• Journal of Korean Academy of Nursing
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• v.41 no.4
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• pp.481-490
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• 2011

Purpose: The purpose of this study was to identify from the International Classification of Functioning model, factors influencing quality of life in elderly persons and to describe the concrete pathway of influence and the power of each variable. Methods: The sample included 334 elders who lived in 5 districts of D Metropolitan City. A structured questionnaire was used and the collected data were analyzed for fitness, using the AMOS 18.0 program. Results: This model was concise and extensive in predicting the quality of life of elders. The research verified the factors influencing quality of life for elders as direct factors such as activity of daily living (ADL) (${\beta}$=.13, t=2.47), leisure activity (${\beta}$=.55, t=5.04), social disengagement (${\beta}$=-.25, t=-2.25), and depression (${\beta}$=-.62, t=-10.86). Indirect factors including economic status (${\gamma}$=.17, p=.009), type of residence (${\gamma}$=.19, p=.004), ADL (${\gamma}$=.12, p=.027) were important factors in predicting quality of life for elders. These variables explained 75.6% of variance in the prediction model. Conclusion: The findings indicate a need for the nursing scientific community to develop intervention programs considering these variables to improve the quality of life for elders.

• 한국정보디스플레이학회:학술대회논문집
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• 2006.08a
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• pp.660-664
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• 2006

A novel quantified method based on requirement analysis of image quality to improve display image quality was proposed. Nowadays, the image quality was limited by the poor understanding of the image quality requirement, which led to the critical factors of image quality could not be controlled during display development. Our method was set up to resolve this problem by clarifying the relationship between the image quality level and the effect factors in image processing. Moreover, the subjective factors were eliminated extremely by the image quality quantification. The method was applied in the RPTV development life cycle and its efficiency was demonstrated.

• Korean Journal of Adult Nursing
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• v.14 no.3
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• pp.401-410
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• 2002

Purpose: This research was designed to develop an instrument that can be used for measuring of the quality of life for the elderly in Korea. Method: Subjects were 2,110 aged people, residing in Seoul and Kyeungi-Do. In developing this instrument, the researcher first established a conceptual framework based on the literature review and interview and open questionnaire. The collected data were analyzed using the SPSS-WIN program. For the component factors of the measuring instrument, a factor analysis method and item analysis was used. The reliability of the scale was tested by Cronbach's alpha. Result: 1) The results of the analysis of the 32 items making up the instrument were classified into the following 4 factors: life stability, easy of resource utility, health and affection in family, establishment of supportbase. 2) The reliability of the instrument for the quality of life was 0.952 (Cronbach's alpha). In the factor analysis Cronbach's alpha correlations for the 4 factors ranged from 0.736 to 0.949. Conclusion: This scale could be adequately applied in assessing the quality of life for the elderly in Korea. And the results of this scale in a study can contribute to the promotion of quality of life for the elderly.

• Perspectives in Nursing Science
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• v.12 no.1
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• pp.50-59
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• 2015

Purpose: The purpose of this study was to investigate the influencing factors on the quality of life of elders. Methods: Data were collected from August 25, September 1, 2014, and participants were 300 elders who were using senior welfare centers. Descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficient, and stepwise multiple regression were used for data analysis. Results: Elders who were more painful, highly perceived health status, self-esteem and social support, and lower depression showed relatively higher quality of life. Also, there were strong correlations between quality of life and depression (r=-.737) /perceived health status (r=.709). Factors predicted quality of life of elders were perceived health status (${\beta}=.349$), depression (${\beta}=-.267$), social support (${\beta}=.172$), self-esteem (${\beta}=.170$), pain (${\beta}=-.130$), income (${\beta}=.113$), and level of education (${\beta}=.064$). These 7 factors explained 78.2% of the variance in quality of life of elders (F=154.49, p<.001). Conclusion: Therefore, in order to improve the quality of life of elders, a systematic approach is necessary through multilateral cooperation among comprehensive sectors.

• Journal of Korean society of Dental Hygiene
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• v.12 no.5
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• pp.1039-1048
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• 2012

Objectives : The objective of this paper is to clarify the factors of the geriatric oral health influencing oral health-related quality of life by using the contracted OHIP-14 tool. Methods : This research conducted individual interview for 177 seniors using senior citizen center by using structured questionnaires. SAS(Ver.9.2) Program was used for the collected data to perform frequency analysis, reliability and scale analysis, t-test, ANOVA, correlation analysis and multiple regression analysis. Results : The oral health-related quality of life level related to oral health according to the demographical characteristics showed that it was better in case that they are younger, married, more educated and have more living expenses. Except for age, oral health-related quality of life was connected to scholastic achievement, living expenses, subjective health condition and subjective oral health condition. The factors influencing the oral health condition were subjective health condition, marriage, scholastic achievement, living expenses, age and sex. As the subjective health condition is better, in case of cohabitation of only a couple and as the age or scholastic achievement is higher and the living expenses are more, the oral health condition was better. The factors influencing oral health-related quality of life were subjective oral health condition, marriage, sex, subjective health condition, scholastic achievement and living expenses. As the subjective oral health condition and health condition were better and in case of sole living and cohabitation of only a couple, male's oral health-related quality of life was higher. Conclusions : It is considered that because the geriatric oral health condition becomes an important factor to oral health-related quality of life, the development of the geriatric oral health business and the geriatric heal education program to maintain and improve oral health is required and the activation of the oral health insurance policy for preventive dental service is necessary.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.835-841
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• 2018

In this study, we analyzed public health data analysis using the hadoop-based spack in the cloud environment using the data of the Community Health Survey from 2012 to 2014, and the factors affecting the quality of life and quality of life. In the proposed paper, we constructed a cloud manager for parallel processing support using Hadoop - based Spack for open medical big data analysis. And we analyzed the factors affecting the "quality of life" of the individual among open medical big data quickly without restriction of hardware. The effects of public health data on health - related quality of life were classified into personal characteristics and community characteristics. And multiple-level regression analysis (ANOVA, t-test). As a result of the experiment, the factors affecting the quality of life were 73.8 points for men and 70.0 points for women, indicating that men had higher health - related quality of life than women.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.229-239
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• 2013

The purpose of this study was to examine the influential factors for the quality of life of 151 dental hygienists. Average score were job stress $2.84{\pm}0.60$, social support $3.97{\pm}0.52$ and quality of life $3.18{\pm}0.35$ In terms of the quality of life, there were significant gaps according to age, marital status, the type of workplace, education and economic status. In social support significant difference were found according to age, the type of workplace and work system. In job stress, economic status made significant differences to that. Among the sub-factors of the quality of life, the dental hygienists who worked in public dental clinics led a life of higher quality than those who worked in hospitals in terms of physical and psychological health. In terms of social relationships, the dental hygienists who received graduate-school education led a life of better quality than the college graduates. In terms of environments, the 30-34 age group led a life of better quality than the 25-29 age group, and those who worked in public dental clinics led a life of better quality than the others. Those who received graduate-school education led a life of better quality than the junior-college graduates and the college graduates, and the group whose annual income was between 30 and 39 million won led a life of higher quality than the others. In terms of the overall quality of life, the group that worked for five days a week was ahead of the other that worked for five days a week. As a result of analyzing what factors affected the quality of life, emotional support, material support were identified as the variables to have a significant impact on that.

• Physical Therapy Korea
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• v.16 no.3
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• pp.69-78
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• 2009

The purpose of this study was to assess the level of quality of life and related factors among the elderly in Korea. In particular, we focused on factors affecting the quality of life of the elderly in long term care. We used the third Korean National Health and Nutrition Examination Surveys (KNHANES) from 2005. We sampled a total of 3,571 (10.5%) elderly from the national survey. We compared the mean of quality of life to socioeconomic status, Activities of Daily Living (ADL), health behavior, and disease variables. We used EuroQol-5D among KNHANES to assess the quality of life. In this study, the mean score of the quality of life among the elderly was 2.57. Logistic regression showed that the elderly who were male, with spouses, with health insurance, and with good ADL levels enjoyed higher quality of life scores and odds ratios than those who were female, divorced, uninsured, and with low ADL levels (p<.05). The quality of life of the elderly was affected by socioeconomic, ADL, health behavior and disease variables. To improve long term care and the quality of life among the elderly, we need detailed research to clarify the effects of these factors.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.4
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• pp.497-505
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• 2009

Purpose: The purpose of this study was to identify the level of quality of life and gender differences in predictors of quality of life among patients with coronary artery disease. Methods: Participants for this descriptive survey were 67 men and 65 women who signed informed consents. They were patients who had undergone coronary artery bypass graft surgery or percutaneous transluminal coronary angioplasty, or were on medication therapy after a heart attack. The Short-Form Health Survey (SF-36), Personal Resource Questionnaire-part (II), and the Center for Epidemiologic Studies Depression Scale were used to measure quality of life, social support, and depression respectively. Gender and age were controlled because they were reported as influencing factors in previous studies. Results: There were significant differences in depression and quality of life between men and women however, social support was not significantly different by gender. In multiple regression analysis, depression was a significant predictor and explained 51.9% of quality of life for men. In women, depression and social support were significant predictors and explained 50.9% of quality of life. Conclusion: Factors influencing quality of life for men and women were different, and therefore, nurses need to consider their patients' gender and use specific strategies to improve quality of life for patients with coronary artery disease.

• Korean Journal of Adult Nursing
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• v.26 no.3
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• pp.310-319
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• 2014

Purpose: The purpose of this study was to examine the relationships among perceived health, parental stress, social support, and quality of life of grandparent caregivers and to identify the factors influencing quality of their life. Methods: A descriptive correlational design was used. The data were collected by questionnaires from a convenience sample of 130 participants taking care of their grandchildren from ten children's daycare centers in Seoul, Korea from August to September, 2013. Data were analyzed using t-test, ANOVA, Pearson's correlation efficients, and multiple regressions. Results: Perceived health, parental stress and social support were correlated significantly with quality of life. As a result of the multiple regression analysis, education level, age of grandchildren, perceived health, parental stress and social support accounted for 48% of the variance in quality of life. Perceived health, parental stress, and social support were identified as factors influencing quality of life and the variable that most affected quality of life was perceived health. Conclusion: The results of the study indicate that health of people taking care of their grandchildren must be promoted while relieving their parental stress with appropriate social support in order to improve quality of life.