title: Agreement of pesticide biomarkers between morning void and 24-h urine samples from farmers and their children.
abstract: In pesticide biomonitoring studies, researchers typically collect either single voids or daily (24-h) urine samples. Collection of 24-h urine samples is considered the "gold-standard", but this method places a high burden on study volunteers, requires greater resources, and may result in misclassification of exposure or underestimation of dose due to noncompliance with urine collection protocols. To evaluate the potential measurement error introduced by single void samples, we present an analysis of exposure and dose for two commonly used pesticides based on single morning void (MV) and 24-h urine collections in farmers and farm children. The agreement between the MV concentration and its corresponding 24-h concentration was analyzed using simple graphical and statistical techniques and risk assessment methodology. A consistent bias towards overprediction of pesticide concentration was found among the MVs, likely in large part due to the pharmacokinetic time course of the analytes in urine. These results suggest that the use of single voids can either over- or under-estimate daily exposure if recent pesticide applications have occurred. This held true for both farmers as well as farm children, who were not directly exposed to the applications. As a result, single void samples influenced the number of children exposed to chlorpyrifos whose daily dose estimates were above levels of toxicologic significance. In populations where fluctuations in pesticide exposure are expected (e.g., farm families), the pharmacokinetics of the pesticide and the timing of exposure events and urine collection must be understood when relying on single voids as a surrogate for longer time-frames of exposure.
authors.affiliation: Environmental Health Sciences Division, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA. sche0580@umn.edu
authors.forename: Deanna P
authors.initials: DP
authors.lastname: Scher
authors.forename: Bruce H
authors.initials: BH
authors.lastname: Alexander
authors.forename: John L
authors.initials: JL
authors.lastname: Adgate
authors.forename: Lynn E
authors.initials: LE
authors.lastname: Eberly
authors.forename: Jack S
authors.initials: JS
authors.lastname: Mandel
authors.forename: John F
authors.initials: JF
authors.lastname: Acquavella
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Bartels
authors.forename: Kathy A
authors.initials: KA
authors.lastname: Brzak
mesh_terms: D015084:2,4-Dichlorophenoxyacetic Acid / Q000652:urine*; D000293:Adolescent; D000383:Agriculture; D015415:Biomarkers / Q000652:urine; D002648:Child; D002675:Child, Preschool; D004390:Chlorpyrifos / Q000493:pharmacokinetics / Q000652:urine; D004781:Environmental Exposure / Q000032:analysis; D004784:Environmental Monitoring / Q000379:methods; D005190:Family; D005260:Female; D006801:Humans; D008297:Male; D016273:Occupational Exposure / Q000032:analysis; D010575:Pesticides / Q000493:pharmacokinetics / Q000652:urine*; D011728:Pyridones / Q000652:urine*; D016482:Urinalysis / Q000379:methods / Q000592:standards
chemical_list: D015415:Biomarkers; D010575:Pesticides; D011728:Pyridones; D015084:2,4-Dichlorophenoxyacetic Acid; C012587:3,5,6-trichloro-2-pyridinol; D004390:Chlorpyrifos