Adapting a US dietary analysis software and nutrient database for use in Brazil

Julia M Lorenzana Peasley, Lisa J. Harnack, Andrea S. Anater, Tássia Do Vale Cardoso Lopes, Junia N de Brito, Kristine L Schmitz

Research output: Contribution to journalArticlepeer-review


In many countries, assessing food and nutrient intake for research and surveillance purposes is difficult due to the lack of comprehensive, country-specific food and nutrient databases and/or a dietary analysis software program. In this case study, we describe the approach used to adapt a United States (US) dietary analysis software and nutrient database (Nutrition Data System for Research [NDSR]) for use in analyzing 24-hour dietary recalls collected for the Brazil Kids Nutrition and Health Study (KNHS). A team of experts that included individuals knowledgeable about Brazil and US eating traditions was assembled to devise solutions for between-country differences in eating habits, food supply, food nomenclature, and language. Solutions devised relied on several key resources, including the Brazilian Food Composition Table (TBCA) and a list of 200 foods commonly consumed in Brazil. These solutions included creating data entry rules that specified how each reported food should be entered into NDSR, creation of User Recipes for foods lacking a close nutritionally matching food in the NDSR database, and adjustment for food fortification differences as part of the analysis of study data. This case study illustrates that NDSR can be adapted for use outside of the United States through a structured process.

Original languageEnglish (US)
Article number105364
JournalJournal of Food Composition and Analysis
StatePublished - Aug 2023

Bibliographical note

Funding Information:
This work was supported by RTI (Research Triangle Institute) through a contract with Societé des Produits Nestlé, Nestlé Research, Lausanne, Switzerland. JN de Brito research time was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number K12HD055887 .

Publisher Copyright:
© 2023 Elsevier Inc.


  • Brazil
  • Dietary assessment
  • Food composition databases
  • International databases
  • NDSR
  • Nutrient databases

PubMed: MeSH publication types

  • Journal Article


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