Document Detail

The assessment of individual usual food intake in large-scale prospective studies.
MedLine Citation:
PMID:  20110669     Owner:  NLM     Status:  MEDLINE    
Recent research has called into question the current practice to estimate individual usual food intake in large-scale studies. In such studies, usual food intake has been defined as diet over the past year. The aim of this review is to summarise the concepts of dietary assessment methods providing food intake data over this time period. A conceptualised framework is given to help researchers to understand the more recent developments to improve dietary assessment in large-scale prospective studies, and also to help to spot the gaps that need to be addressed in future methodological research. The conceptual framework illustrates the current options for the assessment of an individual's food consumption over 1 year. Ideally, a person's food intake on each day of this year should be assessed. Due to participants' burden, and organisational and financial constraints, however, the options are limited to directly requesting the long-term average (e.g. food frequency questionnaires), or selecting a few days with detailed food consumption measurements (e.g. 24-hour dietary recalls) or using snapshot techniques (e.g. barcode scanning of purchases). It seems necessary and important to further evaluate the performance of statistical modelling of the individual usual food intake from all available sources. Future dietary assessment might profit from the growing prominence of internet and telecommunication technologies to further enhance the available data on food consumption for each study participant. Research is crucial to investigate the performance of innovative assessment tools. However, the self-reported nature of the data itself will always lead to bias.
Anne-Kathrin Illner; Ute Nöthlings; Karen Wagner; Heather Ward; Heiner Boeing
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review     Date:  2010-01-26
Journal Detail:
Title:  Annals of nutrition & metabolism     Volume:  56     ISSN:  1421-9697     ISO Abbreviation:  Ann. Nutr. Metab.     Publication Date:  2010  
Date Detail:
Created Date:  2010-03-05     Completed Date:  2010-05-18     Revised Date:  2014-02-19    
Medline Journal Info:
Nlm Unique ID:  8105511     Medline TA:  Ann Nutr Metab     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  99-105     Citation Subset:  IM    
Copyright Information:
Copyright 2010 S. Karger AG, Basel.
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MeSH Terms
Diet / methods*,  statistics & numerical data*
Diet Records*
Diet Surveys*
Eating / physiology*
Nutrition Assessment
Prospective Studies*
Grant Support
G0500300//Medical Research Council

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

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