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Cited by 302

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Proposed Recommended Nutrient Densities for Moderately Malnourished Children

Golden, Michael H.·2009·Food and Nutrition Bulletin

Abstract

Recommended Nutrient Intakes (RNIs) are set for healthy individuals living in clean environments. There are no generally accepted RNIs for those with moderate malnutrition, wasting, and stunting, who live in poor environments. Two sets of recommendations are made for the dietary intake of 30 essential nutrients in children with moderate malnutrition who require accelerated growth to regain normality: first, for those moderately malnourished children who will receive specially formulated foods and diets; and second, for those who are to take mixtures of locally available foods over a longer term to treat or prevent moderate stunting and wasting. Because of the change in definition of severe malnutrition, much of the older literature is pertinent to the moderately wasted or stunted child. A factorial approach has been used in deriving the recommendations for both functional, protective nutrients (type I) and growth nutrients (type II).

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Metadata

Authors
Golden, M. H.
Venue
Food and Nutrition Bulletin
Published
2009-09
Volume
30
Issue
3_suppl3
Pages
S267-342
ISSN
  • 0379-5721 (ISSN-L)
  • 1564-8265
OpenAlex
W2102643832
Cited by
302
References
5
FWCI
11.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Proposed Recommended Nutrient Densities for Moderately Malnourished Children. https://app.cochat.ai/papers/10.1177/15648265090303s302
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Golden, M. H. (2009). Proposed Recommended Nutrient Densities for Moderately Malnourished Children. Food and Nutrition Bulletin. https://doi.org/10.1177/15648265090303s302

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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.