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J Korean Gerontol Nurs > Volume 16(2):2014 > Article

Original Article

J Korean Gerontol Nurs. 2014 Aug;16(2):107-117. Korean.
Published online Aug 31, 2014.  http://dx.doi.org/10.17079/jkgn.2014.16.2.107
© 2014 Korean Gerontological Nursing Society
Factors Predicting Quality of Life among Older Adults in Rehabilitation Hospitals after Stroke
Eun-Mi Oh,*and Gwi-Ryung Son Hong
College of Nursing, Hanyang University, Seoul, Korea.

*Corresponding author: Oh, Eun-Mi. College of Nursing, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea. Tel: +82-2-2220-4711, Fax: +82-2-2295-2074, Email: heartnsg@naver.com
Received December 26, 2013; Revised April 10, 2014; Accepted May 06, 2014.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.



The purpose of the study was to explore the predictive factors of quality of life among older adults who had a stroke.


A descriptive study was conducted from January to March 2010. Face-to-face interviews were done with 92 older adults with a stroke and hospitalized in one of 4 rehabilitation hospitals in Seoul and Gyeonggi Province, Korea. Measures included perceived health, activities of daily living (ADL), depression, and quality of life. Data were analyzed using t-test, ANOVA, Pearson's correlation and multiple regression.


Mean score for quality of life for these elders was 41.29. Quality of life was significantly different according to difficulty in daily life due to pain or language disorder. Quality of life was positively associated with perceived health state and ADL, and negatively associated with depression. With multiple regression, the main variables explained 60.5% of the variance in quality of life. Depression was the strongest predictor for quality of life among older adults with a stroke. Perceived health and difficulty in daily life due to pain were also significant predictors for quality of life.


Nursing interventions for this population must strive to increase perceived health status and decrease depression and difficulty in daily life due to pain.

Keywords: Aged, Stroke, Depression, Quality of life.


Table 1
Demographic and Disease-related Characteristics of Subjects (N=92)

Table 2
Mean and Standard Deviations for Main Variables (N=92)

Table 3
Quality of Life by Demographic and Disease related Characteristics (N=92)

Table 4
Correlations among Main Variables (N=92)

Table 5
Predictive Factors for Quality of Life (N=92)


This article is a part of the first author's master thesis from Hanyang University.

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