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Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study

BACKGROUND: Acute respiratory infection is still one of the leading causes of child morbidity and mortality worldwide. Developing countries, especially in Sub-Saharan Africa including Ethiopia continue to share an overburden of this infection. Studies showed that different predictor factors were ass...

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Autores principales: Gebrerufael, Gebru Gebremeskel, Hagos, Bsrat Tesfay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614314/
https://www.ncbi.nlm.nih.gov/pubmed/37904115
http://dx.doi.org/10.1186/s12879-023-08701-2
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author Gebrerufael, Gebru Gebremeskel
Hagos, Bsrat Tesfay
author_facet Gebrerufael, Gebru Gebremeskel
Hagos, Bsrat Tesfay
author_sort Gebrerufael, Gebru Gebremeskel
collection PubMed
description BACKGROUND: Acute respiratory infection is still one of the leading causes of child morbidity and mortality worldwide. Developing countries, especially in Sub-Saharan Africa including Ethiopia continue to share an overburden of this infection. Studies showed that different predictor factors were associated with the occurrence of childhood acute respiratory infection. Therefore, the main aim of this study was to assess the prevalence and associated predictor factors of acute respiratory infection among children under-five years in the Tigray Regional State, northern Ethiopia. METHODS: A retrospective cross-sectional study design was done from January 18, 2016, to June 27, 2016. A total of 986 children under-five years were selected for this study. The logistic regression model analysis was employed to examine the predictor factors of childhood acute respiratory infection. Both bi-variable and multivariable data analysis was performed using STATA version 14.0. RESULTS: Overall, the study showed that the two weeks prevalence of acute respiratory infection among children under-five years was 16.10% [95%CI: 13.80–18.40]. According to the multivariable logistic regression model analysis, children aged (24–60) months (AOR: 0.59, 95%CI: 0.352–0.98), rich wealth index of households (AOR: 0.60, 95%CI: 0.378–0.959), diarrhea status of children (AOR: 3, 95%CI: 1.97–4.73), and mothers smoking cigarettes (AOR: 4, 95%CI: 1.15–16.50), were significant predictors of acute respiratory infection. CONCLUSION: The prevalence of ARI displays that Tigray regional state was experiencing a higher ARI rate than the national level. The current study identified the low wealth index of households, children aged (24–60 months), mothers smoking cigarettes, and diarrhea status of the children as crucial predictor factors for ARI. Interventions should be improved to these modifiable major predictor factors that significantly decrease the ARI problem among under-five children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08701-2.
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spelling pubmed-106143142023-10-31 Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study Gebrerufael, Gebru Gebremeskel Hagos, Bsrat Tesfay BMC Infect Dis Research BACKGROUND: Acute respiratory infection is still one of the leading causes of child morbidity and mortality worldwide. Developing countries, especially in Sub-Saharan Africa including Ethiopia continue to share an overburden of this infection. Studies showed that different predictor factors were associated with the occurrence of childhood acute respiratory infection. Therefore, the main aim of this study was to assess the prevalence and associated predictor factors of acute respiratory infection among children under-five years in the Tigray Regional State, northern Ethiopia. METHODS: A retrospective cross-sectional study design was done from January 18, 2016, to June 27, 2016. A total of 986 children under-five years were selected for this study. The logistic regression model analysis was employed to examine the predictor factors of childhood acute respiratory infection. Both bi-variable and multivariable data analysis was performed using STATA version 14.0. RESULTS: Overall, the study showed that the two weeks prevalence of acute respiratory infection among children under-five years was 16.10% [95%CI: 13.80–18.40]. According to the multivariable logistic regression model analysis, children aged (24–60) months (AOR: 0.59, 95%CI: 0.352–0.98), rich wealth index of households (AOR: 0.60, 95%CI: 0.378–0.959), diarrhea status of children (AOR: 3, 95%CI: 1.97–4.73), and mothers smoking cigarettes (AOR: 4, 95%CI: 1.15–16.50), were significant predictors of acute respiratory infection. CONCLUSION: The prevalence of ARI displays that Tigray regional state was experiencing a higher ARI rate than the national level. The current study identified the low wealth index of households, children aged (24–60 months), mothers smoking cigarettes, and diarrhea status of the children as crucial predictor factors for ARI. Interventions should be improved to these modifiable major predictor factors that significantly decrease the ARI problem among under-five children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08701-2. BioMed Central 2023-10-30 /pmc/articles/PMC10614314/ /pubmed/37904115 http://dx.doi.org/10.1186/s12879-023-08701-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gebrerufael, Gebru Gebremeskel
Hagos, Bsrat Tesfay
Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study
title Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study
title_full Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study
title_fullStr Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study
title_full_unstemmed Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study
title_short Prevalence and predictors of acute respiratory infection among children under-five years in Tigray regional state, northern Ethiopia: a cross sectional study
title_sort prevalence and predictors of acute respiratory infection among children under-five years in tigray regional state, northern ethiopia: a cross sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614314/
https://www.ncbi.nlm.nih.gov/pubmed/37904115
http://dx.doi.org/10.1186/s12879-023-08701-2
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