Evidence map›Paper›PMID 37916141›Full record

ArticleHealth science reports2023

Anemia prevalence and its predictors among children under-five years in Ghana. A multilevel analysis of the cross-sectional 2019 Ghana Malaria Indicator Survey.

Justice M K Aheto, Yakubu Alhassan, Adikwor E Puplampu, Julius K Boglo, Kojo M Sedzro

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

5 authors at 1 institution in 3 countries.

Justice M K AhetoDepartment of Biostatistics School of Public Health, College of Health Sciences, University of Ghana, Legon Accra Ghana.ORCID https://orcid.org/0000-0003-1384-2461
Yakubu AlhassanDepartment of Biostatistics School of Public Health, College of Health Sciences, University of Ghana, Legon Accra Ghana.ORCID 0000-0002-0658-3820
Adikwor E PuplampuDepartment of Biostatistics School of Public Health, College of Health Sciences, University of Ghana, Legon Accra Ghana.
Julius K BogloDepartment of Biostatistics School of Public Health, College of Health Sciences, University of Ghana, Legon Accra Ghana.
Kojo M SedzroDepartment of Health Policy Planning and Management College of Health Sciences, School of Public Health, University of Ghana, Legon Accra Ghana.
University of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Despite the implementation of anemia control interventions in Ghana, anemia prevalence is still high in children under-fives. Reducing the prevalence of anemia requires identifying and targeting associated critical risk factors. This study seeks to identify predictors of anemia among children under-fives in Ghana. Methods: Nationally representative data from the 2019 Ghana Malaria Indicator Survey was used in this study. Both fixed and random effects (multilevel) logistic regression models were applied to 2434 children to identify critical factors associated with anemia. Results: In this study, 54% (95% confidence interval [CI] 52.0-57.0) of children under-5 years were anemic. Infants were more likely to be anemic (66.7%) compared with other children below 5 years. In the multivariable multilevel model, the risk of anemia was found to be higher in younger children especially 6-11 months old (adjusted odds ratio [aOR] = 3.59, CI: 2.54-5.08) and 12-23 months old (aOR = 2.97, CI: 2.08-4.23), children who had malaria (aOR = 1.53, CI: 1.13-2.06), children whose mothers were not registered but not covered with health insurance (aOR = 1.45, CI: 1.21-1.74) or were not even registered for insurance (aOR = 1.49, CI: 1.15-1.93), children born to adolescent mothers (aOR = 2.21, CI: 1.36-3.57), children born to non-Christian mothers (Islam [aOR = 1.53, CI: 1.17-2.00]), children born to families of poorer households (poorest [aOR = 3.01, CI: 1.64-5.51]; poorer [aOR = 2.56, CI: 1.65-3.98]); middle (aOR = 2.03, CI: 1.32-3.11) and richer (aOR = 1.78, CI: 1.19-2.64), and children who lived in either Upper East (aOR = 2.03, CI: 1.26-3.26) or Central (aOR = 2.52, CI: 1.42-4.47) regions. Significant unobserved community-level differences in anemia prevalence were observed. Conclusion: The probability of anemia in children under-fives differs substantially from one community to another, and the prevalence remains high. The identified critical risk factors should be addressed. Multifaceted and targeted approaches are needed to help reduce the anemia prevalence in this setting to achieve the multiple United Nation's Sustainable Development Goals, which are related to risk and prevalence of anemia by 2030.

Indexed as

anemiachildren under‐fivesDemographic and Health SurveyGhanaMalaria Indicator Surveymultilevel modelingpredictorsSub‐Saharan Africa

Identifiers

PMID37916141
PMCPMC10617986
OpenAlexW4387881408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.