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

<b>Background</b>: 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. <b>Objective</b>: This study aimed to compare the nutritional profiles of beverages marketed in Spain using the original and updated NS-NPM algorithms. <b>Methods</b>: Nutritional data for 3432 beverages in the "Drink Base" database were analyzed using both the 2015 (original) and 2023 (updated) NS-NPM versions. <b>Results</b>: 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. <b>Conclusions</b>: 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.

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Publication Details

Journal
Nutrients
Published
2025-04-30
DOI
https://doi.org/10.3390/nu17091521
Citations
1
Primary Topic
Consumer Attitudes and Food Labeling
Type
article
Field-Weighted Citation Impact
1.88

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article

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

Jordi Salas‐Salvadó, Sangeetha Shyam, Nadine Khoury, Sara De las Heras-Delgado et al.
1 citations
Nutrients
Consumer Attitudes and Food Labeling
1.88
article

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

Jordi Salas‐Salvadó, Sangeetha Shyam, Nadine Khoury, Sara De las Heras-Delgado, Lucía Iglesias‐Vázquez, Nancy Babió
article en
1 citations

Abstract

<b>Background</b>: 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. <b>Objective</b>: This study aimed to compare the nutritional profiles of beverages marketed in Spain using the original and updated NS-NPM algorithms. <b>Methods</b>: Nutritional data for 3432 beverages in the "Drink Base" database were analyzed using both the 2015 (original) and 2023 (updated) NS-NPM versions. <b>Results</b>: 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. <b>Conclusions</b>: 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.

NutrientsVol. 17(9)
Instituto de Salud Carlos III (ES), Institut de Recerca Biomèdica Catalunya Sud (ES), Centro de Investigación Biomédica en Red (ES), Universitat Rovira i Virgili (ES)
Institució Catalana de Recerca i Estudis Avançats, Universitat Rovira i Virgili
Openalex Percentile: Top 16%
Consumer Attitudes and Food Labeling
1.88
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