ArticleScientific reports2024
Burden and determinants of anemia among lactating women in Ethiopia: evidence from demographic health survey.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- High Prevalence and Predictors of Maternal Anemia Risk: Nationwide Midwife-Reported Screening in Indonesia.Healthcare (Basel, Switzerland) · 2026Article
- Predictors of anemia among lactating women in ethiopia: Using 2016 EDHS; application of ordinal logistic regression model.Scientific reports · 2025Article
- Hotspot analysis of anaemia among pregnant women in Ethiopia: hotspot analysis of national demographic and health survey data.BMJ open · 2024Article
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Authors and funding
9 authors.
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Abstract
Globally one-third of global population are victims of anemia, significantly impacting maternal and infant health and linked to poor cognition, productivity, and mortality risks. We used randomly selected 4040 lactating mothers' record from nationally representative survey. Descriptive statistics were weighted, and the standard hemoglobin cutoff point (below 12 g/dl) was used. Bivariable and multivariable multilevel binary logistic regression model considering the individual and community-level factors associated with anemia was employed. Crude and adjusted odds ratios with a 95% confidence interval were reported. In Ethiopia, 32.3% (95% CI 30.9-33.7%) of lactating women were anemic, with 23.4% having mild, 7.3% moderate, and 1.2% severe anemia. Pastoral regions (Afar, Somalia, and Oromia region) had higher burden of anemia than the others. The advanced age of the mother above 45 years (AOR = 1.43 (1.11-1.82), unemployment (AOR = 1.19; 95% CI 1.08-1.32), household wealth index (AOR = 0.56; 95% CI 0.50-0.63), extended family size (AOR = 1.20; 95% CI 1.04-1.46), and not using family planning (AOR = 1.70; 95% CI 1.49-1.93) were significant factors associated with anemia. Anemia is a moderate public health problem and associated with location and other factors to be addressed via effective interventions.
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