4.6 Article

Concordance and determinants of mothers' and children's diets in Nigeria: an in-depth study of the 2018 Demographic and Health Survey

Journal

BMJ OPEN
Volume 13, Issue 7, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2022-070876

Keywords

nutrition; nutrition & dietetics; public health; community child health

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Studying the relationship between maternal and child food group intake can provide valuable insights for stakeholders designing nutrition programmes in low-income and middle-income countries. Improving the diversity of the diets in young children 6-23 months is a policy priority in Nigeria and globally.
ObjectivesImproving the diversity of the diets in young children 6-23 months is a policy priority in Nigeria and globally. Studying the relationship between maternal and child food group intake can provide valuable insights for stakeholders designing nutrition programmes in low-income and middle-income countries. DesignWe examined the relationship between maternal and child dietary diversity among 8975 mother-child pairs using the Nigeria 2018 Demographic and Health Survey (DHS). We assessed concordance and discordance between maternal and child food group intake using the McNemar's & chi;(2) test, and the determinants of child minimum dietary diversity (MDD-C) including women MDD (MDD-W) using hierarchical multivariable probit regression modelling. SettingNigeria. Participants8975 mother-child pairs from the Nigeria DHS. Primary and secondary outcome measuresMDD-C, MDD-W, concordance and discordance in the food groups consumed by mothers and their children. ResultsMDD increased with age for both children and mothers. Grains, roots and tubers had high concordance in mother-child dyads (90%); discordance was highest for legumes and nuts (36%), flesh foods (26%), and fruits and vegetables (39% for vitamin-A rich and 57% for other). Consumption of animal source food (dairy, flesh foods, eggs) was higher for dyads with older mothers, educated mothers and more wealthy mothers. Maternal MDD-W was the strongest predictor of MDD-C in multivariable analyses (coef 0.27; 95% CI 0.25 to 0.29, p<0.000); socioeconomic indicators including wealth (p<0.000), mother's education (p<0.000) were also statistically significant in multivariable analyses and rural residence (p<0.000) was statistically significant in bivariate analysis. ConclusionProgramming to address child nutrition should be aimed at the mother-child dyad as their food consumption patterns are related and some food groups appear to be withheld from children. Stakeholders including governments, development partners, non-governmental organizations, donors and civil society can act on these findings in their efforts to address undernutrition in the global child population.

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