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一种用于指导改善食品和饮料营养密度的渐进式营养成分分析系统。

A Progressive Nutrient Profiling System to Guide Improvements in Nutrient Density of Foods and Beverages.

作者信息

Greenberg Danielle, Drewnowski Adam, Black Richard, Weststrate Jan A, O'Shea Marianne

机构信息

PepsiCo, Inc., Research and Development, Purchase, NY, United States.

Center for Public Health Nutrition, University of Washington, Seattle, WA, United States.

出版信息

Front Nutr. 2021 Dec 23;8:774409. doi: 10.3389/fnut.2021.774409. eCollection 2021.

Abstract

Improving the nutrient density of processed foods is one way to bring the global food supply closer to the WHO Sustainable Development Goals. Nutrient profiling (NP) has emerged as the preferred method of monitoring the progress toward product innovation and reformulation. This paper presents PepsiCo Nutrition Criteria (PNC), a new internal NP model that was designed to guide and monitor improvements in nutrient density and overall nutritional quality of foods and beverages. The new PNC NP model assigns food products into four classes of increasing nutritional value, based on the content of nutrients to limit, along with nutrients and ingredients to encourage. The nutrient standards used for category assignment followed those developed by global dietary authorities. Standards are proposed for calories, sodium, added sugars, saturated, and industrially produced trans fats. Also included are minimum values for food groups to encourage, low-fat dairy, and for country-specific gap nutrients. Internal use of the NP model has spurred product changes that are consistent with WHO goals for industry transparency. An audited review of company products showed that 48% met added sugar, 65% met sodium, and 71% met saturated fat goals. By the end of 2020, in the top 26 regions in which products are sold, 48% of the total sales volume of global beverages had 100 kcal or less from added sugars per 355 ml serving representing 80% of beverage volume and over 90% of food volume sold globally. The PNC NP model is not consumer-facing but is specifically intended for internal use to motivate stepwise and incremental product innovation and reformulation. Transparent and published NP models further WHO goals of engaging industry stakeholders in the (re)formulation of processed foods and beverages consistent with public health goals.

摘要

提高加工食品的营养密度是使全球食品供应更接近世界卫生组织可持续发展目标的一种方式。营养成分剖析(NP)已成为监测产品创新和重新配方进展的首选方法。本文介绍了百事公司营养标准(PNC),这是一种新的内部NP模型,旨在指导和监测食品和饮料营养密度及整体营养质量的改善。新的PNC NP模型根据需限制的营养成分含量以及需鼓励的营养成分和配料,将食品分为四类,营养价值依次递增。用于类别划分的营养标准遵循全球饮食权威机构制定的标准。提出了卡路里、钠、添加糖、饱和脂肪和工业生产的反式脂肪的标准。还包括鼓励摄入的食物类别、低脂乳制品以及特定国家的缺口营养素的最低值。NP模型的内部使用促使产品发生了与世界卫生组织行业透明度目标一致的变化。对公司产品的审核显示,48%的产品符合添加糖目标,65%符合钠目标,71%符合饱和脂肪目标。到2020年底,在产品销售的前26个地区,全球饮料总销量的48%每355毫升份添加糖提供的热量为100千卡或更低,占饮料销量的80%,占全球食品销量的90%以上。PNC NP模型并非面向消费者,而是专门用于内部使用,以推动逐步和渐进的产品创新及重新配方。透明且公开的NP模型进一步推进了世界卫生组织让行业利益相关者参与加工食品和饮料(重新)配方制定以符合公共卫生目标的工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a82/8733001/a755e8252920/fnut-08-774409-g0001.jpg

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