Peer-reviewed article
Measuring socioeconomic gaps in nutrition and early child development in Bolivia
Pablo Celhay, Sebastián Martínez, Cecilia Vidal ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study examined differences in nutrition and early development outcomes between rich and poor children in Bolivia, using data from a nationally representative survey of children aged 0–59 months. Children in the wealthiest households were significantly taller, heavier, and less likely to have anemia, vitamin A deficiency, or delays in motor and communication skills compared to children in the poorest households. The gaps widened as children got older, particularly after age three. The findings show that poverty is strongly linked to poor nutrition and developmental delays in Bolivian children.
Key points
- Children in the richest quintile were 0.95 SD taller than those in the poorest quintile
- Anemia prevalence was 68.6% in the poorest quintile versus 40.9% in the richest quintile
- Vitamin A deficiency was 39.0% in the poorest quintile versus 29.9% in the richest
- Socioeconomic gaps in development widened substantially by age three
- Gaps persisted across multiple measures: anthropometrics, micronutrient deficiencies, and developmental delays
Limitations
The study is observational and cannot establish causation, only associations between socioeconomic status and child outcomes. It does not evaluate an intervention, so it cannot tell us which policies or programmes would be effective in closing these gaps.
Abstract
BACKGROUND: A large body of evidence shows that socioeconomic status (SES) is strongly associated to children's early development, health and nutrition. Few studies have looked at within sample differences across multiple measures of child nutrition and development. This paper examines SES gaps in child nutritional status and development in Bolivia using a representative sample of children 0-59 months old and a rich set of outcomes, including micronutrient deficiencies, anthropometic measures, and gross motor and communicative development. METHODS: We construct direct and proxy measures of living standards based on household expenditures and on ownership of assets combined with access to services and dwelling characteristics. The data for this study come from a nationally representative household survey in Bolivia that contains information on health, nutrition, and child development tests. We used a regression framework to assess the adjusted associations between child development outcomes and socioeconomic status, after controlling for other demographic factors that might affect child's development. The SES gap in child development was estimated by OLS. To explore when the development gaps between children in different socioeconomic groups start and how they change for children at different ages, we analyze the differences in outcomes between the poorest (Q1) and richest (Q5) quintiles by child's age by estimating kernel weighted local polynomial regressions of standardized scores for all child development indicators. RESULTS: There are large and statistically significant differences in all anthropometrics z-scores between children in Q5 and children in Q1: height for age (0.95 SD), weight for age (0.70 SD), and weight for height (0.21 SD). When we divide the sample into children at the bottom and top consumption quintiles the results show that 68.6% of children in the poorest quintile are anemic. While this percentage falls to 40.9% for children in the richest quintile, it remains high compared to other countries in the region. The prevalence of vitamin A deficiency is 29.9% for children in the richest quintile and almost 10 percentage points higher for those at the bottom quintile (39.0%); the prevalence of Iron deficiency for children in the top and bottom quintiles is 16.4% and 23.8%, respectively. Compared to the most deprived quintile, children in the wealthiest quintile are less likely to have iron deficiency, anemia, to be stunted, and to have a risk of delays in gross motor and communicative development. At age three, most of these gaps have increased substantially. Our findings are robust to the choice of socioeconomic measurement and highlight the need for targeted policies to reduce developmental gaps. CONCLUSION: These findings highlight the need for targeted public policies that invest in multiple dimensions of child development as early as possible, including health, nutrition and cognitive and verbal stimulation. From a policy perspective, the large socioeconomic gaps in nutrition outcomes documented here reinforce the need to strengthen efforts that tackle the multiple causes of malnutrition for the poorest.