ArticleFrontiers in public health2023
Inequalities in anemia among Peruvian children aged 6-59 months: A decomposition analysis.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Political instability and child anemia in Peru: a national interrupted time-series analysis, 2006-2024.Frontiers in public health · 2026Article
- Breastmilk microbiota and its association with infant iron deficiency anaemia: A 16S rRNA metagenomic study in Peruvian mothers cohort.PloS one · 2026Article
- Childhood anemia and household salt iodization in Peru: population disparities among children aged 6-59 months.Frontiers in nutrition · 2026Article
- Maternal body mass index and child haemoglobin: A national cross-sectional study in Peru.PloS one · 2026Article
- Addressing Anemia in High-Altitude Populations: Global Impact, Prevalence, Challenges, and Potential Solutions.American journal of hematology · 2025Review
- Ethnic disparities in the association between maternal socioeconomic status and childhood anemia in Peru: a nationwide multiyear cross-sectional study.Lancet regional health. Americas · 2025Article
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Abstract
Objective: To quantify the inequalities of anemia in Peruvian children aged 6-59 months and uncover its contributing factors. Materials and methods: We conducted a cross-sectional study based on the secondary data analysis of the 2021 Peruvian Demographic and Health Survey (DHS). Our sample included Peruvian children aged 6-59 months with complete data for the variables of interest. Anemia was defined as having a hemoglobin level of less than 11 g/dL, adjusted by altitude. Erreygers Concentration Index (ECI) and concentration curves were computed to estimate the socio-economic inequality in anemia among Peruvian children. Moreover, ECI was decomposed to figure out the contributing factors to the inequality of anemia and the residual variation. Results: Nationwide, the prevalence of anemia in Peruvian children was 29.47%. We found a pro-poor inequality regarding anemia at the national level (ECI = -0.1848). The determinants included in the model explained 81.85% of the overall socio-economic inequality in anemia. The largest contribution to inequality was from household- and community-related factors. Having a higher mother's education level (26.26%) and being from the highlands (24.91%) were the major significant contributors to the overall health inequality. Conclusion: Almost one-third of Peruvian children have anemia. A pro-poor inequality of anemia in Peruvian children was found. Public policies ought to address the major contributing factors of anemia inequality.
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