Journal List > J Korean Acad Nurs > v.41(4) > 1002731

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So, Kim, and Ju: Prediction Model of Quality of Life in Elderly Based on ICF Model
Original Article
Journal of Korean Academy of Nursing

Journal of Korean Academy of Nursing 2011; 41(4): 481-490.

Published online: 31 August 2011

DOI: https://doi.org/10.4040/jkan.2011.41.4.481

Prediction Model of Quality of Life in Elderly Based on ICF Model

Heeyoung So1, Hyunli Kim1, Kyungok Ju2

1Professor, Chungnam National University College of Nursing, Daejeon, Korea.

2Visiting Professor, Graduate School of Education, Chungnam National University, Daejeon, Korea.

Address reprint requests to: So, Heeyoung. College of Nursing, Chungnam National University, 1-6 Munwha-dong, Jung-gu, Daejeon 301-747, Korea. Tel: +82-42-580-8325, Fax: +82-42-580-8309, hysoh@cnu.ac.kr

Received 17 November 2010       Accepted 4 August 2011

© 2011 Korean Society of Nursing Science

Abstract

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) (β=.13, t=2.47), leisure activity (β=.55, t=5.04), social disengagement (β=-.25, t=-2.25), and depression (β=-.62, t=-10.86). Indirect factors including economic status (γ=.17, p=.009), type of residence (γ=.19, p=.004), ADL (γ=.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.

Keywords: Quality of life, Depression, Leisure activities, Activities of daily living, Aged

Figures and Tables

Figure 1
International classification of functioning model.
jkan-41-481-g001
Figure 2
The hypothetical model.
*p<.05; **p<.01; y5=General quality of life; y6=General health quality of life; y7=Overall.
jkan-41-481-g002
Figure 3
Path diagram for the modified model.
*p<.05; **p<.01; y5=General quality of life; y6=General health quality of life; y7=Overall.
jkan-41-481-g003
Table 1
Model Fitness Index for Hypothetical and Modified Model (N=334)
jkan-41-481-i001

GFI=Goodness of fit index; SRMR=Standardized root mean square residual; NNFI=Normed fit index; CFI=Comparative fit index; PNFI=Parsimonious normed fit index; RMSEA=Root mean square residual.

Table 2
Direct Effect, Indirect Effect, and Total Effect in Modified Path Model (N=334)
jkan-41-481-i002

SRW=Standardized regression weight; SMC=Squared multiple correlation.

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