{"title":"Applying the Nova food classification to food product databases using discriminative ingredients: a methodological proposal","authors":"Mariana Fagundes Grilo, Beatriz Silva Nunes, Ana Clara Duran, Camila Zancheta Ricardo, Larissa Galastri Baraldi, Euridice Martinez Steele, Camila Aparecida Borges","doi":"10.1101/2024.04.12.24305721","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> Growing interest in the Nova food classification system surged among various stakeholders, driven primarily by compelling evidence linking the consumption of ultra-processed foods (UPF) to negative health outcomes. However, the conventional classification process often leaves room for uncertainty and operational challenges.","PeriodicalId":501073,"journal":{"name":"medRxiv - Nutrition","volume":"249 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Nutrition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.04.12.24305721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
Background Growing interest in the Nova food classification system surged among various stakeholders, driven primarily by compelling evidence linking the consumption of ultra-processed foods (UPF) to negative health outcomes. However, the conventional classification process often leaves room for uncertainty and operational challenges.
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