Evidence map›Paper›PMID 37637755›Full record

ArticleJournal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems2023

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 Schmitz

Abstract read
In one paragraph

Article in Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Julia M Lorenzana PeasleyUniversity of Minnesota School of Public Health.
Lisa J HarnackUniversity of Minnesota School of Public Health.
Andrea S Anaterat time of research: RTI International; at time of writing: CDC.
Tássia Do Vale Cardoso LopesUniversity of Sao Paulo, Brazil.
Junia N de BritoUniversity of Minnesota Medical School.
Kristine SchmitzUniversity of Minnesota School of Public Health.

Funding

Univ of Minnesota Buidling Interdisciplinary Research Careers in Women's HealthK12HD055887 · NICHD · UNIVERSITY OF MINNESOTA · PI ALLEN, SHARON S, BERGE, JERICA M · 2007 to 2023
$8.6M
NICHD NIH HHS K12 HD055887
6 · The paper itself

Abstract

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.

Indexed as

Brazildietary assessmentfood composition databasesinternational databasesNDSRnutrient databases

Identifiers

PMID37637755
PMCPMC10448706

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.