Applying the Nova food classification to food product databases using discriminative ingredients: a methodological proposal

Mariana Fagundes Grilo, Beatriz Silva Nunes, Ana Clara Duran, Camila Zancheta Ricardo, Larissa Galastri Baraldi, Euridice Martinez Steele, Camila Aparecida Borges
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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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将新星食品分类应用于使用鉴别成分的食品数据库:方法建议
背景 各利益相关方对新星食品分类系统的兴趣与日俱增,主要原因是有确凿证据表明,食用超加工食品(UPF)与不良健康后果有关。然而,传统的分类过程往往存在不确定性和操作上的挑战。
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