• Women's Health Nursing
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• v.23 no.3
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• pp.191-200
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• 2017

Purpose: The purpose of this study was to determine the factors that may affect quality of life of mothers who delivered premature infants. Methods: With survey design, data were collected from 145 mothers of premature infants with corrected age of 2 months to 12 months from January 9 to February 2, 2017. Quality of life was assessed with two measures of direct survey in the selected hospital and online survey. A self-report questionnaire was administered regarding personality of the mothers and the infants, postpartum depression, parenting stress, social support, and the quality of life. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients, and multiple regression. Results: The quality of life of the mothers of the premature infants was influenced by postpartum depression, parenting stress, parents-infant dysfunctional interactions, and social support accounted for 65% of the variance. Conclusion: These results indicate that early screening and continuous management of postpartum depression during postpartum period are important to improve the quality of life of the mothers of the premature infants. Education program and information and social support systems need to be developed to monitor mother-infant interaction and their role development.

• Journal of the Korean Home Economics Association
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• v.36 no.4
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• pp.163-178
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• 1998

This study is to identify the influence of dual-earner couples' job related variables on marital satisfaction and quality of life. For the data set 228 dual-earner couples living in Pusan, Korea were chosen. The data were analyzed using M, SD, t-test, one-way ANOVA, scheffe test, and path analysis. The findings of this study are as follows; First, the level of marital satisfaction and quality of life are higher for husbands than wives. Second, for husbands, the level of marital satisfaction were differed by husbands' housework participation, husbands' support, and job satisfaction. Whereas for wives, the level of marital satisfaction were differed by husbands' house work participation, husbnand's job stressorors, and wives' employment motivation. Third, for husbands, the level of quality of life were differed by husbands' housework participation, husbands' support, job satisfaction, and husbands' job stressors. Whereas for wives, the level of quality of life were differed by income, husbands' support, job satisfaction, working hours, husbands' job stressorors, and wives' employment motivation. Fourth, for husbands, marital satisfaction, job satisfaction, and working hours have significant direct effect on quality of life. Besides, husbands' job stressors, and husbands' and husbands' housework participation, and job satisfaction are indirectly associated with quality of life.

• The Korean Journal of Health Service Management
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• v.8 no.1
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• pp.75-86
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• 2014

The purpose of this study was to examine the factors affecting quality of life among elderly people with type 2 diabetes mellitus (DM) in a community. The design of this study was an exploratory survey. The subjects were 268 adults aged over 65 years with DM in a community. The data were collected from July to October, 2011 and analyzed by descriptive statistics, Pearson's correlation coefficient, and stepwise multiple regression by using SPSS/WIN 20.0 program. The quality of life was positively associated with self care behavior (r=.226, p<.001), self-efficacy (r=.323, p<.001), and social support (r=.345, p<.001). However, quality of life had moderately negative correlation with depression (r=-.445, p<.001). Among the variables, depression, social support, and self-efficacy were explanatory factors accounting for 23.9% of quality of life. These findings suggest that depression and self-efficacy are important factors affecting quality of life in the elderly with DM and it can be improved by strengthening social support.

• Journal of Home Health Care Nursing
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• v.30 no.3
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• pp.243-251
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• 2023

Purpose: The aim of this descriptive study was to identify factors influencing quality of life among family caregivers of non-cancer patients at the end-of-life stage. Methods: A cross-sectional survey was conducted using a questionnaire. Participants included 172 family caregivers caring for non-cancer patients. Data were collected from April to May 2016 and analyzed with descriptive statistics, an independent t-test, one-way ANOVA, Pearson's correlation coefficient, and a hierarchical regression analysis using the SPSS/WIN 24.0 program. Results: The mean of the participants' quality of life was 51.70±9.98. Factors influencing quality of life among family caregivers were spiritual care (𝛽=-.45, p=.021), coordination among family members or relatives (𝛽=-.27, p=.029), and psychological support (𝛽=-.04, p=.031). The explanatory power of the model was 21.0%. Conclusion: The findings of this study suggest that care needs; spiritual care, coordination among family members or relatives, and psychological support are important factors for family caregivers' quality of life. To improve quality of life among family caregivers who are taking care of non-cancer patients at the end-of-life stage, national systems establishing comprehensive support considering the respective care needs of patients are crucial.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.3
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• pp.58-65
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• 2016

This study analyzed the structural weld strength for a door hinge for a field artillery ammunition support vehicle. In order to determine the optimal conditions, we measured the modal analysis and analyzed the leg length of a rear door hinge. From these methods, we acquired the vibration frequency of normal mode and the optimal welding leg length conditions. It was possible to obtain a structural stability for a rear door hinge of the field artillery ammunition support vehicle. In the future, this should be used as a reference source for the weld strength analysis of high vibration and high weight structures for another welding system design.

• Perspectives in Nursing Science
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• v.9 no.2
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• pp.102-110
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• 2012

Purpose: The purpose of this study was to investigate the factors that influence health-related quality of life (HRQoL) in community-dwelling older adults. Methods: The participants were 133 elderly people dwelling in a community. Data were analyzed using descriptive statistics, Pearson's correlation coefficients, and Stepwise multiple regression with SPSS. Results: The predictors of quality of life in the elderly were depression, physical symptoms, and social support. Depression and physical symptoms had a significant negative correlation with HRQoL and social support had a significant positive correlation with HRQoL. Among them, depression was shown as the most significant predictor of HRQoL in the elderly ($R^2$=.573, p<.001). Conclusion: These results indicate that strategies to relieve depression should be integrated in interventions to improve the QoL of older adults dwelling in a community residence.

• Asia pacific journal of information systems
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• v.9 no.1
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• pp.143-163
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• 1999

This study investigates the effect of group size on group performance, here the quality of group decision, Four effects are proposed and tested in a field experimental setting : (1) the relationship between the group size and the distribution of individual's problem-solving ability ; (2) the change of the group decision quality as group size increases ; (3) the relationship between the group decision quality and the quality of the best/worst member as group size increases ; (4) the relationship between the group decision quality and the average quality of individuals in the group as group size increases. Data showed that contrary to the exiting results, group decision quality was not improved with the group size. Rather, it showed a little tendency that group decision quality was worsened with the group size. Data also showed that consensus-oriented group decision making process produced the compromised output. Thus, group decision quality was not better than the average group members'. The opinion of the best member was not accepted. The implications of the findings are discussed for the development of a Korean GSS.

• 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 muscle and joint health
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• v.7 no.1
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• pp.63-76
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• 2000

The aim of this study was to investigate the difference in the level of ADL & QOL by family support in the patients with rheumatoid arthritis. The subjects of the study consisted of fifty-six outpatients with rheumatoid arthritis at a university hospital in Taegu. The instrument used in this study were the family support scale developed by Kang(1984), the ADL scale by Katz et al.(1970) and Barthel(1973), the QOL scale developed by Jo(1993). Data was analysed using descriptive statistics, Pearson Correlation, Chi-square, ANOVA with SPSS program. The major findings are as follows : 1. There was not significant differences in the level of ADL by family support in the patients with rheumatoid arthritis(F=.436, p=.649). 2. There was significant differences in the level of QOL by family support in the patients with rheumatoid arthritis(F=3.782, p=.029). This study showed that the higher level of family support contributed to the better level of QOL in the patients with rheumatoid arthritis. It is recommended to promote the level of family support of rheumatoid arthritis patients with low family support QOL.

• Journal of Hospice and Palliative Care
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• v.3 no.2
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• pp.144-151
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• 2000

Purpose : This investigation was to identify the relationship of social support, stress, health and quality of life in caregivers of home-stay cancer patient. Method : We used a questionnaire and obtained data from the records of 79 caregivers of home-stay cancer patient in a community. Window SPSS-PC was used for the data analysis and the statistical method used were the t-test, ANOVA and Pearson's correlation coefficient. Result : The mean score of family support(3.24) was higher than nurse's support(3.03). The mean score of stress was 3.52 and that of health status was 2.98. The mean score of quality of life was 2.34. The health status of caregivers of cancer patient was influence by age(F=3.17, p=0.018) and education(F=3.59, p=0.032). There was a correlation between nurse's support and family support(r=.263, p<0.05). There was a correlation between stress and health status(r=0.597, p<0.01). The quality of life was correlated with stress(r=-.678, p<0.01) and health status(r=-0.741, p<0.01). Conclusion : The above result indicate that we must consider of social support, stress and health status to promote of quality of life of the caregiver of cancer patient.