Iron-Rich Complementary Foods: Imperative for All Infants

Determinants of iron-rich food deficiency among children under 5 years in sub-Saharan Africa: a comprehensive analysis of Demographic and Health Surveys

BACKGROUND

Iron deficiency is a major public health problem that affects the physical and cognitive development of children under 5 years of age (under-5 children) in sub-Saharan Africa (SSA). However, the factors associated with the limited consumption of iron-rich foods in the region are poorly understood.

OBJECTIVE

This study examined the prevalence and determinants of iron-rich food deficiency among under-5 children in 26 SSA countries.

DESIGN

This nationally representative quantitative study employed pooled data from Demographic and Health Surveys conducted between 2010 and 2019.

METHODS

Representative samples comprising 296 850 under-5 children from the various countries were used. Bivariate and multivariate logistic regression models were used to determine the associations between the lack of iron-rich food uptake and various sociodemographic factors.

RESULT

The overall prevalence of iron-rich food deficiency among the children in the entire sample was 56.75%. The prevalence of iron-rich food deficiency varied widely across the 26 countries, ranging from 42.76% in Congo Democratic Republic to 77.50% in Guinea. Maternal education, particularly primary education (OR 0.62, 95% CI 0.57 to 0.68) and higher education (OR 0.58, 95% CI 0.52 to 0.64), demonstrated a reduced likelihood of iron-rich food deficiency in the sample. Likewise, paternal education, with both primary education (OR 0.69, 95% CI 0.63 to 0.75) and higher education (OR 0.66, 95% CI 0.60 to 0.73) showed decreased odds of iron-rich food deficiency. Postnatal visits contributed significantly to reducing the odds of iron-rich food deficiency (OR 0.90, 95% CI 0.83 to 0.95), along with antenatal visits, which also had a positive impact (OR 0.84, 95% CI 0.74 to 0.95). Finally, residents in rural areas showed slightly higher odds of iron-rich food deficiency (OR 1.12, 95% CI 1.10 to 1.28).

CONCLUSION

Based on the findings, interventions targeting iron-food deficiency in the SSA region should take into strong consideration the key determinants highlighted in this study.

Nutritional inequalities among under-five children: a geospatial analysis of hotspots and cold spots in 73 low- and middle-income countries

Background

Child undernutrition is a severe health problem in the developing world, which affects children’s development in the long term. This study analyses the extent and patterns of under-five child undernutrition using Demographic and Health Surveys (DHS) for 73 low- and middle-income countries (LMICs).

Methods

First, we mapped the prevalence of undernutrition in the developing world. Second, using the LISA (a local indicator of spatial association) technique, we analyzed the geographical patterns in undernutrition to highlight the localized hotspots (regions with high undernutrition prevalence surrounded by similar other regions), cold spots (regions with low undernutrition prevalence surrounded by similar other regions), and outliers (regions with high undernutrition surrounded by low undernutrition and vice versa). Third, we used Moran’s I to find global patterns in child undernutrition.

Results

We find that South Asia has the highest under-five child undernutrition rates. The intra-country nutritional inequalities are highest in Burundi (stunting), Kenya (wasting), and Madagascar (underweight). The local indicator of spatial association (LISA) analysis suggests that South Asia, Middle East and North Africa (MENA) region, and Sub-Saharan Africa are undernutrition hotspots and Europe and Central Asia and Latin America, and the Caribbean are undernutrition cold spots (regions with low undernutrition surrounded by similar other regions). Getis Ord-Gi* estimates generally support LISA analysis. Moran’s I and Geary’s C gave similar results about the global patterns of undernutrition. Geographically weighted regressions suggest that several socioeconomic indicators significantly explain child undernutrition.

Conclusions

We found a significant within and across country variation in stunting, wasting and underweight rates among the under-five children’s population. The geospatial analysis also suggested that stunting, wasting, and underweight patterns exhibit clear regional patterns, underscoring the need for coordinated interventions at the regional level.