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食品添加剂和泛美卫生组织的营养成分模型作为识别超加工食品产品的要素。

Food additives and PAHO's nutrient profile model as contributors' elements to the identification of ultra-processed food products.

机构信息

Institute of Nutrition, Rio de Janeiro State University (UERJ), Rio de Janeiro, Brazil.

Center for Epidemiological Research in Nutrition and Health (Nupens), University of São Paulo (USP), São Paulo, Brazil.

出版信息

Sci Rep. 2023 Aug 30;13(1):13698. doi: 10.1038/s41598-023-40650-3.

Abstract

The NOVA classification system categorizes foods according to the extent and purpose of industrial processing. Ultra-processed food products (UPF) are frequently composed of excessive amounts of sugars, salt, oils, and fats, and cosmetic additives designed to make them palatable and/or appealing. We aimed to describe the presence of critical nutrients in excess and cosmetic additives in packaged foods and beverages and to evaluate the proportion of UPF that can be correctly identified through the presence of critical nutrients in excess or the presence of cosmetic additives in food products. A total of 9851 items available in Brazilian supermarkets containing lists of ingredients and nutrition facts panels were analyzed. Cosmetic additives and critical nutrients in excess, according to Pan American Health Organization (PAHO)'s nutrient profile model, were assessed. All food items were categorized into the four NOVA classification groups. Relative frequencies of items with at least one critical nutrient in excess and one type of cosmetic additive were estimated. For UPF, 82.1% had some cosmetic additive, and 98.8% had some cosmetic additive or a nutrient in excess. This combined criterion allowed the identification of 100.0% of sweet cookies, salted biscuits, margarine, cakes and sweet pies, chocolate, dairy beverages, and ice cream. Combining the presence of cosmetic additives and the PAHO's nutrient profile model contributes to the identification of UPF.

摘要

NOVA 分类系统根据工业加工的程度和目的对食品进行分类。超加工食品(UPF)通常含有过多的糖、盐、油和脂肪,以及旨在使它们美味可口和/或吸引人的化妆品添加剂。我们旨在描述包装食品和饮料中过量存在的关键营养素和化妆品添加剂,并评估可以通过存在过量的关键营养素或食品中存在化妆品添加剂来正确识别 UPF 的比例。分析了巴西超市中可提供成分清单和营养成分表的 9851 种食品。根据泛美卫生组织(PAHO)的营养成分模型评估了化妆品添加剂和过量的关键营养素。所有食品均被归类为 NOVA 分类系统的四个组别。估计了至少含有一种过量关键营养素和一种类型化妆品添加剂的食品的相对频率。对于 UPF,82.1% 含有某种化妆品添加剂,98.8% 含有某种化妆品添加剂或过量的某种营养素。这种组合标准可以识别 100.0%的甜饼干、咸饼干、人造黄油、蛋糕和甜馅饼、巧克力、乳制饮料和冰淇淋。结合化妆品添加剂的存在和 PAHO 的营养成分模型有助于识别 UPF。

相似文献

本文引用的文献

1
Information on food additives on food labels in Brazil: a critical analysis.巴西食品标签上食品添加剂信息:批判性分析。
Rev Saude Publica. 2023 Feb 20;57:2. doi: 10.11606/s1518-8787.2023057004371. eCollection 2023.
8
Ultra-processed foods: how functional is the NOVA system?超加工食品:NOVA 系统有多实用?
Eur J Clin Nutr. 2022 Sep;76(9):1245-1253. doi: 10.1038/s41430-022-01099-1. Epub 2022 Mar 21.

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