2.50
Hdl Handle:
http://hdl.handle.net/10755/150217
Type:
Presentation
Title:
Predictors of Quality of Life Among Community Elders in Korea
Abstract:
Predictors of Quality of Life Among Community Elders in Korea
Conference Sponsor:Sigma Theta Tau International
Conference Year:2001
Conference Date:November 10 - 14, 2001
Author:Kim, Hye-Ryoung
P.I. Institution Name:Inje University
Title:Assistant Professor
OBJECTIVE: The objective of this study was to identify the predictors of quality of life and the predictive relationship between the predictors and quality of life among community elders in Korea. SIGNIFICANCE OF RESEARCH PROBLEM: Because, in Korea, there has been increased numbers of elders with a poverty and social isolation, health professionals have recently focused on quality of life among community elders. According to prior studies, their sociodemographic characteristics and psychological status affects quality of life. This study conducted to identify the predictive relationship between predictors such as sociodemographics and psychological status and quality of life among community elders in Korea. CONCEPTS AND VARIABLES: This study was conducted based on the association between sociodemographic characteristics, psychological status and quality of life. Sociodemographics such as age, education level and income and psychological status such as depression, perceived loneliness and self-esteem were selected as predictors of quality of life. METHODES: Design: This is a descriptive study using cross-sectional design. Sample: The subjects for this study were 531 elders who were living at the local area where the government has been supporting financially. The subjects ranged in age from 62years to 92years and the mean age was 72.83(SD=5.56). 64.1% were women, and 35.9% were men. 42.9% were living with spouses, 51.6% were living without spouses. The mean of the subjects’ income was 314 US dollars (SD=351.70) a month and the range was 5- 2,727 US dollars a month. The subjects had a mean education level of 4.4 years (SD=3.66) with a range of 0-13. Procedure: 1. The pilot study was conducted Mar. 26, 2000 to decide variable s to be tested as predictors of quality of life and revise the instruments to be used in this study. 2. The training of 17 data collectors repeated until the results of interviews were consistent. 3. Data collection was performed by trained interviewers individually in subjects’ house from April 3 to August 10, 2000. Quality of life Scale using instrument developed by Noh, perceived loneliness using revised UCLA Loneliness scale, depression using Geriatric Depression Scale developed by Yesavage, self esteem using instrument developed by Rosenberg, and sociodemographics such as age, education, income were measured. All the instruments were Korean version. Data analysis: Hierarchical multiple regression model was used to examine the relationship between quality of life and its’ predictors. SUMMARY OF RESULTS: Sociodemographics such as age, income and education, and psychological factors such as depression, self esteem and perceived loneliness significantly explained 76.6% of the total variance of quality of life (F=180.997, P=.000). Depression was the most significant predictor of quality of life (beta=-.438, P=.000). Self esteem (beta=.301, P=.000) was the second most significant correlated variable of quality of life. Loneliness (beta=-.242, P=.000) and education level(beta=.094, P=.002) had effects on quality of life. CONCLUSION: Significant relationships were found between predictors such as depression, self esteem, perceived loneliness and education, and quality of life. Among predictors, depression was the most highly related and explained a significant amount of quality of life. Through this finding, it can be concluded that severe depression and perceived loneliness, and lower self-esteem and education level will affect quality of life negatively. The findings of this study will provide the grounds for assessment and intervention of quality of life among community elders in Korea.
Repository Posting Date:
26-Oct-2011
Date of Publication:
10-Nov-2001
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePredictors of Quality of Life Among Community Elders in Koreaen_GB
dc.identifier.urihttp://hdl.handle.net/10755/150217-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Predictors of Quality of Life Among Community Elders in Korea</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2001</td></tr><tr class="item-conference-date"><td class="label">Conference Date:</td><td class="value">November 10 - 14, 2001</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Kim, Hye-Ryoung</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Inje University</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">nurhrk@injc.inje.ac.kr</td></tr><tr><td colspan="2" class="item-abstract">OBJECTIVE: The objective of this study was to identify the predictors of quality of life and the predictive relationship between the predictors and quality of life among community elders in Korea. SIGNIFICANCE OF RESEARCH PROBLEM: Because, in Korea, there has been increased numbers of elders with a poverty and social isolation, health professionals have recently focused on quality of life among community elders. According to prior studies, their sociodemographic characteristics and psychological status affects quality of life. This study conducted to identify the predictive relationship between predictors such as sociodemographics and psychological status and quality of life among community elders in Korea. CONCEPTS AND VARIABLES: This study was conducted based on the association between sociodemographic characteristics, psychological status and quality of life. Sociodemographics such as age, education level and income and psychological status such as depression, perceived loneliness and self-esteem were selected as predictors of quality of life. METHODES: Design: This is a descriptive study using cross-sectional design. Sample: The subjects for this study were 531 elders who were living at the local area where the government has been supporting financially. The subjects ranged in age from 62years to 92years and the mean age was 72.83(SD=5.56). 64.1% were women, and 35.9% were men. 42.9% were living with spouses, 51.6% were living without spouses. The mean of the subjects&rsquo; income was 314 US dollars (SD=351.70) a month and the range was 5- 2,727 US dollars a month. The subjects had a mean education level of 4.4 years (SD=3.66) with a range of 0-13. Procedure: 1. The pilot study was conducted Mar. 26, 2000 to decide variable s to be tested as predictors of quality of life and revise the instruments to be used in this study. 2. The training of 17 data collectors repeated until the results of interviews were consistent. 3. Data collection was performed by trained interviewers individually in subjects&rsquo; house from April 3 to August 10, 2000. Quality of life Scale using instrument developed by Noh, perceived loneliness using revised UCLA Loneliness scale, depression using Geriatric Depression Scale developed by Yesavage, self esteem using instrument developed by Rosenberg, and sociodemographics such as age, education, income were measured. All the instruments were Korean version. Data analysis: Hierarchical multiple regression model was used to examine the relationship between quality of life and its&rsquo; predictors. SUMMARY OF RESULTS: Sociodemographics such as age, income and education, and psychological factors such as depression, self esteem and perceived loneliness significantly explained 76.6% of the total variance of quality of life (F=180.997, P=.000). Depression was the most significant predictor of quality of life (beta=-.438, P=.000). Self esteem (beta=.301, P=.000) was the second most significant correlated variable of quality of life. Loneliness (beta=-.242, P=.000) and education level(beta=.094, P=.002) had effects on quality of life. CONCLUSION: Significant relationships were found between predictors such as depression, self esteem, perceived loneliness and education, and quality of life. Among predictors, depression was the most highly related and explained a significant amount of quality of life. Through this finding, it can be concluded that severe depression and perceived loneliness, and lower self-esteem and education level will affect quality of life negatively. The findings of this study will provide the grounds for assessment and intervention of quality of life among community elders in Korea.</td></tr></table>en_GB
dc.date.available2011-10-26T10:19:11Z-
dc.date.issued2001-11-10en_GB
dc.date.accessioned2011-10-26T10:19:11Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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