Income and education disparities in childhood malnutrition: a multi-country decomposition analysis.

Autor: Ijaiya MA; Data-Lead Africa, 10th street, Bassan Plaza, Block F, 3rd floor, Central Business District, Abuja, Nigeria. Mukhtarijaiya@yahoo.com., Anjorin S; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK., Uthman OA; Warwick Centre for Global Health, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Jazyk: angličtina
Zdroj: BMC public health [BMC Public Health] 2024 Oct 18; Vol. 24 (1), pp. 2882. Date of Electronic Publication: 2024 Oct 18.
DOI: 10.1186/s12889-024-20378-z
Abstrakt: Introduction: Childhood malnutrition is a complex issue with a range of contributing factors. The consequences of malnutrition are severe, particularly for children. This study aims to identify the factors contributing to inequality gaps in childhood malnutrition. Our study provides insights into modifiable elements to inform interventions targeted at distinct contexts and populations to improve child nutrition.
Methods: This study utilized data from the Demographic and Health Surveys (DHS) of 27 countries. First, the risk differences (RDs) between the prevalence of childhood malnutrition among the determinant variables, household income, and maternal education categories were calculated. The Blinder‒Oaxaca decomposition was subsequently used to determine the extent to which the difference in childhood malnutrition prevalence between low-income and high-income groups and maternal education levels results from the contributory effects of the explanatory variables: child and maternal individual-level compositional factors.
Results: We examined data from 138,782 children in 27 countries from 2015 to 2020. The prevalence of childhood malnutrition (10.5%) varied across countries, ranging from 6.5% in Burundi to 29.5% in Timor Leste. On average, the prevalence of childhood malnutrition was 11.0% in low-income households and 10.7% among mothers without education. Some nations had pro-low-income (i.e., malnutrition concentrated among children from poor households) or pro-no-maternal education (i.e., malnutrition concentrated among children from mothers with no formal education) inequality in childhood malnutrition, but most did not. We found a complex interplay of compositional effects, such as the child's age, maternal education, maternal health behavior, and place of residence, that influence the inequality in childhood malnutrition rates across 10 pro-low-income countries. In addition, we also found that a complex mix of compositional effects, such as the household wealth index, maternal health behavior, and maternal age, contribute to childhood malnutrition inequality between educated and uneducated mothers across the 7 pro-no maternal education countries.
Conclusion: The prevalence of childhood malnutrition varies among low-income, high-income, and no maternal education-maternal education groups. This study highlights the need for a country-specific approach to addressing childhood malnutrition, with policies and interventions tailored to each country's specific context.
(© 2024. The Author(s).)
Databáze: MEDLINE
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