Document Detail

Disaggregating composite food codes in the UK National Diet and Nutrition Survey food composition databank.
MedLine Citation:
PMID:  21045846     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To disaggregate composite food codes used in the UK National Diet and Nutrition Survey (NDNS) into their individual food components in order to provide a more complete estimate of intake at the individual food level.
METHODS: A total of 3216 composite food codes from the NDNS food composition databank were subject to disaggregation. The main food components used were meat, fish, fruit, vegetables and cheese, which were further divided into 26 subcategories.
RESULTS: It was shown that previous determination of meat containing composite food codes provided an overestimate of meat intake and underestimate of additional components such as fruit and vegetables.
CONCLUSIONS: By incorporating disaggregated data into NDNS, variations will be seen in consumption of some main food groups, but these variations may be also attributable to trends in consumption.
E Fitt; T N Mak; A M Stephen; C Prynne; C Roberts; G Swan; M Farron-Wilson
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  European journal of clinical nutrition     Volume:  64 Suppl 3     ISSN:  1476-5640     ISO Abbreviation:  Eur J Clin Nutr     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-11-03     Completed Date:  2011-02-17     Revised Date:  2014-02-20    
Medline Journal Info:
Nlm Unique ID:  8804070     Medline TA:  Eur J Clin Nutr     Country:  England    
Other Details:
Languages:  eng     Pagination:  S32-6     Citation Subset:  IM    
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MeSH Terms
Diet / statistics & numerical data*
Diet Records*
Diet Surveys*
Energy Intake
Great Britain
Nutritional Sciences
Grant Support
MC_U105960384//Medical Research Council; //Department of Health

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

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