Purpose: This study was designed to investigate the body-image and quality of life in breast cancer patients with mastectomy. Methods: Data were obtained by self-reported questionaries from 110 patients undergone mastectomy from August 1 to 31, 2007. And data were analyzed using SPSS/PC WIN 12.0 program and frequency, percentage, mean, minimum, maximum, t-test, ANOVA, Scheffe test, Pearson's Correlation Coefficient were used. The results of the study were as follows; 1) Mean of Body image of the subjects was $52.54{\pm}6.67$ (range of scale; 17 to 85). Mean of quality of life was $118.01{\pm}34.37$ (range of scale; 0 to 10). 2) There was no significant difference with the score of body image by demographic and disease-related characteristics of subjects. 3) There was significant difference with the score of quality of life by the work type and economic status of subjects. 4) Relationship between body image and quality of life showed moderately strong positive correlation (r=0.408, p<0.0001). Conclusion: Mean of body image and of quality of life in mastectomy patients were moderate. Relationship between body image and quality of life showed moderately strong positive correlation. Therefore, for improving the quality of life, it is needed to improve body image in breast cancer patients with mastectomy.
Purpose: This study is to develop a hypothetical structural model of the quality of life of single aged women and to explain the compatibilities between the models and actual data. Methods: Ten theoretical variables were used to evaluate of the quality of life of single aged women. 300 of single aged women were selected as the subjects. A hypothetical prediction model of quality of life was tested by the covariance structure analysis with PC-LISREL 8.12. Results: Economy, religion activity, leisure activity, social support, self-esteem, depression and health prompting behavior were the significant variables which affected to the quality of life directly in the single aged women. But social support, self-esteem affected to them indirectly. Knowing perceived health status directly but it affected indirectly to the quality of life in single aged women. Conclusion: In this study, it was discovered that self-esteem was the most important factor to affect to the quality of life in single aged women and the next was the depression and health promoting behavior. As a result, it was discovered that age, economic status, self-esteem and depression were the significant factors to affect to the quality of life in single aged women.
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.
Purpose: This study was conducted to investigate the degree of dry mouth and oral health-related quality of life and to identify factors contributing to oral health-related quality of life for community-dwelling elders. Methods: A descriptive correlational study design was used. Participants were 156 older adults from two senior welfare centers. Data were collected on February 21, 22 and 29, 30, 2009 using structured questionnaires. Enter type multiple regression analysis was used to identify factors influencing oral health-related quality of life according to general and oral health characteristics. Results: There were significant differences in oral health-related quality of life according to living arrangement, insurance, smoking, number of natural teeth, and denture type. The oral health-related quality of life had significant correlations with the number of chronic disease, number of medications, and dry mouth. Factors influencing oral health-related quality of life for community-dwelling older adults were dry mouth, number of chronic disease, and medical aid, which explained about 47.9% of total variance. Conclusion: These results indicate that in order to promote oral health-related quality of life for older adults, prevention or management of chronic diseases as well as oral health and dry mouth are needed for this population, and especially economically poor elders.
Purpose: We evaluated the socio-personal and clinical factors that can affect preoperative quality of life to determine how to improve preoperative quality of life in patients with gastric cancer. Materials and Methods: The preoperative quality of life data of 200 patients (68 females and 132 males; mean age $58.9{\pm}12.6years$) with gastric cancer were analyzed according to socio-personal and clinical factors. The Korean versions of the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core (QLQ) 30 and the EORTC QLQ-STO22, a gastric cancer-specific module, were used to assess quality of life. Patients were asked to complete the questionnaire preoperatively by themselves. Results: Patients with a higher academic background and stage I disease tended to have higher global health status scores. Highly educated younger men had better physical functioning scores. Highly educated and well-nourished patients with stage I cancer had higher role functioning scores. Married patients had better emotional scores. The symptom scales were affected by sex, age, education level, nutrition, and cancer stage. Conclusions: Preoperative quality of life in patients with gastric cancer can be improved by nutritional support and treatment of symptoms caused by disease progression. Psychological support may be helpful for patients with a poor quality of life.
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.
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.
The purpose of this study was to explore to what extent mothers and fathers differ in their disciplinary practices and to examine the relationships between quality of life and the parental disciplinary practices. The subjects of this study consisted of 220 parents(220 mothers and 220 fathers) of 5-6 years of children in Pusan. Descriptive analysis, correlation analysis, t-tests were used for data description and analysis. The major results were as follows: 1. There was a positive relationship between perceived quality of life by fathers and perceived quality of life by mothers. 2. There was a difference between fathers and mothers in relation to perceived quality of life. Fathers perceived their quality of life more highly than did mothers. 3. There were positive relations between parental educational level, household income and quality of life. 4. There were differences between fathers and mothers in relation to disciplinary practices. Fathers exhibited more effective disciplinary practices(including less overreactiveness and less verbosity) than did mothers. 5. There were no relations between parental educational level and disciplinary practices, but household income was only related to maternal disciplinary practices. 6. There were positive relations between quality of life and disciplinary practices. The higher parents perceived their quality of life, the more parents exhibited effective parental disciplinary practices.
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.
Purpose: The purpose of this study was to identify the health promotion, stress and the quality of life and relationship between those factors in patients with genital neoplasms. Method: Data of 151 subjects with genital neoplasms were collected from August 15 to October 12, 2009 at out-patient clinic in one general hospital in Daegu. Results: The mean score of health promotion of the subjects was 1.49 (${\pm}0.53$), stress of gynecologic cancer was 1.36 (${\pm}0.76$) and the quality of life of the subjects was 2.38 (${\pm}0.59$). There was a negative correlation between the quality of life and stress (r=-.482, p<.001), and positive correlation between the quality of life and health promotion (r=.442, p<.001) in the subjects. Conclusion: This study showed correlations between the health promotion, stress and the quality of life of patients with genital neoplasms. The quality of life of the patients with genital neoplasms was low when their stress was high. In contrast, their quality of life was high when the score of health promotion was high. Considering the research findings, it is necessary to develop a health promotion program for patients with genital neoplasms to strengthen their health promotion behaviors.
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