Statistical Modelling 9 (2009), 27–50
Using decomposed household food acquisitions as inputs of a Kinetic Dietary Exposure Model
Olivier Allais
INRA–CORELA,
Laboratoire de recherche sur la consommation
France
Jessica Tressou
INRA–Mét@risk,
16 rue Claude Bernard,
F–75231 Paris
France
eMail:
jessica.tressou@agroparistech.fr
Abstract:
Foods naturally contain a number of contaminants that may have different and
long-term toxic effects. This paper introduces a novel approach for the
assessment of such chronic food risk that integrates the pharmakokinetic
properties of a given contaminant. The estimation of such a Kinetic
Dietary Exposure Model (KDEM) should be based on long-term consumption
data which, for the moment, can only be provided by Household Budget
Surveys such as the TNS SECODIP panel in France. A semi-parametric model
is proposed to decompose a series of household quantities into individual
quantities which are then used as inputs of the KDEM. As an illustration,
the risk assessment related to the presence of methylmercury in seafoods
is revisited using this novel approach.
Keywords:
Household surveys; individualization; linear MIXED model; risk assessment; spline estimation
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