Evidence map›Paper›PMID 36994612›Full record

ArticleMaternal & child nutrition2025

Burden and determinants of anaemia among in-school young adolescents in Ethiopia, Sudan and Tanzania.

Uttara Partap, Amare W Tadesse, Sachin Shinde, Huda Sherfi, Isabel Mank, Mary Mwanyika-Sando, Deepika Sharma, Till Baernighausen, Roisin Drysdale, Alemayehu Worku and 2 more

Open access · goldAbstract read
In one paragraph

Article in Maternal & child nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  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 at 9 institutions in 8 countries.

Uttara PartapDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Amare W TadesseDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Sachin ShindeDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-6369-4212
Huda SherfiSchool of Health Sciences, Ahfad University for Women, Omdurman, Sudan.
Isabel MankHeidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany.
Mary Mwanyika-SandoAfrica Academy for Public Health, Dar es Salaam, Tanzania.
Deepika SharmaUnited Nations Children's Fund, New York, New York, USA.
Till BaernighausenDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Roisin DrysdaleDSI-NRF Centre of Excellence in Human Development, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0003-0409-9549
Alemayehu WorkuAddis Continental Institute of Public Health, Addis Ababa, Ethiopia.
Amani TinkasimileAfrica Academy for Public Health, Dar es Salaam, Tanzania.
Wafaie W FawziDepartment of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
Addis Continental Institute of Public Health · ETAfrica Academy for Public Health · TZHarvard Global Health Institute · USAhfad University for Women · SDGerman Institute of Development and Sustainability · DEHarvard University · USHeidelberg University · DEUnited Nations Children's Fund · USUniversity of the Witwatersrand · ZA

Funding

UNICEF
6 · The paper itself

Abstract

Anaemia among adolescents is a global health problem. However, evidence regarding its burden and risk factors, particularly for younger adolescents and in sub-Saharan Africa (SSA), remains scarce. We aimed to assess the prevalence and potential determinants of anaemia among urban and semi-urban in-school young adolescents in Ethiopia, Sudan and Tanzania. We conducted a school-based survey among 3558 adolescents aged 10-14 years. A capillary blood sample was used to assess haemoglobin concentration. We assessed anaemia prevalence and examined associations between measures at the individual, household and school levels and anaemia using Poisson regression models adjusted for school and country-level clustering. The prevalence of anaemia was 32.0% overall, and 10.8% in Ethiopia, 25.0% in Sudan and 58.3% in Tanzania. Being a boy [adjusted risk ratio (RR): 1.11, 95% confidence interval (CI): 1.08-1.15, p < 0.001], poorer diet quality (RR: 1.12, 95% CI: 1.02-1.23 p = 0.015), no school handwashing stations (RR: 1.26, 95% CI: 1.20-1.32, p < 0.001) and food insecurity (RR for moderate/severe anaemia: 1.06, 95% CI: 1.02-1.10, p = 0.002) were associated with increased anaemia risk. Younger age (RR: 0.91, 95% CI: 0.86-0.96, p < 0.001) and increasing height-for-age z-score (RR: 0.93, 95% CI: 0.91-0.95, p < 0.001) were associated with decreased anaemia risk. Associations were consistent for moderate or severe anaemia. There was no evidence of effect modification by sex. This study highlights anaemia as a public health problem and identified nutritional, dietary and hygiene measures as key risk factors of anaemia among young adolescents in SSA. School-based interventions addressing these factors could reduce the burden of anaemia in adolescence.

Indexed as

Adolescent HealthAnemiaSocial Determinants of HealthStudentsAdolescentAge FactorsChildCluster AnalysisCross-Sectional StudiesDietEthiopiaFemaleFood InsecurityHand DisinfectionHemoglobinsHumansHemoglobinsadolescentanaemiadiet, food, and nutritionEthiopiahygieneSudanTanzania

Identifiers

PMID36994612
PMCPMC12208909
OpenAlexW4361272514

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.