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

Isaac Rahimian-Boogar; Mohammad Reza Mohajeri-Tehrani; Negin Anbari-Maybodi; Masoomeh Nikfarjam-Haftasia

Zahedan Journal of Research in Medical Sciences

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

Author(s):

Isaac Rahimian-Boogar^1,*,

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

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:Isaac Rahimian-BoogarMohammad Reza Mohajeri-TehraniNegin Anbari-MaybodiMasoomeh Nikfarjam-HaftasiaIndividual, Psycho-Social and Disease-Related Risk Factors in Diabetic Neuropathy.Zahedan J Res Med Sci.14(9):e93224.

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.

Keywords

Glycosylated hemoglobin

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