ReviewFrontiers in nutrition2022
The Nutri-Score algorithm: Evaluation of its validation process.
Review in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of nutrient profile models for front-of-pack nutrition labelling.Nature food · 2026Pooled it
- Are All Ultra-Processed Foods Created Equal? Descriptive Analysis of Nutritional Composition, Nutritional Quality, Energy Density and Hyperpalatability in Relation to Non-Communicable Disease Risk.Foods (Basel, Switzerland) · 2026Article
- Observational
- Development of a Three-Component Nutrient Density Calculator (NDC) for Mixed Dishes to Guide Innovation and Reformulation of Recipes.Nutrients · 2026Article
- Nudging Toward Sustainable and Healthy Diets: A Randomized Trial of Young Adults.Current developments in nutrition · 2026Article
- Validation of the food compass score through 24 h recalls and measurement of erythrocyte fatty acids in a mediterranean population.European journal of nutrition · 2026Article
- Article
- Deep Learning-Based Body Composition Analysis for Cancer Patients Using Computed Tomographic Imaging.Journal of imaging informatics in medicine · 2025Article
- Do Food Packaging Health Claims Depict Healthiness or Mislead Patients?PRiMER (Leawood, Kan.) · 2025Article
- Nutrient Profiling Models in Low- and Middle-Income Countries Considering Local Nutritional Challenges: A Systematic Review.Current developments in nutrition · 2025Review
- Hidden hunger in Europe: a review on determinants, fragmented policy responses, and implementation barriers.Frontiers in nutrition · 2025Review
- Assessing the Validity of Front-of-Pack Nutrition Labels for Evaluating the Healthiness of Mediterranean Food Choices: A Global Comparison.Nutrients · 2024Article
- Review of Diet Quality Indices that can be Applied to the Environmental Assessment of Foods and Diets.Current nutrition reports · 2024Review
- Insights and Perspectives on Plant-Based Beverages.Plants (Basel, Switzerland) · 2023Review
- A study is 21 times more likely to find unfavourable results about the nutrition label Nutri-Score if the authors declare a conflict of interest or the study is funded by the food industry.BMJ global health · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Nutri-Score front-of-pack label, which classifies the nutritional quality of products in one of 5 classes (A to E), is one of the main candidates for standardized front-of-pack labeling in the EU. The algorithm underpinning the Nutri-Score label is derived from the Food Standard Agency (FSA) nutrient profile model, originally a binary model developed to regulate the marketing of foods to children in the UK. This review describes the development and validation process of the Nutri-Score algorithm. While the Nutri-Score label is one of the most studied front-of-pack labels in the EU, its validity and applicability in the European context is still undetermined. For several European countries, content validity (i.e., ability to rank foods according to healthfulness) has been evaluated. Studies showed Nutri-Score's ability to classify foods across the board of the total food supply, but did not show the actual healthfulness of products within different classes. Convergent validity (i.e., ability to categorize products in a similar way as other systems such as dietary guidelines) was assessed with the French dietary guidelines; further adaptations of the Nutri-Score algorithm seem needed to ensure alignment with food-based dietary guidelines across the EU. Predictive validity (i.e., ability to predict disease risk when applied to population dietary data) could be re-assessed after adaptations are made to the algorithm. Currently, seven countries have implemented or aim to implement Nutri-Score. These countries appointed an international scientific committee to evaluate Nutri-Score, its underlying algorithm and its applicability in a European context. With this review, we hope to contribute to the scientific and political discussions with respect to nutrition labeling in the EU.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.