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Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia
BACKGROUND: Despite the high burden of disability in Ethiopia, little is known about it, particularly in the study area. Hence, this study aimed to investigate the prevalence and factors associated with disability at Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia. M...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625642/ https://www.ncbi.nlm.nih.gov/pubmed/28969630 http://dx.doi.org/10.1186/s12889-017-4763-0 |
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author | Chala, Mulugeta Bayisa Mekonnen, Solomon Andargie, Gashaw Kebede, Yigzaw Yitayal, Mezgebu Alemu, Kassahun Awoke, Tadesse Wubeshet, Mamo Azmeraw, Temesgen Birku, Melkamu Tariku, Amare Gebeyehu, Abebaw Shimeka, Alemayehu Gizaw, Zemichael |
author_facet | Chala, Mulugeta Bayisa Mekonnen, Solomon Andargie, Gashaw Kebede, Yigzaw Yitayal, Mezgebu Alemu, Kassahun Awoke, Tadesse Wubeshet, Mamo Azmeraw, Temesgen Birku, Melkamu Tariku, Amare Gebeyehu, Abebaw Shimeka, Alemayehu Gizaw, Zemichael |
author_sort | Chala, Mulugeta Bayisa |
collection | PubMed |
description | BACKGROUND: Despite the high burden of disability in Ethiopia, little is known about it, particularly in the study area. Hence, this study aimed to investigate the prevalence and factors associated with disability at Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia. METHOD: A population-based study was conducted from October to December 2014 at Dabat HDSS site. A total of 67,395 people were included in the study. The multivariable binary logistic regression analysis was employed to identify factors associated with disability. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was estimated to show the strength of association. A p-value of <0.05 was used to declare statistical significance. RESULTS: One thousand two hundred twenty-eight individuals were reported to have a disability giving a prevalence rate of 1.82%, of which, about 39% was related to a vision disability. The high odds of disability were observed among the elderly (≥50 years) [AOR: 4.49; 95% CI: 1.95, 10.33], severely food in-secured [AOR: 2.11; 95% CI: 1.59, 2.80], and separated marital status [AOR: 7.52; 95% CI: 1.18, 47.84]. While having a paid job [AOR: 0.46; 95% CI: 0.28, 0.77], being in the richest quintile [AOR: 0.55; 95% CI: 0.41, 0.75], and high engagement in work-related physical activities [AOR: 0.36; 95% CI: 0.27, 0.49] were inversely associated with the disability. CONCLUSION: Disability is a major public health problem, and the burden is noticeable in the study area. Vision disability is the highest of all disabilities. Thus, efforts must be made on educating the public about disability and injury prevention. Measures that reduce disability should target the elderly, the poorer and the unemployed segment of the population. |
format | Online Article Text |
id | pubmed-5625642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56256422017-10-12 Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia Chala, Mulugeta Bayisa Mekonnen, Solomon Andargie, Gashaw Kebede, Yigzaw Yitayal, Mezgebu Alemu, Kassahun Awoke, Tadesse Wubeshet, Mamo Azmeraw, Temesgen Birku, Melkamu Tariku, Amare Gebeyehu, Abebaw Shimeka, Alemayehu Gizaw, Zemichael BMC Public Health Research Article BACKGROUND: Despite the high burden of disability in Ethiopia, little is known about it, particularly in the study area. Hence, this study aimed to investigate the prevalence and factors associated with disability at Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia. METHOD: A population-based study was conducted from October to December 2014 at Dabat HDSS site. A total of 67,395 people were included in the study. The multivariable binary logistic regression analysis was employed to identify factors associated with disability. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was estimated to show the strength of association. A p-value of <0.05 was used to declare statistical significance. RESULTS: One thousand two hundred twenty-eight individuals were reported to have a disability giving a prevalence rate of 1.82%, of which, about 39% was related to a vision disability. The high odds of disability were observed among the elderly (≥50 years) [AOR: 4.49; 95% CI: 1.95, 10.33], severely food in-secured [AOR: 2.11; 95% CI: 1.59, 2.80], and separated marital status [AOR: 7.52; 95% CI: 1.18, 47.84]. While having a paid job [AOR: 0.46; 95% CI: 0.28, 0.77], being in the richest quintile [AOR: 0.55; 95% CI: 0.41, 0.75], and high engagement in work-related physical activities [AOR: 0.36; 95% CI: 0.27, 0.49] were inversely associated with the disability. CONCLUSION: Disability is a major public health problem, and the burden is noticeable in the study area. Vision disability is the highest of all disabilities. Thus, efforts must be made on educating the public about disability and injury prevention. Measures that reduce disability should target the elderly, the poorer and the unemployed segment of the population. BioMed Central 2017-10-02 /pmc/articles/PMC5625642/ /pubmed/28969630 http://dx.doi.org/10.1186/s12889-017-4763-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Chala, Mulugeta Bayisa Mekonnen, Solomon Andargie, Gashaw Kebede, Yigzaw Yitayal, Mezgebu Alemu, Kassahun Awoke, Tadesse Wubeshet, Mamo Azmeraw, Temesgen Birku, Melkamu Tariku, Amare Gebeyehu, Abebaw Shimeka, Alemayehu Gizaw, Zemichael Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia |
title | Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia |
title_full | Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia |
title_fullStr | Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia |
title_full_unstemmed | Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia |
title_short | Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia |
title_sort | prevalence of disability and associated factors in dabat health and demographic surveillance system site, northwest ethiopia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625642/ https://www.ncbi.nlm.nih.gov/pubmed/28969630 http://dx.doi.org/10.1186/s12889-017-4763-0 |
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