Evidence map›Paper›PMID 34778462›Full record

ArticleBioMed research international2021

Determining Prevalence of Anemia and Its Associated Factors in Cameroon: A Multilevel Analysis.

Betregiorgis Zegeye, Bight Opoku Ahinkorah, Edward Kwabena Ameyaw, Abdul-Aziz Seidu, Mpho Keetile, Sanni Yaya

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 12 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

6 authors at 4 institutions in 4 countries.

Betregiorgis ZegeyeShewarobit Field Office, HaSET Maternal and Child Health Research Program, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0003-4550-3261
Bight Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, NSW, Australia.ORCID https://orcid.org/0000-0001-7415-895X
Edward Kwabena AmeyawSchool of Public Health, Faculty of Health, University of Technology Sydney, NSW, Australia.ORCID https://orcid.org/0000-0002-6617-237X
Abdul-Aziz SeiduDepartment of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Ghana.ORCID https://orcid.org/0000-0001-9734-9054
Mpho KeetilePopulation Studies and Demography, University of Botswana, Gaborone, Botswana.ORCID https://orcid.org/0000-0003-1776-4835
Sanni YayaUniversity of Parakou, Faculty of Medicine, Parakou, Benin.ORCID https://orcid.org/0000-0002-4876-6043
University of Technology Sydney · AUUniversité de Parakou · BJUniversity of Botswana · BWUniversity of Cape Coast · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnemia constitutes a major public health concern, which is associated with maternal and perinatal mortality. In low- and middle-income countries, the burden of anemia is profoundly high. Cameroon, as one of the low- and middle-income countries, has a disproportionate anemia burden. Factors associated with anemia prevalence are largely unknown in Cameroon. Hence, we determined the prevalence of anemia and its individual/household and community-level factors among adult women in Cameroon.

methodsWe derived data from the 2018 Cameroon Demographic and Health Survey for analysis in this study. Using the Stata version 14 software, univariate multilevel logistic regression analysis was used to select variables that had significant association with anemia at

resultsA total of 6,809 women aged 15-49 years were involved in this study with a mean age 30 ± 11.87 years. Approximately two-fifths of women were anemic. Of them, 0.8% were severely anemic, while 17.4% and 21.5% were moderately and mildly anemic, respectively. Current employment status (yes AOR = 0.77, 95% CI; 0.61-0.96) and parity (1-2 children AOR = 0.61, 95% CI; 0.44-0.86) were the main individual level factors associated with anemia, whereas region (Douala region AOR = 2.65, 95% CI; 1.61-4.36, North-West region AOR = 0.53, 95% CI; 0.28-0.99) was the community-level factor associated with anaemia.

conclusionEmpowerment of women through employment opportunities as well as focusing special attention in region where high prevalence of anemia could be crucial to decrease the burden of anemia and related maternal and perinatal mortality in the country.

Indexed as

AdolescentAdultAnemiaCameroonFamily CharacteristicsFemaleHealth SurveysHumansIncomeLogistic ModelsMarriageMiddle AgedMultilevel AnalysisOdds RatioPrevalenceSocioeconomic Factors

Identifiers

PMID34778462
PMCPMC8580646
OpenAlexW3209180448

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.