the impact of demographic factors and blood sugar control on the incidence of urinary tract infections in khorramabad in 2013

background diabetes is one of the most serious metabolic disorders to affect different organs in the body. patients with diabetes are hence at risk of developing other problems. urinary tract infections (uti) are one of the problems that occur more commonly in diabetic patients than in others. there are several risk factors that lead to the incidence of uti in diabetic patients. conclusions we found that age, gender, occupation, and the type of medication used are all risk factors for the incidence of uti in diabetic patients. other factors such as literacy, marital status, addiction, and history of hospitalization did not have any significant association with the incidence of uti in diabetic patients. results the incidence of uti increased significantly with increasing age (p = 0.009). the incidence of uti was higher among females than among males, and it was higher among unemployed people than among those in other occupations. the prevalence of uti among patients who control their diabetes through diet and exercise was lower than that among those undergoing other types of treatment; however, no significant relationship was found between the different types of oral medication and the incidence of uti. we did not find any relationship between the incidence of uti in diabetic patients and other factors such as literacy, marital status, bmi, addiction, history of hospitalization, and level of hba1c. objectives we conducted this study to determine the effect of different factors on the incidence of uti in diabetic patients in order to decrease the incidence of this problem. patients and methods in this cross-sectional study, data concerning 233 patients who were referred to the largest diabetes center in khorramabad, lorestan province, iran, were recorded. the relationships between various factors and the incidence of uti in these patients were evaluated using spss version 16. we used chi-square and logistic regression to analyze the data. a p < 0.05 was considered to be statistically significant.