• Korean Journal of Childcare and Education
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• v.14 no.4
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• pp.43-62
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• 2018

Objective: The purpose of this study was to examine the effect of child care teachers' happiness and social support on job performance. Methods: The subjects were 380 teachers employed in child care centers and kindergartens in Gyeonggi Province. Self-report questionnaires were used to investigate teachers' happiness, social support and job performance. The data were analyzed by frequency, percent, Pearson's correlation and stepwise regression with the SPSS program. Results: The results of this study were as follow. First, teachers' job performance was positively associated with teachers' happiness. The highest correlation sub-variable was purpose in life. Next were personal growth, self-acceptance, environmental mastery and autonomy. And the last was positive relationships with others. Teachers' job performance was positively associated with teachers' social support. The highest correlation sub-variable was evaluative support. Next were affective support and material support. And the last was informative support. Second, teachers' happiness and social support affected job performance. Evaluative support, which was a sub-variable of social support, affected job satisfaction. And personal growth, purpose in life, and self-acceptance, which were sub-variables of happiness, affected job satisfaction. Conclusion: This study revealed that teacher's happiness and social support were important factors for teachers job performance.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.4
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• pp.497-505
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• 2009

Purpose: The purpose of this study was to identify the level of quality of life and gender differences in predictors of quality of life among patients with coronary artery disease. Methods: Participants for this descriptive survey were 67 men and 65 women who signed informed consents. They were patients who had undergone coronary artery bypass graft surgery or percutaneous transluminal coronary angioplasty, or were on medication therapy after a heart attack. The Short-Form Health Survey (SF-36), Personal Resource Questionnaire-part (II), and the Center for Epidemiologic Studies Depression Scale were used to measure quality of life, social support, and depression respectively. Gender and age were controlled because they were reported as influencing factors in previous studies. Results: There were significant differences in depression and quality of life between men and women however, social support was not significantly different by gender. In multiple regression analysis, depression was a significant predictor and explained 51.9% of quality of life for men. In women, depression and social support were significant predictors and explained 50.9% of quality of life. Conclusion: Factors influencing quality of life for men and women were different, and therefore, nurses need to consider their patients' gender and use specific strategies to improve quality of life for patients with coronary artery disease.

• Korean Journal of Health Education and Promotion
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• v.21 no.2
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• pp.87-100
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• 2004

Purpose： This study was to identify the degree of health-promoting behavior and quality of life and the factors influencing quality of life of solitary elderly in rural areas. Method： The subjects of this study were 202 solitary elderly, and 65-89, who had been living in four rural areas. Data was collected through 4 questionnaires from July 10th, 2003 to August 30th, 2003. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Duncan's multiple-range test, Pearson correlation coefficient and Stepwise multiple regression with SPSS/PC. Results： The average item score for the health-promoting behavior was 2.43； the highest score on the subscale was self-actualization (M＝2.58) with the lowest being exercise (M＝2.05). 2) The average item score for the quality of life was 2.81； the highest score on the subscale was neighbor relationships (M＝3.27) with the lowest being economic conditions (M＝2.24). There were significant differences in the health-promoting behavior by educational level and leisure-activity, in the quality of life by age and religion. Quality of life scores correlated negatively with depression scores (r＝-.063, p＝.000) and positively with health-promoting behavior (r＝.144, p＝.000), social support scores (r＝.383, p＝.000). Stepwise multiple regression analysis for quality of life revealed that the most powerful predictor was health-promoting behavior. Health-promoting behavior, social support, depression and age explained 51.8％ of the variance. Conclusion： These results suggested that elderly people in rural areas with high degree of quality of life are likely to be high in health-promoting behavior and social support and low in depression. Therefore, it is necessary to develop health promotion programs in due consideration of health-promoting behavior and social support and depression in order to enhance the quality of life of solitary elderly in rural areas.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.4
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• pp.203-212
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• 2020

Purpose : Middle school students in the early stages of adolescents need balanced growth and development, and they are in the process of forming healthy lifestyles and are in an important period when they need to lay the foundation for a healthy life through active health management and guidance. Through systematic health-related policies and education, I intend to lay the groundwork for them to form healthy lifestyles in their high schools and adulthood. Methods : For this study, a survey was conducted from September 1 to October 30, 2019, and 300 middle school students based in Busan Metropolitan City were surveyed. Based on the analysis and results of preceding studies, a research model was set up to find out the effect of family support, health control activities and self-efficacy on health promoting behaviors and how health promoting behaviors affect the quality of life. Results : First, if family support is high, health promotion behavior and quality of life are analyzed to be high, so family support is affecting health promotion behavior and quality of life. Second, health control behavior had a significant effect on health promotion behavior, but did not affect the quality of life. Third, self-efficacy was having a significant effect on health promotion behavior and quality of life. Fourth, health promotion behavior was affecting the quality of life. Conclusion : In order to improve the quality of life, middle school students should first increase their health promotion behavior, and it is important to be supported by their family members and strengthen their self-efficacy as variables that increase their health promotion behavior. First of all, they should be given the infinite trust of the family and the strong belief that the family always supports them, and based on this, the student himself will be able to strengthen his or her self-efficacy. In addition, the process of physical and mental change of students comes to everyone, but during this process, members of society, such as families and schools, should send them support and trust so that they can grow up to be the decent members of society.

• Journal of Korean Public Health Nursing
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• v.17 no.1
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• pp.58-68
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• 2003

This study was conducted to explore the depression, anxiety, spouse support, and the difference of these variables according to the general characteristics and disease related characteristics in married women who had received gynecologic cancer treatment. The subjects consisted of 62 patients with cervical cancer, 18 patients with ovarian cancer, and 7 patients with endometrial cancer who were admitted to the department of obstetrics and gynecology, 3 education hospital in Seoul from January, 1996 to August, 1999. The data were collected from March 25 to July 25, 2000 by using a mailed questionnaire. The results were as follows : 1. The mean score of depression was 35.1 with the range from 20 to 76. The mean score of the anxiety was 38.6 with the range from 24 to 58. The mean score of the spouse support was 33.8 with the range from 12 to 48. 2. The score of depression was significantly different by the general characteristics: woman's education level(p=.040), economic level(p=.002), and the satisfactory level on married life(p=.009). The score of spouse support was significantly different by the general characteristics: woman's education level(p=.009), spouse's education level(p=.001), spouse's religion (p=.004), economic level(p=.008), and the satisfactory level on married life(p=.000). The scores of depression, anxiety, and spouse support were not significantly different by the disease related characteristics. 3. The score of depression had a positive correlation with anxiety(r=.731), and a negative correlation with spouse support(r=-.425). 4. The main influencing factors on the depression were economic level$(13.4\%)$ and satisfactory level on married life$(4.4\%)$. The main influencing factors on the spouse support were satisfactory level on married life$(23.6\%)$ and spouse's education level$(9.2\%)$. Based upon the above findings, the depression, anxiety, and spouse support of women who had received gynecologic cancer treatment were higher than healthy married women. The score of depression and anxiety had a negative correlation with spouse support. The factors influencing spouse support were satisfactory level on married life and spouse's education level. Therefore it is recommended that nursing intervention for women who had received gynecologic cancer treatment would be focused to improve spouse support for alleviating depression and anxiety level.

• Journal of Korean Academy of Nursing
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• v.40 no.1
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• pp.119-126
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• 2010

Purpose: The study was done to identify factors influencing the sleep of elderly women. Methods: Data were collected by questionnaires from 203 elderly women in Seoul and Gyeong-gi province. Measures were physical health state, family support, life satisfaction, sleep, depression, and quality of life. Data were analyzed using Pearson correlation coefficients, t-test, ANOVA, and stepwise multiple regression with SPSS/WIN 13.0 version. Results: The mean score for sleep for elderly women was 39.04. Sleep for elderly women according to religion, education level, spouses, and monthly income showed significant differences. Sleep for elderly women showed significantly positive correlations to physical health state, family support, life satisfaction, and quality of life. The significant factors influencing sleep of elderly women were physical health state, family support, depression, and quality of life, which explained about 70.4% of the variance. The strongest factors influencing the sleep was physical health state. Conclusion: The results suggest that in developing nursing interventions and practice for sleep pattern of elderly women spouses and family support should be considered.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.243-252
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• 2011

The study was to test hypothesis that social support and family function affect on life satisfaction, suggested the policy implications. I established research model based on reference review and took a questionnaire on the life satisfaction to the middle-aged and old-aged people over the age of fifty, who live in G city among the attendants at the program that was held by the local government. According to analytical results, social support and family function affected on social participation and life satisfaction. This study suggested theoretical and policy implications based on analytical results.

• The Journal of Korean Society for Radiation Therapy
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• v.14 no.1
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• pp.155-164
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• 2002

This descriptive correlation study was undertaken in order to investigate the relationship of family support and personality with quality of life in patients receiving radiotherapy for breast cancer and to provide basic data to help them improve a better quality of life. This subjects for this study were 74 out-patients undergoing a radiation therapy at C hospital in Kwang-Ju. The data were obtained using a convenience sampling technique. The tool of this study were Ro's qualify of life scale, Kang's family support scale and Wallston & others health locus of control scale. The data were analyzed using a SAS program for percentage, mean, standard deviation, Pearson Correlation Coefficient, GLM. The results were as fellows: 1. The total average score of the quality of life of the subjects was 137.22 (minimum score 38-maximum score 227), item mean score(range 1-5) was 3.15. The total average score of the family support of the subjects was 40.38(minimum score 21-maximum score 47), item mean score(range 1-5) was 3.69. The total average score of health locus of control of the subjects was 42.47(minimum score 28-maximum score 59), item mean score(range 1-6 was 3.69. 2. The results of the analysis of the relationship between the quality of life scores and the health locus of control were as follows : the total average score of the qualify of life of internal locus of control scale was 133.50, he total average score of the quality of life of external locus of control scale was 138.41. 3. There was positive correlation between the health locus of control and the quality of life(r=0.0722, p=0.5413). 4. There were significant positive correlation between family support and quality of life(r=0.2328, p=0.0399). The results of the analysis of the relationship between the each factor in the quality of life scores and family support were as fellows : There were significant difference between the self esteem factor(r=0.2974, p=0.0124), relationship with family factor(r=0.2657, p=0.0241)

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.641-648
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• 2020

This study was undertaken to provide basic data for the development of a mental health promotion intervention program, by confirming the mediating effects of social support in relation to the effect on the life stress and meaning of life in middle-aged women. The subjects of this study were 201 middle-aged women from D and K cities. The data were analyzed with descriptive statistics and Pearson's correlations using a statistical program for structural equation modeling (SEM); fitness of the final model was RMSEA 0.03, CFI 0.98, and NFI 0.95. The major learning from this study was that life stress has a direct effect on meaning of life and social support. Life stress (β=0.05, p< 0.001), meaning of life (β=0.05, p< 0.001), and social support (β=0.05, p< 0.001) have a significant and direct effect on depression. The findings also suggest that life stress indirectly affects the mediating effect between meaning of life and social support, and also depression of middle-aged women. We believe that results of this study encompass basic data that will aid in developing a program to promote the mental health of middle-aged women.

• Korean Journal of Social Welfare Studies
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• v.42 no.4
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• pp.413-443
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• 2011

The objectives of this study were to survey the level of social capital owned by self-support program participants, and to analyze the direct and indirect effects of social capital on their quality of life. Particularly because an individual's life is highly likely to be influenced by multiple aspects including human relation, this study purposed to determine the mediating effect of job satisfaction in the relation between social capital and the quality of life. The survey used a structured questionnaire, and in the contents of the questionnaire, the quality of life was selected as a dependent variable, social capital as an independent variable, and the job satisfaction as a mediating variable affecting the relation between social capital and the quality of life. The results of this study were as follows. First, as to the relation between self-support program participants' social capital and the quality of life, the network level and the normative level hand an important effect on the quality of life. Second, as to the relation between self-support program participants' social capital and job satisfaction, social capital had a negative effect on job satisfaction. Third, in the relation between self-support program participants' social capital and their quality of life, the mediating effect of job satisfaction was positive and this supports the spillover model among hypotheses on the relation between job satisfaction and the quality of life.