KANG et al

This study explores common factors associated with not meeting minimum dietary diversity (MDD) among 27,072 children aged 6–23 months in Eastern and Southern Africa using data from nine Demographic and Health Surveys from 2013 to 2016. MDD was defined as consumption of more than or equals to five of...

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Veröffentlicht in:Maternal and child nutrition 2023-07, Vol.19 (3)
Hauptverfasser: Kang, Yunhee, Heidkamp, Rebecca A, Mako-Mushaninga, Kudakwashe, Garg, Aashima, Matji, Joan N, Nyawo, Mara, Craig, Hope C, Thorne-Lyman, Andrew L
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container_issue 3
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container_title Maternal and child nutrition
container_volume 19
creator Kang, Yunhee
Heidkamp, Rebecca A
Mako-Mushaninga, Kudakwashe
Garg, Aashima
Matji, Joan N
Nyawo, Mara
Craig, Hope C
Thorne-Lyman, Andrew L
description This study explores common factors associated with not meeting minimum dietary diversity (MDD) among 27,072 children aged 6–23 months in Eastern and Southern Africa using data from nine Demographic and Health Surveys from 2013 to 2016. MDD was defined as consumption of more than or equals to five of eight food groups including breast milk in the past 24 h. Equity gaps were calculated as the difference in MDD prevalence between the top and bottom wealth quintiles. Logistic regression was conducted to identify common factors for not meeting MDD at the household, maternal and child levels across two or more countries to inform regional policies to improve children's diets. Kenya had the highest MDD wealth equity gap (40.4 pts), and South Africa had the smallest (14.4 pts). Equity gaps for flesh foods or eggs (up to 39.8 pp) were larger than for grain or legumes (up to 20 pp). Common risk factors for not reaching MDD included younger child age (6–11 months) (n = 9 countries), no formal maternal occupation (n = 6), not receiving vitamin-A supplementation (n = 3), younger maternal age (n = 3), lower maternal education (n = 3), no media (n = 3) or newspaper (n = 3) exposure, lower household wealth quintile (n = 3), use of nonefficient cooking fuel (n = 2), longer time to get to the water source (n = 2), not listening to the radio (n = 2) and higher birth order (n = 2). Priorities for improving MDD in the region include introducing diverse foods at a young age from 6 months with early nutrition counselling, promoting higher maternal education, increasing food purchasing power and ensuring the support of younger mothers.
doi_str_mv 10.1111/mcn.13487
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MDD was defined as consumption of more than or equals to five of eight food groups including breast milk in the past 24 h. Equity gaps were calculated as the difference in MDD prevalence between the top and bottom wealth quintiles. Logistic regression was conducted to identify common factors for not meeting MDD at the household, maternal and child levels across two or more countries to inform regional policies to improve children's diets. Kenya had the highest MDD wealth equity gap (40.4 pts), and South Africa had the smallest (14.4 pts). Equity gaps for flesh foods or eggs (up to 39.8 pp) were larger than for grain or legumes (up to 20 pp). Common risk factors for not reaching MDD included younger child age (6–11 months) (n = 9 countries), no formal maternal occupation (n = 6), not receiving vitamin-A supplementation (n = 3), younger maternal age (n = 3), lower maternal education (n = 3), no media (n = 3) or newspaper (n = 3) exposure, lower household wealth quintile (n = 3), use of nonefficient cooking fuel (n = 2), longer time to get to the water source (n = 2), not listening to the radio (n = 2) and higher birth order (n = 2). 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source Applied Social Sciences Index & Abstracts (ASSIA); Wiley Online Library Open Access; DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Age
Birth order
Breast milk
Breastfeeding & lactation
Children
Children & youth
Cooking
Diet
Dietary supplements
Drinking water
Education
Eggs
Food
Food consumption
Food groups
Fruits
Health surveys
Healthy food
Households
Legumes
Mass media
Milk
Mothers
Nutrition
Nutrition research
Purchasing power
Risk factors
Vegetables
Wealth
title KANG et al
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