Evidence map›Paper›PMID 39754141›Full record

ArticleBMC public health2025

Determinants of anemia in school-going adolescents: a case study in Douala, Cameroon.

Annick Suzanne Mbazoa Mbou, Godfroy Rostant Pokam Djoko, Alice Ketchaji, Sali Aristide Dama, Florence Irita, Verance Carline Kegha Ngodem, Manuela Tchinda Magne, Alex Kevin Tako Djimefo, Joelle Laure Sobngwi

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Annick Suzanne Mbazoa MbouSchool of Health Sciences of the Catholic University of Central Africa / www.ess-ucac.org, Yaoundé, Cameroon. mbazoaannick@gmail.com.
Godfroy Rostant Pokam DjokoResearch Unit of Applied Biology and Ecology of the University of Dschang / www.univ-dschang.org, Dschang, Cameroon.
Alice KetchajiMinistry of Public Health / www.minsante.cm, Yaoundé, Cameroon.
Sali Aristide DamaNational AIDS Committee Control / www.cnls.cm, Yaoundé, Cameroon.
Florence IritaSchool of Health Sciences of the Catholic University of Central Africa / www.ess-ucac.org, Yaoundé, Cameroon.
Verance Carline Kegha NgodemUniversity of the Mountains / www.udm.aed-cm.org, Bangangté, Cameroon.
Manuela Tchinda MagneBiochemistry Research Unit of Medicinal Plants, Food Science and Nutrition of the University of Dschang / www.univ-dschang.org, Dschang, Cameroon.
Alex Kevin Tako DjimefoDepartment of Animal Organisms, University of Douala / www.univ-douala.cm, Douala, Cameroon.
Joelle Laure SobngwiRSD Institute / https://rsd-institute.org, Yaounde, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextAnemia is a medical condition resulting from a reduction in the number of red blood cells below the reference range. It is a major public health problem, particularly among adolescents, as it can have negative effects on cognitive performance, growth and reproduction. This study aims to assess the determinants of anemia among adolescents in schools in the city of Douala.

methodsA cross-sectional study was carried out among 511 adolescents aged 10-15 years, selected by random sampling from four secondary schools in Douala. Data were collected using a structured questionnaire, including anthropometric measurements and hemoglobin tests to assess anemia. Anemia was defined according to specific thresholds (e.g. hemoglobin < 12 g/dL for girls and < 13 g/dL for boys). Severity was classified as mild, moderate and severe. Multiple logistic regression analysis was performed to identify determinants of anemia, controlling for confounding variables, and associations were established by calculating Odds ratios, Odds ratio adjusts, confidence intervals and P-value. Statistical significance was declared at P < 0.05.

resultsThe mean age of participants was 11.9 ± 1.30 years, with a slight predominance of girls (50.7%) over boys (49.3%). The prevalence of anemia was 40.3% (95% CI: 35.0-45.6%), including 15.7% mild anemia (95% CI: 12.0-19.4%), 23.9% moderate anemia (95% CI: 19.7-28.1%) and 0.7% severe anemia (95% CI: 0.1-2.7%). Independent determinants of anemia included rural residence [AOR = 8.39 (95% CI: 5.26-13.65); p < 0.001], status of parents divorced [OR = 2.60 (95% CI: 1.57- 4.34); p = 0.0001] or deceased [AOR = 7.73 (95% CI: 1.65- 41.90); p = 0.011], onset of first menstrual period [AOR = 6.59 (95% CI: 2.28-72.19); p = 0.001], the absence of iron supplementation [AOR = 1.68 (95% CI: 1.04-2.74; p = 0.034] and the occurrence of an illness in the previous three months (malaria, sickle cell disease, viral hepatitis, amoebiasis, typhoid fever, etc.) [AOR = 3.24 (95% CI: 1.14-22.37); p = 0.012].

conclusionsThis study highlights a worrying prevalence of anemia among adolescents in Douala, with clearly identified determinants. The results underline the importance of factors such as rural residence, parental status and menarche, which can inform public health policies. It is essential to integrate these elements into targeted intervention programs, particularly in nutrition and iron supplementation, especially in rural areas. Finally, longitudinal studies and intervention-based research are needed to better understand the causal mechanisms of adolescent anemia in this context.

Indexed as

AnemiaAdolescentCameroonChildCross-Sectional StudiesFemaleHumansMalePrevalenceRisk FactorsSchoolsStudentsSurveys and QuestionnairesAdolescentsAnemiaCameroonDoualaSchool environment

Identifiers

PMID39754141
PMCPMC11699814

What OpenQuestion holds

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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 OpenQuestion graph.