The Nutritional Profile of Spanish Beverages: A Comparative Evaluation of the Original and Updated Nutri-Score Algorithm.
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 market...
| Publicado en: | Nutrients Vol. 17; no. 9; pp. 1521 - 1538 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
MDPI
May2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185133122&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185133122 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20726643 B0TT jtl: Nutrients issn: 20726643 maglogo: N pubinfo: dt: May2025 vid: 17 iid: 9 pid: 97109 pub: MDPI artinfo: ui: 185133122 185133122 185133122 10.3390/nu17091521 185133122 ppf: 1521 ppct: 17 formats: tig: atl: The Nutritional Profile of Spanish Beverages: A Comparative Evaluation of the Original and Updated Nutri-Score Algorithm. aug: au: de las Heras-Delgado, Sara Shyam, Sangeetha Iglesias-Vázquez, Lucía Khoury, Nadine Salas-Salvadó, Jordi Babio, Nancy affil: Universitat Rovira i Virgili, Departamentde Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Grup ANUT-DSM, 43201 Reus, Spain sug: subj: Beverages Analysis Nutritive Value Analysis Algorithms Human Spain Data Analysis Software Fruit Juices Analysis Sweetened Beverages Analysis Public Health Food Labeling Methods ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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