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Related Experiment Videos

The German Food Code and Nutrient Data Base (BLS II.2).

L I Dehne1, C Klemm, G Henseler

  • 1Federal Institute for Health Protection of Consumers and Veterinary Medicine (BgVV), Berlin, Germany.

European Journal of Epidemiology
|July 22, 1999
PubMed
Summary
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The German Food Code and Nutrient Data Base (BLS) provides comprehensive nutritional data for over 12,000 food items. This resource enables complete evaluation of consumption surveys by calculating data from recipes when analytical data is limited.

Area of Science:

  • Nutritional Science
  • Food Composition Analysis
  • Public Health Nutrition

Background:

  • Accurate food composition data is crucial for dietary assessments and public health research.
  • Existing food databases often have gaps in analytical data, limiting their utility.
  • The German Food Code and Nutrient Data Base (BLS) was developed to address these limitations.

Purpose of the Study:

  • To describe the conception and structure of the German Food Code and Nutrient Data Base (BLS).
  • To create a comprehensive and standardized resource for food and nutrient information in Germany.
  • To facilitate uninterrupted evaluation of consumption surveys.

Main Methods:

  • Development of a structured database containing approximately 12,000 coded foods, menus, and menu components.

Related Experiment Videos

  • Inclusion of up to 158 nutritional data points for each food item.
  • Calculation of nutritional data from recipes to supplement limited analytical data.

    • Main Results:

    • The BLS database was established with extensive food and nutrient information.
    • A significant portion of the data is derived from recipe calculations, ensuring data completeness.
    • The database provides a standardized instrument for evaluating consumption surveys without missing values.

    Conclusions:

    • The German Food Code and Nutrient Data Base (BLS) is a valuable tool for nutritional research and public health.
    • The methodology used ensures a high degree of data completeness, overcoming limitations of analytical data scarcity.
    • The BLS facilitates reliable and uninterrupted analysis of dietary consumption patterns.