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Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis

BACKGROUND: Hypertension is a major public health problem, resulting in 10 million deaths annually. Undiagnosed hypertension affects more people than ever before. It is more likely to be linked to severe hypertension, which can lead to stroke, cardiovascular disease, and ischemic heart disease. Thus...

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Autores principales: Ambaw Kassie, Gizachew, Alemu, Afework, Yosef Gebrekidan, Amanuel, Asmare Adella, Getachew, Eshetu, Kirubel, Wolie Asres, Abiyot, Sisay Asgedom, Yordanos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225092/
https://www.ncbi.nlm.nih.gov/pubmed/37244992
http://dx.doi.org/10.1186/s12872-023-03300-0
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author Ambaw Kassie, Gizachew
Alemu, Afework
Yosef Gebrekidan, Amanuel
Asmare Adella, Getachew
Eshetu, Kirubel
Wolie Asres, Abiyot
Sisay Asgedom, Yordanos
author_facet Ambaw Kassie, Gizachew
Alemu, Afework
Yosef Gebrekidan, Amanuel
Asmare Adella, Getachew
Eshetu, Kirubel
Wolie Asres, Abiyot
Sisay Asgedom, Yordanos
author_sort Ambaw Kassie, Gizachew
collection PubMed
description BACKGROUND: Hypertension is a major public health problem, resulting in 10 million deaths annually. Undiagnosed hypertension affects more people than ever before. It is more likely to be linked to severe hypertension, which can lead to stroke, cardiovascular disease, and ischemic heart disease. Thus, this systematic review and meta-analysis aimed to synthesize the prevalence of undiagnosed hypertension and its associated factors in Ethiopia. METHODS: Databases, such as Medline/PubMed, Google Scholar, Science Direct, AJOL, and the Cochrane Library, were systematically searched to find potential studies published until December 2022. A Microsoft Excel spreadsheet was used to enter the extracted data. The pooled prevalence of undiagnosed hypertension and its associated factors was estimated using a random effect model. I(2) statistics and the Cochrane Q-test were used to assess statistical heterogeneity across the studies. Begg’s and Egger’s tests were performed to identify possible publication bias. RESULTS: A total of ten articles with 5,782 study participants were included in this meta-analysis. In the random effects model, the pooled prevalence of undiagnosed hypertension was 18.26% (95% CI = 14.94–21.58). Being older (OR = 3.8, 95% CI = 2.56, 5.66), having a body mass index > 25 kg/m2 (OR = 2.71, 95% CI = 2.1, 3.53), having a family history of hypertension (OR = 2.22, 95% CI = 1.47, 3.36), and having DM comorbidity (OR = 2.44, 95% CI = 1.38, 4.32) were significantly associated with undiagnosed hypertension. CONCLUSION: In this meta-analysis, the pooled prevalence of undiagnosed hypertension was found to be high in Ethiopia. Being older, having a BMI > 25 kg/m2, having a family history of hypertension, and having DM comorbidity were found to be risk factors for undiagnosed hypertension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-023-03300-0.
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spelling pubmed-102250922023-05-29 Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis Ambaw Kassie, Gizachew Alemu, Afework Yosef Gebrekidan, Amanuel Asmare Adella, Getachew Eshetu, Kirubel Wolie Asres, Abiyot Sisay Asgedom, Yordanos BMC Cardiovasc Disord Research BACKGROUND: Hypertension is a major public health problem, resulting in 10 million deaths annually. Undiagnosed hypertension affects more people than ever before. It is more likely to be linked to severe hypertension, which can lead to stroke, cardiovascular disease, and ischemic heart disease. Thus, this systematic review and meta-analysis aimed to synthesize the prevalence of undiagnosed hypertension and its associated factors in Ethiopia. METHODS: Databases, such as Medline/PubMed, Google Scholar, Science Direct, AJOL, and the Cochrane Library, were systematically searched to find potential studies published until December 2022. A Microsoft Excel spreadsheet was used to enter the extracted data. The pooled prevalence of undiagnosed hypertension and its associated factors was estimated using a random effect model. I(2) statistics and the Cochrane Q-test were used to assess statistical heterogeneity across the studies. Begg’s and Egger’s tests were performed to identify possible publication bias. RESULTS: A total of ten articles with 5,782 study participants were included in this meta-analysis. In the random effects model, the pooled prevalence of undiagnosed hypertension was 18.26% (95% CI = 14.94–21.58). Being older (OR = 3.8, 95% CI = 2.56, 5.66), having a body mass index > 25 kg/m2 (OR = 2.71, 95% CI = 2.1, 3.53), having a family history of hypertension (OR = 2.22, 95% CI = 1.47, 3.36), and having DM comorbidity (OR = 2.44, 95% CI = 1.38, 4.32) were significantly associated with undiagnosed hypertension. CONCLUSION: In this meta-analysis, the pooled prevalence of undiagnosed hypertension was found to be high in Ethiopia. Being older, having a BMI > 25 kg/m2, having a family history of hypertension, and having DM comorbidity were found to be risk factors for undiagnosed hypertension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-023-03300-0. BioMed Central 2023-05-27 /pmc/articles/PMC10225092/ /pubmed/37244992 http://dx.doi.org/10.1186/s12872-023-03300-0 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
Ambaw Kassie, Gizachew
Alemu, Afework
Yosef Gebrekidan, Amanuel
Asmare Adella, Getachew
Eshetu, Kirubel
Wolie Asres, Abiyot
Sisay Asgedom, Yordanos
Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis
title Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis
title_full Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis
title_fullStr Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis
title_full_unstemmed Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis
title_short Undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis
title_sort undiagnosed hypertension and associated factors among adults in ethiopia: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225092/
https://www.ncbi.nlm.nih.gov/pubmed/37244992
http://dx.doi.org/10.1186/s12872-023-03300-0
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