{
  "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 13,
  "authors": [
    {
      "name": "Chantal Julia"
    },
    {
      "name": "Théo Vasseur"
    },
    {
      "name": "Hélène Alexiou"
    },
    {
      "name": "Joline W J Beulens"
    },
    {
      "name": "Anette E Buyken"
    },
    {
      "name": "Torsten Bohn"
    },
    {
      "name": "Pauline Ducrot"
    },
    {
      "name": "Ann Katrin Engelbert"
    },
    {
      "name": "Marie-Noëlle Falquet"
    },
    {
      "name": "Esther Infanger"
    },
    {
      "name": "Benedikt Merz"
    },
    {
      "name": "Elisabeth H M Temme"
    },
    {
      "name": "Stefanie Vandevijvere"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/70zd81c6d23tp.bib",
  "cited_by": 0,
  "doi": "10.1136/bmjph-2026-005015",
  "fulltext_url": null,
  "id": "70zd81c6d23tp",
  "issns": [
    "2753-4294",
    "2753-4294"
  ],
  "landing_url": "https://hal.science/hal-05764087v1",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.sdv"
    ],
    [
      "hal",
      "1.sdv.aen"
    ],
    [
      "openalex",
      "2739|Consumer Attitudes and Food Labeling"
    ]
  ],
  "openalex": "W7213316106",
  "pdf_url": "https://hal.science/hal-05764087/document",
  "pmcid": null,
  "pmid": "42756998",
  "published": "2026-09-15",
  "publisher": "British Medical Journal",
  "ris": "https://research.draconitic.com/paper/70zd81c6d23tp.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:41Z",
      "native_id": "hal-05764087",
      "source": "hal",
      "url": "https://hal.science/hal-05764087v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "hal:0.sdv",
      "subfield": "general"
    },
    {
      "field": "medicine",
      "origin": "hal:1.sdv.aen",
      "subfield": "nutrition"
    }
  ],
  "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",
  "title_text": "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",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:41Z",
  "url": "https://research.draconitic.com/paper/70zd81c6d23tp",
  "venue": "BMJ Public Health",
  "versions": []
}