Articles producció científica> Bioquímica 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

  • Dades identificatives

    Identificador: imarina:9392484
    Autors:
    Khoury, NadineSarda, BarthelemyTouvier, MathildeKesse-Guyot, EmmanuelleSalas-Salvado, JordiBabio, NancyMartinez, Maria AngelesHercberg, SergeGalan, PilarDucrot, PaulineDeschamps, ValerieJulia, Chantal
    Resum:
    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
  • Altres:

    Autor segons l'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
    Departament: Bioquímica i Biotecnologia
    Autor/s de la URV: Babio Sánchez, Nancy Elvira / Martínez Rodríguez, María Ángeles / Salas Salvadó, Jorge
    Paraules clau: Adolescent Adolescents Algorithms Child Children Cross-sectional studies Diet Diet surveys Eating Energy intake Energy-intake Esteban stud Esteban study Feeding behavior Female France Humans Labe Male Ns-npm di Nutri-score Nutritive value Prevention Profiling system Validation
    Resum: 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.
    Àrees temàtiques: Administração pública e de empresas, ciências contábeis e turismo Astronomia / física Biodiversidade Biotecnología Ciência da computação Ciência de alimentos Ciências agrárias i Ciências ambientais Ciências biológicas i Ciências biológicas ii Ciências biológicas iii Educação Engenharias i Engenharias ii Engenharias iii Engenharias iv Ensino Farmacia Food science Food science & technology Interdisciplinar Matemática / probabilidade e estatística Materiais Medicina i Medicina ii Medicina veterinaria Nutrição Odontología Química Saúde coletiva Zootecnia / recursos pesqueiros
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: nancy.babio@urv.cat jordi.salas@urv.cat mangeles.martinez@urv.cat
    Identificador de l'autor: 0000-0003-3527-5277 0000-0003-2700-7459 0000-0001-8595-3772
    Data d'alta del registre: 2024-12-28
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Referència a l'article segons font original: Food Research International. 198 115287-
    Referència de l'ítem segons les normes 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
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2024
    Tipus de publicació: Journal Publications
  • Paraules clau:

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