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In biological systems, most metabolic pathways are interconnected. The cellular respiration processes that convert glucose to ATP—such as glycolysis, pyruvate oxidation, and the citric acid cycle—tie into those that break down other organic compounds. As a result, various foods—from apples to cheese to guacamole—end up as ATP. In addition to carbohydrates, food also contains proteins and lipids—such as cholesterol and fats. All of these organic compounds are used...
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Dietary assessment toolkits: an overview.

Maria Carlota Dao1, Amy F Subar2, Marisol Warthon-Medina3

  • 1Sorbonne University, INSERM, NutriOmics Team, ICAN, Paris, France.

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|November 16, 2018
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Summary

This review presents freely available toolkits for dietary assessment, aiding researchers in selecting the best methods for accurate nutrition data collection. It compares features to ensure high-quality dietary intake assessment.

Keywords:
Dietary assessmentDietary assessment methodDietary intakeToolkit

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Area of Science:

  • Nutrition Science
  • Dietary Assessment Methods

Background:

  • Accurate dietary intake assessment is crucial but challenging for researchers.
  • Various methods exist, each with unique strengths and limitations.

Purpose of the Study:

  • To provide a comprehensive overview of available dietary assessment toolkits.
  • To assist researchers in selecting appropriate methods for their studies.

Main Methods:

  • A collaborative effort by developers of dietary assessment toolkits.
  • Review and summarization of five key toolkits: DAPA, NCI Dietary Assessment Primer, Nutritools, ACAORN method selector, and DanoneDAT.
  • Creation of a feature comparison table for easy reference.

Main Results:

  • Provides background information on dietary assessment.
  • Summarizes each included toolkit with direct online access links.
  • Includes a comparative analysis of toolkit features.

Conclusions:

  • Offers comprehensive information to guide the selection of dietary assessment methods.
  • Aims to help users implement the most suitable methods for high-quality data collection.