Does the Nutri-Score 2023 algorithm provide consistent classification across European food supplies? A cross-sectional study using branded food composition data from 14 countries
C. Julia, T. Vasseur, H. Alexiou, J.W. Beulens, A. Buyken, T. Bohn, P. Ducrot, A.K. Engelbert, M.-N. Falquet, E. Infanger, B. Merz, E.H.M. Temme, S. Vandevijere, BMJ Public Health 4 (2026).
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Journal Article
| Published
| English
Author
Julia, Chantal;
Vasseur, Théo;
Alexiou, Hélène;
Beulens, Joline WJ;
Buyken, AnetteLibreCat;
Bohn, Torsten;
Ducrot, Pauline;
Engelbert, Ann Katin;
Falquet, Marie-Noelle;
Infanger, Esther;
Merz, Benedikt;
Temme, Elisabeth H M
All
All
Abstract
Introduction: The Nutri-Score is a summary graded and colour-coded front of pack nutritional label providing an overall assessment of the nutritional value of prepacked products. While its 2023 update has been shown to be consistent with food-based dietary guidelines in the countries in which it has been adopted, its application has not been investigated in a wider geographical area. The objective of this study was to describe the classification of products according to the Nutri-Score in a large number of European Union (EU) countries.
Methods: Branded food composition from 14 European countries was obtained from Euromonitor. Food products were classified according to the Nutri-Score algorithm, based on their content in energy (kJ/100 g), saturated fats (g/100 g), sugars (g/100 g), salt (g/100 g), proteins (g/100 g), dietary fibres (g/100 g) and fruit, vegetables and legumes (%/100 g). The distribution of the 2023 and 2015 Nutri-Score classifications was described across countries and food categories.
Results: Overall, classification according to the 2023 Nutri-Score was consistent across 408 399 products from 14 countries and consistent with food-based dietary guidelines: >90% of frozen fruit and vegetables or >95% pulses were classified in the more favourable classes of the Nutri-Score (A/B), while >90% of discretionary foods such as chocolate confectionery and sweet biscuits were classified in the less favourable classes (D/E). Cross-country differences in classification reflected underlying variability in nutrient composition of products (eg, salt content in refined breads ranged from 1.05 to 1.23 g/100 g across countries).
Conclusion: The Nutri-Score classification appeared consistent across a large geographical area, confirming its potential as an EU-wide front-of-package label. While some residual challenges remain for a limited number of specific product groups (eg, whole-grain pasta or rice), our findings indicate that the 2023 update represents a substantial improvement over the 2015 algorithm.
Publishing Year
Journal Title
BMJ Public Health
Volume
4
Issue
3
LibreCat-ID
Cite this
Julia C, Vasseur T, Alexiou H, et al. Does the Nutri-Score 2023 algorithm provide consistent classification across European food supplies? A cross-sectional study using branded food composition data from 14 countries. BMJ Public Health. 2026;4(3). doi:10.1136/ bmjph-2026-005015
Julia, C., Vasseur, T., Alexiou, H., Beulens, J. W., Buyken, A., Bohn, T., Ducrot, P., Engelbert, A. K., Falquet, M.-N., Infanger, E., Merz, B., Temme, E. H. M., & Vandevijere, S. (2026). Does the Nutri-Score 2023 algorithm provide consistent classification across European food supplies? A cross-sectional study using branded food composition data from 14 countries. BMJ Public Health, 4(3). https://doi.org/10.1136/ bmjph-2026-005015
@article{Julia_Vasseur_Alexiou_Beulens_Buyken_Bohn_Ducrot_Engelbert_Falquet_Infanger_et al._2026, title={Does the Nutri-Score 2023 algorithm provide consistent classification across European food supplies? A cross-sectional study using branded food composition data from 14 countries}, volume={4}, DOI={10.1136/ bmjph-2026-005015}, number={3}, journal={BMJ Public Health}, author={Julia, Chantal and Vasseur, Théo and Alexiou, Hélène and Beulens, Joline WJ and Buyken, Anette and Bohn, Torsten and Ducrot, Pauline and Engelbert, Ann Katin and Falquet, Marie-Noelle and Infanger, Esther and et al.}, year={2026} }
Julia, Chantal, Théo Vasseur, Hélène Alexiou, Joline WJ Beulens, Anette Buyken, Torsten Bohn, Pauline Ducrot, et al. “Does the Nutri-Score 2023 Algorithm Provide Consistent Classification across European Food Supplies? A Cross-Sectional Study Using Branded Food Composition Data from 14 Countries.” BMJ Public Health 4, no. 3 (2026). https://doi.org/10.1136/ bmjph-2026-005015.
C. Julia et al., “Does the Nutri-Score 2023 algorithm provide consistent classification across European food supplies? A cross-sectional study using branded food composition data from 14 countries,” BMJ Public Health, vol. 4, no. 3, 2026, doi: 10.1136/ bmjph-2026-005015.
Julia, Chantal, et al. “Does the Nutri-Score 2023 Algorithm Provide Consistent Classification across European Food Supplies? A Cross-Sectional Study Using Branded Food Composition Data from 14 Countries.” BMJ Public Health, vol. 4, no. 3, 2026, doi:10.1136/ bmjph-2026-005015.
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