Inequalities in anemia among Peruvian children aged 6–59 months

A decomposition analysis

Bibliographic Data

ID22086191
AuthorsAli Al-Kassab-Córdova (0000-0003-3718-5857, Universidad San Ignacio de Loyola, corresponding author), Carolina Méndez-Guerra (0000-0002-5270-4339, Peruvian University of Applied Sciences), Pamela Robles-Valcarcel (0000-0001-5187-6297, Peruvian University of Applied Sciences), Luis Iberico-Bellomo (University of the Pacific), Kenedy Alva (0000-0003-0522-9931, Universidad de Murcia), Percy Herrera‐añazco (0000-0003-0282-6634, Private University of the North), Percy Herrera-Añazco, Vicente A Benites‐zapata (0000-0002-9158-1108, Universidad Científica del Sur), Vicente A Benites-Zapata
Year2023
Volume11
Pages1068083-1068083
Publication date2023-03-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1068083
PMID37064707
OpenAlexW4362519018
LanguageEN
Citations received2
References cited32

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

Anemia · Environmental health · Hemoglobin · Inequality · Public health · Demography · Hemoglobinopathies and Related Disorders · Indigenous Health and Education · Iron Metabolism and Disorders · Mathematics · Medicine · Internal Medicine · Pediatrics

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