Evidence map›Paper›PMID 39277757›Full record

ArticleArchives of public health = Archives belges de sante publique2024

Anaemia and associated factors among children aged 6-59 months during the post-ebola period in Sierra Leone: a national cross-sectional survey- 2019.

Linet M Mutisya, Quraish Sserwanja, Kassim Kamara, Micheal Mazzi, Emmanuel Olal

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In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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.

Linet M Mutisya *Programs Department, Relief International, Khartoum, Sudan.
Quraish Sserwanja *Maternal and Child Health Project, Swedish Organization for Global Health, Mayuge, Uganda. quraishsserwanja@gmail.com.ORCID http://orcid.org/0000-0003-0576-4627
Kassim KamaraNational Disease Surveillance Programme, Ministry of Health and Sanitation, Free town, Sierra Leone.
Micheal MazziProgrammes Department, Partners in Health, Freetown, Sierra Leone.
Emmanuel OlalYotkom Medical Centre, Kitgum, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnaemia is a global public health problem associated with early childhood adverse effects on mental, physical, and social development. Sierra Leone had made progress in reducing the prevalence of anaemia pre-Ebola period however this was affected by the Ebola epidemic which further strained an already struggling health system. Therefore, this study aimed to assess the prevalence and factors associated with anaemia during post-Ebola period among children aged 6-59 months in Sierra Leone.

methodsWe analyzed data from the 2019 Sierra Leone demographic and health survey (SLDHS), a nationally representative cross-sectional study. We used data collected using a stratified two-stage cluster sampling design that resulted in the random selection of a representative sample of 13,872 households. A total sample of 3,459 children aged 6-59 months were included in the study. Multivariable logistic regression was used to calculate the adjusted odds ratios and corresponding 95% confidence intervals.

resultsThe prevalence of anaemia was 68.9%, that of mild anaemia was 35.8%, moderate anaemia was 30.3% and for severe anaemia was 2.8%. Children aged 6-36 months were 1.83 times more likely to have anaemia compared to those above 36 months, while boys 1.33 times more likely to be anaemic compared to girls. Children born in poor households, to mothers who had anaemia and had a history of fever had 65%, 85% and 38% increase in likelihood of childhood anaemia respectively. In addition, children living in rural areas and stunted were 1.55 and 1.38 times more likely to be anaemic respectively compared to those living in urban areas and not stunted. Children born to younger mothers (15-24 years) were 1.45 times more likely to be anaemic compared to older mother (35-49 years.

conclusionThe current study demonstrated the predominant existence of anaemia among children aged 6-59 months in Sierra Leone. Owing to the adverse effects of anaemia on the development of children in the future, there is an urgent need for effective and efficient remedial public health interventions to prevent further complications.

Indexed as

AnaemiaChildrenMalnutritionSierra Leone

Identifiers

PMID39277757
PMCPMC11401428

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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.