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A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps

Mobile dietary record apps have been increasingly validated by studies with various study designs. This review aims to evaluate the overall accuracy of dietary record apps in measuring the intake of energy, macro- and micronutrients, and food groups in real-life settings and the designs of validatio...

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Autores principales: Zhang, Liangzi, Misir, Andreja, Boshuizen, Hendriek, Ocké, Marga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8634532/
https://www.ncbi.nlm.nih.gov/pubmed/34019624
http://dx.doi.org/10.1093/advances/nmab058
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author Zhang, Liangzi
Misir, Andreja
Boshuizen, Hendriek
Ocké, Marga
author_facet Zhang, Liangzi
Misir, Andreja
Boshuizen, Hendriek
Ocké, Marga
author_sort Zhang, Liangzi
collection PubMed
description Mobile dietary record apps have been increasingly validated by studies with various study designs. This review aims to evaluate the overall accuracy of dietary record apps in measuring the intake of energy, macro- and micronutrients, and food groups in real-life settings and the designs of validation studies. We systematically searched mobile dietary record validation studies published during the period from 2013 to 2019. We identified 14 studies for the systematic review, of which 11 studies were suitable for meta-analyses on energy intake and 8 studies on macronutrient intake. Mean differences and SDs of nutrient estimations between the app and the reference method from studies were pooled using a random-effects model. All apps underestimated energy intake when compared with their reference methods, with a pooled effect of −202 kcal/d (95% CI: −319, −85 kcal/d); the heterogeneity of studies was 72%. After stratification, studies that used the same food-composition table for both the app and the reference method had a lower level of heterogeneity (0%) and a pooled effect of −57 kcal/d (95% CI: −116, 2 kcal/d). The heterogeneity of studies in the differences in carbohydrate, fat, and protein intake was 54%, 73%, and 80%, with the pooled effect of −18.8 g/d, −12.7 g/d, and −12.2 g/d, respectively, after excluding outliers. The intakes of micronutrients and food groups were statistically nonsignificantly underestimated by the apps in most cases. In conclusion, dietary record apps underestimated food consumption compared with traditional dietary assessment methods. Moreover, varying study designs have been found across studies. Recommended practices for conducting validation studies were formulated including considering biomarkers as the reference, testing in a larger and more representative study population for a longer period, avoiding the learning effect of each method, and comparing food group or food item consumption in addition to comparing energy and nutrient intakes.
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spelling pubmed-86345322021-12-02 A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps Zhang, Liangzi Misir, Andreja Boshuizen, Hendriek Ocké, Marga Adv Nutr Review Mobile dietary record apps have been increasingly validated by studies with various study designs. This review aims to evaluate the overall accuracy of dietary record apps in measuring the intake of energy, macro- and micronutrients, and food groups in real-life settings and the designs of validation studies. We systematically searched mobile dietary record validation studies published during the period from 2013 to 2019. We identified 14 studies for the systematic review, of which 11 studies were suitable for meta-analyses on energy intake and 8 studies on macronutrient intake. Mean differences and SDs of nutrient estimations between the app and the reference method from studies were pooled using a random-effects model. All apps underestimated energy intake when compared with their reference methods, with a pooled effect of −202 kcal/d (95% CI: −319, −85 kcal/d); the heterogeneity of studies was 72%. After stratification, studies that used the same food-composition table for both the app and the reference method had a lower level of heterogeneity (0%) and a pooled effect of −57 kcal/d (95% CI: −116, 2 kcal/d). The heterogeneity of studies in the differences in carbohydrate, fat, and protein intake was 54%, 73%, and 80%, with the pooled effect of −18.8 g/d, −12.7 g/d, and −12.2 g/d, respectively, after excluding outliers. The intakes of micronutrients and food groups were statistically nonsignificantly underestimated by the apps in most cases. In conclusion, dietary record apps underestimated food consumption compared with traditional dietary assessment methods. Moreover, varying study designs have been found across studies. Recommended practices for conducting validation studies were formulated including considering biomarkers as the reference, testing in a larger and more representative study population for a longer period, avoiding the learning effect of each method, and comparing food group or food item consumption in addition to comparing energy and nutrient intakes. Oxford University Press 2021-05-21 /pmc/articles/PMC8634532/ /pubmed/34019624 http://dx.doi.org/10.1093/advances/nmab058 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Zhang, Liangzi
Misir, Andreja
Boshuizen, Hendriek
Ocké, Marga
A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps
title A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps
title_full A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps
title_fullStr A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps
title_full_unstemmed A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps
title_short A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps
title_sort systematic review and meta-analysis of validation studies performed on dietary record apps
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8634532/
https://www.ncbi.nlm.nih.gov/pubmed/34019624
http://dx.doi.org/10.1093/advances/nmab058
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