Ability of a dietary index based on the updated algorithm underpinning the Nutri-Score to discriminate food consumption and nutrient intake in a French population of children and adolescents

Identifier:  imarina:9392484

Handle: https://hdl.handle.net/20.500.11797/imarina9392484

Authors:  Khoury, Nadine; Sarda, Barthelemy; Touvier, Mathilde; Kesse-Guyot, Emmanuelle; Salas-Salvado, Jordi; Babio, Nancy; Martinez, Maria Angeles; Hercberg, Serge; Galan, Pilar; Ducrot, Pauline; Deschamps, Valerie; Julia, Chantal

Abstract:
Introduction: Preventing chronic diseases among children and adolescents requires a comprehensive approach. The Nutri-Score, a front-of-pack nutrition labeling system, may play an important role in public health by enhancing overall nutritional quality of dietary intake, a key modifiable risk factor. The aim of this study was to investigate the ability of the 2015 and 2023 NS-NPM to discriminate food consumption and nutrient intake in a population of French children and adolescents. Methods: Children and adolescents (6-17 years old) participating in the cross-sectional representative ESTEBAN survey conducted in mainland France were included. Food consumption was assessed with three repeated 24 h dietary recalls. To obtain a dietary score at the individual level, the Nutri-Score nutrient profiling model dietary index (NS-NPM DI) was computed as an energy-weighted mean using the 2015 and the 2023 NS-NPMs and categorized into quartiles. Linear contrasts were used to assess the linearity of the association between the indexes and the intakes. Results: 1279 participants (50.2 % boys and 49.8 % girls, mean age 11 years) were included in this study. Using the 2023 NS-NPM DI, participants with more favorable DI (lower NS-NPM DI) consumed higher amounts of fruits, vegetables, whole grain cereals, milk, poultry, fish and seafood and vegetable oils and lower amounts of, processed meat and sweetened foods. In addition, using the NS-NPM DI 2023, participants with more favorable DI (thus more favorable Nutri-Score) had higher intakes of proteins, fiber, vitamins and minerals, and lower intakes of lipids, SFA, MUFA and simple sugars. Compared to the NS-NPM DI 2015, with the updated algorithm, higher differences between quartiles were observed for tubers, fish and seafood, poultry, red meat, processed meat, vegetable oils and vitamin D and E, all in the expected direction (better discrimination). Conclusion: The results of the present study suggest that the NS-NPM algorithm underlying Nutri-Score is a useful tool for characterizing the diet quality of children and adolescents. The updated version of this algorithm showed a more discriminatory ability when assessing some animal food groups and vitamin D and E, indicating that the revision of the Nutri-Score represents an improvement for public health purposes.