國家衛生研究院 NHRI:Item 3990099045/2433

NHRI > National Institute of Environmental Health Sciences > Kuen-Yuh Wu(2001-2008) > Periodical Articles > Item 3990099045/2433

Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/2433

Title:	A statistical assessment on the stochastic relationship between biomarker concentrations and environmental exposures
Authors:	Chen, CC;Wu, KY;Chang, MJW
Contributors:	Division of Environmental Health and Occupational Medicine
Abstract:	Biological monitoring has gradually developed into a powerful tool in the identification and quantification of exposures to occupational and/or environmental hazards in environmental and occupational health studies. Aggregate individual exposure to pollutants and evidence for exploring dose-response relationship in the human bodies can be assessed through biomarker measurements. The existence of inter-individual differences among a study population, however, often hampers the relationship assessment between exposure and the biomarker. In this paper, a statistical random effects model identified from a simplified one-compartment pharmacokinetic model is applied to establish the dynamic relationship between a biomarker and its corresponding external exposure. This model avoids the complex parameter estimation problem encountered using a physiologically based pharmacokinetic (PBPK) model, and incorporates inter-individual variations often ignored in the usual regression approach. In addition, the relevant parameters for the generic kinetic process can be estimated directly. As a guideline for preliminary sampling strategy, tables of required sample sizes and the number of repeated measurements to achieve the desired statistical power and test efficiency are given. The currently established biological exposure indices (BEIs) for benzene and methyl chloroform are employed to illustrate the impact of inter-individual variations on the percentages of protection for workers exposed to the threshold limit value (TLV) of the corresponding chemical.
Keywords:	Engineering, Environmental;Engineering, Civil;Environmental Sciences;Statistics & Probability;Water Resources
Date:	2004-12
Relation:	Stochastic Environmental Research and Risk Assessment. 2004 Dec;18(6):377-385.
Link to:	http://dx.doi.org/10.1007/s00477-004-0208-2
JIF/Ranking 2023:	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1436-3240&DestApp=IC2JCR
Cited Times(WOS):	https://www.webofscience.com/wos/woscc/full-record/WOS:000226073400002
Cited Times(Scopus):	http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=10444227315
Appears in Collections:	[Kuen-Yuh Wu(2001-2008)] Periodical Articles

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