Consumptions settings

Selection settings

Table 31 Selection settings for module Consumptions.
Name	Type	Description
Selected tier	SettingsTemplateType	Specifies all module settings should be set according to a pre-defined tier or using custom settings.
Exposure type	ExposureType	The type of exposure considered in the assessment; acute (short term) or chronic (long-term).
Food survey	AlphaNumeric	The food consumption survey representative for the population of interest.
Restrict population to consumers or consumer days only	Boolean	Specifies whether the population should be restricted to the individuals (chronic) or individual days (acute) that have non-zero consumption.
Restrict population to consumers or consumer days with consumptions of specific foods	Boolean	Specifies whether the population should be restricted to the individuals (chronic) or individual days (acute) consuming any of the foods of the specified subset.
Selected foods-as-eaten	AlphaNumeric	Set of consumed foods that are of particular interest for restricting the consumers / consumption days.
Consumption subset: restrict to consumptions of specific foods	Boolean	If checked, then the consumptions are restricted to those of the specified food-as-eaten subset.
Selected foods-as-eaten	AlphaNumeric	Set of consumed foods that are of particular interest.
Match consumer selection to population definition options	IndividualSubsetType	Match consumption data to population definition. Use population definitions (default), ignore all population definitions or use a selection of properties.
Select one or more individual(day) properties to filter the population	AlphaNumeric	Select one or more individual(day) properties to filter the individuals(days) in the population.
Ignore sampling weights	Boolean	If checked, individual sampling weights are not used (sampling weight = 1). If unchecked, the specified sampling weights are used.
Exclude individuals with less than N days	Boolean	Filter out all individuals with less than N survey days.
N (number of days in survey)	Numeric	Specify the nominal number of days in the survey to filter out all individuals with less than N survey days.
Cofactor name	AlphaNumeric	Specify the name of the cofactor.
Covariable name	AlphaNumeric	Specify the name of the covariable.
Individual day subset	IndividualDaySubsetDefinition	Individual day subset definition.
Individuals subset definitions	IndividualsSubsetDefinition	Contains a list of subset definitions to filter the population’s individuals based on an individual’s properties, by property name and a custom filter query, for example a value range or a list of keywords.

Calculation settings

Table 32 Calculation settings for module Consumptions.
Name	Type	Description
Define populations based on specified individual properties	Boolean	Define a population by selecting specific ranges/values of individual properties. E.g., the female population between ages 18 and 45 is composed of the properties gender (female) and age (between 18 and 45).

Output settings

Table 33 Output settings for module Consumptions.
Name	Type	Description
Lower percentage for variability (%)	Numeric	The default value of 25% may be overruled.
Upper percentage for variability (%)	Numeric	The default value of 75% may be overruled.

Uncertainty settings

Table 34 Uncertainty settings for module Consumptions.
Name	Type	Description
Resample individuals	Boolean	Individual data are resampled from the original database using the bootstrap methodology (Efron 1979, Efron & Tibshirani 1993).
Resample portion sizes	Boolean	Specifies whether portion sizes should be resampled based on food consumption quantification data, see (Souverein et al. 2011).