Evidence map›Paper›PMID 36494691›Full record

ArticleJournal of health, population, and nutrition2022

Ecological analysis of demographic-, nutritional- and housing-related factors associated with anaemia among women of reproductive age group in Nigeria.

Yusuf Olushola Kareem, Edward K Ameyaw, Oluwasomidoyin O Bello, Rukiyat A Abdus-Salam, Olatunji O Lawal, Gbolahan Obajimi, Yussuf Kofoworola Alade, Imran O Morhason-Bello

Open access · goldAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 3 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

8 authors at 3 institutions in 1 country.

Yusuf Olushola KareemUnited Nation Population Fund, Nigeria Country Office, Abuja, Nigeria.ORCID 0000-0001-9076-2129
Edward K AmeyawInstitute of Policy Studies and School of Graduate Studies, Lingnan University, Tuen Mun, New Territories, Hong Kong.ORCID 0000-0002-6617-237X
Oluwasomidoyin O BelloDepartment of Obstetrics and Gynaecology, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0002-2178-9640
Rukiyat A Abdus-SalamDepartment of Obstetrics and Gynaecology, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0002-2226-0597
Olatunji O LawalDepartment of Obstetrics and Gynaecology, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0001-5929-8380
Gbolahan ObajimiDepartment of Obstetrics and Gynaecology, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0002-2694-8831
Yussuf Kofoworola AladePaelon Memorial Hospital, Victoria Island, Lagos, Nigeria.
Imran O Morhason-BelloDepartment of Obstetrics and Gynaecology, Faculty of Clinical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria. imranmorhasonbello@gmail.com.ORCID 0000-0002-7448-4824
University of Ibadan · NGLagos State Health Service Commission · NGNational Office for Technology Acquisition and Promotion · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAnaemia remains a major public health concern, particularly, in sub-Saharan Africa (SSA), where it is one of the causes of maternal death. The most common cause of maternal anaemia is iron deficiency or malnutrition. This study examined the prevalence of and risk factors for anaemia among women that participated in the Nigerian Demographic Health Survey.

methodWe used data of 14,454 women that participated in the 2018 Nigeria Demographic and Health Survey (NDHS). We extracted information such as demographic, social and housing, dietary characteristics and haemoglobin concentration. The descriptive statistic results, prevalence and 95% confidence interval (CIs) of anaemia with the selected respondents background characteristics were presented. The Poisson regression model with robust variance was used to assess the risk of anaemia among women of reproductive age. All analyses were weighted and adjusted for the complex survey design. Statistical significance was interpreted at p value < 0.05.

resultsMaternal status, body mass index, education, residence, religion, ethnicity, region and type of cooking fuel were all important determinants of anaemia. The prevalence of anaemia was high among pregnant women (61.8%; 95% CI: 58.5-65.0), adolescents (60.4%; 95% CI: 58.1-62.6), underweight women (62.6%; 95% CI: 59.5-65.5), women who had no formal education (64.1%; 95% CI: 62.2-66.0) and those who belonged to the poorest wealth quintile (65.8%; 95% CI: 63.1-68.4). Similarly, anaemia was high among women residing in rural areas (61.5%; 95% CI: 60.0-63.0), Muslims (59.9%; 95% CI: 58.1-61.6) and women with six or more children (62.1%; 95% CI: 60.0-64.1). The risk of anaemia were 2% less likely among women who took minimum adequate diet compared to those who do not.

conclusionTo date, this is the largest data on maternal anaemia in Nigeria. The study highlighted the high burden of maternal anaemia in the country and different risk factors (medical and social) that are associated with this medical condition among women of reproductive age. We recommend future longitudinal studies to test hypothesis in order to assess whether there is any causal relationship between identified risk factors and anaemia in this group of women.

Indexed as

AnemiaIron DeficienciesMalnutritionAdolescentChildFemaleHealth SurveysHumansPregnancyPrevalenceRisk Factors

Identifiers

PMID36494691
PMCPMC9733233
OpenAlexW4311137122

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.