Abstract
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
Risk factors Neuropathy Type II diabetes Diabetic knowledge Glycosylated hemoglobin
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