title: Modeling long-term exposure of the whole population to chemicals in food.
abstract: This paper discusses a statistical exposure model (STEM) that can be used to estimate the percentage of the population exceeding ingestion intake criteria (e.g., ADI or TDI). In addition, STEM may be linked to toxicokinetic models to evaluate the interindividual variability in internal doses that results from variability in consumption habits. The assumptions of STEM are investigated by analyzing dioxin and cadmium intake data for the Dutch population.
authors.affiliation: National Institute of Public Health and Environmental Protection, (RIVM), Bilthoven, The Netherlands.
authors.forename: W
authors.initials: W
authors.lastname: Slob
mesh_terms: D002104:Cadmium / Q000008:administration & dosage / Q000032:analysis*; D004147:Dioxins / Q000008:administration & dosage / Q000032:analysis*; D004781:Environmental Exposure; D005506:Food Contamination / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D009426:Netherlands
chemical_list: D004147:Dioxins; D002104:Cadmium