The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A review of the evidence linking child stunting to economic outcomes
Open accessAbstract
Background: To understand the full impact of stunting in childhood it is important to consider the long-run effects of undernutrition on the outcomes of adults who were affected in early life. Focusing on the costs of stunting provides a means of evaluating the economic case for investing in childhood nutrition. Methods: We review the literature on the association between stunting and undernutrition in childhood and economic outcomes in adulthood. At the national level, we also evaluate the evidence linking stunting to economic growth. Throughout, we consider randomized controlled trials (RCTs), quasi-experimental approaches and observational studies. Results: Long-run evaluations of two randomized nutrition interventions indicate substantial returns to the programmes (a 25% and 46% increase in wages for those affected as children, respectively). Cost-benefit analyses of nutrition interventions using calibrated return estimates report a median return of 17.9:1 per child. Assessing the wage premium associated with adult height, we find that a 1-cm increase in stature is associated with a 4% increase in wages for men and a 6% increase in wages for women in our preferred set of studies which attempt to address unobserved confounding and measurement error. In contrast, the evidence on the association between economic growth and stunting is mixed. Conclusions: Countries with high rates of stunting, such as those in South Asia and sub-Saharan Africa, should scale up policies and programmes aiming to reduce child undernutrition as cost-beneficial investments that expand the economic opportunities of their children, better allowing them and their countries to reach their full potential. However, economic growth as a policy will only be effective at reducing the prevalence of stunting when increases in national income are directed at improving the diets of children, addressing gender inequalities and strengthening the status of women, improving sanitation and reducing poverty and inequities.
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Cites
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The effect of health on economic growth: a production function approach
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Labor market returns to an early childhood stimulation intervention in Jamaica
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Cohort Profile: The Dutch Hunger Winter Families Study
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Cited by
Egger, D., Miguel, E., Warren, S. S., Shenoy, A., Collins, E., Karlan, D., Parkerson, D., Mobarak, A. M., Fink, G., Udry, C., et al. (2021) · Science Advances · doi:10.1126/sciadv.abe0997 · Cited by 462
Dong, Y., Jan, C., Ma, Y., Dong, B., Zou, Z., Yang, Y., Xu, R., Song, Y., Ma, J., Sawyer, S. M., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(19)30075-0 · Cited by 238
Prado, E. L., Larson, L. M., Cox, K., Bettencourt, K., Kubes, J. N., & Shankar, A. H. (2019) · The Lancet Global Health · doi:10.1016/s2214-109x(19)30361-4 · Cited by 173
Causes and consequences of child growth faltering in low-resource settings
Mertens, A., Benjamin-Chung, J., Colford, J. M., Coyle, J., van der Laan, M. J., Hubbard, A. E., Rosete, S., Malenica, I., Hejazi, N., Sofrygin, O., et al. (2023) · Nature · doi:10.1038/s41586-023-06501-x · Cited by 130
Metadata
- Authors
- McGovern, M. E., Krishna, A., Aguayo, V. M., & Subramanian, S.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-03-30
- Volume
- 46
- Issue
- 4
- Pages
- 1171-1191
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2602151612
- Cited by
- 273
- References
- 7
- FWCI
- 13.19
- Type
- journal article
- Language
- en
- Open access
- bronze
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- McGovern, M. E., Krishna, A., Aguayo, V. M., & Subramanian, S. (2017). A review of the evidence linking child stunting to economic outcomes. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyx017
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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.