Articles producció científicaBioquímica i Biotecnologia

The Nutritional Profile of Spanish Beverages: A Comparative Evaluation of the Original and Updated Nutri-Score Algorithm

  • Dades identificatives

    Identificador:  imarina:9453477
    Autors:  de las Heras-delgado, Sara; Shyam, Sangeetha; Iglesias-Vazquez, Lucia; Khoury, Nadine; Salas-Salvado, Jordi; Babio, Nancy
    Resum:
    Background: In response to criticism and limitations of the Nutri-Score Nutrient Profiling Model (NS-NPM), the algorithm was updated in 2023. However, its impact on beverage classification remains partially assessed. Objective: This study aimed to compare the nutritional profiles of beverages marketed in Spain using the original and updated NS-NPM algorithms. Methods: Nutritional data for 3432 beverages in the "Drink Base" database were analyzed using both the 2015 (original) and 2023 (updated) NS-NPM versions. Results: The 2023 update showed significant changes compared to the 2015 version. Updated scores particularly increased for artificially sweetened beverages (+190.3%), milkshakes (+98.9%), nut-based beverages (+343.9%), cereal-based beverages (+651.3%), and the mix of plant-based beverages (+733%), leading to a less healthy classification. Conversely, scores decreased for fruit juices (-12.7%) and alcohol-substitute beverages (-8.2%), while legume-based beverages maintained their classification with minimal score variation (-1.4%), raising questions about the treatment of free sugars. The remaining beverage categories experienced score changes that did not alter their classification. Conclusions: The 2023 NS-NPM algorithm improves beverage classification by refining the differentiation of sugar-sweetened and artificially sweetened beverages, improving consumer guidance. While it increases discrimination, challenges remain in the classification of plant-based beverages and fruit juices. These findings highlight Nutri-Score's impact on industry reformulation and its potential as a public health tool to promote healthier beverage choices. This study provides novel evidence on how the updated Nutri-Score algorithm may influence consumer perception and food policy in
  • Altres:

    Autor segons l'article: de las Heras-delgado, Sara; Shyam, Sangeetha; Iglesias-Vazquez, Lucia; Khoury, Nadine; Salas-Salvado, Jordi; Babio, Nancy
    Departament: Bioquímica i Biotecnologia
    Autor/s de la URV: Salas Salvadó, Jorge
    Paraules clau: Spain; Public health; Nutritive value; Nutritional labeling; Nutritional labelin; Nutrient profiling model; Nutri-score; Humans; Beverages; Beverage; Algorithms
    Resum: Background: In response to criticism and limitations of the Nutri-Score Nutrient Profiling Model (NS-NPM), the algorithm was updated in 2023. However, its impact on beverage classification remains partially assessed. Objective: This study aimed to compare the nutritional profiles of beverages marketed in Spain using the original and updated NS-NPM algorithms. Methods: Nutritional data for 3432 beverages in the "Drink Base" database were analyzed using both the 2015 (original) and 2023 (updated) NS-NPM versions. Results: The 2023 update showed significant changes compared to the 2015 version. Updated scores particularly increased for artificially sweetened beverages (+190.3%), milkshakes (+98.9%), nut-based beverages (+343.9%), cereal-based beverages (+651.3%), and the mix of plant-based beverages (+733%), leading to a less healthy classification. Conversely, scores decreased for fruit juices (-12.7%) and alcohol-substitute beverages (-8.2%), while legume-based beverages maintained their classification with minimal score variation (-1.4%), raising questions about the treatment of free sugars. The remaining beverage categories experienced score changes that did not alter their classification. Conclusions: The 2023 NS-NPM algorithm improves beverage classification by refining the differentiation of sugar-sweetened and artificially sweetened beverages, improving consumer guidance. While it increases discrimination, challenges remain in the classification of plant-based beverages and fruit juices. These findings highlight Nutri-Score's impact on industry reformulation and its potential as a public health tool to promote healthier beverage choices. This study provides novel evidence on how the updated Nutri-Score algorithm may influence consumer perception and food policy in the Spanish context.
    Àrees temàtiques: Zootecnia / recursos pesqueiros; Saúde coletiva; Química; Psicología; Planejamento urbano e regional / demografia; Nutrition and dietetics; Nutrition & dietetics; Nutrição; Medicina veterinaria; Medicina iii; Medicina ii; Medicina i; Interdisciplinar; Food science; Farmacia; Engenharias iv; Engenharias ii; Enfermagem; Educação física; Economia; Ciências biológicas iii; Ciências biológicas ii; Ciências biológicas i; Ciências agrárias i; Ciência de alimentos; Biotecnología
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: jordi.salas@urv.cat
    Data d'alta del registre: 2025-05-24
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://www.mdpi.com/2072-6643/17/9/1521
    Referència a l'article segons font original: Nutrients. 17 (9): 1521-
    Referència de l'ítem segons les normes APA: de las Heras-delgado, Sara; Shyam, Sangeetha; Iglesias-Vazquez, Lucia; Khoury, Nadine; Salas-Salvado, Jordi; Babio, Nancy (2025). The Nutritional Profile of Spanish Beverages: A Comparative Evaluation of the Original and Updated Nutri-Score Algorithm. Nutrients, 17(9), 1521-. DOI: 10.3390/nu17091521
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.3390/nu17091521
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2025
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Food Science,Nutrition & Dietetics,Nutrition and Dietetics
    Spain
    Public health
    Nutritive value
    Nutritional labeling
    Nutritional labelin
    Nutrient profiling model
    Nutri-score
    Humans
    Beverages
    Beverage
    Algorithms
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Planejamento urbano e regional / demografia
    Nutrition and dietetics
    Nutrition & dietetics
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Food science
    Farmacia
    Engenharias iv
    Engenharias ii
    Enfermagem
    Educação física
    Economia
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
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