Abstract

Many children younger than 5 years in developing countries are exposed to multiple risks, including poverty, malnutrition, poor health, and unstimulating home environments, which detrimentally affect their cognitive, motor, and social-emotional development. There are few national statistics on the development of young children in developing countries. We therefore identified two factors with available worldwide data--the prevalence of early childhood stunting and the number of people living in absolute poverty--to use as indicators of poor development. We show that both indicators are closely associated with poor cognitive and educational performance in children and use them to estimate that over 200 million children under 5 years are not fulfilling their developmental potential. Most of these children live in south Asia and sub-Saharan Africa. These disadvantaged children are likely to do poorly in school and subsequently have low incomes, high fertility, and provide poor care for their children, thus contributing to the intergenerational transmission of poverty.

Keywords

PovertyDeveloping countryDisadvantagedMalnutritionEnvironmental healthCognitive developmentAffect (linguistics)Child developmentMedicineCognitionPsychologyEconomic growthDevelopmental psychologyEconomicsPsychiatry

MeSH Terms

AdolescentChildChild DevelopmentChildPreschoolCognitionCross-Sectional StudiesDeveloping CountriesDevelopmental DisabilitiesEducational StatusFemaleGrowth DisordersHumansInfantLongitudinal StudiesMalePovertyRisk Factors

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Publication Info

Year
2007
Type
article
Volume
369
Issue
9555
Pages
60-70
Citations
3513
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

3513
OpenAlex
2400
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Cite This

Sally Grantham‐McGregor, Yin Bun Cheung, Santiago Cueto et al. (2007). Developmental potential in the first 5 years for children in developing countries. The Lancet , 369 (9555) , 60-70. https://doi.org/10.1016/s0140-6736(07)60032-4

Identifiers

DOI
10.1016/s0140-6736(07)60032-4
PMID
17208643
PMCID
PMC2270351

Data Quality

Data completeness: 86%