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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
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Computational tool for usual intake modelling workable at the European level.

Polly E Boon1, Hilko van der Voet, Jiri Ruprich

  • 1National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. polly.boon@rivm.nl

Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association
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Two computational models were compared for lead intake assessment. The Observed Individual Means model provided more conservative exposure estimates than the LogisticNormal–Normal model, showing the Monte Carlo Risk Assessment tool

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Area of Science:

  • Food safety and toxicology
  • Risk assessment methodologies
  • Computational modeling in public health

Background:

  • Assessing usual dietary intake of contaminants like lead is crucial for public health.
  • Existing models may differ in their exposure estimation, impacting risk characterization.
  • The Monte Carlo Risk Assessment (MCRA) tool offers potential for robust intake assessments.

Purpose of the Study:

  • To compare two models within the MCRA tool for estimating usual lead intake across five countries.
  • To evaluate the suitability of MCRA for use with European Food Safety Authority (EFSA) data standards.
  • To assess the impact of different modeling approaches on exposure distribution estimates.

Main Methods:

  • Utilized national food consumption data and a lead concentration database, both structured using EFSA's FoodEx1 classification system.
  • Employed the Monte Carlo Risk Assessment (MCRA) tool to compare the Observed Individual Means (OIM) model and the LogisticNormal–Normal (LNN) model.
  • Analyzed exposure estimates, particularly in the right tail of the distribution, to assess model conservatism.

Main Results:

  • The OIM model yielded more conservative estimates in the right tail of the exposure distribution compared to the LNN model.
  • MCRA successfully estimated usual lead intake using EFSA-standardized food consumption and concentration data.
  • The study confirmed MCRA's compatibility with EFSA's data environment and FoodEx1 classification.

Conclusions:

  • The choice of model significantly influences the estimation of high-end dietary lead exposure.
  • MCRA is a viable tool for assessing usual dietary intake within EFSA's data framework.
  • MCRA offers data quality checks and guidance on selecting appropriate intake models.