ORIGINAL RESEARCH article

Front. Nutr.

Sec. Nutrition Methodology

Volume 12 - 2025 | doi: 10.3389/fnut.2025.1568089

This article is part of the Research TopicDatabases and Nutrition, volume IIIView all 9 articles

Assessing Nutritional Composition and Ingredients of Packaged Foods in Brazil: An In-store Census Method for Creating a Comprehensive Food Label Database

Provisionally accepted
Mariana Vieira dos Santos KraemerMariana Vieira dos Santos Kraemer1*Ana Carolina FernandesAna Carolina Fernandes1Maria Cecília Cury ChaddadMaria Cecília Cury Chaddad2Tailane ScapinTailane Scapin3Beatriz Vasconcellos de BarrosBeatriz Vasconcellos de Barros1Elisa MilanoElisa Milano1Marina PadovanMarina Padovan1Paula Lazzarin UggioniPaula Lazzarin Uggioni1Greyce Luci BernardoGreyce Luci Bernardo1Neha KhandpurNeha Khandpur4Gaston AresGaston Ares5Rossana Pacheco Da Costa ProençaRossana Pacheco Da Costa Proença1
  • 1Federal University of Santa Catarina, Florianopolis, Brazil
  • 2Movimento Põe no Rótulo, São Paulo, São Paulo, Brazil
  • 3Faculty of Health, Deakin Univeristy, Burwood, Victoria, Australia
  • 4Wageningen University and Research, Wageningen, Netherlands
  • 5Universidad de la República, Montevideo, Uruguay

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The consumption of packaged processed and ultra-processed packaged foods has surged worldwide with important health implications. It is pertinent to study the composition of packaged foods through information provided on labels, given the role of labeling in public health. However, there is limited methodological discussion in the field. This study aimed at discussing methodological evolution and challenges of in-store census methods for assessing the composition of packaged foods, and describing and characterizing a Brazilianthe Nutrition in Foodservice Research Centre (NUPPRE)/FoodSwitch Brazil 2020 food label database. Methods: The first Brazilian food label database reported in the scientific literature, based on data of in-store census method, was created in 2010 by the Nutrition in Foodservice Research Centre (NUPPRE) at the Federal University of Santa Catarina. The in-store census method involves collecting primary data directly from the labels of packaged foods available for sale through retail food outlets. In 2020, the in-store census method was carried out in partnership with the FoodSwitch Program. The NUPPRE/FoodSwitch Brazil 2020 database was developed in four stepsphases: predata collection, data collection, data tabulation, and database construction and processing. The

Keywords: Nutrition labeling1, ingredient list2, nutrition information3, ultra-processed foods4, methods5, supermarkets6

Received: 28 Jan 2025; Accepted: 02 Jun 2025.

Copyright: © 2025 Kraemer, Fernandes, Chaddad, Scapin, Barros, Milano, Padovan, Uggioni, Bernardo, Khandpur, Ares and Proença. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mariana Vieira dos Santos Kraemer, Federal University of Santa Catarina, Florianopolis, Brazil

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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