Child health inequality in Sub-Saharan Africa

We investigate child height inequality and inequality of predicted height in the Sub-Saharan Africa (SSA) region by socioeconomic, demographic and geographical factors. We characterize their changes in age-cohorts (from 0‐1 up to 4‐5 years old) and determine the contribution of each factor to these...

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Veröffentlicht in:Economics and human biology 2022-12, Vol.47, p.101176-101176, Article 101176
Hauptverfasser: Pérez-Mesa, David, Marrero, Gustavo A., Darias-Curvo, Sara
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Sprache:eng
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Zusammenfassung:We investigate child height inequality and inequality of predicted height in the Sub-Saharan Africa (SSA) region by socioeconomic, demographic and geographical factors. We characterize their changes in age-cohorts (from 0‐1 up to 4‐5 years old) and determine the contribution of each factor to these changes. We extract data from the Demographic and Health Surveys (DHS) for 33 SSA countries covering the period from 2009 to 2016. Our measure of health is the standardized height of children below the age of five, adjusted by the age and gender distribution in each country. We show that height inequality is lower for older children than for their younger peers. However, the share of inequality caused by our set of factors rises along the age distribution in more than 80% of countries. We find that family background (reflected by maternal education and the household wealth), followed by home infrastructures related to water, toilet and cooking facilities, and the region of residence contribute to explaining the differences observed in child health inequality along the age distribution in SSA. •We estimate child height inequality and inequality of predicted height in 33 Sub-Saharan African countries.•We characterize the changes in height inequality along the age distribution.•Height inequality is lower for older children than for their younger peers.•Inequality caused by socioeconomic, demographic and geographic factors rises along the age distribution in most countrie.•Maternal education, household wealth and home infrastructures are key to explain differences along the age distribution.
ISSN:1570-677X
1873-6130
DOI:10.1016/j.ehb.2022.101176