Cargando…

Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study

BACKGROUND: Combining traditional dietary assessment instruments has been suggested to improve precision of dietary intake estimates. However, this has not been investigated using web-based 24-h recall (R24W) or a web-based food-frequency questionnaire (wFFQ). OBJECTIVE: The aim of this study was to...

Descripción completa

Detalles Bibliográficos
Autores principales: Brassard, Didier, Fulgoni, Victor L, Robitaille, Julie, Lemieux, Simone, Lamarche, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482020/
https://www.ncbi.nlm.nih.gov/pubmed/31037276
http://dx.doi.org/10.1093/cdn/nzz014
_version_ 1783413821542498304
author Brassard, Didier
Fulgoni, Victor L
Robitaille, Julie
Lemieux, Simone
Lamarche, Benoît
author_facet Brassard, Didier
Fulgoni, Victor L
Robitaille, Julie
Lemieux, Simone
Lamarche, Benoît
author_sort Brassard, Didier
collection PubMed
description BACKGROUND: Combining traditional dietary assessment instruments has been suggested to improve precision of dietary intake estimates. However, this has not been investigated using web-based 24-h recall (R24W) or a web-based food-frequency questionnaire (wFFQ). OBJECTIVE: The aim of this study was to compare different combinations of web-based instruments to assess population-level dietary intake estimates (means and percentiles) and their precision, either with or without statistical modeling of within-person day-to-day variations. METHODS: As part of the cross-sectional PREDISE study, 1025 French-speaking adults completed 3 randomly allocated R24W and 1 wFFQ within 21 d. Crude estimates of intake were generated from either 1 or 3 repeated R24W. The National Cancer Institute (NCI) method was used to account for within-person variation. Usual intakes were modeled from 1 R24W repeated in a subsample (40%) and from 3 R24W, with or without consideration of data from the wFFQ. RESULTS: Using crude data from 3 R24W increased precision of estimates and modified distribution of intakes compared with using data from only 1 R24W. Using NCI-modeled data from 3 repeated R24W had no impact on the precision around mean intakes but increased precision of low and high percentiles intake estimates compared with NCI-modeled data from a partially repeated R24W. Considering data from a wFFQ in combination with data derived from 3 R24W did not influence the precision of intake estimates of most foods and nutrients. CONCLUSIONS: The data suggest that relying on repeated measures of food and nutrient intake through R24W is preferable to single assessment when within-person variation is not considered. Data also suggest that when NCI modeling is applied, using 3 R24W only improves the precision of low and high percentiles intake estimates compared with using a partially repeated web-based recall.
format Online
Article
Text
id pubmed-6482020
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-64820202019-04-29 Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study Brassard, Didier Fulgoni, Victor L Robitaille, Julie Lemieux, Simone Lamarche, Benoît Curr Dev Nutr ORIGINAL RESEARCH BACKGROUND: Combining traditional dietary assessment instruments has been suggested to improve precision of dietary intake estimates. However, this has not been investigated using web-based 24-h recall (R24W) or a web-based food-frequency questionnaire (wFFQ). OBJECTIVE: The aim of this study was to compare different combinations of web-based instruments to assess population-level dietary intake estimates (means and percentiles) and their precision, either with or without statistical modeling of within-person day-to-day variations. METHODS: As part of the cross-sectional PREDISE study, 1025 French-speaking adults completed 3 randomly allocated R24W and 1 wFFQ within 21 d. Crude estimates of intake were generated from either 1 or 3 repeated R24W. The National Cancer Institute (NCI) method was used to account for within-person variation. Usual intakes were modeled from 1 R24W repeated in a subsample (40%) and from 3 R24W, with or without consideration of data from the wFFQ. RESULTS: Using crude data from 3 R24W increased precision of estimates and modified distribution of intakes compared with using data from only 1 R24W. Using NCI-modeled data from 3 repeated R24W had no impact on the precision around mean intakes but increased precision of low and high percentiles intake estimates compared with NCI-modeled data from a partially repeated R24W. Considering data from a wFFQ in combination with data derived from 3 R24W did not influence the precision of intake estimates of most foods and nutrients. CONCLUSIONS: The data suggest that relying on repeated measures of food and nutrient intake through R24W is preferable to single assessment when within-person variation is not considered. Data also suggest that when NCI modeling is applied, using 3 R24W only improves the precision of low and high percentiles intake estimates compared with using a partially repeated web-based recall. Oxford University Press 2019-03-11 /pmc/articles/PMC6482020/ /pubmed/31037276 http://dx.doi.org/10.1093/cdn/nzz014 Text en Copyright © American Society for Nutrition 2019. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle ORIGINAL RESEARCH
Brassard, Didier
Fulgoni, Victor L
Robitaille, Julie
Lemieux, Simone
Lamarche, Benoît
Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study
title Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study
title_full Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study
title_fullStr Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study
title_full_unstemmed Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study
title_short Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study
title_sort examining the advantages of using multiple web-based dietary assessment instruments to measure population dietary intake: the predise study
topic ORIGINAL RESEARCH
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482020/
https://www.ncbi.nlm.nih.gov/pubmed/31037276
http://dx.doi.org/10.1093/cdn/nzz014
work_keys_str_mv AT brassarddidier examiningtheadvantagesofusingmultiplewebbaseddietaryassessmentinstrumentstomeasurepopulationdietaryintakethepredisestudy
AT fulgonivictorl examiningtheadvantagesofusingmultiplewebbaseddietaryassessmentinstrumentstomeasurepopulationdietaryintakethepredisestudy
AT robitaillejulie examiningtheadvantagesofusingmultiplewebbaseddietaryassessmentinstrumentstomeasurepopulationdietaryintakethepredisestudy
AT lemieuxsimone examiningtheadvantagesofusingmultiplewebbaseddietaryassessmentinstrumentstomeasurepopulationdietaryintakethepredisestudy
AT lamarchebenoit examiningtheadvantagesofusingmultiplewebbaseddietaryassessmentinstrumentstomeasurepopulationdietaryintakethepredisestudy