• 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 Korean society of Dental Hygiene
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• v.16 no.2
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• pp.277-284
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• 2016

Objectives: The purpose of the study was to investigate the influencing factors of oral health-related quality of life in social workers. Methods: A self-reported questionnaire was completed by 240 social workers in Gwangju by convenience sampling method. The questionnaire consisted of general characteristics of the subjects(age, monthly salary, smoking, alcohol consumption) and systemic health condition(systemic diseases, medication, oral health status, and stress). The factors associated with oral health-related quality of life included skin dryness, eye dryness, lip dryness, and nasal dryness. The subjective dry mouth consisted of 6 questions measured by visual analogue scale(VAS). Cronbach's alpha was 0.868 in the study. The data were analyzed for t-test, one-way ANOVA and multiple regression analysis using SPSS 18.0 program. Results: The oral health-related quality of life in social workers varied by age, oral health status, stress status, and halitosis. The oral health-related quality of life had positive correlations with the subjective perception of dry mouth and whole body dry symptoms. The health status(${\beta}=-0.410$) had the influence on the oral health-related quality of life, nasal dryness(${\beta}=0.230$), age(${\beta}=0.189$), and halitosis (${\beta}=0.162) in order. Conclusions: The oral health-related quality of life was closely related to the health status and nasal dryness. It is necessary to develop the quality of life improvement programs including oral health prevention and care program in the social workers.

• Korean Journal of Community Nutrition
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• v.20 no.4
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• pp.281-290
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• 2015

Objectives: Obesity is known to influence physical and mental health as well as the general quality of life. The aim of this study was to evaluate the effect of obesity related quality of life on selecting a goal for weight management in overweight and obese female patients. Methods: A total of 140 overweight or obese (Body mass index $23kg/m^2$) female outpatients aged ${\geq}20$ and ${\leq}60$ years from one clinic participated in this study. Patients' desired weight (goal weight, ideal weight, satisfactory weight, acceptable weight and disappointed weight) and obesity related quality of life measures were evaluated. Univariate and multivariate analysis were performed to evaluate the effect of obesity related quality of life on goal weight reduction (%) and goal body mass index (BMI). Results: Mean BMI of overweight group, mild obesity group and severe obesity group were $62.0{\pm}4.8kg$, $68.5{\pm}5.5kg$ and $83.5{\pm}9.6kg$, respectively. Mean weight loss expectations of the three groups were $16.4{\pm}4.7%$, $19.5{\pm}5.3%$ and $30.2{\pm}6.8%$, respectively and goal weight was significantly different among the three groups. Severe obesity group had a lower total quality of life score including physical, work-related, daily living domains than overweight or mild obesity groups. In univariate and multivariate regression analysis, psychosocial domain of quality of life had an effect on goal weight reduction (%) and goal BMI. Conclusions: The results of this study demonstrated that the obese patients with poorer quality of life and psychosocial health tended to choose higher goal weight reduction and lower goal BMI.

• Journal of Korean society of Dental Hygiene
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• v.13 no.5
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• pp.835-843
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• 2013

Objectives : The purpose of this study was to evaluate the chewing ability, oral-health related quality of life and factors in periodontal disease patients. Methods : Subjects were 111 patients having peridontal disease in 10 dental clinics in Busan and Gyeongsangnamdo. Questionnaire survey was carried out from July to August 2010. Questionnaire consisted of demographic characteristics, oral health factors, chewing ability and quality of life. Data were analyzed by descriptive analysis, t-test, ANOVA, correlation analysis, and multiple regression analysis using SAS(Ver 9.2) set at p<0.05. Results : Chewing ability was $44.85{\pm}8.8$, and their quality of life was $41.7{\pm}8.8$. Low level of quality of life was closely related to those factors as education, missing of more than 5 posterior teeth, certain subjective periodontal symptoms including swollen gums, sore gums, drifting gums, bad breath and toothache. The effective factors to the quality of life was chewing ability, bad breath and toothache. Conclusions : Chewing ability and quality of life were closely related each other. To enhance the quality of life, chewing ability should be improved. Proper treatment and effective method of management should also be properly considered to prevent the subjective periodontal symptoms and to minimize tooth loss.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.429-437
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• 2019

This study examined diverse capital dynamics and the effect of the dynamics on the quality of life of Korean baby boomers living in Jeonju. Also this study investigated the moderating effect of birth cohort. A structural equation modeling conducted with 303 baby boomers for verification. The results are as follows: First, the human capital of baby boomer directly or indirectly affected psychological, economic, social capital, and quality of life. Second, economic capital directly or indirectly affected psychological, social capital, and quality of life. Third, psychological capital directly or indirectly affected social capital and quality of life. Fourth, social capital affected the quality of life. Fifth, the birth cohort moderated the impacts of economic capital on psychological capital and quality of life. The results provided an understanding of the quality of life of baby boomer and the direction of intervention.

• Journal of Korean Biological Nursing Science
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• v.25 no.3
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• pp.160-171
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• 2023

Purpose: To identify factors influencing health-related quality of life for young single-person households, this study investigated physical and mental health status, health behavior, depression, resilience, and health-related quality of life. Methods: An online survey was administered to members of young single-person households from March 22 to 30, 2022. The data were analyzed using the chi-square test, independent t-test, one-way analysis of variance, Pearson correlation coefficients, multiple regression, and a simple mediation model applying the PROCESS macro model 4 with 95% bias-corrected bootstrapped confidence intervals. Results: The participants were 229 members of young single-person households. Health-related quality of life showed significant relationships with residence (t = 2.80, p = .006), month (F = 3.70, p = .026), mental health status (F = 20.33, p < . 001), and high-intensity exercise (F = 7.35, p = .001) among general and health-related characteristics. Health-related quality of life had significant correlations with depression (r = -.72, p < .001) and resilience (r = .58, p < .001). Multiple regression analysis showed that depression (β = -.57, p < .001) and resilience (β = .21, p < .001) influenced health-related quality of life. Moreover, resilience had a mediating effect between depression and health-related quality of life (indirect effect = -0.002, 95% bias-corrected bootstrapped confidence interval = -0.003 to -0.001). Conclusion: Members of young single-person households tended to be more vulnerable to emergency situations, such as during the coronavirus disease 2019 pandemic, when lockdowns and quarantines were frequent. To improve health-related quality of life in young single-person households, people with high levels of depression or low levels of resilience need special attention and support to promote mental health.

• Korean Journal of Health Education and Promotion
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• v.20 no.1
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• pp.111-130
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• 2003

The purpose of this study was to analyze the relationship between quality of life, self-efficacy and family support of stroke patients in Oriental medicine hospitals. The subjects of this study were 211 hospitalized stroke patients in seven oriental medicine hospitals in the Busan Metropolitan, Gyeongsangnam-do and Gyeongsanbuk-do area. Data was collected through questionnaires from June 1st, 2002 to September 30th, 2002. 1) The relationship between general characteristics and other variables showed significant differences as follows : for general self-efficacy degree, age, occupation, and level of education ; for family support, level of education and occupation ; for quality of life, level of education, occupation, religion, and monthly income. 2) The relationship between disease-related characteristics and other variables showed significant differences as follows ; for general self-efficacy, level of paralysis, and periods of hospitalization ; for specific character of paralysis, level of paralysis, and periods of hospitalization ; for family support, care-giver, character of paralysis, level of paralysis, and periods of hospitalization related; for quality of life, level of paralysis, and periods of hospitalization. 3) There was a significant correlation between the quality of life and general self-efficacy, the quality of life and the specific self-efficacy, the specific self-efficacy and family support.

• 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 Korean Academy of Fundamentals of Nursing
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• v.25 no.2
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• pp.79-88
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• 2018

Purpose: The purpose of this study was to identify the factors that affect quality of life in elderly people with dementia. Methods: The participants for this descriptive correlational study were 97 elderly patients with dementia who were attending a daycare center or were being cared for at home. Data were collected from the participants using the Mini-Mental Status Examination-Dementia Scale, the Geriatric Depression Scale (Short Form), Activity of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) Scale. Results: There were statistically significant differences in quality of life of elders with dementia according to mobility, using dementia day-care center, and cohabitation. In multiple regression analysis, depression, activity of daily of living, using dementia day-care centers and cohabitation were significant predictors of quality of life and the four variables explained 60% of the variance in quality of life. Conclusion: Findings indicate that to enhance the quality of life for elders with dementia, depression needs to be decreased and regular use of daycare service recommended. Further, various programs enhancing physical ability need to be developed and used with these elders.

• Research in Community and Public Health Nursing
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• v.13 no.4
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• pp.679-688
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• 2002

Purpose: The purpose of this study was to examine the relationships among self-care, self-care agency, self-efficacy, and quality of life in type II diabetic patients registered at a public health center. Method: The study subjects were 128 type II diabetic patients who were living in G city. The data were collected from March 2001 to February 2002. The instruments used for this study were the self-care scale developed by Jeung(1997) and designed by Park (1984) based on the original scale, the self-care agency scale developed by So (1992), the self-efficacy scale developed by a Jeung (1997) and designed by Paek (1996) based on the original scale, and the quality of life scale developed by Ro (1988). The data were analyzed using descriptive statistics, pearson correlation coefficient, and stepwise multiple regression. Results: 1. The relationships among self-care, self-care agency, self-efficacy, and quality of life were significant. Self-care was significantly related to self-care agency (r=.609. p<.01), self-efficacy (r=.763. p<.01), and quality of life (r=.493. p<.01). 2. The stepwise multiple regression analysis was performed to identify factors influencing quality of life of the subjects. The most powerful predictor was self-care agency (48.4%). The combination of self-care, complication status, age, education level, and self-efficacy accounted for 88.7% of the variance of quality of life in type II diabetic patients. Conclusion: The results suggest that self-care, self-care agency, self-efficacy, and quality of life are important variables for development of nursing intervention programs for patients with diabetes.