• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.4189-4200
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• 2021

In this study, the relationship between the environmental radiation dose rate and meteorological variables was investigated with multiple regression analysis and big data of those variables. The environmental radiation dose rate and 36 different meteorological variables were measured on Ulleung Island, Republic of Korea, from 2011 to 2015. Not all meteorological variables were used in the regression analysis because the different meteorological variables significantly affect the environmental radiation dose rate during different periods, and the degree of influence changes with time. By applying the Pearson correlation analysis and stepwise selection methods to the big dataset, the major meteorological variables influencing the environmental radiation dose rate were identified, which were then used as the independent variables for the regression model. Subsequently, multiple regression models for the monthly datasets and dataset of the entire period were developed.

• Journal of Korean Public Health Nursing
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• v.14 no.1
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• pp.161-171
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• 2000

The purpose of this study was to investigate the factors influencing health promoting behavior and quality of life in the nursing students, to provide the basic data for health promoting intervention in order to improve quality of life. The subjects of this study were 199 nursing students, living in M city, during the period from May 18 to 25, 1999. The instruments for this study were the health promoting behavior scale developed by Walker et al.(1987), the quality of life scale by Ro(1988), the self efficacy scale by Sherer(1982), the health locus of control scale by Wallston et al. (1978) and the self esteem scale by Rogenberg(1965). The data were analyzed using descriptive statistics, Pearson correlation coefficients, stepwise multiple regression, t-test, ANOVA. The results of this study are as follows; 1. The health promoting behavior showed significant positive correlation with self efficacy, self esteem, internal health locus of control and quality of life. 2. The quality of life showed significant positive correlation with self efficacy, self esteem, internal health locus of control. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was self efficacy. A combination of self efficacy, self esteem, health locus of control and quality of life accounted for $41\%$ of the variance in health promoting behavior. 4. Stepwise multiple regression analysis revealed that the most powerful predictor of quality of life was self esteem. A combination of self esteem, self efficacy and health promoting behavior accounted for $40\%$ of the variance in quality of life. Based on the above findings, it is suggested to develop nursing intervention to improve Self Efficacy, Self Esteem of nursing students enhance health promoting lifestyle.

• Korean Journal of Hospice Care
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• v.6 no.2
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• pp.69-78
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• 2006

Purpose: This study was conducted to analysis relationship about quality of life and family burden of the home-based hospice patient families. Method: The subjects consisted of 94 families with home-based hospice patient. The ages of the subjects were 17-73 years with hospice patient who receivedhome visiting care and registered at 4 hospitals in Daegu and Kyung-Buk. The data was collected from March to November 2004. The instruments used for the study were Quality of Life Scale (GLS) and Family Burden Questionnaire (FBQ). The analysis was done using frequency, mean, standard deviation, correlation and stepwise multiple regression with SPSS WIN 11.0. Results: The results were as follows: 1. The mean score of family burden was 3.36 ($\pm0.55$). The highest mean score of family burden 6 factors were wellness of future 3.85($\pm1.10$), and the second was economic family burden 3.63($\pm0.97$). 2. The mean score of quality of life was 3.09 ($\pm0.48$). The lowest score of quality of life 6 factors were economic status 2.86($\pm0.54$), and the second was physical state and function 3.01($\pm0.62$). 3. In the home-based hospice patient families, family burden had significant negative correlation with quality of life(r=-0.25, p=0.012). 4. Emotional status accounted for 11% of family burden in the home-based hospice patient families by means of stepwise multiple regression. 5. Economical status accounted for 18 and age accounted for an additional 11% of quality of life in the home-based hospice patient families by means of stepwise multiple regression. Conclusion: The finding showed that family burden and quality of life of home-based hospice patient families were significantly negative correlation and the highest factor of family burden was wellness of future and the most important factor of quality of life was economic status.

• Journal of Korean Academy of Nursing
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• v.33 no.6
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• pp.762-771
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• 2003

Purpose: This study was undertaken in order to determine factors affecting health promoting lifestyle of elderly women. Method: The subjects were 299 elderly community residing women over the age 65 living in 2 large cities. The instruments used for this study were a survey of general characteristics, health promoting lifestyle(47items), perceived health status(6 items), self-efficacy(l7 items), and social support(18 items). The data was analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and Stepwise Multiple Regression. Result: The result of the study are as follows: The average item score for the health promoting lifestyle was 2.46, the highest score on the subscale was interpersonal support(M=2.83). A significant difference between age, education level, income, experience of smoking, alcohol, exercise, and health promoting lifestyle were found. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle was social support(55%). Conclusion: Social support accounted for 54% of the variance in health promoting lifestyle in the elderly women. Therefore, health promoting programs that increase social support should be developed to promote a healthy lifestyle of the elderly women.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.1 no.1
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• pp.133-140
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• 2002

The object of this paper is to predict the surface roughness using the experiment equation of surface roughness, which is developed with a full factorial design in turning. $3^3$ full factorial design has been used to study main and interaction effects of main cutting parameters such as cutting speed, feed rate, and depth of cut, on surface roughness. For prediction of surface roughness, the arithmetic average (Ra) is used, and stepwise regression has been used to check the significance of all effects of cutting parameters. Using the result of these, the experimental equation of surface roughness, which consists of significant effects of cutting parameters, has been developed. The coefficient of determination of this equation is 0.9908. And the prediction ability of this equation was verified by additional experiments. The result of that, the coefficient of determination is 0.9718.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.4
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• pp.597-603
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• 2006

Purpose: This study was to identify effect of nursing organizational culture on job satisfaction of preceptors. Method: The subjects were 73 preceptors who were working for the 4 of university hospitals in Seoul, Daejeon and Kyong Ki. This study was conducted from Aug to Oct 2005. The data was collected by questionnaires and were analyzed using descriptive statistics, pearson correlation coefficient, stepwise multiple regression. Result: Job satisfaction of preceptors were significantly correlated among nursing organizational culture. The stepwise multiple regression analysis on job satisfaction revealed that nursing organizational culture was a powerful predictor of job satisfaction. Conclusion: The findings indicate that nursing organizational culture is important for improving job satisfaction of preceptors. Therefore it is necessary to develop of good nursing organizational culture for successful preceptorship.

• Korean Journal of Adult Nursing
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• v.22 no.2
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• pp.182-189
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• 2010

Purpose: The purpose of this study was to identify predictors on drinking problems of university students. Methods: The participants were 359 students by convenience sampling in P city. Data were collected from October 15 to December 20, 2007 using drinking problems questionnaire, Global assessment of recent stress scale, CES-D and self-esteem scale. The collected data were analyzed by descriptive statistics, Pearson's correlation coefficient, and stepwise multiple regression. Results: There were positive correlations between stress and drinking problems, between depression and drinking problems. Also, there were negative correlations between stress and self-esteem, between depression and self-esteem. In stepwise multiple regression analysis, the most powerful predictor of drinking problems was depression. Conclusion: The results suggest that effective management of depression and stress can be considered when developing a prevention program of drinking problems for university students.

• Korean Journal of Adult Nursing
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• v.17 no.5
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• pp.772-782
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• 2005

Objectives: The purpose of this study was to investigate the relationship between Korean lifestyle characteristics and health status and to identify the variables influencing health in Korea. Methods: A cross-sectional descriptive correlational design was used to explore the lifestyle characteristics and health status of 397 Korean adults. Correlational analysis calculated the correlation between lifestyle and health status. To examine the relationship among demographic characteristics, lifestyle, and health status we used the t-test and one-way ANOVA. Stepwise multiple regression was conducted to examine the significant predictors of general health among subjects. Results: Positive correlations were seen between general health (GH) and the overall score and subscales of the Lifestyle. The stepwise regression model showed that vitality (VA), body pain (BP), nutrition, and occupation were significant variables influencing general health (GH). Conclusions: These findings provide evidence regarding the lifestyle patterns and healthstatus among Koreans. When planning intervention strategies for this population, exercise and physical activity should be principal focus areas.

• Korean Journal of Adult Nursing
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• v.19 no.5
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• pp.37-46
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• 2007

Purpose: The purpose of this descriptive study was to identify predictors on health promoting behaviors of university students. Methods: The participants were 310 students by convenience sampling in G city. The data were collected through a questionnaire given to the students between September 10 to November 6, 2006. Descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression were used to analyze the data. Results: The mean score for the level of health promoting behaviors and optimism was 2.60(${\pm} .31$) and 2.70(${\pm} .55$) respectively. The most frequently used coping skill was the pursuit of social support. There were positive correlations between health promoting behaviors and optimism, between health promoting behaviors and active coping skill, and between health promoting behaviors and passive coping skill. In stepwise multiple regression analysis, the most powerful predictor of health promoting behaviors was active coping skill. Conclusion: The results suggest that coping skills with optimism can be considered when developing a health promotion program for university students.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.702-711
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• 2004

Purpose: The purpose of this study was to identify the relationship among perceived stress, ways of coping, and health promoting behaviors in patients with chronic cardiovascular disease(CCVD). Method: Data was collected by questionnaires from 436 patients with CCVD in a General Hospital in Seoul. The data was analyzed using descriptive statistics, Pearson correlation coefficients, and stepwise multiple regression. Result: The health promoting behavior showed a significant positive correlation with self-efficacy and social support. Also, the health promoting behavior showed a significant negative correlation with perceived stress and symptoms of stress. The stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behaviors was symptoms of stress. Conclusion: A combination of symptoms of stress, social support, self-efficacy, and perceived stress account for 41% of the variance in health promoting behaviors of patients with CCVD. Data from this study suggest that symptoms of stress, social support, ways of coping, and perceived stress are significant influencing factors on health promoting behaviors of patients with CCVD.