Evidence map›Paper›PMID 34099773›Full record

ArticleScientific reports2021

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

Esteban Correa-Agudelo, Hae-Young Kim, Godfrey N Musuka, Zindoga Mukandavire, F DeWolfe Miller, Frank Tanser, Diego F Cuadros

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Esteban Correa-AgudeloHealth Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, OH, 45221, USA.
Hae-Young KimAfrica Health Research Institute, Durban, KwaZulu-Natal, South Africa.
Godfrey N MusukaICAP at Columbia University, Harare, Zimbabwe.
Zindoga MukandavireCentre for Data Science, Coventry University, Coventry, UK.
F DeWolfe MillerDepartment of Tropical Medicine and Medical Microbiology and Pharmacology, University of Hawaii, Honolulu, HI, USA.
Frank TanserAfrica Health Research Institute, Durban, KwaZulu-Natal, South Africa.
Diego F CuadrosHealth Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, OH, 45221, USA. diego.cuadros@uc.edu.
University of Cincinnati · USAfrica Health Research Institute · ZACoventry University · GBUniversity of Hawaii System · USUniversity of Lincoln · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AdolescentAdultAfrica South of the SaharaAnemiaEducational StatusFemaleGeographyHealth SurveysHIV InfectionsHumansIncidenceMalariaMiddle AgedOdds RatioPovertyPrevalence

Identifiers

PMID34099773
PMCPMC8184956
OpenAlexW3170176677

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.