2003
DOI: 10.1038/sj.jea.7500296
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Environmental, dietary, demographic, and activity variables associated with biomarkers of exposure for benzene and lead

Abstract: Classification and regression tree methods represent a potentially powerful means of identifying patterns in exposure data that may otherwise be overlooked. Here, regression tree models are developed to identify associations between blood concentrations of benzene and lead and over 300 variables of disparate type (numerical and categorical), often with observations that are missing or below the quantitation limit. Benzene and lead are selected from among all the environmental agents measured in the NHEXAS Regi… Show more

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Cited by 21 publications
(11 citation statements)
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“…The time required for BPb to decline to < 10 µg dL −1 in non-chelated children having BPb levels between 25–29 µg dL −1 was about 2 years and was linearly related to the BPb peak /16/. In a study of the environmental, dietary, demographic, and activity variables associated with biomarkers of exposure for lead, BPb was found to be associated with: (a) housedust concentrations of lead; (b) the duration of time spent working in a closed workshop; and (c) the year in which the subject moved into the residence /20/. An important weakness of BPb is its poor response to changes in exposure at high levels /21/.…”
Section: Biomarkers/biological Monitoring Of Lead Exposurementioning
confidence: 99%
“…The time required for BPb to decline to < 10 µg dL −1 in non-chelated children having BPb levels between 25–29 µg dL −1 was about 2 years and was linearly related to the BPb peak /16/. In a study of the environmental, dietary, demographic, and activity variables associated with biomarkers of exposure for lead, BPb was found to be associated with: (a) housedust concentrations of lead; (b) the duration of time spent working in a closed workshop; and (c) the year in which the subject moved into the residence /20/. An important weakness of BPb is its poor response to changes in exposure at high levels /21/.…”
Section: Biomarkers/biological Monitoring Of Lead Exposurementioning
confidence: 99%
“…For example, the modeling results of arsenic air exposure concentrations for the three counties were compared with the corresponding 1996 NATA calculations, while the multimedia/multipathway arsenic exposure estimates for one of the case studies (Franklin County, OH) were compared with the results of a nationalscale modeling study reported by Meacher et al (2002). To evaluate the intake/uptake estimates, the calculated biomarker (total arsenic in urine samples) levels for Franklin County, OH were compared with those measured in NHEXAS-V. An independent "pattern recognition" Classification and Regression Tree (CART) (Roy et al, 2003) analysis of the NHEXAS-V study data on arsenic was also performed. The results of this analysis are presented in Figure 5 and corroborate independently the outcome of the MENTOR-based modeling analysis regarding the dominance of the food intake pathway.…”
Section: Model Evaluationmentioning
confidence: 99%
“…These data can be used as inputs to exposure models to understand the significance of human activities and behaviors on contact and estimate distributions of exposure. GPS data are coupled with personal monitoring, microenvironmental monitoring, and activity-pattern data (Duan 1991; Georgopoulos et al 2006; Glen et al 2008; Isakov et al 2007; McKone 1991; Price and Chaisson 2005; Roy et al 2003; U.S. EPA 1992; van Wendel de Joode et al 2005).…”
Section: Perspective On Researchmentioning
confidence: 99%