• Journal of Korean Academy of Nursing Administration
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• v.5 no.1
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• pp.77-86
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• 1999

The purpose of this study is to look into nurse's legal duty and to analyze influencing factors, by reading through precedents in nursing-related malpractice cases. 157 clinic nurses and 40 head nurses who were working in 3 university hospitals in the area of Seoul and KyongKi province were surveyed with pre-set questionnaires which were based on 20 cases and to compare precedents with nurses' attitudes. Independent variables were demographic characteristics, job characteristics, experience and education, and personal characteristics. Dependent variables were the extents of understanding in their duty. To analyze the extent of duty understanding t-text. ANOVA, and multiple regression were performed according to the characteristics of each study subject. Main findings are as follows; 1. $X^2$ test was performed for each hospitals and job category. The existence of religion and job-related advisers were significantly different according to hospitals and job categories. The existences of the orientation for nursing, education, and meeting were significantly different according to hospitals. 2. The extent of duty understanding according to the subject characteristics was assessed by means of median. Each case was given the median. 12 cases(46%)out of 26 cases demonstrated the median of more than 6 showing high extent of understanding. 3. When $X^2$ test was performed. the extent of duty understanding was significantly different in the areas of marriage status. the existence of meetings. and the experience of having dispute. When multiple regression(stepwise method) was performed, above variables were not statistically significant. 4.As result of comparative analysis on precedents and nurse's attitudes. it is 4 cases that nurse's attitudes is more active than precedents and it is 9 cases that nurse's attitudes is more passive than precedents and it is 4 cases that nurse's attitudes is parallel with precedents. This study does not present statistical model which can integrate all the cases. The significance of this study is in that it generalized and assessed the nurses' understanding of duty based on nursing -care which was legally disputed and compared nurse's attitude with precedents.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.4
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• pp.473-484
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• 2016

Purpose: The purpose of this study was to identify the relations among appropriateness of work, competency on student suicide and attitude toward suicide in health teachers. Methods: This study was a cross-sectional descriptive one. The subjects were 193 health teachers. Self-administered questionnaires were used to measure the variables of this study. Descriptive statistics, independent t-test, one way ANOVA, Pearson correlation, and stepwise multiple regression with SAS 9.3 software were used for the data analysis. Results: The attitude score toward suicide ranged from 1.47 to -1.03. The average score of appropriateness of work and competency related to student suicide were 2.34 and 2.81 respectively. Associated factors with competency related to student suicide among health teacher were appropriateness of work related to student suicide, two items of attitude toward suicide(suicide is an acceptable means to end an incurable illness and people who commit suicide are usually mentally ill), education level, education experience on suicide prevention and management, and the adjusted $R^2$ of the regression model was 34.3%. Conclusion: Health teachers were not tolerable to student suicide. However, they evaluated themselves as low in the appropriateness and competency to the work on student suicide, especially in screening and counselling of high risk groups. The results of this study suggest that it is necessary to develop education programs about counseling and intervention on student suicide for health teachers.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.3
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• pp.1261-1264
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• 2016

Background: In breast cancer (BC), it has been suggested that nuclear overexpression of p53 protein might be an indicator of poor prognosis. The aim of the current study was to evaluate the expression of p53 BC in Kurdish women from the West of Iran and its correlation with other clinicopathology figures. Materials and Methods: In the present retrospective study, 231 patients were investigated for estrogen receptor (ER) and progesterone receptor (PR) positivity, defined as ${\geq}10%$ positive tumor cells with nuclear staining. A binary logistic regression model was selected using Akaike Information Criteria (AIC) in stepwise selection for determination of important factors. Results: ER, PR, the human epidermal growth factor receptor 2 (HER2) and p53 were positive in 58.4%, 55.4%, 59.7% and 45% of cases, respectively. Ki67 index was divided into two groups: 54.5% had Ki67<20% and 45.5% had Ki67 ${\geq}20%$. Of 214 patients, 137(64%) had lymph node metastasis and of 186 patients, 122(65.6%) had vascular invasion. Binary logistic regression analysis showed that there was inverse significant correlation between lymph node metastasis (P=0.008, OR 0.120 and 95%CI 0.025-0.574), ER status (P=0.006, OR 0.080, 95%CI 0.014-0.477) and a direct correlation between HER2 (P=005, OR 3.047, 95%CI 1.407-6.599) with the expression of p53. Conclusions: As in a number of studies, expression of p53 had a inverse correlation with lymph node metastasis and ER status and also a direct correlation with HER2 status. Also, p53-positivity is more likely in triple negative BC compared to other subtypes.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.723-730
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• 2003

In general, well log and core data have been utilized for reservoir characterization. These well data can provide valuable information on reservoir properties with high vertical resolution at well locations. While the seismic surveys cover large areas of field but give only indirect features about reservoir properties. Therefore it is possible to estimate the reservoir properties guided by seismic data on entire area if a relationship of seismic data and well data can be defined. Seismic attributes calculated from seismic surveys contain the particular reservoir features, so that they should be extracted and used properly according to the purpose of study. The method to select the suitable seismic attributes among enormous ones is needed. The stepwise regression and fuzzy curve analysis based on fuzzy logics are used for selecting the best attributes. The relationship can be utilized to estimate reservoir properties derived from seismic attributes. This methodology is applied to a synthetic seismogram and a sonic log acquired from velocity model. Seismic attributes calculated from the seismic data are reflection strength, instantaneous phase, instantaneous frequency and pseudo sonic logging data as well as seismic trace. The fuzzy curve analysis is used for choosing the best seismic attributes compared to sonic log as well data, so that seismic trace, reflection strength, instantaneous frequency, and pseudo sonic logging data are selected. The relationship between the seismic attribute and well data is found out by the statistical regression method and estimates the reliable well data at a specific field location derived from only seismic attributes. For a future work in this study, the methodology should be checked an applicability of the real fields with more complex and various reservoir features.

• The Journal of Korean Physical Therapy
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• v.25 no.4
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• pp.204-209
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• 2013

Purpose: Children with cerebral palsy generally have a high incidence of respiratory problem, resulted from poor coughing, airway clearance problem, respiratory muscle weakness, kyphoscoliosis and so forth. The purpose of this study is to investigate the possible factors that can be affected to forced vital capacity (FVC) in children with cerebral palsy. Methods: Total thirty six children with diplegic and hemiplegic cerebral palsy were recruited in this study. They were evaluated by general demographic data (i.e., age, gender, body mass index (BMI)) and variables related to respiratory functions (i.e., chest mobility, waist mobility, maximal phonation time, and maximum inspiratory/expiratory pressure (MIP/MEP)). The correlation between forced vital capacity and the rested variables were analyzed, and multiple regression with stepwise method was conducted to predict respiratory function, in terms of FVC as the dependent variable, and demographic and other respiratory variables as the independent variable. Results: FVC showed a significant correlation with waist mobility (r=0.59, p<0.01), maximal phonation time (r=0.48, p<0.05), MIP (r=0.73, p<0.01), and MEP (r=0.60, p<0.01). In addition, the multiple regression analysis model indicated that FVC could be predicted by the assessment of each waist mobility and MIP. Conclusion: These finding suggest that respiratory function is related to body size and respiratory muscle strength, and that BMI, waist mobility, and MIP can be predictable factors to affected respiratory function in term of FVC.

• Journal of muscle and joint health
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• v.25 no.2
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• pp.92-103
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• 2018

Purpose: This study aimed to identify factors affecting the quality of life of the elderly people with chronic musculoskeletal pain. Methods: The data were collected from 307 older adults aged 65 years or older with chronic musculoskeletal pain, who visited senior welfare centers in two cities. We used self-rated questionnaires including NRS for pain, WHOQOL-BREF for quality of life, Pain Response Inventory for coping responses to pain, and MSPSS for social support. Stepwise multiple regression analysis were performed using SPSS/WIN 23.0 to identify factors affecting the study subjects' quality of life. Results: The regression model explained 43% of quality of life, which was statistically significant (F=34.11, p<.001). Educational level of high school (${\beta}=.13$, p=.006), pain (${\beta}=-.13$, p=.013), restriction of function (${\beta}=-.13$, p=.028), accommodative pain coping (${\beta}=.24$, p<.001), family support (${\beta}=.18$, p<.001), colleague's support (${\beta}=.25$, p<.001), and perceived health status (${\beta}=.25$, p<.001) were identified as influential factors on subjects' quality of life. Conclusion: Developing integrative interventions is necessary to improve accommodative pain coping skills and to engage family and colleague in support for positive perception of older adults' health status and management of symptoms.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.8-17
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• 2014

In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team's records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(= 3 datasets${\times}$7 techniques) prediction scenarios, the most accurate model was obtained from the random forest technique based on the binary dataset, which prediction accuracy was 84.14%. It was also observed that using the ratio and the binary dataset helped to build better prediction models than using the raw data. From the capability of variable selection in decision tree, random forest, and stepwise logistic regression, we found that annual salary, earned run, strikeout, pitcher's winning percentage, and four balls are important winning factors of a game. This research is distinct from existing studies in that we used three different types of data and various data mining techniques for win-loss prediction in Korean professional baseball games.

• The Journal of Korean Society for School & Community Health Education
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• v.12 no.2
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• pp.43-67
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• 2011

Objectives: The purpose of this study was to analyze factors affecting school life adjustment of athletes in middle and high school. Methods: The data in this study came from the survey which conducted to 500 students of physical education high school athletes and elite athletes in general school from the beginning of December 2009 to the end of January 2010 in Seoul and Kyunggi. Finally 436 cases was used. The dependant variable in this study was school life adjustment. And the independent variables were socio-demographic factors, stress and depression factors, social support factors. The analysis methods were T-test, ANOVA, correlation analysis, stepwise multiple regression analysis by using SPSS Ver. 12.0. Results: First, there was a statistically significant result between school life adaptation and sex, family circumstances, life satisfaction variables Second, there was a negative correlation between social support and stress, depression. Third, there was a negative correlation between school life adjustment and some stress factors, all depression factors. Also relationship between school life adjustment and social support showed a positive correlation. Fourth, Taking a look at the impact on school life adjustment, family factors and practical environmental factors in the stress factors and the feeling of worthlessness in the depression factors appeared to influence negatively. Also teachers' support in the social support factors showed positive effects. Explanatory power of the final regression model was 25.6%. Conclusions: The first step in order to improve the school life adjustment of athletes in middle and high school is the teachers' support. Athletes in middle and high school can have capability, responsibility, initiatives through teachers' attention and affection. The effective prevention education and health education programs on stress and depression should be introduced and carried out in the health education programs actively for student athletes to be free from stress, depression.

• Safety and Health at Work
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• v.6 no.4
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• pp.268-278
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• 2015

Background: This study aimed to assess the whole-body vibration (WBV) exposure among large blast hole drill machine operators with regard to the International Organization for Standardization (ISO) recommended threshold values and its association with machine- and rock-related factors and workers' individual characteristics. Methods: The study population included 28 drill machine operators who had worked in four opencast iron ore mines in eastern India. The study protocol comprised the following: measurements of WBV exposure [frequency weighted root mean square (RMS) acceleration ($m/s^2$)], machine-related data (manufacturer of machine, age of machine, seat height, thickness, and rest height) collected from mine management offices, measurements of rock hardness, uniaxial compressive strength and density, and workers' characteristics via face-to-face interviews. Results: More than 90% of the operators were exposed to a higher level WBV than the ISO upper limit and only 3.6% between the lower and upper limits, mainly in the vertical axis. Bivariate correlations revealed that potential predictors of total WBV exposure were: machine manufacturer (r = 0.453, p = 0.015), age of drill (r = 0.533, p = 0.003), and hardness of rock (r = 0.561, p = 0.002). The stepwise multiple regression model revealed that the potential predictors are age of operator (regression coefficient ${\beta}=-0.052$, standard error SE = 0.023), manufacturer (${\beta}=1.093$, SE = 0.227), rock hardness (${\beta}=0.045$, SE = 0.018), uniaxial compressive strength (${\beta}=0.027$, SE = 0.009), and density (${\beta}=-1.135$, SE = 0.235). Conclusion: Prevention should include using appropriate machines to handle rock hardness, rock uniaxial compressive strength and density, and seat improvement using ergonomic approaches such as including a suspension system.

• Anxiety and mood
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• v.18 no.1
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• pp.17-25
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• 2022

Objective : The aim of this study was to investigate the prevalence of anxiety symptoms and its association with psychological factors in patients with hypertension. Methods : The Participants included 124 patients with hypertension. Anxiety symptoms were evaluated by the Hospital Anxiety and Depression Scale. Socio-demographics, perceived stress, state-trait anger, life satisfaction, and ego resiliency were assessed. Stepwise multiple regression analyses were carried out to examine the impact of perceived stress, state-trait anger, and life satisfaction on anxiety symptoms. In addition, moderated regression analysis was performed to explore the moderating effect of ego resiliency between perceived stress and anxiety symptoms. Results : A total of 17 subjects (13.7%) were identified as having anxiety symptoms. Higher perceived stress and state-trait anger, and lower life satisfaction were found to be significant correlates of anxiety symptoms. In the final model, higher levels of perceived stress (β=0.378, p<0.001) and trait anger (β=0.320, p<0.001) were related to higher levels of anxiety symptoms, while a higher level of life satisfaction (β=-0.166, p=0.025) was associated with a lower level of anxiety symptoms. Further, ego resiliency buffered the negative effect of perceived stress on anxiety symptoms. Conclusion : This study demonstrated the prevalence of anxiety symptoms and associated psychological factors among patients with hypertension. Our findings suggest that improving life satisfaction and ego-resiliency as well as controlling stress and anger may be important in the management of anxiety symptoms in patients with hypertension.