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Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds

(1) Background: Smartphone dietary assessment apps can be acceptable and valid data collection methods but have predominantly been validated in highly educated women, and none specifically measured eating-out habits in young adults. (2) Methods: Participants recorded their food and beverage consumpt...

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Autores principales: Wellard-Cole, Lyndal, Chen, Juliana, Davies, Alyse, Wong, Adele, Huynh, Sharon, Rangan, Anna, Allman-Farinelli, Margaret
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471468/
https://www.ncbi.nlm.nih.gov/pubmed/30875772
http://dx.doi.org/10.3390/nu11030621
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author Wellard-Cole, Lyndal
Chen, Juliana
Davies, Alyse
Wong, Adele
Huynh, Sharon
Rangan, Anna
Allman-Farinelli, Margaret
author_facet Wellard-Cole, Lyndal
Chen, Juliana
Davies, Alyse
Wong, Adele
Huynh, Sharon
Rangan, Anna
Allman-Farinelli, Margaret
author_sort Wellard-Cole, Lyndal
collection PubMed
description (1) Background: Smartphone dietary assessment apps can be acceptable and valid data collection methods but have predominantly been validated in highly educated women, and none specifically measured eating-out habits in young adults. (2) Methods: Participants recorded their food and beverage consumption for three days using the Eat and Track (EaT) app, and intakes were compared with three dietitian-administered 24-h recall interviews matched to the same days as the reference method. Wilcoxon signed-rank or t-tests, correlation coefficients and Bland–Altman plots assessed agreement between the two methods for energy and percentage energy from nutrients (%E). (3) Results: One hundred and eighty nine of 216 participants (54% females, 60% resided in higher socioeconomic areas, 49% university-educated) completed the study. There were significant differences in median energy intake between methods (p < 0.001), but the EaT app had acceptable agreement for most nutrient densities at the group level. Correlation coefficients ranged from r = 0.56 (%E fat) to 0.82 (%E sugars), and between 85% and 94% of participants were cross-classified into the same or adjacent quartiles. Bland–Altman plots showed wide limits of agreement but no obvious biases for nutrient densities except carbohydrate in males. (4) Conclusions: The EaT app can be used to assess group nutrient densities in a general population of 18-to-30-year olds.
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spelling pubmed-64714682019-04-25 Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds Wellard-Cole, Lyndal Chen, Juliana Davies, Alyse Wong, Adele Huynh, Sharon Rangan, Anna Allman-Farinelli, Margaret Nutrients Article (1) Background: Smartphone dietary assessment apps can be acceptable and valid data collection methods but have predominantly been validated in highly educated women, and none specifically measured eating-out habits in young adults. (2) Methods: Participants recorded their food and beverage consumption for three days using the Eat and Track (EaT) app, and intakes were compared with three dietitian-administered 24-h recall interviews matched to the same days as the reference method. Wilcoxon signed-rank or t-tests, correlation coefficients and Bland–Altman plots assessed agreement between the two methods for energy and percentage energy from nutrients (%E). (3) Results: One hundred and eighty nine of 216 participants (54% females, 60% resided in higher socioeconomic areas, 49% university-educated) completed the study. There were significant differences in median energy intake between methods (p < 0.001), but the EaT app had acceptable agreement for most nutrient densities at the group level. Correlation coefficients ranged from r = 0.56 (%E fat) to 0.82 (%E sugars), and between 85% and 94% of participants were cross-classified into the same or adjacent quartiles. Bland–Altman plots showed wide limits of agreement but no obvious biases for nutrient densities except carbohydrate in males. (4) Conclusions: The EaT app can be used to assess group nutrient densities in a general population of 18-to-30-year olds. MDPI 2019-03-14 /pmc/articles/PMC6471468/ /pubmed/30875772 http://dx.doi.org/10.3390/nu11030621 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wellard-Cole, Lyndal
Chen, Juliana
Davies, Alyse
Wong, Adele
Huynh, Sharon
Rangan, Anna
Allman-Farinelli, Margaret
Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds
title Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds
title_full Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds
title_fullStr Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds
title_full_unstemmed Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds
title_short Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds
title_sort relative validity of the eat and track (eat) smartphone app for collection of dietary intake data in 18-to-30-year olds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471468/
https://www.ncbi.nlm.nih.gov/pubmed/30875772
http://dx.doi.org/10.3390/nu11030621
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