Evidence map›Paper›PMID 39799293›Full record

ArticleBMC pediatrics2025

Prevalence and contributors to anaemia among children aged 6 to 59 months in Kyangwali Refugee settlement, Western Uganda: a cross-sectional study.

Christine Nakimera, Philip Bright Bwajojo, William Kaweesa, Joan Nampiima, Faith Chebet, Sharifah Namuwawu, Martin Bwemage, Moses Nuwabasa, Regina Ndagire, Allan Lugaajju and 2 more

Abstract read
In one paragraph

Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
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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

12 authors.

Christine NakimeraInstitute of Public Health and Management, Clarke International University, Kampala, P.O. Box 7782, Uganda.
Philip Bright BwajojoCommunity Integrated Development Initiatives, Kyangwali Refugee settlement, Kampala, P.O. Box 692, Uganda.
William KaweesaAction Against Hunger, Kampala, P.O. Box 3177, Uganda.
Joan NampiimaAction Against Hunger, Kampala, P.O. Box 3177, Uganda.
Faith ChebetAction Against Hunger, Kampala, P.O. Box 3177, Uganda.
Sharifah NamuwawuAction Against Hunger, Kampala, P.O. Box 3177, Uganda.
Martin BwemageMedical Teams International, Kampala, P.O. Box 26073, Uganda.
Moses NuwabasaStrong Minds, Kampala, P.O. Box 35874, Uganda.
Regina NdagireDepartment of Research, School of Graduate studies, Research and Innovations, Clarke International University, Kampala, P.O. Box 7782, Uganda.
Allan LugaajjuSchool of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, P.O. Box 7072, Uganda.
Joel TumwebazeInstitute of Public Health and Management, Clarke International University, Kampala, P.O. Box 7782, Uganda.
Catherine Nassozi LwaniraDepartment of Research, School of Graduate studies, Research and Innovations, Clarke International University, Kampala, P.O. Box 7782, Uganda. clwanira@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnaemia is a major cause of morbidity among children under five years in Uganda. However, its magnitude among refugee populations is marginally documented. In this study, the prevalence and contributors to anaemia among children 6 to 59 months in Kyangwali refugee settlement in Western Uganda was determined.

methodsThis was a cross-sectional study that was carried out among 415 mother- child dyads at Kwangwali refugee settlement. Anaemia was determined by measuring haemoglobin concentration using the HaemoCue method, while nutritional status was examined using standard World Health Organisation (WHO) nutritional indices. Data abstraction forms, pretested questionnaires and face to face interviews were used to collect patient data. Associations between the independent variables and anaemia were examined using modified Poisson regression with robust standard errors. In all statistical tests, a P- value of < 0.05 was considered as significant.

resultsThe proportion of children with anaemia was 49.2% (95% CI: 44.4-53.9). Anaemia was 1.4 times (95% CI = 1.13-1.82; p = 0.003) more prevalent among wasted children than the normal children. The prevalence of anaemia was also higher among underweight children than those with normal weight (aPR = 1.37, 95% CI = 1.11-1.70; p = 0.004). Additionally, the prevalence of anaemia was higher among children of birth order of 6 or above (aPR = 2.00, 95% CI = 1.22-3.29; p = 0.006), while anaemia prevalence was lower among children whose mothers' had attained secondary level of education (aPR = 0.19, CI = 0.04-0.98; p = 0.048) and those who fed on fish (aPR = 0.75, 95% CI = 0.57-0.99; p = 0.039) and meals prepared with oils and fats (aPR = 0.70, 95% CI = 0.51-0.97; p = 0.029). There was no significant relationship between anaemia occurrence and the household dietary diversity score.

conclusionsAbout half of the study children were found to be anaemic. The most significant contributors to anaemia in the study population were malnutrition, maternal education, feeding practices and birth order. The study findings suggest need of screening of children for anaemia at all nutritional clinics, promotion of education, addressing barriers to sustainable food supply and accessibility of nutrient-dense foods, treating anaemia in children alongside other micronutrient deficiencies and addressing the nutritional needs of multiparous mothers in refugee communities.

Indexed as

AnemiaRefugeesChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleNutritional StatusPrevalenceThinnessUgandaAnaemiaRefugee settlementUganda

Identifiers

PMID39799293
PMCPMC11724498

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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.