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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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Detalles Bibliográficos
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
Descripción
Sumario: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.