Document Detail


Food composition issues--implications for the development of food-based dietary guidelines.
MedLine Citation:
PMID:  11683561     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Sound food composition databases that are both comprehensive and representative of available foods are an essential basic tool to develop Food Based Dietary Guidelines (FBDG). The main drawbacks of current food composition databases available in the European Union are: partial coverage of foods and nutrients, variability of analytical data, lack of accuracy in the description of food items, need for harmonisation of the expression of nutrients. An inappropriate use of these databases could lead to gross errors in the assessment of the nutrient intake levels, in the identification of the major sources of a nutrient, in the comparison of data between countries and in the analysis of time trends. Inadequacy of food composition data is, in part, responsible for the failure to understand some relationships between nutrient intakes and health or disease and for difficulties in establishing quantitative dietary guidelines in terms of nutrients. Recommendations are made for the compilation of future food composition databases and tools are proposed to enhance the quality of existing data. A careful study of the food composition databases is always necessary before nutrition recommendations are given and before trends in nutrient intakes are interpreted.
Authors:
C Leclercq; L M Valsta; A Turrini
Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Public health nutrition     Volume:  4     ISSN:  1368-9800     ISO Abbreviation:  Public Health Nutr     Publication Date:  2001 Apr 
Date Detail:
Created Date:  2001-10-30     Completed Date:  2001-12-04     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  9808463     Medline TA:  Public Health Nutr     Country:  England    
Other Details:
Languages:  eng     Pagination:  677-82     Citation Subset:  IM    
Affiliation:
National Institute for Food and Nutrition Research, Rome, Italy. leclercq@inn.ingrm.it
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MeSH Terms
Descriptor/Qualifier:
Data Interpretation, Statistical
Databases, Factual / standards*
Diet Surveys
European Union
Food Analysis / standards*,  statistics & numerical data
Humans
Nutrition Policy
Nutrition Surveys
Sensitivity and Specificity

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


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