Document Detail


Approaches to assessment of exposure to food- and supplement-derived amino acids.
MedLine Citation:
PMID:  15173448     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Although the amino acid composition of almost all food proteins is known, estimating the amino acid intake from the diet is extremely difficult because of the lack of available data. A conservative approach would be to determine the population distribution of protein intake, select the 97.5(th) or higher percentile of intake, assume all comes from the target protein, and estimate exposure to some specific amino acid. Any number of dietary survey methodologies could be used to conduct such a conservative approach. However, given the great variety of brands of food supplements, estimates of amino acid intakes from supplements are problematic. Firstly, few studies include supplements in their target nutrient sources because brand-level data would need to be retained and nutritional composition data would need to be recorded. Probabilistic modeling offers some solution provided some basic data are gathered. The percentage of the population regularly taking supplements and the frequency of consumption must be known. Therefore, data on the dietary supplement market would need to be known including the percent of brands containing amino acids and if possible specific amino acids together with concentrations. A probabilistic model as follows would ensue: probability of being a consumer of amino acid supplements; probability distribution function of frequency of use of supplements; probability distribution function of dose per eating occasion; market characteristics; probability distribution function for dietary amino acid intake. Using multiple iterations and perhaps bootstrapping on some elements of the model, fully worst-case model scenarios of exposure could be computed.
Authors:
Michael J Gibney; Sinéad N McCarthy
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  The Journal of nutrition     Volume:  134     ISSN:  0022-3166     ISO Abbreviation:  J. Nutr.     Publication Date:  2004 Jun 
Date Detail:
Created Date:  2004-06-02     Completed Date:  2004-07-08     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  0404243     Medline TA:  J Nutr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1660S-1663S; discussion 1664S-1666S, 1667S-1672S     Citation Subset:  IM    
Affiliation:
Institute of European Food Studies, Department of Clinical Medicine, Trinity Centre for Health Sciences, St. James's Hospital, Dublin 8, Ireland. mgibney@tcd.ie
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MeSH Terms
Descriptor/Qualifier:
Amino Acids / administration & dosage*
Dietary Supplements*
Food*
Humans
Models, Statistical
Nutrition Assessment
Chemical
Reg. No./Substance:
0/Amino Acids

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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