• Journal of Korean Academy of Nursing
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• v.39 no.4
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• pp.518-527
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• 2009

Purpose: The purpose of this study was to identify factors influencing quality of life in kidney transplant recipients and to understand the concrete pathway of influence and the power of each variable, so that integrated prediction model to promote the quality of life of kidney transplant recipients could be developed. Methods: The sample was composed of 218 patients in follow-up care after a kidney transplant in one of 4 university hospitals in the Honam area. A structured questionnaire was used and the collected data were analyzed for fitness, using the LISREL program. Results: This model was concise and extensive in predicting the quality of life of kidney transplant recipients. Conclusion: The research verified the factors influencing quality of life for kidney transplant recipients and it verified that direct factors such as perception of health state, compliance, self-efficacy, stress and indirect factors such as self-efficacy and social support can be important factors to predict the quality of life for recipients. Moreover, those variables represent 87% of variance in explaining quality of life in a prediction model so that the variables can be utilized to predict quality of life for kidney transplant recipients.

• Journal of Information Technology Applications and Management
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• v.29 no.2
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• pp.27-37
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• 2022

This study was attempted to identify the effects of physical and mental health on quality of life in middle-aged adults by gender. The Data were analyzed for 4,511 adults (2,260 men, 2,251 women) aged 45 to 65 who had no missing values in major variables based on the data of the 2016 Korea Health Panel. According to the data, the quality of life in middle-aged adults was .92 (±.08) for men and .91 (±.10) for women, which was significantly higher than that of women (t=3.54, p<.001). Factors affecting the quality of life in middle-aged men were subjective health status (β=.40, p<.001), stress (β=-.17, p<.001) and education level (β=.10, p<.001), and these variables explained 23% of the quality of life (F=227.28, p<.001). Factors affecting the quality of life in middle-aged women were subjective health status (β=.40, p<.001), stress (β=-.11, p<.001), education level (β=.05, p=.011) and anxiety (β=-.05, p=.022), and these variables explained 21% of the quality of life (F=145.42, p<.001). Based on the results of this study, the group with low level of education in middle-aged adults needs health management, education on how to relieve stress, and intensive management to improve the quality of life. In addition, the differentiated approach should be required to reduce anxiety in middle-aged women.

• Korean Journal of Adult Nursing
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• v.16 no.1
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• pp.49-59
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• 2004

Purpose: This study is a descriptive research study to measure the quality of life of those who suffer from breast cancer and take the chemotherapy. Method: The Subjects were 70 breast cancer patients who took the chemotherapy from September 2 to October 31, 2003. Quality of life was measured by Ferrell's measurements. Result: Quality of life indicators were spiritual domain=6.44, physical domain=5.45, social domain=4.15, and mental domain=3. 95. Whole quality of life was 4. 68 out of 10 points. The quality of life of those with a practicing religion was significantly higher than those without(F=3.88, P=0.026). Subjects who were less than 2 months post-operation had higher points in the physical domain than those who were more than 2 months post-operation (t= 2.76, p=0.007). Subjects who had less than 4 treatments of chemotherapy had higher points in the physical domain than those who had more than 4 treatments of chemotherapy (t=2.03, p=0.046). Conclusion: The results of this study serve as a meaningful source to promote quality of life of breast cancer patients who undergo chemotherapy. The results can also be applied to the development of education programs and counseling materials for chemotherapy patients. Health care strategy can also raise the quality of life of brest cancer patients.

• Korean Journal of Adult Nursing
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• v.26 no.3
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• pp.310-319
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• 2014

Purpose: The purpose of this study was to examine the relationships among perceived health, parental stress, social support, and quality of life of grandparent caregivers and to identify the factors influencing quality of their life. Methods: A descriptive correlational design was used. The data were collected by questionnaires from a convenience sample of 130 participants taking care of their grandchildren from ten children's daycare centers in Seoul, Korea from August to September, 2013. Data were analyzed using t-test, ANOVA, Pearson's correlation efficients, and multiple regressions. Results: Perceived health, parental stress and social support were correlated significantly with quality of life. As a result of the multiple regression analysis, education level, age of grandchildren, perceived health, parental stress and social support accounted for 48% of the variance in quality of life. Perceived health, parental stress, and social support were identified as factors influencing quality of life and the variable that most affected quality of life was perceived health. Conclusion: The results of the study indicate that health of people taking care of their grandchildren must be promoted while relieving their parental stress with appropriate social support in order to improve quality of life.

• Women's Health Nursing
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• v.14 no.4
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• pp.278-289
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• 2008

Purpose: This study was a survey to provide basic data about nursing interventions for improving the quality of life among family caregivers for the elderly by examining their care burden, burnout, and quality of life, and by confirming the correlation between each of them. Method: The subjects were 215 people in Seoul and Gyeonggi Province who understood the purpose of this study and participated voluntarily from April 1 to June 4, 2007. Data was analyzed by the SAS program. Result: 1. Concerning primary caregivers of the elderly, it was found that their care burden was slightly high, burnout was high and quality of life was good on the whole. 2. When it comes to the correlation among care burden, burnout, and quality of life among family caregivers, it was found that burnout increases in proportion to care burden, quality of life decreases as care burden increases, and bigger burnout leads to a lower quality of life. Conclusion: The quality of life among primary caregivers should be improved by reducing their care burden and burnout. Thereby, a priority might be considered for admission to nearby, comfortable nursing homes or failing that, home visiting services, rather than family support in the home.

• Korean Journal of Adult Nursing
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• v.18 no.1
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• pp.71-80
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• 2006

Purpose: This study was to investigate the factors influencing the quality of life of patients with hemophilia and to provide the data for health promoting intervention in order to improve their quality of life. Method: The subjects of this study were involved 186 male patients with hemophilia by convenience sampling. These results were analyzed statistically by frequency, percentage, t-test, ANOVA, Pearson Correlation Coefficient, and Stepwise multiple regression. Results: There were significant differences in the quality of life according to the frequency of bleeding. Quality of life showed negative relationships and health problems, bleeding, limitation of joint motion, and depression with stepwise Multiple Regression analysis for quality of life revealed that the most powerful predictor was depression. Depression, health problem, and limitation of joint motion accounted for 64.6% of the variance in the quality of life of patients with hemophilia. Conclusion: Therefore it is necessary to develop nursing interventions with these variables to increase the quality of life for patients with hemophilia.

• Journal of East-West Nursing Research
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• v.27 no.1
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• pp.87-93
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• 2021

Purpose: The purposes of this study were to investigate the relationship between stress, spirituality and quality of life and verify the effect of mediating spirituality in the relationship between stress and quality of life among nursing students. Methods: A total of 173 fourth-year nursing students who have experienced clinical practice participated in this study. Data were collected using structured questionnaires to measure the stress, spirituality and quality of life in nursing students from November 9 to December 9 in 2020. Data analysis was conducted using independent t-test, ANOVA, Pearson's correlation coefficient, and mediated regression analysis of Baron and Kenny. Results: The results show that stress were negatively correlated with quality of life (r=-.49, p<.001) and spirituality (r=-.40, p<.001). In addition, spirituality was positively correlated with quality of life (r=.56, p<.001) and had a partial mediation effect on the relationship between stress and quality of life. Conclusion: The results of this study indicate that in order to reduce stress and improve the quality of life of nursing students, it is necessary to actively apply a spirituality promotion program recognizing and developing nursing student's spirituality.

• Korean Journal of Adult Nursing
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• v.25 no.1
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• pp.13-23
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• 2013

Purpose: The purpose of this study was to investigate the factors that influence health-related quality of life in patients with atrial fibrillation. Methods: The subjects were 150 outpatients with atrial fibrillation who visited the cardiology clinic of a university hospital in U city. The instruments used for this study were Mhel Uncertainty in Illness Scale (MUIS), Center for Epidemiologic Studies-Depression Scale (CES-D), State Trait Anxiety Inventory (STAI), and the Short-Form-36 Health Survey (SF-36) Korean version II. The date were analyzed by ANOVA, Pearson-correlation coefficient, and hierachial multiple regression using SPSS/WIN 18.0. Results: The mean score of physical health-related quality of life (PCS) was $38.92{\pm}6.22$ and mental health-related quality of life (MCS) was $41.49{\pm}5.71$. Physical and Mental health-related quality of life had the significant correlations with uncertainty, anxiety and depression. In multiple regression analysis, physical health-related quality of life was significantly influenced by duration of disease, NYHA class, uncertainty. Mental health-related quality of life was significantly influenced by family income, NYHA class, anxiety and depression. Conclusion: These results suggest that these influencing factors should be consider in developing the nursing interventions to improve the healthrelated quality of life in patients with atrial fibrillation.

• Women's Health Nursing
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• v.12 no.2
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• pp.150-155
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• 2006

Purpose: This study was conducted to survey knowledge, depression, and quality of life of mothers with hemophilic children, and to provide basic data for a health promoting intervention improving their quality of life. Method: The subjects of this study were 140 mothers of hemophilic children by convenience sampling. The collected data were processed using SPSS program and analyzed using descriptive statistics, and Pearson correlation. Result: The knowledge of mothers with hemophilic children was 2.8 points out of 4 points. The depression of the subjects was 2.1 points out of 4 points. The quality of life of the subjects was 3.2 points out of 5 points. Results also showed a positive relationship between quality of life and knowledge (r=.45, p<.001) and a negatives relationship between quality of life and depression (r=-.41, p<.001). Conclusion: Knowledge and depression affect quality of life of mothers with hemophilic children. Therefore, it is necessary to develop a nursing intervention with these variables to increase the quality of life for mothers with hemophilic children.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.3 no.2
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• pp.183-199
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• 1996

The Purpose of this study is to develop and test a nursing model which can be applied to prediction of the quality of life for the patient receiving hemodialysis. A hypothetical model was constructed on Johns & Meleis's empowerment model framework which has 3 contsructs(stress, resource, empowerment). 6 Factors(perceived stress, self-esteem as personal resource, perceived social support as social resource, perceived fertigue, perceived health status & self efficacy as empowerment) were selected to pre dict the quality of life of receiving hemodialysis patients. 4 Factors(self-esteem, perceived social support, perceived health status & self efficacy) had direct effects on the quality of life significantly. Self-esteem had indirect effect on the quality of life via perceived heath status significantly. Perceived social support had indirect effect on the quality of life via self-effcacy significantly. Perceived stress had no direct and indirect effect on the quality of life significantly. Revised model from hypothetical model showed better fit to the data by eliminating unsignificant path. From results of this study we suggest that to improve quality of life of hemodialysis patient nurses provide nursing interventions which improve self-esteem, perceived social support, self-efficacy & perceived health status.