Cargando…

Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018

BACKGROUND: Globally, 1.2 billion people live in trachoma endemic areas, 40.6 million people are suffering from active trachoma, and 48.5% of the global burden of active trachoma is distributed in five countries including Ethiopia. However, there is no evidence or no conducted survey/research data o...

Descripción completa

Detalles Bibliográficos
Autores principales: Alambo, Melese Menta, Lake, Eyasu Alam, Bitew Workie, Shimelash, Wassie, Addisu Yeshambel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585665/
https://www.ncbi.nlm.nih.gov/pubmed/33123195
http://dx.doi.org/10.1155/2020/8635191
_version_ 1783599839469109248
author Alambo, Melese Menta
Lake, Eyasu Alam
Bitew Workie, Shimelash
Wassie, Addisu Yeshambel
author_facet Alambo, Melese Menta
Lake, Eyasu Alam
Bitew Workie, Shimelash
Wassie, Addisu Yeshambel
author_sort Alambo, Melese Menta
collection PubMed
description BACKGROUND: Globally, 1.2 billion people live in trachoma endemic areas, 40.6 million people are suffering from active trachoma, and 48.5% of the global burden of active trachoma is distributed in five countries including Ethiopia. However, there is no evidence or no conducted survey/research data or document regarding trachoma prevalence in Areka Town. We, therefore, did a study to assess the prevalence of active trachoma and associated factors in Areka Town in South Ethiopia. METHODS: A community-based cross-sectional study was employed. A total of 586 children aged 1–9 years were involved. We compiled a structured questionnaire from the relevant literature and pretested before use. A range of data was collected on the sociodemographic, facility, and service-related, and environmental factors. The outcome variable was measured by using frequencies, cross-tabulation, and percent. Multivariate logistic regression was applied to control potential confounders and to identify the predictors. RESULTS: This study revealed that 37.9% of children aged 1–9 years have active trachoma (95% CI: 34%–42%). Households without latrine (AOR = 6.88; 95% CI: 2.13–22.18), openly disposing domestically produced waste (AOR = 4.62; 95% CI: 2.41–8.83), cooking in the same room (AOR = 5.13; 95% CI: 2.21–11.88), and using the cooking room without a window (AOR = 2.28; 95% CI: 1.11–4.69) were more likely to have their children develop active trachoma. Similarly, children with caretakers having inadequate knowledge about trachoma (AOR = 8.10; 95% CI: 2.04–32.17) were more likely to develop active trachoma. However, households consuming more than 20 liters of water per day were 82% (AOR = 0.18; 95% CI: 0.07–0.44) less likely to have their children develop active trachoma while compared to those consuming less than the figure. CONCLUSIONS: The prevalence of active trachoma in the children aged 1–9 years in the study area was found to be high, and it is much higher than the WHO elimination threshold.
format Online
Article
Text
id pubmed-7585665
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-75856652020-10-28 Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018 Alambo, Melese Menta Lake, Eyasu Alam Bitew Workie, Shimelash Wassie, Addisu Yeshambel Interdiscip Perspect Infect Dis Research Article BACKGROUND: Globally, 1.2 billion people live in trachoma endemic areas, 40.6 million people are suffering from active trachoma, and 48.5% of the global burden of active trachoma is distributed in five countries including Ethiopia. However, there is no evidence or no conducted survey/research data or document regarding trachoma prevalence in Areka Town. We, therefore, did a study to assess the prevalence of active trachoma and associated factors in Areka Town in South Ethiopia. METHODS: A community-based cross-sectional study was employed. A total of 586 children aged 1–9 years were involved. We compiled a structured questionnaire from the relevant literature and pretested before use. A range of data was collected on the sociodemographic, facility, and service-related, and environmental factors. The outcome variable was measured by using frequencies, cross-tabulation, and percent. Multivariate logistic regression was applied to control potential confounders and to identify the predictors. RESULTS: This study revealed that 37.9% of children aged 1–9 years have active trachoma (95% CI: 34%–42%). Households without latrine (AOR = 6.88; 95% CI: 2.13–22.18), openly disposing domestically produced waste (AOR = 4.62; 95% CI: 2.41–8.83), cooking in the same room (AOR = 5.13; 95% CI: 2.21–11.88), and using the cooking room without a window (AOR = 2.28; 95% CI: 1.11–4.69) were more likely to have their children develop active trachoma. Similarly, children with caretakers having inadequate knowledge about trachoma (AOR = 8.10; 95% CI: 2.04–32.17) were more likely to develop active trachoma. However, households consuming more than 20 liters of water per day were 82% (AOR = 0.18; 95% CI: 0.07–0.44) less likely to have their children develop active trachoma while compared to those consuming less than the figure. CONCLUSIONS: The prevalence of active trachoma in the children aged 1–9 years in the study area was found to be high, and it is much higher than the WHO elimination threshold. Hindawi 2020-10-16 /pmc/articles/PMC7585665/ /pubmed/33123195 http://dx.doi.org/10.1155/2020/8635191 Text en Copyright © 2020 Melese Menta Alambo et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Alambo, Melese Menta
Lake, Eyasu Alam
Bitew Workie, Shimelash
Wassie, Addisu Yeshambel
Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018
title Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018
title_full Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018
title_fullStr Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018
title_full_unstemmed Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018
title_short Prevalence of Active Trachoma and Associated Factors in Areka Town, South Ethiopia, 2018
title_sort prevalence of active trachoma and associated factors in areka town, south ethiopia, 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7585665/
https://www.ncbi.nlm.nih.gov/pubmed/33123195
http://dx.doi.org/10.1155/2020/8635191
work_keys_str_mv AT alambomelesementa prevalenceofactivetrachomaandassociatedfactorsinarekatownsouthethiopia2018
AT lakeeyasualam prevalenceofactivetrachomaandassociatedfactorsinarekatownsouthethiopia2018
AT bitewworkieshimelash prevalenceofactivetrachomaandassociatedfactorsinarekatownsouthethiopia2018
AT wassieaddisuyeshambel prevalenceofactivetrachomaandassociatedfactorsinarekatownsouthethiopia2018