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RECORD NUMBER: 10 OF 15

OLS Field Name OLS Field Data
Main Title Identifying Predictors of Exposure: Analyses of the National Human Exposure Assessment Survey (NHEXAS) Questionnaire and Measurement Data.
Author Bloom, B. ; Crockett, P. W. ; Egeghy, P. P. ; Leiss, P. P. ; Quackenboss, J. J. ;
CORP Author Anteon Corp., Las Vegas, NV.;Environmental Protection Agency, Las Vegas, NV. National Exposure Research Lab.
Publisher Aug 2003
Year Published 2003
Report Number EPA/600/R-03/061;
Stock Number PB2004-100989
Additional Subjects Public health ; Health hazards ; Risk assessments ; Environmental exposure ; Chemicals ; Tables(Data) ; Hazardous materials ; Risks ; Questionnaires ; National Human Exposure Assessment Survey(NHEAS) ; Predictors
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100R6Z3.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2004-100989 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 05/17/2004
Collation 256p
Abstract
The National Human Exposure Assessment Survey (NHEXAS) studies provide the basis for identifying major predictors of exposure to understand how high exposures can be reduced and how activities contribute to exposures. A systematic analysis of the questions used in NHEXAS relative to environmental concentration and exposure measurements offers an opportunity to minimize participant burden and costs for future exposure and health effects studies. As part of the Strategic Analysis Plan for the NHEXAS study data, task P-01: Analysis and Comparison of NHEXAS Exposure Data to Residential Pollutant Sources, Concentrations, and Activity Patterns was charged with identifying questionnaire items and/or environmental and biological measures that are useful for predicting human exposure to chemicals. Using data from the NHEXAS Region 5 and Arizona studies, this project evaluated such potential relationships under three analysis objectives: modeling and regression analysis, classification of individuals by their exposure level, and classification of individuals with high-end exposure levels. Forty-eight model-based analyses for each of the three objectives were performed. The topics of predictors that seem to be most universal across the two studies and two chemical classes are air measurements, tobacco-related activities, air-exchange activities, housing characteristics, and where time is spent.