Cover image of the article: Individual, Psycho-Social and Disease-Related Risk Factors in Diabetic Neuropathy

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Individual, Psycho-Social and Disease-Related Risk Factors in Diabetic Neuropathy

Authors

Isaac Rahimian-Boogar1,*, Mohammad Reza Mohajeri-Tehrani2, Negin Anbari-Maybodi1, Masoomeh Nikfarjam-Haftasia1
1Department of Psychology, Faculty of Psychology and Educational Sciences, Semnan University, Semnan, Iran
2Department of Endocrinology and Metabolism, Tehran University of Medical Sciences, Tehran, Iran
*Corresponding Author: Department of Psychology, Faculty of Psychology and Educational Sciences, Semnan University, Semnan, Iran Email: eshaghrahimian@yahoo.com

Zahedan Journal of Research in Medical Sciences:Vol. 14, issue 9; e93224
Published online:Oct 16, 2012
Article type:Research Article
Received:May 12, 2011
Accepted:May 25, 2011
How to Cite:Rahimian-Boogar I, Mohajeri-Tehrani MR, Anbari-Maybodi N, Nikfarjam-Haftasia M. Individual, Psycho-Social and Disease-Related Risk Factors in Diabetic Neuropathy. Zahedan J Res Med Sci. 2012;14(9):e93224. doi:

Abstract

Background : Neuropathy is the mostly prevalent of complications and the major cause of amputation, pain and disability in patients with diabetes. The purpose of this study was to investigate the role of individual, psycho-social, and disease-related risk factors in neuropathy of type 2 diabetes patients.
Materials and Methods : In this retrospective cross-sectional study, 271 patients with type 2 diabetes were selected by convenience sampling in diabetic outpatient clinics of Tehran University of Medical Sciences and the Iranian Diabetic Association. The data were collected by demographical and disease characteristics questionnaires and DASS-42, QOLS, DSMS, and DKS scales. Then, the data were analyzed by r binary logistic regression along with PASW software.
Results : Socio-economic status, glycosylated hemoglobin, body mass index, diabetes self-management, depression, quality of life, diabetes knowledge, and diabetes duration were significantly able to differentiate diabetic patients with neuropathy from diabetic patients without neuropathy (p<0.001). Gender, treatment type and patient age were not significantly able to differentiate two groups (p>0.05). The total regression model explained that 95.2% of cases were classified correctly.
Conclusion : Inappropriate socio-economic status, glycosylated hemoglobin over 9%, being overweight and obesity, poor diabetes self-management, clinical depression, low quality of life, poor diabetes knowledge, and longer diabetes duration contribute to the incidence of neuropathy in patients with type 2 diabetes and attention must be paid to them for neuropathy prevention.

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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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