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Development of Probabilistic Models for Describing Individual Intakes of Chemical Residues in Food

Institutions
BIBRA International Ltd and CXR Biosciences Ltd, Dundee
Start date
1999
End date
2001
Objective

This project applied two different statistical procedures to a data set containing a variety of consumption distributions, with a view to assessing their usefulness in estimation of food consumption patterns. This project did not consider contaminant levels in food but includes data on the consumption of Vitamin A (which is available in the Dietary and Nutritional Survey of British adults (1990)).

The classical approach to estimate the within-individual and the between-individual components of variation separately is the analysis of variance (ANOVA) method used by Beaton. A more sophisticated procedure by Nusser can manage different types of statistical variability, intake values and between-person intake variability ranges and is able to process an array of distributions within the data. These two models were applied using data from different food groups: those whose consumption is fairly evenly distributed; those where it is slightly skewed; and those where consumption is very skewed. The project also considered whether 4-day food diary data could be used effectively rather than 7-day data.

More information

When there is a risk of chemical contaminants being found in food, e.g. mycotoxins or pesticide residues, it is important to know how frequently and in what amounts a person might be consuming that food. There is a need to develop a model that can estimate long-term intake from short-term data available, with a view for assessment of when it becomes likely that individuals may consume contaminants to a potentially hazardous level.

Find more about this project and other FSA food safety-related projects at the Food Standards Agency Research webpage.

Funding Source
Food Standards Agency
Project number
T01013
Categories
Mycotoxins
Risk Assessment, Management, and Communication
Chemical Contaminants