• 대한간호학회지
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• 제32권4호
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• pp.539-549
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• 2002

This study was undertaken to examine the degree of quality of life and to analyze the factors affecting those quality of life in middle-aged men. Method: The subjects of this study were 208 men aged by 35-55 from 3 business enterprises located in Seoul and Incheon. Data collection was conducted through the use of 5 questionnaire. Result: There were significant differences in the quality of life according to marital status, religion, educational level, number of children and total house income. A positive correlation was found between quality of life and all independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy. Stepwise Multiple Regression Analysis revealed that the most powerful predictor was self-esteem. Self- esteem, health perception, health promoting behaviors, marriage, and social support accounted for 65% of the variance in quality of life in middle-aged men. Conclusion: All independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy were related with quality of life in middle-aged men. Therefore it is necessary to develop the nursing intervention with these variables to increase the quality of life for middle-aged men.

• 가정과삶의질연구
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• 제27권1호
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• pp.127-144
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• 2009

This study examines the factors that influence the subjective quality of life for Korean, Chinese-Korean, and Chinese women who are both married and employed, and it offers suggestions based on this examination for how to improve these women's quality of life. In particular, we employ both empirical and comparative research to explore the causal relationship in these three groups of women between variables such as cultural orientations, life satisfactions and the perceived quality of life. For these objectives, 263 Korean women, 265 Chinese-Korean women and 280 Chinese women were surveyed. The research can be summarized as follows: First, when we consider subjective quality of life as the dependent variable and factors such as self-esteem, cultural inclination and life satisfactions as independent variables, we find that most of variables record relatively higher than middle score. Comparisons among the three groups find that every variable shows meaningful differences among the groups except for the non-economic reasons for employment. Second, in examining the relative influence of the different variables on the subjective quality of life, we observe that both job satisfaction and family-life satisfaction have a significant influence on the quality of life for women in all groups. For Korean and Chinese women, job satisfaction has a greater influence on the quality of life than family-life satisfaction.

• 보건행정학회지
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• 제10권3호
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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.

• 가정∙방문간호학회지
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• 제22권2호
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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.

• 여성건강간호학회지
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• 제24권4호
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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.

• 종양간호연구
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• 제8권1호
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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.

• 가정과삶의질연구
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• 제16권2호
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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.

• 한국보건간호학회지
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• 제29권2호
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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.

• 가정∙방문간호학회지
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• 제22권1호
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• pp.5-13
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• 2015

Purpose: The purpose of this study was to identify the relationship between sense of coherence and quality of life in the freshman nursing students. Method: The subjects of this study were 377 freshmen of nursing colleges. Data were collected through structured questionnaires of sense of coherence and quality of life. Data analysis was done using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and canonical correlation analysis. Result: There was static correlation between sense of coherence and quality of life in the freshman nursing students. And high correlation with quality of life were meaningfulness in sense of coherence and psychological domain in quality of life. Conclusion: These results were shown very important to improve meaningfulness in sense of coherence and psychological domain in quality of life to raise the quality of life in the freshman nursing students. Therefore, in order to improve the quality of life, it is necessary to develop a nursing intervention program that focus on stress, and psychological health.

• 기본간호학회지
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• 제20권2호
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• pp.168-176
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• 2013

Purpose: The purpose of this study was to identify factors affecting quality of life according to Body Mass Index (BMI) of women college students. Methods: The research design was a descriptive survey design using a convenience sampling. Data were collected using self-report questionnaires. Participants were 348 women college students. Data analysis was done using SPSS/WIN 18.0 program for descriptive statistics, Pearson correlation coefficients and hierarchial multiple regression. Results: According to BMI, 3 groups of students were identified. Differences between the groups for quality of life were significant. The major factors affecting quality of life in the underweight group were departments (college), body stress and ego-resilience which explained 27.9% of the variance in quality of life. Body stress and ego-resilience were significant predictors explaining 23.1% of the variance in quality of life in the normal weight group. Ego-resilience was also a significant predictor in the overweight group explaining 15.2% of the variance in quality of life. Conclusion: Findings indicate a need to decrease body stress and strengthen ego-resilience to improve quality of life of women college students. Further studies are needed to examine nursing intervention strategies for improving quality of life for women college students.