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

NOVA Nutri-Score food processing nutrient profiling system public health

Journal

Public health nutrition
ISSN: 1475-2727
Titre abrégé: Public Health Nutr
Pays: England
ID NLM: 9808463

Informations de publication

Date de publication:
01 Feb 2024
Historique:
medline: 1 2 2024
pubmed: 1 2 2024
entrez: 1 2 2024
Statut: aheadofprint

Résumé

To compare the initial and the updated versions of the front-pf-pack label Nutri-Score (related to the nutritional content) with the NOVA classification (related to the degree of food processing) at the food level. 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. The food offer in France. Not applicable. 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 penalized categories by the revision of Nutri-Score while low-sugar flavoured waters, fruit and legume preparations were the least affected. 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.

Identifiants

pubmed: 38297466
pii: S1368980024000296
doi: 10.1017/S1368980024000296
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-24

Auteurs

Barthélemy Sarda (B)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Emmanuelle Kesse-Guyot (E)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Valérie Deschamps (V)

Nutritional Epidemiology Surveillance Team (ESEN), Santé publique France, The French Public Health Agency, Bobigny, France.

Pauline Ducrot (P)

Santé publique France, French national public health agency, F-94415, Saint- Maurice, France.

Pilar Galan (P)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Serge Hercberg (S)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Public health Department, Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France.

Melanie Deschasaux-Tanguy (M)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Bernard Srour (B)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Leopold K Fezeu (LK)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Mathilde Touvier (M)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.

Chantal Julia (C)

Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Public health Department, Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France.

Classifications MeSH