Evidence map›Paper›PMID 36101749›Full record

ArticlePublic health in practice (Oxford, England)2022

Individual, household and area predictors of anaemia among children aged 6-59 months in Nigeria.

Phillips Edomwonyi Obasohan, Stephen J Walters, Richard Jacques, Khaled Khatab

Open access · goldAbstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2022. 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
2.8field-weighted citation impact, top 9% 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, 25 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

4 authors at 3 institutions in 2 countries.

Phillips Edomwonyi ObasohanSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Stephen J WaltersSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Richard JacquesSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Khaled KhatabFaculty of Health and Wellbeing, Sheffield Hallam University, Sheffield, UK.
University of Sheffield · GBNiger State Polytechnic · NGSheffield Hallam University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to determine the prevalence of anaemia among children aged 6-59 months in all states of Nigeria, including the Federal Capital Territory (FCT), and to quantify the predicted probabilities by individual, household and area factors. Study design: This study is a secondary analysis of data sets from two national representative cross-sectional surveys in Nigeria: the Nigeria Demographic and Health Survey (2018 NDHS) and the National Human Development Index (2018 NHDR). The state human development index (HDI) and the state multidimensional poverty index (MPI) from the 2018 NHDR were incorporated into the 2018 NDHS. Methods: The study included a weighted sample of 10,222 children aged 6-59 months. Both univariate and bivariate analyses were computed to determine the prevalence and factors associated with anaemia status, respectively. Multiple binary logistic regression analyses with adjusted predicted probabilities (APPs) were performed to quantify the predictors' probabilities. Results: The prevalence of anaemia among children aged 6-59 months in Nigeria was 68.1% (6962/10,222). Zamfara state had the highest prevalence (84.0% [266/317]), while Kaduna state recorded the lowest (50.0% [283/572]). The APPs of being anaemic decreased from 82.9% (95% confidence interval [CI]: 80.0-85.8) for children aged 6-18 months to 60.6% (95% CI: 56.8-64.4) for children aged 43-59 months, when other predictors were held constant. The APP for a child of an anaemic mother is 10.2% points higher than the APP for a child whose mother is not anaemic. In addition, the APPs for children decreased as the age group of their mothers increased. A child from a state that is mildly deprived in the MPI has a lower APP (67.2% [95% CI: 62.2-72.2]) compared with a child from highly deprived MPI state (79.0% [95% CI: 73.4-84.5]). Conclusions: Health strategies, including supplementation programmes, should be carried out at both ante-natal and post-natal clinics to reduce the prevalence of anaemia, especially in vulnerable population groups.

Indexed as

AssociationsDeterminantsIron deficiency anaemiaLogistic regressionPredicted probabilitiesUnder-five years

Identifiers

PMID36101749
PMCPMC9461611
OpenAlexW4205245447

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.