Complementarity between the updated version of the front-of-pack nutrition label Nutri-Score and the food-processing NOVA classification

Abstract Objective: To compare the initial and the updated versions of the front-of-pack label Nutri-Score (related to the nutritional content) with the NOVA classification (related to the degree of food processing) at the food level. Design: Using the OpenFoodFacts database - 129,950 food products...

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Main Authors: Barthélemy Sarda (Author), Emmanuelle Kesse-Guyot (Author), Valérie Deschamps (Author), Pauline Ducrot (Author), Pilar Galan (Author), Serge Hercberg (Author), Melanie Deschasaux-Tanguy (Author), Bernard Srour (Author), Leopold K Fezeu (Author), Mathilde Touvier (Author), Chantal Julia (Author)
Format: Book
Published: Cambridge University Press, 2024-01-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Barthélemy Sarda  |e author 
700 1 0 |a Emmanuelle Kesse-Guyot  |e author 
700 1 0 |a Valérie Deschamps  |e author 
700 1 0 |a Pauline Ducrot  |e author 
700 1 0 |a Pilar Galan  |e author 
700 1 0 |a Serge Hercberg  |e author 
700 1 0 |a Melanie Deschasaux-Tanguy  |e author 
700 1 0 |a Bernard Srour  |e author 
700 1 0 |a Leopold K Fezeu  |e author 
700 1 0 |a Mathilde Touvier  |e author 
700 1 0 |a Chantal Julia  |e author 
245 0 0 |a Complementarity between the updated version of the front-of-pack nutrition label Nutri-Score and the food-processing NOVA classification 
260 |b Cambridge University Press,   |c 2024-01-01T00:00:00Z. 
500 |a 10.1017/S1368980024000296 
500 |a 1368-9800 
500 |a 1475-2727 
520 |a Abstract Objective: To compare the initial and the updated versions of the front-of-pack label Nutri-Score (related to the nutritional content) with the NOVA classification (related to the degree of food processing) at the food level. Design: Using the OpenFoodFacts database - 129,950 food products - we assessed the complementarity between the Nutri-Score (initial and updated) with the NOVA classification through a correspondence analysis. Contingency tables between the two classification systems were used. Settings: The food offer in France. Participants: Not applicable. Results: With both versions (i.e. initial and updated) of the Nutri-Score, the majority of ultra-processed products received medium to poor Nutri-Score ratings (between 77·9 % and 87·5 % of ultra-processed products depending on the version of the algorithm). Overall, the update of the Nutri-Score algorithm led to a reduction in the number of products rated A and B and an increase in the number of products rated D or E for all NOVA categories, with unprocessed foods being the least impacted (-3·8 percentage points (-5·2 %) rated A or B and +1·3 percentage points (+12·9 %) rated D or E) and ultra-processed foods the most impacted (-9·8 percentage points (-43·4 %) rated A or B and +7·8 percentage points (+14·1 %) rated D or E). Among ultra-processed foods rated favourably with the initial Nutri-Score, artificially sweetened beverages, sweetened plant-based drinks and bread products were the most penalised categories by the revision of Nutri-Score while low-sugar flavoured waters, fruit and legume preparations were the least affected. Conclusion: These results indicate that the update of the Nutri-Score reinforces its coherence with the NOVA classification, even though both systems measure two distinct health dimensions at the food level. 
546 |a EN 
690 |a Nutri-Score 
690 |a Nutrient profiling system 
690 |a NOVA 
690 |a Food processing 
690 |a Public health 
690 |a Public aspects of medicine 
690 |a RA1-1270 
690 |a Nutritional diseases. Deficiency diseases 
690 |a RC620-627 
655 7 |a article  |2 local 
786 0 |n Public Health Nutrition, Vol 27 (2024) 
787 0 |n https://www.cambridge.org/core/product/identifier/S1368980024000296/type/journal_article 
787 0 |n https://doaj.org/toc/1368-9800 
787 0 |n https://doaj.org/toc/1475-2727 
856 4 1 |u https://doaj.org/article/abef5158f28e4e03be1eb4904dea34a8  |z Connect to this object online.