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

Metadata Updated: February 13, 2019

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.

This dataset is associated with the following publication: Michael, L., G.G. Brown, and L. Melnyk. Estimation of pyrethroid pesticide intake using regression modeling of food groups based on composite dietary samples... Journal of Environmental Science and Health. Part B, Pesticides, Food Contaminants, and Agricultural Wastes. Marcel Dekker Incorporated, New York, NY, USA, 51(11): 751, (2016).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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References

https://dx.doi.org/10.1080/03601234.2016.1198640

Dates

Metadata Created Date April 26, 2017
Metadata Updated Date February 13, 2019

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date April 26, 2017
Metadata Updated Date February 13, 2019
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier A-4qrk-161
Maintainer
Lisa Melnyk
Maintainer Email
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id b2f106a1-bdd3-4906-bf22-e2ab1eceb8ca
Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Data Last Modified 2010-09-30
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://dx.doi.org/10.1080/03601234.2016.1198640
Source Datajson Identifier True
Source Hash a97234a1780589a588cb4de9595cd1e819032987
Source Schema Version 1.1

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