Document Detail


Application of a repeat-measure biomarker measurement error model to 2 validation studies: examination of the effect of within-person variation in biomarker measurements.
MedLine Citation:
PMID:  21343245     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Repeat-biomarker measurement error models accounting for systematic correlated within-person error can be used to estimate the correlation coefficient (ρ) and deattenuation factor (λ), used in measurement error correction. These models account for correlated errors in the food frequency questionnaire (FFQ) and the 24-hour diet recall and random within-person variation in the biomarkers. Failure to account for within-person variation in biomarkers can exaggerate correlated errors between FFQs and 24-hour diet recalls. For 2 validation studies, ρ and λ were calculated for total energy and protein density. In the Automated Multiple-Pass Method Validation Study (n=471), doubly labeled water (DLW) and urinary nitrogen (UN) were measured twice in 52 adults approximately 16 months apart (2002-2003), yielding intraclass correlation coefficients of 0.43 for energy (DLW) and 0.54 for protein density (UN/DLW). The deattenuated correlation coefficient for protein density was 0.51 for correlation between the FFQ and the 24-hour diet recall and 0.49 for correlation between the FFQ and the biomarker. Use of repeat-biomarker measurement error models resulted in a ρ of 0.42. These models were similarly applied to the Observing Protein and Energy Nutrition Study (1999-2000). In conclusion, within-person variation in biomarkers can be substantial, and to adequately assess the impact of correlated subject-specific error, this variation should be assessed in validation studies of FFQs.
Authors:
Sarah Rosner Preis; Donna Spiegelman; Barbara Bojuan Zhao; Alanna Moshfegh; David J Baer; Walter C Willett
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2011-02-22
Journal Detail:
Title:  American journal of epidemiology     Volume:  173     ISSN:  1476-6256     ISO Abbreviation:  Am. J. Epidemiol.     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-03-09     Completed Date:  2011-05-11     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  7910653     Medline TA:  Am J Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  683-94     Citation Subset:  IM    
Copyright Information:
© The Author 2011. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved.
Affiliation:
Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Bias (Epidemiology)
Biological Markers / blood*
Data Interpretation, Statistical
Diet Surveys / methods,  standards*,  statistics & numerical data
Energy Intake
Female
Humans
Male
Middle Aged
Nitrogen / urine
Reproducibility of Results
Validation Studies as Topic*
Grant Support
ID/Acronym/Agency:
R01 CA50597/CA/NCI NIH HHS
Chemical
Reg. No./Substance:
0/Biological Markers; 7727-37-9/Nitrogen
Comments/Corrections
Comment In:
Am J Epidemiol. 2012 Jan 1;175(1):84-5; author reply 85   [PMID:  22088499 ]

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


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