Cade, J.E. orcid.org/0000-0003-3421-0121 (2026) Developing new dietary assessment methods: myfood24 focus. Proceedings of The Nutrition Society. ISSN: 0029-6651
Abstract
Traditional methods of measuring diet, mainly FFQ, are not fit for purpose. Diet is complex, with over 150 000 different food items available in UK supermarkets. This review describes the limitations of nutritional assessment methods used in the past. It provides an overview of recent methods using newer technologies, including online tool myfood24. Limitations of dietary assessment methods include recall bias; inability to estimate portion sizes; lack of adaptability across diverse populations; and inadequate food composition data. New tools include mobile apps for real-time intake tracking; use of image-based approaches for portion sizes and food identification; sensor technologies such as smart utensils and bite counters. Online platforms provide an economical approach for large-scale epidemiology. myfood24 is an online tool, developed for research and validated using biomarkers. Having demonstrated success with >250 000 research participants in over 27 countries; myfood24 is also used in healthcare, for student education and other settings. myfood24 focuses on accurate data and ease of participant use. The underlying food composition database curated by nutritionists has fewer missing data and more nutrient variables than standard generic tables. The database includes diet quality and sustainability measures. A new app includes the novel myfood24 Diet Optimization Engine suggesting individual dietary changes to meet nutrition targets. New dietary assessment tools provide more accurate data with deeper insights into dietary behaviour. They need to be used in large epidemiological surveys; for public health population screening and with patients to fully realise their potential.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s), 2026. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Nutrition assessment; eating; mobile applications; portion size; public health; surveys and questionnaires |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds) |
| Date Deposited: | 14 Sep 2026 13:39 |
| Last Modified: | 14 Sep 2026 13:39 |
| Status: | Published online |
| Publisher: | Cambridge University Press |
| Identification Number: | 10.1017/s0029665126105096 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:245364 |
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