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. 2022 Aug;107(8):719-725.
doi: 10.1136/archdischild-2021-323218. Epub 2021 Dec 24.

Diet and development among children aged 36-59 months in low-income countries

Affiliations

Diet and development among children aged 36-59 months in low-income countries

Lilia Bliznashka et al. Arch Dis Child. 2022 Aug.

Abstract

Objective: To assess the associations between diet, stimulation and development among children 36-59 months of age in low-income and middle-income countries (LMICs).

Design: We pooled Demographic and Health Survey data on 12 126 children aged 36-59 months from 15 LMICs. Child diet indicators included dietary diversity score (DDS, range 0-7), minimum dietary diversity (MDD, defined as DDS ≥4) and animal source foods (ASFs) consumption. Child development was assessed using the Early Childhood Development Index and stimulation by the number of stimulation activities (range 0-6). Associations were assessed using generalised linear models.

Results: In our sample, 18% of children met MDD and 50% received ≥4 stimulation activities. The prevalence of suboptimal cognitive, socioemotional, literacy-numeracy and physical development was 24%, 32%, 87% and 11%, respectively. Higher DDS, meeting MDD and consuming ASFs were associated with 8%-13% more stimulation activities. Children who met MDD were slightly less likely to have suboptimal literacy-numeracy development compared with children who did not meet MDD: relative risk 0.97 (95% CI 0.95 to 1.00). DDS, meeting MDD and ASFs consumption were not associated with cognitive, socioemotional or physical development. However, there was evidence of positive associations between MDD and cognitive and literacy-numeracy development among subgroups of children, including those who received ≥4 stimulation activities or attended an early childhood care and education programme.

Conclusions: Child diet was associated with more stimulation activities. However, independent of stimulation, socioeconomic status and other factors, child diet appeared to be a prominent determinant only of literacy-numeracy development among children 36-59 months of age.

Keywords: child development; child health; global health.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Heterogeneity of the association between child minimum dietary diversity and suboptimal child development by child, maternal and household factors, comparing children who met minimum dietary diversity and children who did not. Displayed are only factors that modified the associations with at least one child development domain, that is, p value for interaction was <0.05. All values are relative risk and 95% CIs. All models applied country-specific cluster variables and sampling weights. Estimates controlled for household wealth, rurality, household size, access to improved sanitation and access to improved water source; maternal age, education and marital status; stimulation; child age, sex and attendance of an early childhood education programme (preschool) and country and survey year.
Figure 2
Figure 2
Heterogeneity of the association between child consumption of animal source foods and suboptimal child development by child, maternal and household factors, comparing children who consumed animal source foods and children who did not. Displayed are only factors that modified the associations with at least one child development domain, that is, p value for interaction was <0.05. All values are relative risk and 95% CIs. All models applied country-specific cluster variables and sampling weights. Estimates controlled for household wealth, rurality, household size, access to improved sanitation and access to improved water source; maternal age, education and marital status; stimulation; child age, sex and attendance of an early childhood education programme and country and survey year.

Comment in

References

    1. Lu C, Cuartas J, Fink G, et al. . Inequalities in early childhood care and development in low/middle-income countries: 2010–2018. BMJ Glob Health 2020;5:e002314. 10.1136/bmjgh-2020-002314 - DOI - PMC - PubMed
    1. Gil JD, Ewerling F, Ferreira LZ, et al. . Early childhood suspected developmental delay in 63 low- and middle-income countries: large within- and between-country inequalities documented using National health surveys. J Glob Health 2020;10:010427. 10.7189/jogh.10.010427 - DOI - PMC - PubMed
    1. Yu H, McCoach DB, Gottfried AW, et al. . Stability of intelligence from infancy through adolescence: an autoregressive latent variable model. Intelligence 2018;69:8–15. 10.1016/j.intell.2018.03.011 - DOI
    1. Black MM, Lutter CK, Trude ACB. All children surviving and thriving: re-envisioning UNICEF’s conceptual framework of malnutrition. The Lancet Global Health 2020;8:e766–7. 10.1016/S2214-109X(20)30122-4 - DOI - PubMed
    1. Black MM, Walker SP, Fernald LCH, et al. . Early childhood development coming of age: science through the life course. Lancet 2017;389:77–90. 10.1016/S0140-6736(16)31389-7 - DOI - PMC - PubMed

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