Prediction of Quality of Life of Non–Insulin-Dependent Diabetic Patients Based on Perceived Social Support

Authors

Hossein Shareh1,*, Esmaeil Soltani2, Ali Ghasemi3
1Assistant Professor of Clinical Psychology, School of Literature and Human Sciences, Sabzevar Tarbiat Moallem University, Sabzevar, Iran.
2MSc of Clinical Psychology, School of Education and Psychology, Shiraz University, Shiraz, Iran.
3Instructor of Educational Psychology, School of Education and Psychology, Islamic Azad University, Parsian Branch, Parsian, Iran.
*Corresponding Author: Assistant Professor of Clinical Psychology, School of Literature and Human Sciences, Sabzevar Tarbiat Moallem University, Sabzevar, Iran. Email: [email protected]

Zahedan Journal of Research in Medical Sciences:Vol. 14, issue 2; e93590
Published online:Jan 12, 2012
Article type:Brief Report
Received:Apr 13, 2011
Accepted:May 25, 2011
How to Cite:Shareh H, Soltani E, Ghasemi A. Prediction of Quality of Life of Non–Insulin-Dependent Diabetic Patients Based on Perceived Social Support. Zahedan J Res Med Sci. 2012;14(2):e93590. doi:

Abstract

Background: The objective of this study was to predic quality of life based on perceived social support components in non–insulin-dependent diabetic patients.
Materials and Method: Fifty patients with non–insulin-dependent diabetes mellitus from Al-Zahra diabetic center in Shiraz participated in a cross-sectional study via survey instrument. All subjects completed multidimensional scale of perceived social support (MSPSS) and world health organization quality of life- brief (WHOQOL-BREF) questionnaires.
Results: On the basis of stepwise multiple regression analysis friends and family dimensions of perceived social support were the best predictors of the quality of life and its dimensions (p<0.01).
Conclusion: Friends and family dimensions of perceived social support have significant contributions in predicting quality of life of patients with non–insulin-dependent diabetes mellitus. [ZJRMS, 2012 14(2): 82-85]

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Copyright

© 2012, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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