Journal List > J Korean Acad Nurs > v.38(5) > 1002480

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Kim, Oh, Oh, Lee, Lee, Kim, Jun, and Kang: Quality of Life in Low Income Korean Aged
Original Article
Journal of Korean Academy of Nursing

Journal of Korean Academy of Nursing 2008; 38(5): 694-703.

Published online: 30 October 2008

DOI: https://doi.org/10.4040/jkan.2008.38.5.694

Quality of Life in Low Income Korean Aged

Hye-Ryoung Kim1, Kasil Oh2, Kyong-Ok Oh3, Sun-Ock Lee4, Sook-Ja Lee5, Jeong-Ah Kim6, Hoa-Yun Jun7, Jung-Hee Kang8

1Associate Professor, Department of Nursing, Inje University, Busan, Korea.

2Professor, College of Nursing, Yonsei University, Seoul, Korea.

3Professor, Department of Nursing, Chungnam University, Daejeon, Korea.

4Professor, Department of Nursing, Korean National Open University, Seoul, Korea.

5Professor, College of Nursing, Korea University, Seoul, Korea.

6Professor, Department of Nursing, Semyung University, Jecheon, Korea.

7Professor, Department of Nursing, Dongnam Health College, Suwon, Korea.

8Associate Professor, Department of Nursing, Kyungbok College, Pocheon, Korea.

Address reprint requests to: Kim, Hye-Ryoung. Department of Nursing, Inje University, 633-165 Gaegeum-dong, Busanjin-gu, Busan 614-735, Korea. Tel: 82-51-890-6835, Fax: 82-51-896-9840, nurhrk@inje.ac.kr

Received 8 April 2008       Accepted 1 October 2008

Copyright © 2008 Korean Society of Nursing Science

Abstract

Purpose

The purpose of this study was to identify the quality of life and its predictors in low income Korean aged.

Methods

This was a predictive correlational study. An accessible sample from the population of people who were 65 and over and were supported by the basic livelihood security system was 1,040. Quota sampling with strata of state division in the nation was chosen. Quality of life and its predictors in the subjects were measured.

Results

The mean quality of life in the subjects was 47.0±10.7. Predictors of this study significantly explained 54.3% of the total variance of quality of life. Depression was the most significant predictor of quality of life. Health problems, district, social support, leisure activity, and health behavior had effects on quality of life.

Conclusion

This finding indicates that quality of life in lower income Korean aged is different from other populations by economic status. Demographics, health status and social status were predictors of quality of life in the aged with a small income.

Keywords: Quality of life, Aged

Figures and Tables

Table 1
Description of Quality of Life (N=922)
jkan-38-694-i001
Table 2
Predictors of Quality of Life
jkan-38-694-i002

*Missing value excluded.

Table 3
Summary of Hierarchical Regression Analysis for Variables Predicting Quality of life
jkan-38-694-i003

*p<.05; **p<.001.

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