Document Detail

Dietary intake assessments in epidemiology: can we know what we are measuring?
MedLine Citation:
PMID:  16185896     Owner:  NLM     Status:  MEDLINE    
PURPOSE: We discuss fundamental assumptions required for the validation of dietary questionnaire assessments, using latent variable models. METHODS: We discuss some methodological aspects of latent variable modelling in terms of the triad method, for comparisons between questionnaire assessments, food consumption records and/or biomarkers. In particular, we address the recent proposal (Frazer et al) that biases due to correlated random errors between different measurement types could be overcome by using two biomarkers as instrumental variables, as recently proposed by. RESULTS: The instrumental variable approach proposed by Frazer et al, but also other validation models proposed so far, require the assumption that questionnaire measurements are specific for a defined type of food or nutrient intake (latent variable of interest) - that is, conditionally on the true intake levels of this food or nutrient the questionnaire measurements should have no association with intakes of any other dietary component. CONCLUSION: More methodological research is needed on the design of multivariate validation studies that might allow the examination of measurement specificity in practice.
Rudolf Kaaks; Pietro Ferrari
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Publication Detail:
Type:  Journal Article     Date:  2005-09-26
Journal Detail:
Title:  Annals of epidemiology     Volume:  16     ISSN:  1047-2797     ISO Abbreviation:  Ann Epidemiol     Publication Date:  2006 May 
Date Detail:
Created Date:  2006-05-01     Completed Date:  2006-10-30     Revised Date:  2008-06-23    
Medline Journal Info:
Nlm Unique ID:  9100013     Medline TA:  Ann Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  377-80     Citation Subset:  IM    
Nutrition and Hormones Group, International Agency for Research on Cancer, Lyon, France. Kaaks@IARC.FR
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MeSH Terms
Data Collection / methods*,  statistics & numerical data*
Epidemiologic Methods
Nutrition Assessment*
Comment In:
Ann Epidemiol. 2007 Mar;17(3):208   [PMID:  16882470 ]

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