Jihyun Oh; Myungsun Yi

doi:10.4040/jkan.2014.44.1.75

Articles

Page Path: HOME > J Korean Acad Nurs > Volume 44(1); 2014 > Article

Original Article
Structural Equation Modeling on Quality of Life in Older Adults with Osteoarthritis: Jihyun Oh, Myungsun Yi; Journal of Korean Academy of Nursing 2014;44(1):75-85.
DOI: https://doi.org/10.4040/jkan.2014.44.1.75
Published online: February 28, 2014

College of Nursing, The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.

Address reprint requests to: Oh, Ji Hyun. College of Nursing, The Research Institute of Nursing Science, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 110-799, Korea. Tel: +82-2-740-8839, Fax: +82-2-740-8845, forshun@hanmail.net

• Received: August 31, 2013 • Revised: September 11, 2013 • Accepted: January 13, 2014

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

24 Views
0 Download
24 Scopus

prev next

Full Article

Download PDF

Abstract
NOTES
REFERENCES

Abstract

Purpose
The aim of this study was to explore how individual factors, physiologic factors, symptoms, environmental factors, functional status and health perception predict the quality of life (QOL) for older adults with osteoarthritis and to provide guidelines for interventions and strategies to improve QOL in these patients. The conceptual model was based on the Wilson and Cleary's Model.
Methods
Data were analyzed using SPSS WIN 20.0 and AMOS 19.0 program.
Results
The proposed model was a good fit for the data based on the model fit indices. Based on the constructed model, individual factors, social support, functional status and health perception were founded to have direct effects on QOL. Symptom had a indirect effect on QOL. Social support had a significant effect on QOL, and this model explained 63.6% of the variance in QOL.
Conclusion
The results of this study suggest that nursing strategies to increase QOL in this population should contain social support to promote QOL and manage functional limitations and health perception.
Keywords: Elderly osteoarthritis; Health attitude; Limitation of activity; Quality of life; Social support

This manuscript is based on a part of the first author's doctoral dissertation from Seoul National University.

REFERENCES

1. Segal NA, Wallace R. Tolerance of an aquatic power training program by older adults with symptomatic knee osteoarthritis. Arthritis. 2012;2012:895495. http://dx.doi.org/10.1155/2012/895495Article PMC PDF
2. Son CK, Doh SR, Jang YS, Kim EJ, Shin ES, Jin JH. 2011 Patient survey. Seoul: Ministry of Health & Welfare, The Korea Institute for Health and Social Affairs; 2012.
3. Brady T. Strategies to support self-management in osteoarthritis: Five categories of interventions, including education. Orthop Nurs. 2012;31(2):124–130. http://dx.doi.org/10.1097/NOR.0b013e31824fcf47PubMed
4. Alkan BM, Fidan F, Tosun A, Ardiçoglu O. Quality of life and self-reported disability in patients with knee osteoarthritis. Mod Rheumatol. 2014;24(1):166–171.Article PubMed
5. Kim IJ, Kim HA, Seo YI, Jung YO, Song YW, Jeong JY, et al. Prevalence of knee pain and its influence on quality of life and physical function in the Korean elderly population: A community based cross-sectional study. J Korean Med Sci. 2011;26(9):1140–1146. http://dx.doi.org/10.3346/jkms.2011.26.9.1140Article PubMed PMC PDF
6. Ozcetin A, Ataoglu S, Kocer E, Yazici S, Yildiz O, Ataoglul A, et al. Effects of depression and anxiety on quality of life of patients with rheumatoid arthritis, knee osteoarthritis and fibromyalgia syndrome. West Indian Med J. 2007;56(2):122–129.Article PubMed
7. Papakostidou I, Dailiana ZH, Papapolychroniou T, Liaropoulos L, Zintzaras E, Karachalios TS, et al. Factors affecting the quality of life after total knee arthroplasties: A prospective study. BMC Musculoskelet Disord. 2012;13:116. http://dx.doi.org/10.1186/1471-2474-13-116Article PubMed PMC PDF
8. Zakaria ZF, Bakar AA, Hasmoni HM, Rani FA, Kadir SA. Health-related quality of life in patients with knee osteoarthritis attending two primary care clinics in Malaysia: A cross-sectional study. Asia Pac Fam Med. 2009;8(1):10. http://dx.doi.org/10.1186/1447-056x-8-10Article PubMed
9. Blixen CE, Kippes C. Depression, social support, and quality of life in older adults with osteoarthritis. Image J Nurs Sch. 1999;31(3):221–226.Article PubMed
10. Wilson IB, Cleary PD. Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes. JAMA. 1995;273(1):59–65.PubMed
11. Heo S, Moser DK, Riegel B, Hall LA, Christman N. Testing a published model of health-related quality of life in heart failure. J Card Fail. 2005;11(5):372–379.Article PubMed
12. Phaladze NA, Human S, Dlamini SB, Hulela EB, Hadebe IM, Sukati NA, et al. Quality of life and the concept of "living well" with HIV/AIDS in sub-Saharan Africa. J Nurs Scholarsh. 2005;37(2):120–126.Article PubMed
13. Schulz T, Niesing J, Stewart RE, Westerhuis R, Hagedoorn M, Ploeg RJ, et al. The role of personal characteristics in the relationship between health and psychological distress among kidney transplant recipients. Soc Sci Med. 2012;75(8):1547–1554. http://dx.doi.org/10.1016/j.socscimed.2012.05.028Article PubMed
14. Halvorsrud L, Kirkevold M, Diseth A, Kalfoss M. Quality of life model: Predictors of quality of life among sick older adults. Res Theory Nurs Pract. 2010;24(4):241–259.Article PubMed
15. Creamer P, Lethbridge-Cejku M, Hochberg MC. Factors associated with functional impairment in symptomatic knee osteoarthritis. Rheumatology (Oxford). 2000;39(5):490–496.Article PubMed
16. Jakobsson U, Hallberg IR. Pain and quality of life among older people with rheumatoid arthritis and/or osteoarthritis: A literature review. J Clin Nurs. 2002;11(4):430–443.Article PubMed
17. Henderson WA, Martino AC, Kitamura N, Kim KH, Erlen JA. Symptom status predicts patient outcomes in persons with HIV and comorbid liver disease. AIDS Res Treat. 2012;2012:169645. http://dx.doi.org/10.1155/2012/169645Article PubMed PMC PDF
18. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705–714.Article PubMed
19. Penckofer S, Ferrans CE, Fink N, Barrett ML, Holm K. Quality of life in women following coronary artery bypass graft surgery. Nurs Sci Q. 2005;18(2):176–183. http://dx.doi.org/10.1177/0894318405274832Article PubMed PDF
20. Park CS. Amos structural equation modeling. Seoul: Chung-Ang University the Research Center for Data Science; 2013.
21. Bellamy N, Buchanan WW, Goldsmith CH, Campbell J, Stitt LW. Validation study of WOMAC: A health status instrument for measuring clinically important patient relevant outcomes to antirheumatic drug therapy in patients with osteoarthritis of the hip or knee. J Rheumatol. 1988;15(12):1833–1840.PubMed
22. Sheikh JI, Yesavage JA. Geriatric depression scale (GDS): Recent evidence and development of a shorter version. Clin Gerontol. 1986;5(1-2):165–173. http://dx.doi.org/10.1300/J018v05n01_09
23. Ware JE. Health perception questionnaire, instruments for measuring nursing practices and other health care variables. Hyattsville, MD: DHEW Publication; 1979.
24. The WHOQOL Group. The World Health Organization Quality of Life assessment (WHOQOL): Position paper from the World Health Organization. Soc Sci Med. 1995;41(10):1403–1409.Article PubMed
25. Min SK, Lee CI, Kim KI, Suh SY, Kim DK. Development of Korean version of WHO quality of life scale abbreviated version (WHOQOL-BREF). J Korean Neuropsychiatr Assoc. 2000;39(3):571–579.
26. Tessier A, Zavorsky GS, Kim do J, Carli F, Christou N, Mayo NE. Understanding the determinants of weight-related quality of life among bariatric surgery candidates. J Obes. 2012;2012:713426. http://dx.doi.org/10.1155/2012/713426Article PubMed PMC PDF
27. Lee HY. Structural equation modeling on quality of life in patients with rheumatoid arthritis [dissertation]. Chuncheon, Kangwon National University. 2013.

Figure 1

Conceptual framework of this study.

Figure 2

Path diagram for the modified model.

Table 1

Descriptive Statistics of Observed Variables (N=180)

Table 2

Comparison of Model Fit for the Modified Model to the Hypothetical Model

GFI=Goodness of Fit Index; RMSEA=Root mean squared error of approximation; NFI=Normed Fit Index; CFI=Comparative Normed of Fit Index; TLI=Tucker-Lewis Index; PGFI=Parsimonious Goodness of Fix Index; PNFI=Parsimonious Normed Fit Index.

Table 3

Standardized Direct, Indirect, and Total Effects for the Modified Model

^*p<.05; ^†p<.01; β=Standardized regression weight; SMC=Squared multiple correlation (R²); C.R.=Critical ratio.

Figure & Data

REFERENCES

Citations

Citations to this article as recorded by

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

Structural Equation Modeling on Quality of Life in Older Adults with Osteoarthritis

J Korean Acad Nurs. 2014;44(1):75-85. Published online February 28, 2014

DOI: https://doi.org/10.4040/jkan.2014.44.1.75

XML Download

Figure

We recommend

Related articles

Structural Equation Modeling on Quality of Life in Older Adults with Osteoarthritis

Figure 1 Conceptual framework of this study.

Figure 2 Path diagram for the modified model.

Figure 1

Figure 2

Structural Equation Modeling on Quality of Life in Older Adults with Osteoarthritis

Table 1

Descriptive Statistics of Observed Variables (N=180)

Table 2

Comparison of Model Fit for the Modified Model to the Hypothetical Model

Table 3

Standardized Direct, Indirect, and Total Effects for the Modified Model

^*p<.05; ^†p<.01; β=Standardized regression weight; SMC=Squared multiple correlation (R²); C.R.=Critical ratio.

Table 1 Descriptive Statistics of Observed Variables (N=180)

Table 2 Comparison of Model Fit for the Modified Model to the Hypothetical Model

Table 3 Standardized Direct, Indirect, and Total Effects for the Modified Model

^*p<.05; ^†p<.01; β=Standardized regression weight; SMC=Squared multiple correlation (R²); C.R.=Critical ratio.