Heeyoung So; Hyunli Kim; Kyungok Ju

doi:10.4040/jkan.2011.41.4.481

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Prediction Model of Quality of Life in Elderly Based on ICF Model: Heeyoung So, Hyunli Kim, Kyungok Ju; Journal of Korean Academy of Nursing 2011;41(4):481-490.
DOI: https://doi.org/10.4040/jkan.2011.41.4.481
Published online: August 31, 2011

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: November 17, 2010 • Accepted: August 4, 2011

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Abstract
REFERENCES

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

REFERENCES

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Figure 1

International classification of functioning model.

Figure 2

The hypothetical model.

^*p<.05; ^**p<.01; y5=General quality of life; y6=General health quality of life; y7=Overall.

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.

Table 1

Model Fitness Index for Hypothetical and Modified Model (N=334)

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)

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

Figure & Data

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

J Korean Acad Nurs. 2011;41(4):481-490. Published online August 31, 2011

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

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Figure

We recommend

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

Figure 1 International classification of functioning model.

Figure 2 The hypothetical model. *p<.05; **p<.01; y5=General quality of life; y6=General health quality of life; y7=Overall.

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.

Figure 1

Figure 2

Figure 3

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

Table 1

Model Fitness Index for Hypothetical and Modified Model (N=334)

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)

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

Table 1 Model Fitness Index for Hypothetical and Modified Model (N=334)

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)

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