Advancing digital nutrition assessment: development and evaluation of the UK eNutriFFQv2.0

[thumbnail of eNutriFFQv2.0 development_Nut J_anonymous_V2_accepted version.pdf]
Text
- Accepted Version
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Weech, M. ORCID: https://orcid.org/0000-0003-1738-877X, Fallaize, R. ORCID: https://orcid.org/0000-0003-3734-6489, Zenun Franco, R., Sutton, R., Fotiou, M., Robertson, N., Hwang, F. ORCID: https://orcid.org/0000-0002-3243-3869 and Lovegrove, J. A. ORCID: https://orcid.org/0000-0001-7633-9455 (2026) Advancing digital nutrition assessment: development and evaluation of the UK eNutriFFQv2.0. Nutrition. 113212. ISSN 1873-1244 doi: 10.1016/j.nut.2026.113212 (In Press)

Abstract/Summary

Digital dietary assessment tools are highly beneficial for nutrition research and personalised interventions. This paper describes the development and evaluation of eNutriFFQv2.0, an updated online food frequency questionnaire designed to reflect current diets in the United Kingdom (UK). Updates included modernised food lists based on recent UK population surveys, food composition tables, and food portion photos to improve accuracy and user experience. To assess reproducibility, UK adults completed the FFQ twice, 14 days apart; validity was evaluated against a 3-day weighed food record in a sub sample. Multiple statistical methods were used. After excluding participants with unfeasible energy intakes, 87 participants completed the reproducibility and 53 the evaluation. The final eNutriFFQv2.0 captured 164 items and estimated intake for 56 nutrients and 6 food groups. Agreement with the WFR was acceptable to good for 25 out of the 29 nutrients analysed (weighted kappa 0.21- 0.77), with ≤10% misclassification into opposite quartiles for most nutrients. Bland- Altman plots showed good agreement for energy (176kcal/d higher in FFQ1) and macronutrient estimates. Reproducibility was good for 24 out of the 29 nutrients analysed (weighted kappa 0.58-0.85) with <5% misclassification. Mean bias for estimates of carbohydrate, fat and protein were small (0.0-0.7). Energy estimates were 209kcal/d (10.7%) higher in the first compared with second completion of the FFQ. These findings demonstrate that eNutriFFQv2.0 is a valid and reliable tool for assessing nutrient intake in UK adults, offering a practical, scalable solution for research and public health in the context of digital health and personalised dietary interventions.

Altmetric Badge

Dimensions Badge

Item Type Article
URI https://centaur.reading.ac.uk/id/eprint/129496
Identification Number/DOI 10.1016/j.nut.2026.113212
Refereed Yes
Divisions Life Sciences > School of Biological Sciences > Biomedical Sciences
Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences > Human Nutrition Research Group
Publisher Elsevier
Publisher Statement CC BY 4.0
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record