A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)

Abstract Background Technology has advanced bringing new cost-effective methods to measure food intake. The aim of the study was to compare food and drink portion estimates from a traditional portion estimation method using 3D food models with portion estimates using an online dietary recall tool, I...

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Main Authors: Jennifer Bradley, Maisie K. Rowland, John N. S. Matthews, Ashley J. Adamson, Suzanne Spence
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Nutrition
Subjects:
Online Access:https://doi.org/10.1186/s40795-021-00415-5
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author Jennifer Bradley
Maisie K. Rowland
John N. S. Matthews
Ashley J. Adamson
Suzanne Spence
author_facet Jennifer Bradley
Maisie K. Rowland
John N. S. Matthews
Ashley J. Adamson
Suzanne Spence
author_sort Jennifer Bradley
collection DOAJ
description Abstract Background Technology has advanced bringing new cost-effective methods to measure food intake. The aim of the study was to compare food and drink portion estimates from a traditional portion estimation method using 3D food models with portion estimates using an online dietary recall tool, Intake24. Methods 11-12 year old children were recruited from secondary schools in Newcastle upon Tyne. Each pupil completed a two-day food diary followed by an interview during which pupils estimated food portion sizes using a range of 3D food models. They also completed Intake24 for the same 2 days. Bland Altman analyses were used to compare mean intake for each method. Results Seventy pupils completed both portion estimation methods. There was good agreement in food weight estimations between the two methods (geometric mean ratio 1.00), with limits of agreement ranging from minus 35% to plus 53%. Intake24 provided estimates of energy intake that were 1% lower on average than estimates of energy intake using the food models. Mean intakes of all macro and micronutrients using Intake24 were within 6% of the food model estimates. Conclusions The findings suggest that there was little difference in portion estimations from the two methods, allowing comparisons to be made between Intake24 data and food diary data collected from same age pupils using 3D food models in previous years.
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spelling doaj.art-6572ec7252074d46b221bd2d68884db12022-12-21T22:51:06ZengBMCBMC Nutrition2055-09282021-05-017111010.1186/s40795-021-00415-5A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)Jennifer Bradley0Maisie K. Rowland1John N. S. Matthews2Ashley J. Adamson3Suzanne Spence4Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle UniversityHuman Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle UniversitySchool of Mathematics, Statistics and Physics, Newcastle UniversityHuman Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle UniversityHuman Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle UniversityAbstract Background Technology has advanced bringing new cost-effective methods to measure food intake. The aim of the study was to compare food and drink portion estimates from a traditional portion estimation method using 3D food models with portion estimates using an online dietary recall tool, Intake24. Methods 11-12 year old children were recruited from secondary schools in Newcastle upon Tyne. Each pupil completed a two-day food diary followed by an interview during which pupils estimated food portion sizes using a range of 3D food models. They also completed Intake24 for the same 2 days. Bland Altman analyses were used to compare mean intake for each method. Results Seventy pupils completed both portion estimation methods. There was good agreement in food weight estimations between the two methods (geometric mean ratio 1.00), with limits of agreement ranging from minus 35% to plus 53%. Intake24 provided estimates of energy intake that were 1% lower on average than estimates of energy intake using the food models. Mean intakes of all macro and micronutrients using Intake24 were within 6% of the food model estimates. Conclusions The findings suggest that there was little difference in portion estimations from the two methods, allowing comparisons to be made between Intake24 data and food diary data collected from same age pupils using 3D food models in previous years.https://doi.org/10.1186/s40795-021-00415-5Dietary assessmentPortion size estimationChildrenAdolescentsIntake24Food models
spellingShingle Jennifer Bradley
Maisie K. Rowland
John N. S. Matthews
Ashley J. Adamson
Suzanne Spence
A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
BMC Nutrition
Dietary assessment
Portion size estimation
Children
Adolescents
Intake24
Food models
title A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
title_full A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
title_fullStr A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
title_full_unstemmed A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
title_short A comparison of food portion size estimation methods among 11–12 year olds: 3D food models vs an online tool using food portion photos (Intake24)
title_sort comparison of food portion size estimation methods among 11 12 year olds 3d food models vs an online tool using food portion photos intake24
topic Dietary assessment
Portion size estimation
Children
Adolescents
Intake24
Food models
url https://doi.org/10.1186/s40795-021-00415-5
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