The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
The stunting syndrome in developing countries
Open accessAbstract
Linear growth failure is the most common form of undernutrition globally. With an estimated 165 million children below 5 years of age affected, stunting has been identified as a major public health priority, and there are ambitious targets to reduce the prevalence of stunting by 40% between 2010 and 2025. We view this condition as a 'stunting syndrome' in which multiple pathological changes marked by linear growth retardation in early life are associated with increased morbidity and mortality, reduced physical, neurodevelopmental and economic capacity and an elevated risk of metabolic disease into adulthood. Stunting is a cyclical process because women who were themselves stunted in childhood tend to have stunted offspring, creating an intergenerational cycle of poverty and reduced human capital that is difficult to break. In this review, the mechanisms underlying linear growth failure at different ages are described, the short-, medium- and long-term consequences of stunting are discussed, and the evidence for windows of opportunity during the life cycle to target interventions at the stunting syndrome are evaluated.
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Cited by
Childhood stunting: a global perspective
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The Human Microbiome and Child Growth – First 1000 Days and Beyond
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Metadata
- Authors
- Prendergast, A. J., & Humphrey, J. H.
- Venue
- Paediatrics and International Child Health
- Publisher
- Informa UK Limited
- Published
- 2014-10-13
- Volume
- 34
- Issue
- 4
- Pages
- 250-265
- ISSN
- 2046-9047 (ISSN-L)
- 2046-9055
- OpenAlex
- W1983214907
- Cited by
- 1,153
- References
- 18
- FWCI
- 33.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
