Document Detail


Use of itemized Till receipts to adjust for correlated dietary measurement error.
MedLine Citation:
PMID:  16940037     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Recent studies suggest that measurement error in food frequency questionnaires includes a person-specific component correlated with that of other self-reported dietary assessments. Use of biomarkers has been recommended to adequately calibrate dietary assessment tools for unbiased estimation of associations between diet and disease. Data on biomarkers of intake are often collected only in small subsamples, because collection of biomarker data can be expensive and inconvenient for participants. In this paper, the authors propose a novel approach using itemized household grocery till receipts to calibrate dietary assessment. Till receipts are not self-recorded and the data obtained from them are not subject to person-specific bias, but the data need to be supported by self-completed diaries for foods eaten away from home. Till receipts may also prove cheaper to collect in larger samples. The authors discuss the many methodological challenges of using household-level data and discuss how till receipts might be used in practice, with or without the use of biomarkers.
Authors:
D C Greenwood; J K Ransley; M S Gilthorpe; J E Cade
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2006-08-28
Journal Detail:
Title:  American journal of epidemiology     Volume:  164     ISSN:  0002-9262     ISO Abbreviation:  Am. J. Epidemiol.     Publication Date:  2006 Nov 
Date Detail:
Created Date:  2006-11-06     Completed Date:  2007-01-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7910653     Medline TA:  Am J Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1012-8     Citation Subset:  IM    
Affiliation:
Biostatistics Unit, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, United Kingdom.
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MeSH Terms
Descriptor/Qualifier:
Biological Markers / analysis
Data Collection / methods
Food Habits*
Food Preferences
Humans
Models, Statistical
Nutrition Surveys*
Questionnaires
Chemical
Reg. No./Substance:
0/Biological Markers

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


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