ArticleFoods (Basel, Switzerland)2021
Evaluation of the Ability of Nutri-Score to Discriminate the Nutritional Quality of Prepacked Foods Using a Sale-Weighting Approach.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Ultra-Processed Foods in the Food Supply: Prevalence, Nutritional Composition and Use of Voluntary Labelling Schemes.Nutrients · 2025Article
- Evaluation of Nutri-Score and NewTools-score in a Norwegian setting using a reference standard based on nutrition experts' ranking of foods' healthiness.Food & nutrition research · 2025Article
- How does the updated Nutri-Score discriminate and classify the nutritional quality of foods in a Norwegian setting?The international journal of behavioral nutrition and physical activity · 2023Article
- A Little Bird Told Me… Nutri-Score Panoramas from a Flight over Europe, Connecting Science and Society.Nutrients · 2023Article
- Cross-Classification Analysis of Food Products Based on Nutritional Quality and Degree of Processing.Nutrients · 2023Article
- Does colour variety accurately quantify nutritional value in children's lunchboxes? A pilot study.Public health in practice (Oxford, England) · 2023Article
- Iodine values, peroxide values and acid values of Bohai algae oil compared with other oils during the cooking.Heliyon · 2023Article
- Comparison of Nutri-Score and Health Star Rating Nutrient Profiling Models Using Large Branded Foods Composition Database and Sales Data.International journal of environmental research and public health · 2023Article
- Nutritional Assessment of Ready-to-Eat Salads in German Supermarkets: Comparison of the nutriRECIPE-Index and the Nutri-Score.Foods (Basel, Switzerland) · 2022Article
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- Is it really a piece of cake to label Geographical Indications with the Nutri-Score? Consumers' behaviour and policy implications.PloS one · 2022Article
- Performance and discriminatory capacity of Nutri-Score in branded foods in Greece.Frontiers in nutrition · 2022Article
- Influence of nutrition claims on different models of front-of-package nutritional labeling in supposedly healthy foods: Impact on the understanding of nutritional information, healthfulness perception, and purchase intention of Brazilian consumers.Frontiers in nutrition · 2022Article
- Effects on Consumers' Subjective Understanding and Liking of Front-of-Pack Nutrition Labels: A Study on Slovenian and Dutch Consumers.Foods (Basel, Switzerland) · 2021Article
- Inadequate Intake of Dietary Fibre in Adolescents, Adults, and Elderlies: Results of Slovenian Representative SI. Menu Study.Nutrients · 2021Article
- Branded Foods Databases as a Tool to Support Nutrition Research and Monitoring of the Food Supply: Insights From the Slovenian Composition and Labeling Information System.Frontiers in nutrition · 2021Review
- Use of Branded Food Composition Databases for the Exploitation of Food Fortification Practices: A Case Study on Vitamin D in the Slovenian Food Supply.Frontiers in nutrition · 2021Article
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Authors and funding
2 authors.
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Abstract
The implementation of mandatory front-of-pack nutrition labelling is currently being discussed in the European Union (EU). The Nutri-Score (NS) was developed in France to empower consumers to make informed and healthier food choices. Based on strong evidence of its efficacy in supporting healthy choices, it has already been implemented for voluntary use in some EU member states, making it relevant to developing a harmonised EU scheme. This study aimed to evaluate the NS's discriminating ability on products available in the food supply and compare it with Slovenian national nutritional recommendations based on an adapted WHO Europe (WHOE) profile. The innovative approach of the study is that we used sale-weighting to address the public health importance of available foods, with consideration of market share. We profiled 15,822 products available in the Slovenian food supply in 2017. The NS had a high ability to discriminate food products based on nutritional composition. Products that are generally encouraged in dietary recommendations (fruits, vegetables, cereals) had, in most cases, better NS grades than less favourable products (confectionery, snack foods, added fats), which is also in line with the national nutrition policy programme. The discriminating ability of the model was also shown within food (sub)categories (e.g., plain and flavoured yoghurt). Sale-weighting showed that offerings do not always reflect sales. Major differences between offerings and sales were observed for beverages, dairy, fruits/vegetables, and edible oils/emulsions. Additionally, sale-weighted distribution tended towards less favourable nutritional composition, particularly in categories with overall smaller offerings of products with favourable composition. The NS showed moderate agreement with the WHOE profile (κ = 0.57); differences were particularly observed in flavoured yoghurts, juices, cooking oils, and cheeses. Modelling the operation of the NS with representative real-life food samples provided insight valuable for developing and implementing harmonised mandatory front-of-pack nutrition labelling in Europe.
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