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Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies
BACKGROUND: Assessment of food intake is a cornerstone of nutritional research. However, the use of minimally validated dietary assessment methods is common and can generate misleading results. Thus, there is a need for valid, precise and cost-effective dietary assessment tools to be used in large c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050885/ https://www.ncbi.nlm.nih.gov/pubmed/32153814 http://dx.doi.org/10.1186/s40795-017-0153-3 |
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author | Lafrenière, Jacynthe Lamarche, Benoît Laramée, Catherine Robitaille, Julie Lemieux, Simone |
author_facet | Lafrenière, Jacynthe Lamarche, Benoît Laramée, Catherine Robitaille, Julie Lemieux, Simone |
author_sort | Lafrenière, Jacynthe |
collection | PubMed |
description | BACKGROUND: Assessment of food intake is a cornerstone of nutritional research. However, the use of minimally validated dietary assessment methods is common and can generate misleading results. Thus, there is a need for valid, precise and cost-effective dietary assessment tools to be used in large cohort studies. The objective is to validate a newly developed automated self-administered web-based 24-h dietary recall (R24W), within a population of adults taking part in fully controlled feeding studies. METHODS: Sixty two adults completed the R24W twice while being fed by our research team. Actual intakes were precisely known, thereby allowing the analysis of the proportion of adequately self-reported items. Association between offered and reported portion sizes was assessed with correlation coefficients and agreement with the kappa score while systematics biases were illustrated with Bland-Altman Plot. RESULTS: Participants received an average of 16 food items per testing day. They reported 89.3% of the items they received. The more frequently omitted food categories were vegetables included in recipes (40.0%) as well as side vegetables (20.0%) and represented less than 5% of the actual daily energy intake. Offered and self-reported portion sizes were significantly correlated (r = 0.80 P < 0.001) and demonstrated a strong agreement as assessed by the kappa score of 0.62. Reported portion sizes for individual food items were on average 3.2 g over the offered portion sizes. Portions of 100 g and above were on average underestimated by 2.4% (r = 0.68 P < 0.01; kappa score = 0.50) while small portions (less than 100 g) were overestimated by 17.1% (r = 0.46 P < 0.01; kappa score = 0.43). A nonsignificant underestimation (−13.9 kcal ± 646.3 kcal; P = 0.83) of energy intake was noted. CONCLUSION: R24W performed well as participants were able to report the great majority of items they ate and selected portion size strongly related to the one they received. This suggests that food items are easily to find within the R24W and images of portion sizes used in this dietary assessment tool are adequate and can provide valid food intake evaluation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40795-017-0153-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7050885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70508852020-03-09 Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies Lafrenière, Jacynthe Lamarche, Benoît Laramée, Catherine Robitaille, Julie Lemieux, Simone BMC Nutr Research Article BACKGROUND: Assessment of food intake is a cornerstone of nutritional research. However, the use of minimally validated dietary assessment methods is common and can generate misleading results. Thus, there is a need for valid, precise and cost-effective dietary assessment tools to be used in large cohort studies. The objective is to validate a newly developed automated self-administered web-based 24-h dietary recall (R24W), within a population of adults taking part in fully controlled feeding studies. METHODS: Sixty two adults completed the R24W twice while being fed by our research team. Actual intakes were precisely known, thereby allowing the analysis of the proportion of adequately self-reported items. Association between offered and reported portion sizes was assessed with correlation coefficients and agreement with the kappa score while systematics biases were illustrated with Bland-Altman Plot. RESULTS: Participants received an average of 16 food items per testing day. They reported 89.3% of the items they received. The more frequently omitted food categories were vegetables included in recipes (40.0%) as well as side vegetables (20.0%) and represented less than 5% of the actual daily energy intake. Offered and self-reported portion sizes were significantly correlated (r = 0.80 P < 0.001) and demonstrated a strong agreement as assessed by the kappa score of 0.62. Reported portion sizes for individual food items were on average 3.2 g over the offered portion sizes. Portions of 100 g and above were on average underestimated by 2.4% (r = 0.68 P < 0.01; kappa score = 0.50) while small portions (less than 100 g) were overestimated by 17.1% (r = 0.46 P < 0.01; kappa score = 0.43). A nonsignificant underestimation (−13.9 kcal ± 646.3 kcal; P = 0.83) of energy intake was noted. CONCLUSION: R24W performed well as participants were able to report the great majority of items they ate and selected portion size strongly related to the one they received. This suggests that food items are easily to find within the R24W and images of portion sizes used in this dietary assessment tool are adequate and can provide valid food intake evaluation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40795-017-0153-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-05 /pmc/articles/PMC7050885/ /pubmed/32153814 http://dx.doi.org/10.1186/s40795-017-0153-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lafrenière, Jacynthe Lamarche, Benoît Laramée, Catherine Robitaille, Julie Lemieux, Simone Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies |
title | Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies |
title_full | Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies |
title_fullStr | Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies |
title_full_unstemmed | Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies |
title_short | Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies |
title_sort | validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050885/ https://www.ncbi.nlm.nih.gov/pubmed/32153814 http://dx.doi.org/10.1186/s40795-017-0153-3 |
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