The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa

Abstract The role of geographical disparities of health-related risk factors with anemia are poorly documented for women of reproductive age in sub-Saharan Africa (SSA). We aimed to determine the contribution of potential factors and to identify areas at higher risk of anemia for women in reproducti...

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Autores principales:	Esteban Correa-Agudelo, Hae-Young Kim, Godfrey N. Musuka, Zindoga Mukandavire, F. DeWolfe Miller, Frank Tanser, Diego F. Cuadros
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ae757791f5554584bdabea576930027b
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spelling	oai:doaj.org-article:ae757791f5554584bdabea576930027b2021-12-02T17:34:49ZThe epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa10.1038/s41598-021-91198-z2045-2322https://doaj.org/article/ae757791f5554584bdabea576930027b2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91198-zhttps://doaj.org/toc/2045-2322Abstract The role of geographical disparities of health-related risk factors with anemia are poorly documented for women of reproductive age in sub-Saharan Africa (SSA). We aimed to determine the contribution of potential factors and to identify areas at higher risk of anemia for women in reproductive age in SSA. Our study population comprised 27 nationally representative samples of women of reproductive age (15–49) who were enrolled in the Demographic and Health Surveys and conducted between 2010 and 2019 in SSA. Overall, we found a positive association between being anemic and the ecological exposure to malaria incidence [adjusted odds ratio (AOR) = 1.02, 95% confidence interval (CI) 1.02–1.02], and HIV prevalence (AOR = 1.01, CI 1.01–1.02). Women currently pregnant or under deworming medication for the last birth had 31% (AOR = 1.31, CI 1.24–1.39) and 5% (AOR = 1.05, CI 1.01–1.10) higher odds of having anemia, respectively. Similarly, women age 25–34 years old with low education, low income and living in urban settings had higher odds of having anemia. In addition, underweight women had 23% higher odds of suffering anemia (AOR = 1.23, CI 1.15–1.31). Females with low levels of education and wealth index were consistently associated with anemia across SSA. Spatial distribution shows increased risk of anemia in Central and Western Africa. Knowledge about the contribution of known major drivers and the spatial distribution of anemia risk can mitigate operational constraints and help to design geographically targeted intervention programs in SSA.Esteban Correa-AgudeloHae-Young KimGodfrey N. MusukaZindoga MukandavireF. DeWolfe MillerFrank TanserDiego F. CuadrosNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Esteban Correa-Agudelo Hae-Young Kim Godfrey N. Musuka Zindoga Mukandavire F. DeWolfe Miller Frank Tanser Diego F. Cuadros The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa
description	Abstract The role of geographical disparities of health-related risk factors with anemia are poorly documented for women of reproductive age in sub-Saharan Africa (SSA). We aimed to determine the contribution of potential factors and to identify areas at higher risk of anemia for women in reproductive age in SSA. Our study population comprised 27 nationally representative samples of women of reproductive age (15–49) who were enrolled in the Demographic and Health Surveys and conducted between 2010 and 2019 in SSA. Overall, we found a positive association between being anemic and the ecological exposure to malaria incidence [adjusted odds ratio (AOR) = 1.02, 95% confidence interval (CI) 1.02–1.02], and HIV prevalence (AOR = 1.01, CI 1.01–1.02). Women currently pregnant or under deworming medication for the last birth had 31% (AOR = 1.31, CI 1.24–1.39) and 5% (AOR = 1.05, CI 1.01–1.10) higher odds of having anemia, respectively. Similarly, women age 25–34 years old with low education, low income and living in urban settings had higher odds of having anemia. In addition, underweight women had 23% higher odds of suffering anemia (AOR = 1.23, CI 1.15–1.31). Females with low levels of education and wealth index were consistently associated with anemia across SSA. Spatial distribution shows increased risk of anemia in Central and Western Africa. Knowledge about the contribution of known major drivers and the spatial distribution of anemia risk can mitigate operational constraints and help to design geographically targeted intervention programs in SSA.
format	article
author	Esteban Correa-Agudelo Hae-Young Kim Godfrey N. Musuka Zindoga Mukandavire F. DeWolfe Miller Frank Tanser Diego F. Cuadros
author_facet	Esteban Correa-Agudelo Hae-Young Kim Godfrey N. Musuka Zindoga Mukandavire F. DeWolfe Miller Frank Tanser Diego F. Cuadros
author_sort	Esteban Correa-Agudelo
title	The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa
title_short	The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa
title_full	The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa
title_fullStr	The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa
title_full_unstemmed	The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa
title_sort	epidemiological landscape of anemia in women of reproductive age in sub-saharan africa
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ae757791f5554584bdabea576930027b
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The epidemiological landscape of anemia in women of reproductive age in sub-Saharan Africa

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