005) explained 48.9% of the job embeddedness. therefore, nursing managers have to strategy increasing nurse trust in supervisor and job satisfaction and nursing satisfaction for job embeddedness and plan to lower the turnover intention at the organization level.

• Journal of Korean Academy of Nursing
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• v.52 no.6
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• pp.554-563
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• 2022

Purpose: This study aimed to determine how undergraduate nursing students' knowledge and health beliefs affected their COVID-19-related infection-prevention behaviors. Methods: This study used a descriptive survey. A total of 188 undergraduate nursing students from two universities in South Korea participated in this study. The data were collected from June 2020 to August 2020. Factors influencing infection-prevention behaviors were identified using multiple regression analysis. Results: The participants' mean knowledge level regarding COVID-19 was 84.05 ± 11.78 out of 100. The average health belief score was 2.80 ± 0.32 points out of 5. COVID-19-related preventive health behaviors were correlated with experiences of searching for COVID-19 information (r = .22, p < .01), perceived severity (r = .24, p < .01), perceived benefits (r = .29, p < .01), cues to action (r = .30, p < .01), knowledge (r = .27, p < .01), and perceived barriers (r = - .19, p < .05). Factors that significantly affected COVID-19-related preventive health behaviors were the participants' years of study, experiences regarding COVID-19 prevention education, perceived severity, perceived barriers, and cues to action. Conclusion: COVID-19-related preventive health behaviors are promoted by increasing awareness about the disease and promoting COVID-19 education in nursing curriculums.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1755-1764
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• 2013

This study was to identify factors influencing the job-related burnout of the nurses and caregivers in nursing homes. The participants in this study were 188 who were working as nurses (77) and caregivers (111) at five nursing homes in Seoul and Gyeonggi Province. Collected data were analyzed in independent t-test, Pearson's correlation coefficients, multiple stepwise regression using IBM SPSS Statistics 19.0. The nurse's job-related burnout was positively correlated with job-satisfaction(r=.333, p=.003), and stress(r=.484, p<.001), whereas caregiver's job-related burnout was positively correlated with stress(r=.458, p<.001). The factor influencing on nurse's job-related burnout was interpersonal relation stress and this factors explained 27.0% of the variance. In case of the caregivers, work-related stress was a factor influencing on job-related burnout and it explained 21.2% of the variance. On the basis of the results in this study, the improvement of working conditions, and the development of stress management program should be considered systematically.

• Journal of dental hygiene science
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• v.4 no.3
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• pp.141-148
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• 2004

This study was examed in order to determine influential factors of health promoting behavior on Dental Hygiene students the health promoting behavior. So examed students' health promoting behavior, self-efficacy, perceived benefit, perceived barrier, a health locus of control, self-esteem. A the result of this study were as follows: (1) Performance mean score in health promoting behavior was 2.60, self achievement score was 2.89, health responsibility score was 2.12, exercise score was 1.89, nutrition score was 2.45, interpersonal support score was 2.97, stress management score was 2.63. Performance mean score in self-efficacy was 2.56, perceived benefit was 3.45, perceived barrier was 2.32, a health locus of control score was 3.04, self-esteem score was 2.81. (2) Performance in health promoting behavior was significant differences in year, religion, economical level, experience of disease on family, perceived health status(p<0.05), perceived oral health status(p<0.001). Performance in self achievement was significant differences in year, economical level, perceived health status(p<0.05), religion, perceived oral health status(p<0.01). Performance in health responsibility was significant differences in year, religion, economical level, BMI(p<0.05) and experience of disease on myself, perceived oral health status(p<0.001). Performance in excercise was significant differences in mother's educational level, experience of disease on family, perceived oral health status(p<0.05) and nutrient was economical level, perceived oral health status(p<0.01), perceived health status(p<0.05). Performance in interpersonal relations was only significant differences perceived oral health status(p<0.05) and in stress management was year, perceived oral health status(p<0.05). (3) Performance in self-efficacy was significant differences in economical level, health status(P<0.05) and perceived health status, perceived oral health status(p<0.01). Performance in perceived benefit was significant differences in religion(p<0.05). Performance in perceived barrier was significant differences economical level, perceived oral health status(p<0.05), experience of disease on myself(p<0.01). Performance in a health locus of control was significant differences year(p<0.05), performance in a perceived oral health status(p<0.01). (4) Performance in health promoting behavior was significantly correlated with self-efficacy(r=0.376), perceived benefit(r=0.188), perceived barrier(r=-0.155), a health locus of control (r=0.064), self-esteem(r=0.318). (5) Self-efficacy was the highest factor predicting health promoting behavior.

• Korean Journal of Adult Nursing
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• v.17 no.2
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• pp.188-199
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• 2005

Purpose: To identify perceived importance and performance frequency of nursing interventions with nursing activities of 5 nursing interventions from the physiological domains of NIC used in the home health care nursing. Method: Five nursing interventions in the physiological domain of NIC were selected based on the previous finding. Data were collected from 85 nurses working in 54 home health care centers between August and October, 2004 using mailing survey(return rates : 41.5%). The questionnaire consisted of 96 nursing activities in 5 interventions with definitions, asking perceived importance and performance frequency of them. Result: Skin surveillance was perceived as the most important($3.52{\pm}0.36$) intervention and also performed most frequently($4.43{\pm}0.45$). All the nursing activities in skin surveillance appeared to be used frequently, which was rated over 4 out of 5 point Likert, while only 4 nursing activities in exercise therapy: joint mobility did. Correlations between perceived importance and performance frequency of 5 interventions were all significant (r=0.591-0.718, p=0.000). Conclusion: Identifying the use of particular interventions and nursing activities will help nurses simplify documentations and to deliver better care to the patients in home health care nursing.

• Journal of Korean Society of Forest Science
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• v.103 no.2
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• pp.182-188
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• 2014

Genetic diversity and genetic differentiation in six natural populations of Abies holophylla Max were investigated using ISSR marker system. From 6 ISSR primers, the average percentage of polymorphic loci was 85.6%, and the average expected heterozygosity ($H_e$) was 0.288. From the result of AMOVA, 94.4% of total genetic variation came from the differences among individuals within populations, and 5.6% was caused by those of among-populations. On the basis of Bayesian inference, genetic differentiation (${\theta}^{II}$ and $G_{ST}$) and inbreeding coefficient for all populations were 0.045, 0.038, and 0.509, respectively. The correlation between genetic distance and geographical distance was highly significant at the Mental's test (r = 0.74, P < 0.05). Six populations divided into two groups according to the results of UPGMA and PCA. One group included Namwon, Cheongdo and Mungyeong population. The other was Inje, Hongcheon and Pyeongchang population. Also, in Bayesian clustering analysis, 6 populations were divided into two clusters. But Cheongdo population was assigned into the other cluster unlike those of UPGMA or PCA. Taking the regions based on the results of the cluster analysis into consideration of AMOVA, 3.9% of genetic variation came from the regional difference. The dendrogram from UPGMA could provide the most genetically reasonable explanation for the distribution of Abies holophylla populations in South Korea.