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Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake

BACKGROUND: Accurate measurement of dietary intake is vital for providing nutrition interventions and understanding the complex role of diet in health. Traditional dietary assessment methods are very resource intensive and burdensome to participants. Technology may help mitigate these limitations an...

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Autores principales: Blanchard, Caroline M, Chin, Meghan K, Gilhooly, Cheryl H, Barger, Kathryn, Matuszek, Gregory, Miki, Akari J, Côté, Richard G, Eldridge, Alison L, Green, Hilary, Mainardi, Fabio, Mehers, Damian, Ronga, Frédéric, Steullet, Vera, Das, Sai Krupa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112765/
https://www.ncbi.nlm.nih.gov/pubmed/33693732
http://dx.doi.org/10.1093/jn/nxab012
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author Blanchard, Caroline M
Chin, Meghan K
Gilhooly, Cheryl H
Barger, Kathryn
Matuszek, Gregory
Miki, Akari J
Côté, Richard G
Eldridge, Alison L
Green, Hilary
Mainardi, Fabio
Mehers, Damian
Ronga, Frédéric
Steullet, Vera
Das, Sai Krupa
author_facet Blanchard, Caroline M
Chin, Meghan K
Gilhooly, Cheryl H
Barger, Kathryn
Matuszek, Gregory
Miki, Akari J
Côté, Richard G
Eldridge, Alison L
Green, Hilary
Mainardi, Fabio
Mehers, Damian
Ronga, Frédéric
Steullet, Vera
Das, Sai Krupa
author_sort Blanchard, Caroline M
collection PubMed
description BACKGROUND: Accurate measurement of dietary intake is vital for providing nutrition interventions and understanding the complex role of diet in health. Traditional dietary assessment methods are very resource intensive and burdensome to participants. Technology may help mitigate these limitations and improve dietary data capture. OBJECTIVE: Our objective was to evaluate the accuracy of a novel mobile application (PIQNIQ) in capturing dietary intake by self-report. Our secondary objective was to assess whether food capture using PIQNIQ was comparable with an interviewer-assisted 24-h recall (24HR). METHODS: This study was a single-center randomized clinical trial enrolling 132 adults aged 18 to 65 y from the general population. Under a provided-food protocol with 3 menus designed to include a variety of foods, participants were randomly assigned to 1 of 3 food capture methods: simultaneous entry using PIQNIQ, photo-assisted recall using PIQNIQ, and 24HR. Primary outcomes were energy and nutrient content (calories, total fat, carbohydrates, protein, added sugars, calcium, dietary fiber, folate, iron, magnesium, potassium, saturated fat, sodium, and vitamins A, C, D, and E) captured by the 3 methods. RESULTS: The majority of nutrients reported were within 30% of consumed intake in all 3 food capture methods (n = 129 completers). Reported intake was highly (>30%) overestimated for added sugars in both PIQNIQ groups and underestimated for calcium in the photo-assisted recall group only (P < 0.001 for all). However, in general, both PIQNIQ methods had similar levels of accuracy and were comparable to the 24HR except in their overestimation (>30%) of added sugars and total fat (P < 0.001 for both). CONCLUSIONS: Our results suggest that intuitive, technology-based methods of dietary data capture are well suited to modern users and, with proper execution, can provide data that are comparable to data obtained with traditional methods. This trial was registered at clinicaltrials.gov as NCT03578458.
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spelling pubmed-81127652021-05-17 Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake Blanchard, Caroline M Chin, Meghan K Gilhooly, Cheryl H Barger, Kathryn Matuszek, Gregory Miki, Akari J Côté, Richard G Eldridge, Alison L Green, Hilary Mainardi, Fabio Mehers, Damian Ronga, Frédéric Steullet, Vera Das, Sai Krupa J Nutr Methodology and Mathematical Modeling BACKGROUND: Accurate measurement of dietary intake is vital for providing nutrition interventions and understanding the complex role of diet in health. Traditional dietary assessment methods are very resource intensive and burdensome to participants. Technology may help mitigate these limitations and improve dietary data capture. OBJECTIVE: Our objective was to evaluate the accuracy of a novel mobile application (PIQNIQ) in capturing dietary intake by self-report. Our secondary objective was to assess whether food capture using PIQNIQ was comparable with an interviewer-assisted 24-h recall (24HR). METHODS: This study was a single-center randomized clinical trial enrolling 132 adults aged 18 to 65 y from the general population. Under a provided-food protocol with 3 menus designed to include a variety of foods, participants were randomly assigned to 1 of 3 food capture methods: simultaneous entry using PIQNIQ, photo-assisted recall using PIQNIQ, and 24HR. Primary outcomes were energy and nutrient content (calories, total fat, carbohydrates, protein, added sugars, calcium, dietary fiber, folate, iron, magnesium, potassium, saturated fat, sodium, and vitamins A, C, D, and E) captured by the 3 methods. RESULTS: The majority of nutrients reported were within 30% of consumed intake in all 3 food capture methods (n = 129 completers). Reported intake was highly (>30%) overestimated for added sugars in both PIQNIQ groups and underestimated for calcium in the photo-assisted recall group only (P < 0.001 for all). However, in general, both PIQNIQ methods had similar levels of accuracy and were comparable to the 24HR except in their overestimation (>30%) of added sugars and total fat (P < 0.001 for both). CONCLUSIONS: Our results suggest that intuitive, technology-based methods of dietary data capture are well suited to modern users and, with proper execution, can provide data that are comparable to data obtained with traditional methods. This trial was registered at clinicaltrials.gov as NCT03578458. Oxford University Press 2021-03-09 /pmc/articles/PMC8112765/ /pubmed/33693732 http://dx.doi.org/10.1093/jn/nxab012 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://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 Methodology and Mathematical Modeling
Blanchard, Caroline M
Chin, Meghan K
Gilhooly, Cheryl H
Barger, Kathryn
Matuszek, Gregory
Miki, Akari J
Côté, Richard G
Eldridge, Alison L
Green, Hilary
Mainardi, Fabio
Mehers, Damian
Ronga, Frédéric
Steullet, Vera
Das, Sai Krupa
Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake
title Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake
title_full Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake
title_fullStr Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake
title_full_unstemmed Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake
title_short Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake
title_sort evaluation of piqniq, a novel mobile application for capturing dietary intake
topic Methodology and Mathematical Modeling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112765/
https://www.ncbi.nlm.nih.gov/pubmed/33693732
http://dx.doi.org/10.1093/jn/nxab012
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