An Overlap Between "Ultraprocessed" Foods and the Preexisting Nutrient Rich Foods Index?

An Overlap Between "Ultraprocessed" Foods and the Preexisting Nutrient Rich Foods Index?
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DOI:
10.1097/nt.0000000000000400
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发表时间:
2020-03-01
期刊:
影响因子:
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通讯作者:
Darmon, Nicole
Darmon, Nicole
中科院分区:
其他
文献类型:
--
作者:
Drewnowski, Adam;Gupta, Shilpi;Darmon, Nicole

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NOVA食品分类方案中的“超加工”食品类别表面上是基于工业加工的。我们将NOVA分类分配与2005年首次开发的营养丰富食品(NRF)指数家族进行了比较。NRF n.3指数由两个分值组成;基于蛋白质、纤维、维生素和矿物质的正NRn,以及基于饱和脂肪、添加糖和钠的负LIM评分。被广泛使用的Fred Hutchinson癌症中心食物频率调查问卷的378种食物被分配到NOVA类别,并使用多个NRF指数进行评分。与发表的说法相反,NOVA主要是基于食物中饱和脂肪、添加糖和钠的含量。NOVA类别和NRF评分之间有很强的相似性,这在很大程度上是由食物的脂肪、糖和盐含量决定的。营养密度增加了NRF评分,但对NOVA类别的影响较小。因此,NOVA计划对一些营养丰富的食物进行了错误的分类。NOVA类别和NRF9.3评分都受到饱和脂肪、添加糖和钠含量的强烈影响。超加工食品和烹饪原料的NRFn值较低。3的分数。我们得出的结论是,任意的NOVA分类方案对已有的营养谱模型增加的很少。所谓的NOVA类别与健康结果之间的联系可以通过使用预先存在的NRFn来获得。3营养密度指标。
The category of "ultra-processed" foods in the NOVA food classification scheme is ostensibly based on industrial processing. We compared NOVA category assignments with the pre-existing family of Nutrient Rich Food (NRF) indices, first developed in 2005. NRF n.3 indices are composed of two subscores; the positive NRn based on protein, fiber, and n vitamins and minerals, and the negative LIM subscore based on saturated fat, added sugar, and sodium. The 378 foods that were components of the widely used Fred Hutchinson Cancer Center food frequency questionnaire were assigned to NOVA categories and scored using multiple NRF indices. Contrary to published claims, NOVA was largely based on the foods' content of saturated fat, added sugars, and sodium. There were strong similarities between NOVA categories and NRF scores that were largely driven by the foods' content of fat, sugar, and salt. Nutrient density increased NRF scores but had less impact on NOVA categories. As a result, the NOVA scheme misclassified some nutrient-rich foods. Both NOVA categories and NRF9.3 scores were strongly affected by the amounts of saturated fat, added sugars, and sodium. Ultra-processed foods and culinary ingredients received lower NRFn.3 scores. We conclude that the arbitrary NOVA classification scheme adds little to the pre-existing nutrient profiling models. The purported links between NOVA categories and health outcomes could have been obtained using pre-existing NRFn.3 nutrient density metrics.