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

1. Bae JH, Lee HK, Kim HS, Oh HJ. A study on activities of daily living, mental status and life satisfaction of the elderly living in home and in institutions. Journal of Korean Society of Physical Therapy. 2008;20(2):33–41.
2. Bae NR, Park CS. A study on the ecological factors affecting the quality of life among the elderly people. Journal of the Korean Gerontological Society. 2009;29:761–779.
3. Bassuk SS, Glass TA, Berkman LF. Social disengagement and incident cognitive decline in community-dwelling elderly persons. Annals of Internal Medicine. 1999;131:165–173. url: annals.org/content/131/3/165.Article PubMed
4. Breeze E, Jones DA, Wilkinson P, Latif AM, Bulpitt CJ, Fletcher AE. Association of quality of life in old age in Britain with socioeconomic position: Baseline data from a randomized controlled trial. Journal of Epidemiology and Community Health. 2004;58:667–673. doi: 10.1136/jech.2003.014035.PubMed PMC
5. Chang KY, Kang JM. The study of activities of daily living performance and quality of life for elderly residents in the Daejeon city. Journal of Korean Academy of Occupational Therapy. 2005;13(1):45–56.
6. Cumming E, Henry WE. Growing old: The process of disengagement. 1961;New York, Basic Books.
7. Dragomirecka E, Bartonova J, Eisemann M, Kalfoss M, Kilian R, Martiny K, et al. Demographic and psychosocial correlates of quality of life in the elderly from a cross-cultural perspective. Clinical Psychology and Psychotherapy. 2008;15:193–204. doi: 10.1002/cpp.571.Article PubMed
8. Gabriel Z, Bowling A. Quality of life from the perspectives of older people. Ageing & Society. 2004;24:675–691. doi: 10.1017/S0144686X03001582.Article
9. Jöreskog KG, Sörbom D. LISREL 7: A guide to the program and applications. 1989;Chicago, SPSS Publications.
10. Jung HY, Park BK, Shin HS, Kang YK, Pyun SB, Paik NJ, et al. Development of the Korean version of modified Barthel Index (K-MBI): Multi-center study for subjects with stroke. Journal of Korean Academy of Rehabilitation Medicine. 2007;31:283–297.
11. Kim JS. A study of quality of life of the elderly in rural areas. 2009;Gwangju, Chosun University. Unpublished master's thesis.
12. Kim MY. Factors that influence satisfaction level towards the life by the leisure activity of users of the senior citizens' leisure welfare facilities. 2009;Daegu, Daegu Haany University. Unpublished doctoral dissertation.
13. Kodzi IA, Obeng GS, Emina JC, Ezeh A. Religious involvement, social engagement, and subjective health status of older residents of informal neighborhoods of Nairobi. Journal of Urban Health. 2011;88:S370–S380. doi: 10.1007/s11524-010-9482-0.PubMed
14. Lee DH. The effects of quality of life in the elderly's health condition. Journal of the Korean Gerontological Society. 2010;30:93–108. doi: 210.101.116.28/47201167.
15. Lee MG. Inquiry into the life satisfaction of the Korean elderly through leisure activities. 2007;Chuncheon, Kangwon National University. Unpublished doctoral dissertation.
16. Lee YR, Park MS. An ecological study on the leisure and quality of life for those who reside in free institutionalized elderly homes: Applying a structural equation model. Journal of the Korean Home Economics Association. 2006;44(11):117–131.
17. Levasseur M, Tribble DS, Desrosiers J. Meaning of quality of life for older adults: Importance of human functioning components. Archives of Gerontology and Geriatrics. 2009;49:e91–e100. doi: 10.1016/J.archger.2008.08.013.Article PubMed
18. Lin PL, Yen M, Fetzer SJ. Quality of life in elders living alone in Taiwan. Journal of Clinical Nursing. 2008;17(12):1610–1617. doi: 10.1016/J.archger.2008.08.013.Article PubMed
19. Min SK, Lee CI, Kim KI, Suh SY, Kim DK. Development of Korean version of World Health Organization Quality of Life Scale abbreviated version (WHOQOL-BREF). Journal of Korean Neuropsychiatric Association. 2000;39:571–579.
20. 2008 Survey of the elderly: National elderly living conditions and welfare needs. Ministry of Health and Welfare. 2009;Retrieved August 16, 2010. from www.mw.go.kr.
21. Nóbrega TC, Jaluul O, Machado AN, Paschoal SM, Filho WJ. Quality of life and multimorbidity of elderly outpatients. Clinics. 2009;64:45–50. doi: 10.1590/S1807-59322209000100009.Article PubMed PMC
22. Moon MJ. Analysis on the structural model of life satisfaction for elderly home residents. Journal of Korean Gerontological Nursing. 2004;6:202–215.
23. Paskulin L, Vianna L, Molzahn AE. Factors associated with quality of life of Brazilian older adults. International Nursing Review. 2009;56:109–115. doi: 10.1111/J.1466-7657.2008.00671.Article PubMed
24. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. Journal of the American Geriatrics Society. 1974;23:433–441.Article
25. Sheikh JI, Yesavage JA. Geriatric Depression Scale (GDS): Recent evidence and development of shorter version. Clinical Gerontologist. 1986;5(1-2):165–173. doi: 10.1300/J018v05n0109.Article
26. Skevington LD, Lofty M, O'Connell KA. The World Health Organization's WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial a report from the WHOQOL Group. Quality of Life Research. 2004;13:299–310. doi: 10.1023/B:QURE.0000018486.91360.00.Article PubMed
27. Sohn S. A comparative study on the life quality of the elderly and it's affecting factors between rural and urban areas. Journal of the Korean Gerontological Society. 2006;26(3):601–615. doi: 210.101.116.28./47200849.
28. Korean statistical information service. Statistics Korea. 2007;Retrieved August 16, 2010. from http://kostat.go.kr.
29. WHOQOL Group. The World Health Organization Quality of Life Assessment (WHOQOL): Position paper from the World Health Organization. Social Science and Medicine. 1995;41(10):1403–1409. doi: 10.1016/0277-936(95)00110-K.Article PubMed
30. The international classification of functioning, disability and health-ICF. World Health Organization. 2001;Retrieved August 16, 2010. from http://www.who.int/classifications/icf/en/.

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

REFERENCES

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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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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.