加拿大食品评分系统(CFSS)的开发和有效性测试,该系统是基于《2019 年加拿大食品指南》建议的营养档案模型。

Jennifer J Lee, Christine Mulligan, Mary L'Abbé
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摘要

2019 年加拿大食品指南(CFG)为所有加拿大人提供了膳食指导;然而,目前还没有任何工具可以帮助加拿大人轻松确定各种食品如何与 CFG 保持一致。因此,本研究的目标是:(1) 开发一个营养素档案模型,即加拿大食品评分系统(Canadian Food Scoring System,CFSS),以根据《加拿大食品指南》的建议对各种食品的健康程度进行排名;(2) 评估其有效性。加拿大食品评分系统以《加拿大食品指南》为基础,利用加拿大现有的标签法规,为《加拿大食品指南》的建议设定量化标准。CFSS 包括三个主要步骤:(1)将食品分为基于 CFG 的食品类别,并根据与建议的吻合程度赋分;(2)根据饱和脂肪、糖和钠的含量,利用加拿大包装前标签法规的阈值扣分;(3)计算前两个步骤的最终得分,将食品分为五个类别之一:"极差"、"差"、"一般"、"好 "或 "优"。通过使用全国食品成分数据库检查 CFSS 与加拿大卫生部 CFG 食品分类系统的一致性,以及使用具有全国代表性的膳食摄入调查数据检查健康饮食食品指数-2019 的一致性,评估了两者的统合有效性。CFSS与CFG-食品分类系统显示出很强的相关性(ρ=0.782,p
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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.

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, p < 0.001) and moderate correlation with the Healthy Eating Food Index-2019 (r = 0.636, p < 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.

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