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Complementarity between the updated version of the front-of-pack nutrition label Nutri-Score and the food-processing NOVA classification.
Sarda, Barthélemy; Kesse-Guyot, Emmanuelle; Deschamps, Valérie; Ducrot, Pauline; Galan, Pilar; Hercberg, Serge; Deschasaux-Tanguy, Melanie; Srour, Bernard; Fezeu, Leopold K; Touvier, Mathilde; Julia, Chantal.
Affiliation
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
  • Deschamps V; Nutritional Epidemiology Surveillance Team (ESEN), Santé publique France, The French Public Health Agency, Bobigny, France.
  • Ducrot P; Santé publique France, French National Public Health Agency, Saint- Maurice, France.
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
  • Deschasaux-Tanguy M; Public health Department, Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris (AP-HP), Bobigny, France.
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
  • 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), 74 rue Marcel Cachin, F-93017Bobigny, France.
Public Health Nutr ; 27(1): e63, 2024 Feb 01.
Article in En | MEDLINE | ID: mdl-38297466
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.
Subject(s)
Key words

Full text: 1 Database: MEDLINE Main subject: Sweetening Agents / Food Labeling Limits: Humans Language: En Journal: Public Health Nutr Journal subject: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Year: 2024 Type: Article Affiliation country: France

Full text: 1 Database: MEDLINE Main subject: Sweetening Agents / Food Labeling Limits: Humans Language: En Journal: Public Health Nutr Journal subject: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Year: 2024 Type: Article Affiliation country: France