Hye-Ryoung Kim; Kasil Oh; Kyong-Ok Oh; Sun-Ock Lee; Sook-Ja Lee; Jeong-Ah Kim; Hoa-Yun Jun; Jung-Hee Kang

doi:10.4040/jkan.2008.38.5.694

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Original Article
Quality of Life in Low Income Korean Aged: Hye-Ryoung Kim, Kasil Oh, Kyong-Ok Oh, Sun-Ock Lee, Sook-Ja Lee, Jeong-Ah Kim, Hoa-Yun Jun, Jung-Hee Kang; Journal of Korean Academy of Nursing 2008;38(5):694-703.
DOI: https://doi.org/10.4040/jkan.2008.38.5.694
Published online: October 30, 2008

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: April 8, 2008 • Accepted: October 1, 2008

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Abstract
REFERENCES

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

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Table 1

Description of Quality of Life (N=922)

Table 2

Predictors of Quality of Life

^*Missing value excluded.

Table 3

Summary of Hierarchical Regression Analysis for Variables Predicting Quality of life

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

Figure & Data

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Quality of Life in Low Income Korean Aged

J Korean Acad Nurs. 2008;38(5):694-703. Published online October 30, 2008

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

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Quality of Life in Low Income Korean Aged

Table 1

Description of Quality of Life (N=922)

Table 2

Predictors of Quality of Life

^*Missing value excluded.

Table 3

Summary of Hierarchical Regression Analysis for Variables Predicting Quality of life

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

Table 1 Description of Quality of Life (N=922)

Table 2 Predictors of Quality of Life

^*Missing value excluded.

Table 3 Summary of Hierarchical Regression Analysis for Variables Predicting Quality of life

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