Articles producció científicaBioquímica i Biotecnologia

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

  • Identification data

    Identifier:  imarina:9392484
    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.
  • Others:

    Link to the original source: https://www.sciencedirect.com/science/article/pii/S0963996924013577
    APA: Khoury, Nadine; Sarda, Barthelemy; Touvier, Mathilde; Kesse-Guyot, Emmanuelle; Salas-Salvado, Jordi; Babio, Nancy; Martinez, Maria Angeles; Hercberg, (2024). 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. Food Research International, 198(), 115287-. DOI: 10.1016/j.foodres.2024.115287
    Paper original source: Food Research International. 198 115287-
    Article's DOI: 10.1016/j.foodres.2024.115287
    Journal publication year: 2024-12-01
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2026-03-02
    URV's Author/s: Alkhoury, Nadine / Babio Sánchez, Nancy Elvira / Martínez Rodríguez, María Ángeles / Salas Salvadó, Jorge
    Department: Bioquímica i Biotecnologia
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: 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
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Zootecnia / recursos pesqueiros, Saúde coletiva, Química, Odontología, Nutrição, Medicina veterinaria, Medicina ii, Medicina i, Materiais, Matemática / probabilidade e estatística, Interdisciplinar, Food science & technology, Food science, Farmacia, Ensino, Engenharias iv, Engenharias iii, Engenharias ii, Engenharias i, Educação, Ciências biológicas iii, Ciências biológicas ii, Ciências biológicas i, Ciências ambientais, Ciências agrárias i, Ciência de alimentos, Ciência da computação, Biotecnología, Biodiversidade, Astronomia / física, Administração pública e de empresas, ciências contábeis e turismo
    Author's mail: mangeles.martinez@urv.cat, nadine.alkhoury@estudiants.urv.cat, nadine.alkhoury@estudiants.urv.cat, nadine.alkhoury@estudiants.urv.cat, nadine.alkhoury@estudiants.urv.cat, jordi.salas@urv.cat, nancy.babio@urv.cat
  • Keywords:

    Validation
    Profiling system
    Prevention
    Nutritive value
    Nutri-score
    Ns-npm di
    Male
    Labe
    Humans
    France
    Female
    Feeding behavior
    Esteban study
    Esteban stud
    Energy-intake
    Energy intake
    Eating
    Diet surveys
    Diet
    Cross-sectional studies
    Children
    Child
    Algorithms
    Adolescents
    Adolescent
    Food Science
    Food Science & Technology
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Odontología
    Nutrição
    Medicina veterinaria
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Farmacia
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Educação
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
    Administração pública e de empresas
    ciências contábeis e turismo
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