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开发和验证加拿大食品评分系统(CFSS),这是一种基于 2019 年加拿大食品指南建议的营养素分析模型。

Development and validity testing of the Canadian Food Scoring System (CFSS), a nutrient profile model based on the recommendations of Canada's Food Guide 2019.

机构信息

Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, ON, Canada.

出版信息

Appl Physiol Nutr Metab. 2024 Oct 1;49(10):1363-1376. doi: 10.1139/apnm-2024-0034. Epub 2024 Jul 16.

DOI:10.1139/apnm-2024-0034
PMID:39013203
Abstract

Canada's food guide (CFG) 2019 provides dietary guidance for all Canadians; however, there is no tool available to help Canadians easily determine how individual foods align with CFG. Therefore, the objectives of this study were (1) to develop a nutrient profile model, Canadian Food Scoring System (CFSS), to rank the healthfulness of individual foods according to the recommendations of CFG; and (2) to assess its validity. The CFSS was developed based on CFG, leveraging existing Canadian labelling regulations to set quantitative criteria for the CFG recommendations. The CFSS included three main steps: (1) classifying foods into the nutritious food categories and assigning points based on the alignment with the recommendations of CFG; (2) deducting points based on the levels of saturated fat, sugars, and sodium using thresholds from Canadian front-of-pack labelling regulations; and (3) calculating the final score from the first two steps to classify foods into one of five categories: "very poor," "poor," "fair," "good," or "excellent" choice. Convergent validity was assessed by examining the alignment of the CFSS with Health Canada's CFG-Food Classification System using a national food composition database and the Healthy Eating Food Index-2019 using nationally representative dietary intake survey data. The CFSS showed strong correlation with the CFG-Food Classification System (ρ = 0.782,  < 0.001) and moderate correlation with the Healthy Eating Food Index-2019 ( = 0.636,  < 0.001), indicating good convergent validity both at the food and dietary level. The newly developed CFSS can assess the alignment of individual foods with CFG, which can be used to help Canadians more easily make healthy food choices.

摘要

加拿大食物指南(CFG)2019 为所有加拿大人提供了饮食指导;然而,目前没有可用的工具来帮助加拿大人轻松确定个别食物与 CFG 的一致性。因此,本研究的目的是:(1)开发一种营养素评分模型,即加拿大食物评分系统(CFSS),根据 CFG 的建议对个体食物的健康程度进行排名;(2)评估其有效性。CFSS 是基于 CFG 开发的,利用现有的加拿大标签法规为 CFG 建议设定定量标准。CFSS 包括三个主要步骤:(1)根据与 CFG 建议的一致性,将食物分为营养食品类别并分配分数;(2)根据加拿大标签法规中的阈值,扣除饱和脂肪、糖和钠水平的分数;(3)根据前两步计算出的最终分数,将食物分为五类之一:“非常差”、“差”、“一般”、“好”或“优”。通过使用全国性的食品成分数据库和全国代表性的膳食摄入调查数据,来评估 CFSS 与加拿大卫生部 CFG-食品分类系统的一致性,从而评估其收敛效度。CFSS 与 CFG-食品分类系统具有很强的相关性(ρ=0.782, < 0.001),与健康饮食食品指数-2019 中度相关(=0.636, < 0.001),这表明在食物和饮食层面均具有良好的收敛效度。新开发的 CFSS 可以评估个体食物与 CFG 的一致性,这有助于加拿大人更容易地做出健康的食物选择。

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