Estimation of pyrethroid pesticide intake using regression modeling of food groups based on composite dietary samples

Population-based estimates of pesticide intake are needed to characterize exposure for particular demographic groups based on their dietary behaviors. Regression modeling performed on measurements of selected pesticides in composited duplicate diet samples allowed (1) estimation of pesticide intakes...

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Bibliographic Details
Published in:Journal of environmental science and health. Part B, Pesticides, food contaminants, and agricultural wastes Pesticides, food contaminants, and agricultural wastes, 2016-11, Vol.51 (11), p.751-759
Main Authors: Michael, Larry C., Brown, G. Gordon, Melnyk, Lisa Jo
Format: Article
Language:English
Subjects:
Community duplicate diet
Diet
dietary pesticide intake
Environmental Exposure - analysis
Environmental health
Florida
Food Contamination - analysis
Humans
Pesticide Residues - analysis
Pesticides
Pesticides - analysis
Pyrethrins - analysis
pyrethroids
Regression Analysis
regression modeling
sample compositing
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Summary:Population-based estimates of pesticide intake are needed to characterize exposure for particular demographic groups based on their dietary behaviors. Regression modeling performed on measurements of selected pesticides in composited duplicate diet samples allowed (1) estimation of pesticide intakes for a defined demographic community, and (2) comparison of dietary pesticide intakes between the composite and individual samples. Extant databases were useful for assigning individual samples to composites, but they could not provide the breadth of information needed to facilitate measurable levels in every composite. Composite sample measurements were found to be good predictors of pyrethroid pesticide levels in their individual sample constituents where sufficient measurements are available above the method detection limit. Statistical inference shows little evidence of differences between individual and composite measurements and suggests that regression modeling of food groups based on composite dietary samples may provide an effective tool for estimating dietary pesticide intake for a defined population.
ISSN:0360-1234
1532-4109
DOI:10.1080/03601234.2016.1198640