• Asian Pacific Journal of Cancer Prevention
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• v.15 no.22
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• pp.9753-9757
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• 2014

Purpose: To study the quality of life and to identify associated factors among breast cancer patients undergoing treatment in national cancer centers in Nepal. Materials and Methods: One hundred breast cancer patients were selected and interviewed using a structured questionnaire. European Organization of Research and Treatment of Cancer EORTC-QLQ-C30 and EORTC-QLQ-BR23 were used to assess quality of life and modified Medical Outcome Study -Social Support survey(mMOS-SS) was used to assess social support. Only multi-item scales of EORTC C30 and BR23 were analyzed for relationships. Independent sample T-tests and ANOVA were applied to analyze differences in mean scores. Results: The score of global health status/quality of life (GHS/GQoL) was marginally above average (mean=52.8). The worst performed scales in C-30 were emotional and social function while best performed scales were physical and role function. In BR-23, most of the patients fell into the problematic group regarding sexual function and enjoyment. Almost 90% had financial difficulties. Symptom scales did not demonstrate many problems. Older individuals, patients with stage I breast cancer and thosewith good social support were found to have good GHS/GQoL. Of all the influencing factors, social support was established to have strong statistical associations with most of the functional scales: GHS/GQoL (0.003), emotional function (<0.001), cognitive function (0.020), social function (<0.001) and body image function (0.011). Body image was significantly associated with most of the influencing factors: monthly family income (0.003), type of treatment (<0.001), type of surgery (<0.001), stage of cancer (0.017) and social support (0.011). Conclusions: Strategies to improve social support of the patients undergoing treatment should be given priority and financial difficulties faced by breast cancer patients should be well addressed from a policy making level by initiating health financing system.

• The Journal of Korean Academic Society of Nursing Education
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• v.17 no.3
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• pp.514-523
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• 2011

Purpose: The purpose of this study was to identify the factors affecting the subjective quality of life among college students from China. Methods: The research design was a descriptive survey design using convenience sampling. Data was collected by using a self-questionnaire completed by 304 Chinese students located in three cities, namely, Seoul, Gangneung, and Seosan. ANOVA, Pearson correlation coefficients and hierarchical multiple regression with the SPSS Win 12.0 Program were used to analyze the data. Results: The average score on subjective quality of life was $3.59{\pm}0.43$. There were significant differences in the subjective quality of life according to length of stay, type of program, and health status. The subjective quality of life had significant negative correlation with acculturative stress and positive correlation with social support. The explained variance for the subjective quality of life was 51.5%. Variables on health status, guilt feelings, other acculturative stress, and social support significantly predicted the degree on subjective quality of life. Conclusion: Findings on this study provide a comprehensive understanding on the subjective quality of life and related factors for Chinese students in Korea. However, further studies with a larger random sample and more detailed research design is necessary.

• Women's Health Nursing
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• v.16 no.1
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• pp.10-19
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• 2010

Purpose: The purpose of this study was to investigate the relationship among family support, stress and quality of life according to the phases of illness in breast cancer patients. Methods: A descriptive correlational study was employed with 121 breast cancer patients. The data was collected by using self reported questionnaire. Self reported data was collected by using the Family support scale, Perceived Stress Scale (PSS), and EORTC QLQ-BR23. Phases of illness consisted 1st phase, 2nd phase, 3rd phase. Results: The score of family supporting, stress and quality of life showed a statically differences according to the phase of illness. Family supporting and stress had negative relation in the first, second and third phase. Family supporting and quality of life in function area had positive relation in the first, second phase. There was no relation between family supporting and quality of life in symptom area. Stress, quality of life in symptom area and quality of life in function area had correlation in the first, third phase. Conclusion: This study suggest that the new nursing implementation should be considered according to the phase of illness in order to improve the family supporting and quality of life and reduce the stress in breast cancer patients through this study results.

• 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 Information Technology Services
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• v.10 no.2
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• pp.235-245
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• 2011

Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

• Journal of Home Health Care Nursing
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• v.17 no.2
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• pp.144-155
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• 2010

Purpose: This study investigated the factors affecting the quality of life (QOL) of the primary caregivers of home health care patients. Method: The subjects were 110 primary caregivers of patients who were receiving home health care from two home health care centers affiliated with general hospitals in Seoul. Data collection was conducted using five questionnaires. Results: Positive relationships were evident between QOL and social support and perceived health status of the primary caregiver. Negative relationships were evident between QOL and burden and depression. Multiple linear regression analysis for QOL revealed that the most powerful influencing factor was social support. Social support, burden, and depression explained 34.3% of the variance. Conclusion: Burden, depression, and social support are related with QOL of primary caregivers of home health care patients. Nursing intervention strategies directed at this caregiver population are needed.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.12 no.2
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• pp.231-239
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• 2005

Purpose: Investigation of the quality of life (QoL), family support and associated variables in patients with Parkinson's disease. Methods: The data were collected from 102 patients registered in the neurology department of C University Hospital. QoL was assessed using the Parkinson's Disease Questionnaire (PDQ-39) and Family Support Scale. Modified Hoehn and Yahr (H & Y) stages were obtained from an interview and clinical examination by a neurologist. Collected data were analyzed using the SAS program. Results: The participants' PDQ-39 average score was 34.34. The scores were significantly higher for participants who were older, who had a job and who were over 2.5 on the H & Y stage. The average for Family support scores was 41.6. Participants who had a living spouse, religion and a job scored higher than those who did not. PDQ-39 score had a positive correlation with age, job, and H & Y stage. Family support and PDQ-39 score were also positively correlated. Conclusion: It is recommended a program involving family that improves family support and be developed and that it be varied according to different H & Y stages, in order to improve QoL.

• Research in Community and Public Health Nursing
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• v.31 no.1
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• pp.24-33
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• 2020

Purpose: The purpose of this study was to examine the mediating effect of self-esteem and social support on the relationship between anxiety and health-related quality of life (HRQoL) in the elderly. Methods: The Korea adult psycho-social anxiety survey data were collected from August to September 2015 by the Korea Institute for Health. The subjects were 1,035 elderly people who were aged 65 or older at the time of the data survey. The data were analyzed by t-test, chi-square, Pearson correlation coefficient, and parallel redundant mediated model for PROCESS macro using SPSS 23.0. Results: They scored an average of 37.93±7.58 for anxiety, 28.59±3.45 for self-esteem, 17.25±4.11 for social support, and 0.88±0.11 for HRQoL. The direct effect of anxiety on HRQoL and the indirect effect of anxiety mediated with self-esteem and social support about HRQoL were statistically significant. Conclusion: These results indicate that in order to increase the HRQoL of the elderly, it is necessary to develop an intervention program that focuses not only on reducing anxiety but also on improving self-esteem and social support.

• Journal of Korean Clinical Health Science
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• v.4 no.4
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• pp.782-789
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• 2016

Purpose. The purpose of this study was to examine the related factors of quality of life (QOL) among middle-aged male. Method. The participants in this study were 144 middle aged male. Between October and November 2016, data were collected through questionnaires. Data analysis was performed using PASW (SPSS) 21.0 program, and one-way ANOVA, Pearson correlation coefficients, and stepwise multiple regression analysis. Results. The mean QOL of this study was 2.99/5. The significant correlates of QOL were family support (${\beta}=.21$, p=.024), health status (${\beta}=.24$, p=.003), workplace spirituality ${\beta}=.55$, p<.001), and these variables explained 55.9% of variance in QOL. Conclusion. The study suggests that family support workplace spirituality are an important factors in explaining QOL of the middle-aged male. Therefore, it is necessary to be considered family support and workplace spirituality for promoting life satisfaction of middle-aged male.

• Journal of Korean Academy of Nursing
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• v.43 no.1
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• pp.81-90
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• 2013

Purpose: This study was done to test structural equation modeling of health-related quality of life (QOL) of men with obstructive sleep apnea in order to identify parameters affecting QOL and provide guidelines for interventions and strategies to improve QOL in these patients. Methods: Model construction was based on 'The conceptual model of patient outcome in health-related QOL' by Wilson and Cleary, using the variables; age, physiological factors, social support, cognitive appraisal, symptoms and QOL. Participants were 201 adult male patients recruited at a tertiary university hospital in Seoul. Data were collected via questionnaires, polysomnography, and clinical records. Results: Age and symptoms directly influenced QOL. Social support and cognitive appraisal about sleep did not have a direct influence on QOL, but indirectly affected it via symptoms. QOL was lower in patients who were younger and had more severe symptoms. Symptoms were more severe for patients with lower social support and more dysfunctional cognitive appraisal. When social support was lower, cognitive appraisal was more dysfunctional. Conclusion: These results suggest it is necessary to not only manage symptoms, but also apply interventions to increase social support and cognitive appraisal about sleep in order to increase QOL in patients with obstructive sleep apnea.