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Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers

The Oxford WebQ is an online 24-hour dietary questionnaire that is appropriate for repeated administration in large-scale prospective studies, including the UK Biobank study and the Million Women Study. We compared the performance of the Oxford WebQ and a traditional interviewer-administered multipl...

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Autores principales: Greenwood, Darren C, Hardie, Laura J, Frost, Gary S, Alwan, Nisreen A, Bradbury, Kathryn E, Carter, Michelle, Elliott, Paul, Evans, Charlotte E L, Ford, Heather E, Hancock, Neil, Key, Timothy J, Liu, Bette, Morris, Michelle A, Mulla, Umme Z, Petropoulou, Katerina, Potter, Gregory D M, Riboli, Elio, Young, Heather, Wark, Petra A, Cade, Janet E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254925/
https://www.ncbi.nlm.nih.gov/pubmed/31318012
http://dx.doi.org/10.1093/aje/kwz165
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author Greenwood, Darren C
Hardie, Laura J
Frost, Gary S
Alwan, Nisreen A
Bradbury, Kathryn E
Carter, Michelle
Elliott, Paul
Evans, Charlotte E L
Ford, Heather E
Hancock, Neil
Key, Timothy J
Liu, Bette
Morris, Michelle A
Mulla, Umme Z
Petropoulou, Katerina
Potter, Gregory D M
Riboli, Elio
Young, Heather
Wark, Petra A
Cade, Janet E
author_facet Greenwood, Darren C
Hardie, Laura J
Frost, Gary S
Alwan, Nisreen A
Bradbury, Kathryn E
Carter, Michelle
Elliott, Paul
Evans, Charlotte E L
Ford, Heather E
Hancock, Neil
Key, Timothy J
Liu, Bette
Morris, Michelle A
Mulla, Umme Z
Petropoulou, Katerina
Potter, Gregory D M
Riboli, Elio
Young, Heather
Wark, Petra A
Cade, Janet E
author_sort Greenwood, Darren C
collection PubMed
description The Oxford WebQ is an online 24-hour dietary questionnaire that is appropriate for repeated administration in large-scale prospective studies, including the UK Biobank study and the Million Women Study. We compared the performance of the Oxford WebQ and a traditional interviewer-administered multiple-pass 24-hour dietary recall against biomarkers for protein, potassium, and total sugar intake and total energy expenditure estimated by accelerometry. We recruited 160 participants in London, United Kingdom, between 2014 and 2016 and measured their biomarker levels at 3 nonconsecutive time points. The measurement error model simultaneously compared all 3 methods. Attenuation factors for protein, potassium, total sugar, and total energy intakes estimated as the mean of 2 applications of the Oxford WebQ were 0.37, 0.42, 0.45, and 0.31, respectively, with performance improving incrementally for the mean of more measures. Correlation between the mean value from 2 Oxford WebQs and estimated true intakes, reflecting attenuation when intake is categorized or ranked, was 0.47, 0.39, 0.40, and 0.38, respectively, also improving with repeated administration. These correlations were similar to those of the more administratively burdensome interviewer-based recall. Using objective biomarkers as the standard, the Oxford WebQ performs well across key nutrients in comparison with more administratively burdensome interviewer-based 24-hour recalls. Attenuation improves when the average value is taken over repeated administrations, reducing measurement error bias in assessment of diet-disease associations.
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spelling pubmed-72549252020-06-03 Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers Greenwood, Darren C Hardie, Laura J Frost, Gary S Alwan, Nisreen A Bradbury, Kathryn E Carter, Michelle Elliott, Paul Evans, Charlotte E L Ford, Heather E Hancock, Neil Key, Timothy J Liu, Bette Morris, Michelle A Mulla, Umme Z Petropoulou, Katerina Potter, Gregory D M Riboli, Elio Young, Heather Wark, Petra A Cade, Janet E Am J Epidemiol Practice of Epidemiology The Oxford WebQ is an online 24-hour dietary questionnaire that is appropriate for repeated administration in large-scale prospective studies, including the UK Biobank study and the Million Women Study. We compared the performance of the Oxford WebQ and a traditional interviewer-administered multiple-pass 24-hour dietary recall against biomarkers for protein, potassium, and total sugar intake and total energy expenditure estimated by accelerometry. We recruited 160 participants in London, United Kingdom, between 2014 and 2016 and measured their biomarker levels at 3 nonconsecutive time points. The measurement error model simultaneously compared all 3 methods. Attenuation factors for protein, potassium, total sugar, and total energy intakes estimated as the mean of 2 applications of the Oxford WebQ were 0.37, 0.42, 0.45, and 0.31, respectively, with performance improving incrementally for the mean of more measures. Correlation between the mean value from 2 Oxford WebQs and estimated true intakes, reflecting attenuation when intake is categorized or ranked, was 0.47, 0.39, 0.40, and 0.38, respectively, also improving with repeated administration. These correlations were similar to those of the more administratively burdensome interviewer-based recall. Using objective biomarkers as the standard, the Oxford WebQ performs well across key nutrients in comparison with more administratively burdensome interviewer-based 24-hour recalls. Attenuation improves when the average value is taken over repeated administrations, reducing measurement error bias in assessment of diet-disease associations. Oxford University Press 2019-10 2019-07-18 /pmc/articles/PMC7254925/ /pubmed/31318012 http://dx.doi.org/10.1093/aje/kwz165 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Practice of Epidemiology
Greenwood, Darren C
Hardie, Laura J
Frost, Gary S
Alwan, Nisreen A
Bradbury, Kathryn E
Carter, Michelle
Elliott, Paul
Evans, Charlotte E L
Ford, Heather E
Hancock, Neil
Key, Timothy J
Liu, Bette
Morris, Michelle A
Mulla, Umme Z
Petropoulou, Katerina
Potter, Gregory D M
Riboli, Elio
Young, Heather
Wark, Petra A
Cade, Janet E
Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers
title Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers
title_full Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers
title_fullStr Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers
title_full_unstemmed Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers
title_short Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers
title_sort validation of the oxford webq online 24-hour dietary questionnaire using biomarkers
topic Practice of Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254925/
https://www.ncbi.nlm.nih.gov/pubmed/31318012
http://dx.doi.org/10.1093/aje/kwz165
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