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      Prevalence and Determinants of Peripheral Neuropathy among Type 2 Adult Diabetes Patients Attending Jimma University Medical Center, Southwest Ethiopia, 2019, an Institutional-Based Cross-Sectional Study

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          Abstract

          Background. Diabetes chronic complications are major causes of morbidity and mortality, among which diabetic peripheral neuropathy (DPN) stands out. One of the tools to screen DPN is the Michigan neuropathy screening instrument. However, there is no data compiled using this tool to assess the prevalence and its determinants in Jimma. So, the aim of this study was to assess the prevalence of DPN and its determinants among patients with diabetes mellitus at Jimma University Medical Center . Methods. A hospital-based cross-sectional study was conducted at Jimma University Medical Center on 366 type 2diabetic patients. Data were collected using pretested structured questionnaire and entered into EpiData 3.1 and exported to SPSS version 20 for analysis. Both bivariate and multivariate binary logistic regressions were employed to identify factors associated with DPN. A variable having a p value of < 0.25 in the bivariate model was subjected to multivariate analysis to avoid confounding variable’s effect. Adjusted odds ratios were calculated at 95% confidence interval and considered significant with a p value of ≤ 0.05. Results. The mean age of participants was 50.1 ± 14.28 years. The study finding showed that the prevalence of DPN was 53.6% among study participants. According to the multivariate logistic regression age above 40 years ( AOR = 4.57 ; 95% CI: 1.50, 13.9), above 50 years ( AOR = 6.5 ; 95% CI: 2.24, 18.79), duration of diabetes above 5 years ( AOR = 3.06 ; 95% CI: 1.63, 5.77), duration above 10 years ( AOR = 7.1 ; 95% CI: 2.99, 17.28), physical inactivity ( AOR = 2.02 ; 95% CI: 1.14, 3.55), and smoking (current smoker AOR = 7.96 , 95% CI: 3.22, 19.64; former smoker ( AOR = 2.65 ; 95% CI: 1.22, 5.77) were independent predictors of DPN among study participants. Conclusion. Almost half of the study participants had DPN. Age above 40 years, diabetes duration of above 5 years, physical inactivity, and smoking were significantly associated with DPN. Early detection and appropriate interventions are important among patients with age above 40 years, physically inactive, smokers, and diabetes duration of above 5 years.

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          Most cited references39

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          Diabetic Neuropathies: A statement by the American Diabetes Association

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            Use of the Michigan Neuropathy Screening Instrument as a measure of distal symmetrical peripheral neuropathy in Type 1 diabetes: results from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications.

            The Michigan Neuropathy Screening Instrument (MNSI) is used to assess distal symmetrical peripheral neuropathy in diabetes. It includes two separate assessments: a 15-item self-administered questionnaire and a lower extremity examination that includes inspection and assessment of vibratory sensation and ankle reflexes. The purpose of this study was to evaluate the performance of the MNSI in detecting distal symmetrical peripheral neuropathy in patients with Type 1 diabetes and to develop new scoring algorithms.
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              The rising global burden of diabetes and its complications: estimates and projections to the year 2010.

              Prevention and control programmes are needed to stem the rising epidemic of diabetes and its complications. However, these will not occur unless governments and public health planners are aware of the potential problem. Using published prevalence rates for NIDDM in different populations, and the current and projected age distributions, worldwide prevalence of NIDDM was estimated for 1995 and 1997, and well as projections for 2000 and 2010. Prevalence rates used for projections were chosen to reflect changes in lifestyle with economic development. The global prevalence of IDDM was estimated using published incidence rates and population figures, incorporating the likely survival time from development of IDDM. Data on diabetes complications are also summarised but no attempt has been made to extrapolate to a global estimated. In 1997, an estimated 124 million people worldwide have diabetes, 97% of these having NIDDM. By the year 2010 the total number of people with diabetes is projected to reach 221 million. The regions with the greatest potential increases are Asia and Africa, where diabetes rates could rise to 2 or 3 times those experienced today. With improvements in the treatment of IDDM, the prevalence of this form of diabetes is likely to increase as more people survive for longer after diagnosis. Increases in complications will undoubtedly follow increasing prevalence of diabetes, but population-based studies using standardised methods of diagnosis are required before reliable estimates of the extent of the problem can be made. It is hoped that the information provided in this report, and others like it, will act as an incentive to initiate or improve local diabetes monitoring and prevention strategies.
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                Author and article information

                Journal
                Journal of Diabetes Research
                Journal of Diabetes Research
                Hindawi Limited
                2314-6745
                2314-6753
                June 29 2020
                June 29 2020
                : 2020
                : 1-8
                Affiliations
                [1 ]Department of Biomedical Sciences (Clinical Anatomy), College of Medical Sciences, Institute of Health Sciences, Jimma University, Ethiopia
                [2 ]Department of Biomedical Sciences (Medical Biochemistry), College of Medical Sciences, Institute of Health Sciences, Jimma University, Ethiopia
                [3 ]Department of Biomedical Sciences (Medical Physiology), College of Medical Sciences, Institute of Health Sciences, Jimma University, Ethiopia
                [4 ]Department of Biomedical Sciences (Clinical Anatomy), College of Medical Sciences, Wollega University, Ethiopia
                [5 ]Department of Medical laboratory Sciences (Medical Microbiology), College of Health Sciences, Mizan-Tepi University, Ethiopia
                Article
                10.1155/2020/9562920
                04bd1a3e-48d2-44c1-a3b6-4889f10d5bc6
                © 2020

                http://creativecommons.org/licenses/by/4.0/

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