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Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study
INTRODUCTION: The current estimate is that 463 million people worldwide have diabetes. In 2017, an estimated 5 million (9.9%) deaths worldwide among adults were caused by diabetes. The burden of disease associated with uncontrolled diabetes is substantial in terms of mortality and cardiovascular dis...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376794/ https://www.ncbi.nlm.nih.gov/pubmed/32583174 http://dx.doi.org/10.1007/s13300-020-00861-7 |
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author | Sheleme, Tadesse Mamo, Girma Melaku, Tsegaye Sahilu, Tamiru |
author_facet | Sheleme, Tadesse Mamo, Girma Melaku, Tsegaye Sahilu, Tamiru |
author_sort | Sheleme, Tadesse |
collection | PubMed |
description | INTRODUCTION: The current estimate is that 463 million people worldwide have diabetes. In 2017, an estimated 5 million (9.9%) deaths worldwide among adults were caused by diabetes. The burden of disease associated with uncontrolled diabetes is substantial in terms of mortality and cardiovascular disease. The aim of this study was to assess glycemic control level and its predictors among adult patients with diabetes. METHODS: A prospective observational study was conducted among patients with diabetes during follow-up at an ambulatory clinic of Mettu Karl referral hospital from 15 April to 09 August 2019. The consecutive sampling method was used to collect data, following which the data were entered into Epidata manager version 4.4.2 and exported to the SPSS version 24.0 statistical software package for analysis. Logistic regression analysis was performed to identify predictors of poor glycemic control. Variables whose significance level was < 0.05 (p value) were considered to be predictors of poor glycemic control. RESULTS: A total of 330 diabetic patients were included in the study, among whom 240 (72.7%) had poor glycemic control. The predictors of poor glycemic control in the multivariate logistic regression analysis were overweight [adjusted odds ratio (AOR) 4.07; 95% confidence interval (CI) 1.60, 10.36; p = 0.003], obesity (AOR 4.39; 95% CI 1.59, 12.14; p = 0.004), higher estimated glomerular filtration rate (eGFR) (AOR 2.34; 95% CI 1.23, 4.44; p = 0.010), type 1 diabetes (AOR 3.22; 95% CI 1.58, 6.55; p = 0.001), poor diet adherence (AOR 6.95; 95% CI 3.63, 13.32; p < 0.001) and non-adherence to medications (AOR 5.82; 95% CI 2.77, 12.26; p < 0.001). CONCLUSION: Almost three-quarters of the study population of diabetic patients had poorly controlled blood sugar. Overweight, obesity, higher eGFR, type 1 diabetics, poor adherence to diet recommendation and non-adherence to medications were independent predictors of poor glycemic control. Educational strategies should focus on improving adherence to the recommended diet and medication(s), achieving weight control and optimizing glycemic control. |
format | Online Article Text |
id | pubmed-7376794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-73767942020-07-27 Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study Sheleme, Tadesse Mamo, Girma Melaku, Tsegaye Sahilu, Tamiru Diabetes Ther Original Research INTRODUCTION: The current estimate is that 463 million people worldwide have diabetes. In 2017, an estimated 5 million (9.9%) deaths worldwide among adults were caused by diabetes. The burden of disease associated with uncontrolled diabetes is substantial in terms of mortality and cardiovascular disease. The aim of this study was to assess glycemic control level and its predictors among adult patients with diabetes. METHODS: A prospective observational study was conducted among patients with diabetes during follow-up at an ambulatory clinic of Mettu Karl referral hospital from 15 April to 09 August 2019. The consecutive sampling method was used to collect data, following which the data were entered into Epidata manager version 4.4.2 and exported to the SPSS version 24.0 statistical software package for analysis. Logistic regression analysis was performed to identify predictors of poor glycemic control. Variables whose significance level was < 0.05 (p value) were considered to be predictors of poor glycemic control. RESULTS: A total of 330 diabetic patients were included in the study, among whom 240 (72.7%) had poor glycemic control. The predictors of poor glycemic control in the multivariate logistic regression analysis were overweight [adjusted odds ratio (AOR) 4.07; 95% confidence interval (CI) 1.60, 10.36; p = 0.003], obesity (AOR 4.39; 95% CI 1.59, 12.14; p = 0.004), higher estimated glomerular filtration rate (eGFR) (AOR 2.34; 95% CI 1.23, 4.44; p = 0.010), type 1 diabetes (AOR 3.22; 95% CI 1.58, 6.55; p = 0.001), poor diet adherence (AOR 6.95; 95% CI 3.63, 13.32; p < 0.001) and non-adherence to medications (AOR 5.82; 95% CI 2.77, 12.26; p < 0.001). CONCLUSION: Almost three-quarters of the study population of diabetic patients had poorly controlled blood sugar. Overweight, obesity, higher eGFR, type 1 diabetics, poor adherence to diet recommendation and non-adherence to medications were independent predictors of poor glycemic control. Educational strategies should focus on improving adherence to the recommended diet and medication(s), achieving weight control and optimizing glycemic control. Springer Healthcare 2020-06-24 2020-08 /pmc/articles/PMC7376794/ /pubmed/32583174 http://dx.doi.org/10.1007/s13300-020-00861-7 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Sheleme, Tadesse Mamo, Girma Melaku, Tsegaye Sahilu, Tamiru Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study |
title | Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study |
title_full | Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study |
title_fullStr | Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study |
title_full_unstemmed | Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study |
title_short | Glycemic Control and its Predictors among Adult Diabetic Patients attending Mettu Karl Referral Hospital, Southwest Ethiopia: A Prospective Observational Study |
title_sort | glycemic control and its predictors among adult diabetic patients attending mettu karl referral hospital, southwest ethiopia: a prospective observational study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376794/ https://www.ncbi.nlm.nih.gov/pubmed/32583174 http://dx.doi.org/10.1007/s13300-020-00861-7 |
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