Food conversions
Food conversions relate foods-as-eaten, as found in the consumption data, to modelled foods (foods-as-measured), which are the foods for which concentration data are available. A food-as-eaten can be linked to one, or multiple modelled foods using various conversion steps (e.g., using food recipes to translate a composite food into its ingredients). There are several types of conversion steps, and a conversion path may comprise multiple conversion steps between a food-as-eaten and a modelled food.
This module has as primary entities: Foods Substances
Output of this module is used by: Consumptions by modelled food Dietary exposures
Calculation of food conversions
Food conversions are computed recursively, starting with a food-as-eaten and following a path to ingredients (food recipes), super/sup-type foods, etc. until either arriving at a modelled food (commonly the raw primary commodity) or concluding that the path does not lead to a modelled food.
Inputs used: Consumptions Modelled foods Processing factors Food recipes Market shares Food extrapolations Total diet study sample compositions Active substances
Settings used
Settings and Tiers
- Food conversions tiers
- Retrospective dietary CRA (EC 2018) - Acute / Tier I
- Retrospective dietary CRA (EC 2018) - Chronic / Tier I
- Retrospective dietary CRA (EC 2018) - Acute / Tier II
- Retrospective dietary CRA (EC 2018) - Chronic / Tier II
- Retrospective dietary CRA (EFSA 2012) - Optimistic
- Retrospective dietary CRA (EFSA 2012) - Chronic / Pessimistic
- Retrospective dietary CRA (EFSA 2022) - Acute / Tier I
- Retrospective dietary CRA (EFSA 2022) - Chronic / Tier I
- Retrospective dietary CRA (EFSA 2022) - Acute / Tier II
- Retrospective dietary CRA (EFSA 2022) - Chronic / Tier II
- Prospective dietary CRA (EFSA 2023) - Acute / Tier II
- Prospective dietary CRA (EFSA 2023) - Chronic / Tier II