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Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study

BACKGROUND: Like in all populations of the world, recently, diabetes became serious health problem in Ethiopian population, as indicated by few community- and institution-based studies. As high as 6.5% diabetes prevalence was reported in Addis Ababa while 5.1% in urban setting and 2.1% in rural sett...

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Autores principales: Zekewos, Alemayehu, Loha, Eskindir, Egeno, Tariku, Wubshet, Kindie, Merga, Zelalem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research and Publications Office of Jimma University 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308729/
https://www.ncbi.nlm.nih.gov/pubmed/30607058
http://dx.doi.org/10.4314/ejhs.v28i4.11
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author Zekewos, Alemayehu
Loha, Eskindir
Egeno, Tariku
Wubshet, Kindie
Merga, Zelalem
author_facet Zekewos, Alemayehu
Loha, Eskindir
Egeno, Tariku
Wubshet, Kindie
Merga, Zelalem
author_sort Zekewos, Alemayehu
collection PubMed
description BACKGROUND: Like in all populations of the world, recently, diabetes became serious health problem in Ethiopian population, as indicated by few community- and institution-based studies. As high as 6.5% diabetes prevalence was reported in Addis Ababa while 5.1% in urban setting and 2.1% in rural setting of Northwest Ethiopia have been reported. This study aimed to provide additional data on the magnitude of diabetes and associated risk factors. The study aimed to determine the prevalence of diabetes in Bona District and identify contributing risk factors. METHODS AND MATERIALS: A cross-sectional community based survey for diabetes and associated factors was done from February–June, 2016 on a total of 2670 participants in the age range of 15–110 years. Participants were recruited to the study by using a two-stage simple random sampling technique. Data were collected by using structured questionnaire from consented participants. Data were entered, checked for quality and analyzed using SPSS for Windows version 20.0. Since the outcome variable was ordered categorical, we used ordinal regression model to identify associated factors. There was no multicollinearity among the independent variables included in the model. All the independent variables with p<0.25 during bivariate analysis were included in the multivariate model. The level of significance was set at P value < 0.05. RESULTS: The overall prevalence of diabetes (1.9%) from our survey was so high in rural setting that prevention and control mechanisms should be designed. The risk factors include advanced age (β=1.04(0.57–1.50)), systolic hypertension (β=0.59(0.01–1.18)), high waist circumference (β=0.86(0.34–1.39)) and postsecondary education (β=0.87(0.03–1.71)).
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spelling pubmed-63087292019-01-03 Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study Zekewos, Alemayehu Loha, Eskindir Egeno, Tariku Wubshet, Kindie Merga, Zelalem Ethiop J Health Sci Original Article BACKGROUND: Like in all populations of the world, recently, diabetes became serious health problem in Ethiopian population, as indicated by few community- and institution-based studies. As high as 6.5% diabetes prevalence was reported in Addis Ababa while 5.1% in urban setting and 2.1% in rural setting of Northwest Ethiopia have been reported. This study aimed to provide additional data on the magnitude of diabetes and associated risk factors. The study aimed to determine the prevalence of diabetes in Bona District and identify contributing risk factors. METHODS AND MATERIALS: A cross-sectional community based survey for diabetes and associated factors was done from February–June, 2016 on a total of 2670 participants in the age range of 15–110 years. Participants were recruited to the study by using a two-stage simple random sampling technique. Data were collected by using structured questionnaire from consented participants. Data were entered, checked for quality and analyzed using SPSS for Windows version 20.0. Since the outcome variable was ordered categorical, we used ordinal regression model to identify associated factors. There was no multicollinearity among the independent variables included in the model. All the independent variables with p<0.25 during bivariate analysis were included in the multivariate model. The level of significance was set at P value < 0.05. RESULTS: The overall prevalence of diabetes (1.9%) from our survey was so high in rural setting that prevention and control mechanisms should be designed. The risk factors include advanced age (β=1.04(0.57–1.50)), systolic hypertension (β=0.59(0.01–1.18)), high waist circumference (β=0.86(0.34–1.39)) and postsecondary education (β=0.87(0.03–1.71)). Research and Publications Office of Jimma University 2018-07 /pmc/articles/PMC6308729/ /pubmed/30607058 http://dx.doi.org/10.4314/ejhs.v28i4.11 Text en © 2018 Zekewos Alemayehu, et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Zekewos, Alemayehu
Loha, Eskindir
Egeno, Tariku
Wubshet, Kindie
Merga, Zelalem
Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study
title Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study
title_full Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study
title_fullStr Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study
title_full_unstemmed Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study
title_short Prevalence of Diabetes Mellitus and Associated Factors in Southern Ethiopia: A Community Based Study
title_sort prevalence of diabetes mellitus and associated factors in southern ethiopia: a community based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308729/
https://www.ncbi.nlm.nih.gov/pubmed/30607058
http://dx.doi.org/10.4314/ejhs.v28i4.11
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