NDLI: Deterministic modeling of the exposure of individual participants in the National Health and Nutrition Examination Survey (NHANES) to polychlorinated biphenyls

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Deterministic modeling of the exposure of individual participants in the National Health and Nutrition Examination Survey (NHANES) to polychlorinated biphenyls

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Environmental Science: Processes & Impacts Vol - 18 Issue - 8

Environmental Science: Processes & Impacts Vol - 18 Issue - 7

Environmental Science: Processes & Impacts Vol - 18 Issue - 6

Environmental Science: Processes & Impacts Vol - 18 Issue - 5

Deterministic modeling of the exposure of individual participants in the National Health and Nutrition Examination Survey (NHANES) to polychlorinated biphenyls

Content Provider	Royal Society of Chemistry (RSC)
Author	Wood, Stephen A. Binnington, Matthew J. Wania, Frank Armitage, James M.
Copyright Year	2016
Abstract	A population's exposure to persistent organic pollutants, e.g., polychlorinated biphenyls (PCBs), is typically assessed through national biomonitoring programs, such as the United States National Health and Nutrition Examination Survey (NHANES). To complement statistical methods, we use a deterministic modeling approach to establish mechanistic links between human contaminant concentrations and factors (e.g. age, diet, lipid mass) deemed responsible for the often considerable variability in these concentrations. Lifetime exposures to four PCB congeners in 6128 participants from NHANES 1999–2004 are simulated using the ACC-Human model supplied with individualized input parameters obtained from NHANES questionnaires (e.g., birth year, sex, body mass index, dietary composition, reproductive behavior). Modeled and measured geometric mean PCB-153 concentrations in NHANES participants of 13.3 and 22.0 ng g−1 lipid, respectively, agree remarkably well, although lower model-measurement agreement for air, water, and food suggests that this is partially due to fortuitous error cancellation. The model also reproduces trends in the measured data with key factors such as age, parity and sex. On an individual level, 62% of all modeled concentrations are within a factor of three of their corresponding measured values (Spearman rs = 0.44). However, the model attributes more of the inter-individual variability to differences in dietary lipid intake than is indicated by the measured data. While the model succeeds in predicting levels and trends on the population level, the accuracy of individual-specific predictions would need to be improved for refined exposure characterization in epidemiological studies.
Starting Page	1157
Ending Page	1168
Page Count	12
File Format	HTM / HTML PDF
ISSN	20507887
Volume Number	18
Issue Number	9
Journal	Environmental Science: Processes & Impacts
DOI	10.1039/c6em00424e
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Subscribed
Subject Keyword	United States National Health and Nutrition Examination Survey PCB NHANES Spearman United States National Health and Nutrition Examination Survey Lipid Polychlorinated biphenyl
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Public Health, Environmental and Occupational Health Management, Monitoring, Policy and Law

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