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西班牙饮料的营养概况:原始与更新版营养评分算法的比较评估

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

作者信息

de Las Heras-Delgado Sara, Shyam Sangeetha, Iglesias-Vázquez Lucía, Khoury Nadine, Salas-Salvadó Jordi, Babio Nancy

机构信息

Universitat Rovira i Virgili, Departamentde Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Grup ANUT-DSM, 43201 Reus, Spain.

Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain.

出版信息

Nutrients. 2025 Apr 30;17(9):1521. doi: 10.3390/nu17091521.

DOI:10.3390/nu17091521
PMID:40362830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12073336/
Abstract

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

摘要

针对营养评分营养成分模型(NS-NPM)的批评和局限性,该算法于2023年进行了更新。然而,其对饮料分类的影响仍有待部分评估。本研究旨在使用原始版和更新版的NS-NPM算法比较西班牙市场上销售的饮料的营养成分。使用2015年(原始版)和2023年(更新版)的NS-NPM版本对“饮料库”数据库中3432种饮料的营养数据进行了分析。2023年的更新版本与2015年版本相比有显著变化。人工甜味饮料(+190.3%)、奶昔(+98.9%)、坚果类饮料(+343.9%)、谷物类饮料(+651.3%)和植物性混合饮料(+733%)的更新评分尤其增加,导致健康分类降低。相反,果汁(-12.7%)和酒精替代饮料(-8.2%)的评分下降,而豆类饮料的分类保持不变,评分变化最小(-1.4%),这引发了关于游离糖处理的问题。其余饮料类别经历的评分变化并未改变其分类。2023年的NS-NPM算法通过细化含糖饮料和人工甜味饮料的区分改进了饮料分类,改善了对消费者的指导。虽然它增加了区分度,但植物性饮料和果汁的分类仍存在挑战。这些发现凸显了营养评分对行业配方调整的影响及其作为促进更健康饮料选择的公共卫生工具的潜力。本研究提供了新的证据,证明更新后的营养评分算法在西班牙背景下可能如何影响消费者认知和食品政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/12073336/317574b8addf/nutrients-17-01521-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/12073336/300e4d00cd7f/nutrients-17-01521-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/12073336/f5ab1678301b/nutrients-17-01521-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/12073336/317574b8addf/nutrients-17-01521-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/12073336/300e4d00cd7f/nutrients-17-01521-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/12073336/f5ab1678301b/nutrients-17-01521-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4ef/12073336/317574b8addf/nutrients-17-01521-g003.jpg

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Nutri-Score of Meat, Fish, and Dairy Alternatives: A Comparison between the Old and New Algorithm.肉类、鱼类和奶制品替代品的 Nutri-Score:新旧算法比较。
Nutrients. 2024 Mar 19;16(6):892. doi: 10.3390/nu16060892.
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Nutri-Score 2023 update.2023 年营养评分更新。
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Consistency of the Initial and Updated Version of the Nutri-Score with Food-Based Dietary Guidelines: A French Perspective.营养评分初始版与更新版与基于食物的膳食指南的一致性:法国视角
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Public Health Nutr. 2024 Feb 1;27(1):e63. doi: 10.1017/S1368980024000296.
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