Evidence map›Paper›PMID 42898564›Full record

ArticleAnemia2026

Severity and Determinants of Anemia Among Adolescent Girls in Africa: A Multicountry and Multilevel Analysis of 25 Countries.

Bedilu Alamirie Ejigu, Getnet Bogale Begashaw, Fentanesh Nibret Tiruneh

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Article in Anemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bedilu Alamirie EjiguDepartment of Statistics Addis Ababa University Addis Ababa Ethiopia aau.edu.et.ORCID https://orcid.org/0000-0003-1159-6308
Getnet Bogale BegashawDepartment of Data Science Debre Berhan University Debre Berhan Ethiopia dbu.edu.et.ORCID https://orcid.org/0000-0002-7107-8388
Fentanesh Nibret TirunehDepartment of Human Nutrition Bahir Dar University P.O. Box 79 Bahir Dar Ethiopia bdu.edu.et.ORCID https://orcid.org/0000-0001-6513-4833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anemia remains a major public health concern in Africa, with substantial health and developmental consequences. Adolescents, particularly girls, are at increased risk due to rapid growth, menstruation, and inadequate dietary intake. Identifying the severity and determinants of anemia among adolescent girls in Africa is crucial for developing appropriate interventions, yet evidence remains scarce. Objective: To assess the severity and determinants of anemia among adolescent girls in Africa using nationally representative data. Methods: Data were obtained from the most recent Demographic and Health Surveys (DHS) of 25 African countries, including 41,662 adolescent girls aged 15-19 years. The severity of anemia was determined using descriptive statistics based on proportions. Anemia severity was modeled as a four-level ordinal outcome (none, mild, moderate, and severe) using survey-weighted multilevel ordinal (proportional-odds) logistic regression with a random intercept at the cluster level. Chi-square tests assessed initial associations, and adjusted odds ratios (AOR) with 95% confidence intervals (CI) were reported from the final model. Results: The overall magnitude of anemia among adolescent girls was 42.3% (95% CI: 41.96-44.20). In the multivariable analysis, factors significantly associated with lower odds of anemia included primary education (AOR = 0.84; 95% CI: 0.75-0.94), secondary and above education (AOR = 0.86; 95% CI: 0.75-0.98), rich and richer wealth status (AOR = 0.77; 95% CI: 0.65-0.91), employment (0.86; 95% CI: 0.78-0.94), hormonal contraceptive use (AOR = 0.44; 95% CI: 0.38-0.51), parity (0.85; 95% CI: 0.76-0.95), and normal and overweight/obese nutritional status (AOR = 0.84; 95% CI:0.73-0.97 and AOR = 0.75; 95% CI: 0.62-0.91), respectively. Conclusion: Anemia affects a substantial proportion of adolescent girls in Africa and is influenced by educational, economic, reproductive, and nutritional factors. Interventions should focus on keeping girls in school, encouraging employment opportunities, and maintaining healthy bodyweight. Addressing these determinants is vital for improving adolescent girls' health and achieving sustainable development goals.

Indexed as

adolescent girlsAfricaanemiahealth and nutrition

Identifiers

PMID42898564
PMCPMC13678286

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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.