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Food composition database development for between country comparisons.

Anwar T Merchant1, Mahshid Dehghan

  • 1Population Health Research Institute, McMaster University, Hamilton ON, Canada. anwar.merchant@post.harvard.edu

Nutrition Journal
|January 21, 2006
PubMed
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Creating a standardized multi-country food composition database improves nutrient estimation accuracy. This ensures reliable international dietary comparisons using food frequency questionnaires.

Area of Science:

  • Nutrition Science
  • Epidemiology
  • Food Science

Background:

  • Dietary assessment involves food consumption evaluation and nutrient conversion using food composition databases.
  • Errors in nutrient estimation can arise from the selection of specific food composition tables.
  • International comparative dietary studies require comparable assessment methods.

Purpose of the Study:

  • To develop a standardized multi-country food composition database for international dietary assessment.
  • To minimize differential errors in nutrient estimation across countries.
  • To enhance the validity of between-country dietary comparisons.

Main Methods:

  • Prepared a multi-country food composition database based on the USDA database.
  • Modified the database with local food composition tables and recipes for mixed dishes.

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  • Ensured consistency in units of measurement, food selection, and nutrient assays, while allowing for local variations.

    • Main Results:

    • A common metric for nutrient assessment was established across participating countries.
    • The database facilitates comparable diet assessment using food frequency questionnaires.
    • Potential for reduced differential errors in nutrient estimation was achieved.

    Conclusions:

    • A standardized, multi-country food composition database is crucial for valid international dietary comparisons.
    • This approach enhances the reliability of nutrient intake estimations in global studies.
    • Consistent methodology improves the comparability of dietary data across diverse populations.