• Journal of muscle and joint health
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• v.25 no.2
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• pp.148-156
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• 2018

Purpose: The purposes of this study were to examine health-related quality of life and to identify the mediating effect of resilience on the relationship among uncertainty, distress, and health-related quality of life in lung cancer patients. Methods: A total of 149 lung cancer patients visiting the D hospital in B city completed a questionnaire, including demographic and disease-specific characteristics, uncertainty, distress, resilience, and health-related quality of life. Data were analyzed with descriptive analysis, t-tests, ANOVA, and multiple regression analyses via SPSS 24. Results: Health-related quality of life was $81.00{\pm}21.39$ (range 0~136) in lung cancer patients. In the results of hierarchical regression analyses, the health-related quality of life was associated with education, uncertainty, distress, and resilience. However, there was no mediating effect of resilience on the relationship among uncertainty, distress, and health-related quality of life. Conclusion: Lung cancer patients with high uncertainty and distress and low resilience could experience low health-related quality of life. In order to reduce uncertainty and distress, it is necessary to provide more detailed, systematic information and support, while reinforcing positive thinking.

• Journal of muscle and joint health
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• v.19 no.3
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• pp.272-281
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• 2012

Purpose: The purpose of this study was to identify levels of perceived stigma, self-esteem, quality of life and factors influencing on quality of life in people with Hansens' disease. Methods: The subjects were 128 people in Sorokdo National Hospital, two nursing homes, and three settlements. The stigma scale, self-esteem scale, and World Health Organization's quality of life instrument were used. Data were collected through self-reported questionnaires from July to August, 2010 and analyzed by t-test, ANOVA, Ducan's multiple range test, Pearson's correlation coefficients, and stepwise multiple regression by SAS. Results: The level of perceived stigma was 3.93, self-esteem was 26.2, quality of life was 2.78. Self-esteem was positively associated with quality of life. Through the multiple regression, it was found that self-esteem and job were factors influencing of quality of life with 43% of predictability. Conclusion: It was found that self-esteem and job were important for people with Hansen's disease. To improve the quality of life in people with Hansen's disease, it is necessary to develop nursing interventions fostering self-esteem and decreasing perceived stigma.

• Journal of Korean Society for Quality Management
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• v.31 no.1
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• pp.42-61
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• 2003

The objective of this study is to analyze the impact of service quality on the customer satisfaction, the re-purchase intention and the word of mouth in the Korean insurance industry. In this study, the methodology for measuring the degree of service quality which has been adopted in the service quality research area was used. Data for this study were gathered from 1332 consumer life insurance and 689 consumer non-life insurance companies using internet survey method. The result of this study is summarized as follows: the determinants of service quality in the Korean life insurance industry are empathy, responsiveness and reliability, and the determinants of service quality in the Korean non-life insurance industry are empathy, and responsiveness, and the re-purchase intention and the word of mouth are affected by the customer satisfaction. As a result of the study, strategic implications will be suggested.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.4
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• pp.393-401
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• 2016

Purpose: The purpose of this study was to examine the relationships among sexual function, sexual stress, and quality of life in middle aged women patients with diabetes mellitus. Methods: Data were collected through questionnaires distributed to 154 middle aged women patient with diabetes mellitus in one hospital. Results: The mean sexual function score was $12.99{\pm}9.11$. There were statistically significant differences in sexual function according to age, level of education, employment status, time of being diagnosed with diabetes mellitus, number of complications, self-monitoring of blood glucose, menopausal status, and level of glycosylated hemoglobin. The mean sexual stress score was $26.99{\pm}16.88$. The score of quality of life was $79.12{\pm}14.30$. There were statistically significant differences in quality of life according to level of education. Sexual function was negatively correlated with sexual stress (r=-.46 p<.001) and positively correlated with quality of life (r=.32, p<.001), while sexual stress was negatively correlated with quality of life (r=-.36 p<.001). Conclusion: Higher sexual dysfunction in middle aged women patients with diabetes mellitus was correlated with lower sexual stress and improved quality of life, while lower sexual stress was correlated with improved quality of life.

• Journal of muscle and joint health
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• v.20 no.2
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• pp.81-90
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• 2013

Purpose: The purpose of this study was to identify factors contributing to health-related quality of life in patients under rehabilitation after stroke. Methods: A descriptive correlational study design was used. Ninety-two stroke patients under rehabilitation from a university hospital were included. Data were collected on March and April, 2013 using structured questionnaires. Hierarchial multiple regression analysis was used to identify factors influencing health-related quality of life. Results: There were significant differences in health-related quality of life according to type of impairment. The health-related quality of life had significant correlations with age, functional dependency, and stress. Factors influencing health-related quality of life for stroke patients under rehabilitation were stress, functional dependency, type of impairment, and age, which explained about 34.5% of total variance. Conclusion: To promote health-related quality of life for stroke patients under rehabilitation, stress and functional dependency should be managed in this population, especially for older adults. Also these results can be utilized in the development of program for helping rehabilitation of stroke patients. The effect of depression and anxiety on health-related quality of life should also be addressed in future research.

• Research in Community and Public Health Nursing
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• v.24 no.3
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• pp.302-313
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• 2013

Purpose: The purpose of this study was to identify factors in quality of life and to construct a model of quality of life in longevity region dwelling elders. Methods: Data were collected from January to July, 2010 through direct interviews and a self-reporting questionnaire survey with 171 subjects who were living at the S County (gun). The collected data were analyzed by using the SPSS/WIN 19.0 and AMOS 19.0 programs. Results: Economic status, social support, health behavior and depression were shown to have direct and total effects on quality of life and were statistically significant. Health status had indirect and total effects on quality of life and was statistically significant. And, self-efficacy had direct, indirect and total effects on quality of life and was statistically significant. These variables of the hypothetical model accounted for 41.4% of quality of life. Conclusion: In order to improve quality of life in longevity region dwelling elders, it is necessary to provide economic support and social support services in tandem with social welfare. And, we need to apply interventions strengthening self-efficacy, health behavior, and health status, and decreasing depression.

• Journal of The Korean Society of Integrative Medicine
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• v.5 no.4
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• pp.67-76
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• 2017

Purpose : The purpose of this study was to understand the correlations between life stress, sleep quality, and mental health in nursing college students. Method : This study was conducted on 315 nursing college students in B City between April 1stand30th, 2017. The collected data were processed using SPSS 22.0 and were analyzed using means, standard deviations, t-tests, an ANOVA, Scheffe's test, and Pearson's correlation coefficient. Results : Nursing college students showed means of $2.36{\pm}0.54$ points in life stress, $1.03{\pm}0.41$ points in sleep quality, and $2.95{\pm}0.57$ points in mental health. The analysis of correlations between life stress, sleep quality, and mental health in nursing college students showed a statistically significant positive correlation between life stress and sleep quality (r = .432, p < .001). In addition, statistically significant negative correlations were found between life stress and mental health (r = -.589, p < .001) as well as between mental health and sleep quality (r = -.301, p < .001). Discussion : Replication studies with larger numbers of subjects are required. Based on the present study, systematic studies on factors affecting life stress, sleep quality, and mental health are also necessary. Moreover, programs should be developed to reduce life stress as well as improve sleep quality and mental health.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.15 no.4
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• pp.485-494
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• 2008

Purpose: In this study, relationships between symptom experience and quality of life in a cross-sectional sample of patients with Atrial Fibrillation (AF) were investigated. Methods: This descriptive study involved a convenience sample of AF patients from S university hospital, C city. One hundred and two AF patients completed psychometric validated measures of AF related symptoms and quality of life. Descriptive statistics and Pearson correlation coefficients with SPSS WIN 14.0 were used for data analysis. Results: Of 16 atrial arrhythmia-related symptoms, the patients reported 'tiredness' as the most frequent and 'shortness of breath' as the most severe. The level of overall quality of life for patients with AF was 53.92. There were significant differences in symptom frequency according to religion, New York Heart Association (NYHA) classification and left ventricular ejection fraction ; symptom severity according to monthly income and stroke ; quality of life according to age, job, alcohol intake, NYHA class and stroke. Quality of life for these patients was positively correlated with symptom frequency and symptom severity. Conclusions: This study demonstrated that patients with more frequent and severe symptoms perceive poorer quality of life than patients with less frequent and less severe symptoms. Symptom experience should be assessed early to improve quality of life for patients.

• Research in Community and Public Health Nursing
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• v.8 no.1
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• pp.74-88
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• 1997

The purpose of this study was to identify the relationship between perceived social support and the quality of life of cancer patients receiving gene therapy. The subjects for this study were 50 cancer patients receiving gene therapy at two general hospital in Seoul. The data were collected during the period from October 14, 1996 to November 11, 1996. The perceived social support was measured by the family support scale made by Hyun Sook Kang, by the medical support of life scale developed by Ok Soo Kim. The quality of life scale developed by Bang-Whal-Ran was used, among the questionnaire, physical factors was developed by U.S.A National Conference on Cancer Nursing. The data was analysed by the SAS statistical program. Percentile, means and standard deviations, t -test, ANOVA, Scheffe test, Pearson correlation were utilized for analysis. The results of this study were as follows. 1. The mean score of the perceived social support of the subjects was 83.66, the item score was 3.8. 1) The mean score of the perceived family support of the subjects was 44.96, the item mean score was 4.5. 2) The mean score of the perceived professional medical support of the subjects was 38.70, the item mean score was 3.2. 2. The mean score of quality of life of the subjects was 120.38, the item mean score was 3.17. For each factor in quality of life scale, the mean score was follows: for attitude toward life, 3.95, for familial relationship and financial status, 3.53, for social activity 3.24, for emotional status, 3.08, for healthy perceptive, 2.90, for physical symptom, 2.80. 3. The result of the analysis of the relationship between perceived social support and quality of life showed a positive correlation(r=.4853, p=.0004). Therefore, the higher the perceived social support of the patients, the higher the quality of life. 1) The result of the analysis of the relationship between perceived family support and quality of life showed significant correlation(r=. 3566, p=.0110). Therefore the higher the perceived family support of the patients, the higher the quality of life. 2) The result of the analysis of the relationship between perceived professional medical support and quality of life showed significant correlation (r=.4477, p=.0011). Therefore, the higher the perceived professional medical support of the patients the higher the quality of life. 4. There was a significant difference in perceived social support according to sex(F=2.1437, p= .0371), others coping non-family (F=2.4863, p=.0164) and duration of treatment (F=4.16, p=.0218). 5. There was a significant differance in quality of life according to sex(F=2.6932, p=.0097), degree of education(F=2.3610, p=.0223), others coping non-family(F=2.0502, p=.0458). In conclusion, this study revealed that social support is an important factor that associated with the quality of life in cancer patients receiving gene therapy.

• Journal of Korean Physical Therapy Science
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• v.31 no.3
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• pp.51-65
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• 2024

Background: The patients common have side effects of cognitive and function dysfunction after a stroke. According to specific factors which influence quality of life(QoL), the QoL of stroke survivors are impacted resulting from diverse interactions. Therefore, This study aims to suggest that we determines the relationship between cognitive function and stage of physical recovery and the quality of life as well as the degree of recovery by cluster analysis of the relationship between the degree of physical recovery and the quality of life Design: Randomized Methods: The following tests were used in this study to evaluate cognitive function, recovery stages and quality of life respectively: Cognitive function was measured using Korea-Mini Mental State Examination(K-MMSE). For evaluation of recovery stages, Brunnstrom Rrecovery Stage(BRS), quality of life was measured using Stroke Specific -Quality Of Life(SS-QOL). The sample size of this study was calculated using G*Power Version 3.1.9.7 (Franz Faul, University kiel, Germany, 2020). Based on moderate effect size of 0.15, a significance level (α) of 0.05, and power of 0.90 in the two-sided test, the calculation revealed that 88 patients were required for questionnaires. Results: The results of this study showed significant positive correlation(p<0.05). As a result of cluster analysis, in the case of the physical recovery stage, the degree of physical recovery improves from cluster 1 to cluster 3 and in the case of the quality of life, the quality of life improves from cluster 1 to cluster 3. However, it was confirmed that the change in the quality of life of cluster 1 and cluster 2 was not significant. These results show that the degree of physical recovery has a greater impact on the quality of life in the late stages of physical recovery, while the degree of physical recovery does not have a significant effect on the quality of life in the early and mid-term of the physical recovery stage. Conclusion: This study confirms that cognitive function, recovery stages and quality of life have significant correlations, and the recovery status has impacted on quality of life.