Open Access, Peer-reviewed
eISSN 2093-758X
    J Korean Acad Nurs. 2011 Aug;41(4):481-490. Korean.
    Published online Aug 31, 2011.
    https://doi.org/10.4040/jkan.2011.41.4.481
    © 2011 Korean Society of Nursing Science
    Original Article

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

    Heeyoung So,1 Hyunli Kim,1 and 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, Email: hysoh@cnu.ac.kr
    Received November 17, 2010; Accepted August 04, 2011.

    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

    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.

    Tables

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

    Table 2
    Direct Effect, Indirect Effect, and Total Effect in Modified Path Model (N=334)

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    MeSH Terms
    Models, Psychological*
    Quality of Life*
    Activities of Daily Living
    Aged
    Aged, 80 and over
    Depression
    Female
    Humans
    Leisure Activities
    Male
    Questionnaires
    Socioeconomic Factors
    Metrics
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