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On predicting multi-route and multimedia residential exposure to chlorpyrifos and diazinon.

Authors
Moschandreas-DJ; Karuchit-S; Kim-Y; Ari-H; Lebowitz-MD; O'Rourke-MK; Gordon-S; Robertson-G
Source
J Expo Anal Environ Epidemiol 2001 Jan-Feb; 11(1):56-65
NIOSHTIC No.
20031185
Abstract
This paper formulates regression models and examines their ability to associate exposures to chlorpyrifos and diazinon in residences with information obtained from questionnaires and environmental sampling of the National Human Exposure Assessment Survey Arizona (NHEXAS-AZ) database. A knowledge-based list of 29 potential exposure determinants was assembled from information obtained from six questionnaires administered in the course of the study. This list was used to select the independent variables of each model statistically and electronically. Depending on the data type of dependent and independent variables, four classes of regression models were developed to determine desired associations. Route-specific exposures were estimated using the indirect method of exposure estimation and measurements from the NHEXAS-AZ field study. The stepwise procedure was used to construct regression models. Significance level at P=0.10 was used for entry and retention of independent variables in a model. Twelve significant regression models were formulated to quantify associations among exposures and other variables in the NHEXAS-AZ database. Route-specific exposures to pesticides associate significantly with questionnaire-based variables such as preparation of pesticides, use of pesticide inside the house, and income level; and with concentration variables in three media: dermal wipe, sill wipe, and indoor air. Models formulated in this study may be used to estimate exposures to each of the pesticides. Yet, the use of these models must incorporate clear statements of the assumptions made in the formulation as well as the coefficient of determination and the confidence and prediction intervals of the dependent variable.
Keywords
Exposure-assessment; Epidemiology; Models; Questionnaires; Air-quality; Air-quality-monitoring; Pollution; Environmental-exposure; Insecticides; Pesticides
Contact
D. J. Moschandreas, Department of Chemical and Environmental Engineering, Illinois Institute of Technology, Perlstein Hall, Room 127, 10 West 33rd St., Chicago, IL 60616
CODEN
JEAEE9
CAS No.
2921-88-2; 333-41-5
Publication Date
20010101
Document Type
Journal Article
Email Address
djm@iit.edu
Funding Type
Grant
Fiscal Year
2001
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-T01-CCT-910446
Issue of Publication
1
ISSN
1053-4245
Source Name
Journal of Exposure Analysis and Environmental Epidemiology
State
AZ; IL; OH; NV
Performing Organization
University of Arizona, Tucson, Arizona
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