{"title":"“超加工”食品和先前存在的营养丰富食品指数之间的重叠?","authors":"Adam Drewnowski, Shilpi Gupta, Nicole Darmon","doi":"10.1097/nt.0000000000000400","DOIUrl":null,"url":null,"abstract":"<p><p>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 <sub>n.3</sub> 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 NRF<sub>9.3</sub> scores were strongly affected by the amounts of saturated fat, added sugars, and sodium. Ultra-processed foods and culinary ingredients received lower NRF<sub>n.3</sub> 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 NRF<sub>n.3</sub> nutrient density metrics.</p>","PeriodicalId":71220,"journal":{"name":"现代会计与审计:英文版","volume":"13 1","pages":"75-81"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/nt.0000000000000400","citationCount":"26","resultStr":"{\"title\":\"An Overlap Between \\\"Ultraprocessed\\\" Foods and the Preexisting Nutrient Rich Foods Index?\",\"authors\":\"Adam Drewnowski, Shilpi Gupta, Nicole Darmon\",\"doi\":\"10.1097/nt.0000000000000400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 <sub>n.3</sub> 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 NRF<sub>9.3</sub> scores were strongly affected by the amounts of saturated fat, added sugars, and sodium. Ultra-processed foods and culinary ingredients received lower NRF<sub>n.3</sub> 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 NRF<sub>n.3</sub> nutrient density metrics.</p>\",\"PeriodicalId\":71220,\"journal\":{\"name\":\"现代会计与审计:英文版\",\"volume\":\"13 1\",\"pages\":\"75-81\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1097/nt.0000000000000400\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"现代会计与审计:英文版\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/nt.0000000000000400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"现代会计与审计:英文版","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/nt.0000000000000400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Overlap Between "Ultraprocessed" Foods and the Preexisting Nutrient Rich Foods Index?
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.