• Child Health Nursing Research
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• v.15 no.4
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• pp.401-408
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• 2009

Purpose: This study was done to assess the home nursing and quality of life of parents caring for preschool children with atopic dermatitis and to identify the factors which influence quality of life. Methods: Participants in the study were 149 parents of preschool children with atopic dermatitis attending a kindergarten and a nursery school in S city. Parent completed a set of questionnaires (assessing demographic factors, home nursing, quality of life). Descriptive analysis, t-test, ANOVA and multiple regression were used to analyze the data. Results: The mean score for home nursing was $3.06{\pm}0.38$ and for quality of life, $4.18{\pm}0.74$. The lowest scored question in the 13 question on quality of life was that of frustration related to itching sensation. Significant factors that affect quality of life were severity and home care. These variables explained 21% of variance in quality of life (F=21.17, p<.001). Conclusion: The results indicate that severity of childhood atopic dermatitis and home nursing impact on the quality of life of parents. Using the above findings, health professionals who work with children with atopic dermatitis and their parents need to develop specific nursing interventions that will promote health of children with atopic dermatitis and quality of life in their parents.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.2
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• pp.43-52
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• 2018

Objects: In this study, we analyzed the correlation between stress and depression related to the quality of life of one elderly household, and analyzed the influence of stress and depression on the quality of life. In this study, I tried to make a plan for improving the quality of life for one elderly. Methods: In this study, the frequency and percentage according to the general characteristics of one elderly household were frequency analyzed. And the mean and standard deviation of stress, depression, quality of life were analyzed on average. And continuous analysis of stress, depression, quality of life, etc., conducted a technical analysis. Relationship to stress, depression, quality of life, correlation analysis was done. The effect of stress and depression on the quality of life was linear regression analysis. SPSS Version 23.0 was used for analysis. Result: Increased stress and increased depression in elderly single households was a static (+) correlation. And the results of the regression analysis showed that the higher the stress and depression of one elderly household, the lower the quality of life. Conclusion: For the improvement of the quality of life of one elderly household, the government should support stress and depression prevention programs according to sex, age, number of chronic diseases.

• Health Policy and Management
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• v.10 no.3
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• pp.129-154
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• 2000

This study aims at providing the basic data necessary for developing a model of and the policies for the improved quality of life of the adult population by measuring and analyzing factors affecting the quality of life based on a WHOQOL-Bref survey of 1,200 persons above the age of 20 residing in Taegu Metropolitan City area. 1. The factors affecting their quality of life were measured as follows: The physical conditions got the highest point of 3.31 while the psychological conditions got 3.20 and the environmental conditions got the lowest point of 3.09. The overall quality of life was rated to be at 3.11 2. General conditions affecting the quality of life, such as the economic conditions, health conditions and stress all turned out to be variables having significant differences(p〈0.01) in all the factors affecting the quality of life. 3. Through the analysis, we also found out the positive correlation exists among all the factors determining the quality of life(p〈0.01), while the psychological factor turning out to have the highest correlation value(r=0.640) with the overall quality of life. 4. To find out the factors affecting all the aspects of quality of life, we also conducted a multiple regression analysis employing the general characteristics as an independent variable. The health, economic and stress conditions all turned out to be significant in all aspects(p〈0.01). Summarizing the above analysis, the quality of life has a high correlation with the psychological, physical and environmental conditions. It has also turned out that the health, economic and stress conditions have the greatest influence on the quality of life. Therefore, it is believed to be necessary that a comprehensive program be developed to promote the public health and to formulate a model for improvement of the people's quality of life that can enhance their physical, psychological and social health conditions.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.22 no.2
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• pp.300-309
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• 2015

Purpose: This study investigated the effect of depression, life stress and resilience on quality of life among middle-aged women. Methods: A descriptive correlation study design was used with a convenience sample consisting of 201 middle-aged women recruited from an urban area. SPSS 21.0 was used for a descriptive analysis, t-test, ANOVA, Pearson's correlations and multiple-regression analysis. Results: Quality of life had a significant positive correlation with resilience(r=.53, p<.001) and negative correlation with life stress(r=-.27, p<.001). The significant factors for quality of life were resilience (B=.425, p<.001) marital-status (B=.227, p=.001) and health status (B=-216, p=.001). These factors explained 36.8% of the variance in quality of life. Conclusions: In conclusion, to promote quality of life middle-aged women, there is a need to develop an intervention program to improve resilience.

• Asian Oncology Nursing
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• v.8 no.1
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• pp.32-39
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• 2008

Purpose: This study was to identify the relationship between perceived family support and quality of life in hospitalized patient with terminal cancer. Method: Study subjects were 104 patients with terminal cancer who were hospitalized and treated at K university hospital, in Busan. Perceived family support and quality of life were measured using the Kang's Revised Family Support Scale and Youn's Quality of Life scale for terminal patients. Results: 1) The mean score of perceived family support was $4.23{\pm}0.61$. The mean score of quality of life was $5.83{\pm}1.37$. 2) The perceived family support was significantly different with primary care giver, food type, medical period after diagnosis. 3) The levels of quality of life was significantly different by number of children, effect of religion on the one' life, perceived state of disease and pain. 4) There was moderate positive correlation between perceived family support and quality of life. Conclusions: Increase in perceived family support was associated with increase in quality of life in hospitalized patients with terminal cancer. It is necessary that the development of nursing education program for family which help to support the patient with terminal cancer for increasing the quality of life of patient with terminal cancer.

• Women's Health Nursing
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• v.24 no.4
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• pp.346-354
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• 2018

Purpose: To identify effects of menstrual attitude, premenstrual syndrome, and stress response on quality of life of nursing students. Methods: Subjects were 135 nursing students who agreed to participate in this study. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression. Results: Premenstrual syndrome, younger than 20 years of age, and habit of eating bland food in everyday life were factors influencing quality of life of nursing students. These factors accounted for 17.6% of quality of life. Premenstrual syndrome toward quality of life was the most influential factor. Conclusion: Premenstrual syndrome is the most significant factor affecting the quality of life of nursing students. To increase their quality of life, it is important to develop and apply educational programs using factors influencing quality of life of the nursing students. Results of this study will be useful as basic data for improving quality of life of nursing students. Additional study is needed to test its effect in the future.

• Journal of Families and Better Life
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• v.16 no.2
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• pp.151-164
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• 1998

This study was to investigate differences of quality of life between Korean and British married couples. For the data set 136 married couples living in London Plymouth United Kingdom and 208 married couples living in Pusan Korea were chosen. The data were analyzed using M, D, t-test multiple regression and path analysis,. The findings of this study are as follows; First the level of quality of life are higher for British married women than Korean married women. Second for Korean and british married women influence on quality of life are higher subjective variables than objective variables. Third for Korean married women wife's level of education religion marital satisfaction have significant direct effect on quality of life. Besides wife's age and husband's housework participation are indirectly associated with quality of life. For British married women marital satisfaction has significant direct effect on quality of life. Besides number of children income and religion are ind rectly associated with quality of life. Among the variables marital satisfaction is the strongest predictor variable.

• Journal of Korean Public Health Nursing
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• v.29 no.2
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• pp.219-230
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• 2015

Purpose: This research study not only examine the relationship between cognitive function, IADL, depression and quality of life, but also clarifies factors impacting quality of life for the elderly. The purpose of this study is to administer health promotion programs and to improve quality of life for the elderly. Methods: Data were collected from May 20, to June 10, 2014. The participants were 157 elderly persons with mild cognitive injury (MCI), who had under 23 points on MoCa-K from three different senior welfare centers in Daejeon. The questionnaires were conducted by four university students after receiving instruction from the researcher and consisted of general characteristics, cognitive function, depression and quality of life. SPSS WIN 19.0 program was used for data analysis. Results: Cognitive function showed positive correlation with quality of life (r=175, p=.028). IADL did not show correlation with quality of life (r=-.005, p=.947). However cognitive function(r=-.344, p<.001) and depression (r=-.623, p<.001) showed negative correlation with quality of life. In addition, the factors impacting quality of life were cognitive function (${\beta}=.14$, p=.29) and depression (${\beta}=-.61$, p<.001) which accounted for 39% of quality of life. Conclusion: These findings showed that the participants had depression and their cognitive function was low. As a result, the more participants' cognitive function decreased, the more their quality of life decreased. In addition, the more their depression decreased, the more their quality of life improved.

• Journal of Korean Academy of Nursing
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• v.34 no.7
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• pp.1334-1342
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• 2004

Purpose: This study was to investigate the factors influencing quality of life and difference of quality of life in a postmenopausal group compared to premenopausal women. Method: The subjects consisted of 213 women from 40 to 64 years old. The data were collected from June 1, 2003 to June 31, 2004 using structured questionnaires which included questions relating to demographic and obstetric background and 4 scales(climacteric symptoms scale, marital satisfaction scale, sex-role attitude scale, quality of life scale). Result: Comparing pre- and postmenopausal women, significant statistical differences were demonstrated in climacteric symptoms and sex-role attitude. However, quality of life was not different between pre- and postmenopausal women. In premenopausal women, marital satisfaction($32.7\%$) and educational level($8.0\%$) were significant predictors to explain quality of life. Marital satisfaction($12.9\%$) was significant predictor to explain quality of life in postmenopausal women. Conclusion: No difference of quality in life between pre- and postmenopausal women provides information for changing traditional approaches of menopause according to physiological changes as illness. In addition the study showed that it is necessary to use marital satisfaction information when developing nursing interventions to promote the quality of life.

• Korean Journal of Adult Nursing
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• v.16 no.4
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• pp.597-607
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• 2004

Purposes: Quality of life is an important health outcome for hemodialysis patients. The purposes of this study were to identify the level of quality of life and to identify the predictors of quality of life among hemodialysis patients. Method: A descriptive correlational study was conducted. Data were collected from 103 hemodialysis patients at the hospitals in a community using structured questionnaire and medical record. Data were analyzed using descriptive statistics, t-test, ANOVA, correlation, and stepwise multiple regression. Results: Quality of life among hemodialysis patients was relatively lower than that of previous studies. In the final analysis, quality of life was predicted by presence of comorbidity, emotional health, gender, physical health, and knowledge of disease. These variables accounted for 45% of variance of the quality of life. The presence of comorbidity was the most significant predictor of quality of life among hemodialysis patients. Conclusion: Interventions to increase quality of life among hemodialysis patients such as health promotion program and educational program for dietary compliance are needed. These must be developed and applied.