Evidence map›Paper›PMID 39483782›Full record

ArticleFrontiers in nutrition2024

Maternal socio-economic status determines animal source food consumption of children aged 6-23 months in East African countries: a multilevel mixed-effects generalized linear model.

Ibsa Mussa, Mulugeta Gamachu, Lemma Demissie Regassa, Abdi Birhanu, Fethia Mohammed, Alemayehu Deressa Weyessa, Addis Eyeberu, Adera Debela, Hamdi Fekredin Zakaria

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Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Ibsa MussaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Mulugeta GamachuSchool of Medicine, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Lemma Demissie RegassaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Abdi BirhanuSchool of Medicine, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Fethia MohammedDepartment of Psychiatry, School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Alemayehu Deressa WeyessaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Addis EyeberuSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Adera DebelaSchool of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Hamdi Fekredin ZakariaSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutrient deficiencies in Africa persist due to limited access to animal-source foods, causing a higher undernutrition prevalence, with 30.7% stunted children under five, which is higher than the global average of 22.0%. In African regions, there needs to be more information on access, consumption, and factors influencing children's animal-source food consumption. Therefore, we comprehensively analyse data from the Demographic and Health Surveys (DHS) to determine factors associated with children's (aged 6-23 months) consumption of animal-source foods (ASFs) in East African countries, which is crucial for policy and program development. Methods: We utilized cross-sectional pooled DHS data from nine East African countries reported from 2015 to 2021. The sample size consisted of 18,686 weighted children aged 6-23 months who were included. The DHS data were collected from women (15-49 years old) from households in each enumeration area of each country. We calculated the pooled proportion of consumption of foods of animal origin using multi-level logistic regression analysis to determine factors of ASFs, and the strength of the association was measured by an adjusted odds ratio (AOR) with a 95% CI and a Result: The study found that 51.07% (95% CI: 50.26-51.88%) of infants and young children in East Africa consume ASFs, with variation across countries, of which 28.26% (95% CI: 26.31-30.29%) was the lowest in Burundi and 55.81% (95% CI: 53.39-58.21%) was the highest ASF consumption in Zimbabwe. The amount of ASF consumed grows with children's age and varies greatly between countries. In addition, children in the wealthiest quintile and with the highest educational attainment consume more ASFs. However, those who lived in rural areas consumed fewer ASFs. Conclusion: The consumption of ASFs increased with the age of children, maternal education, and household wealth index. The government and non-government sectors should implement public health interventions targeting rural residents and poor households to increase access to and consumption of ASFs for children aged 6-23 months in East Africa.

Indexed as

animal source food consumptionchildren aged 6–23 monthsEast Africamaternal socio-economicmulti-level analysis

Identifiers

PMID39483782
PMCPMC11525980

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