Children's exposure assessment: A review of factors influencing children's exposure, and the data available to characterize and assess that exposure

Cohen Hubal, EA; Sheldon, LS; Burke, JM; Mccurdy, TR; Berry, MR; Rigas, ML; Zartarian, VG; Freeman, NCG

HERO ID

717411

Reference Type

Journal Article

Subtype

Review

Year

2000

Language

English

PMID

10856019

HERO ID 717411
Material Type Review
In Press No
Year 2000
Title Children's exposure assessment: A review of factors influencing children's exposure, and the data available to characterize and assess that exposure
Authors Cohen Hubal, EA; Sheldon, LS; Burke, JM; Mccurdy, TR; Berry, MR; Rigas, ML; Zartarian, VG; Freeman, NCG
Journal Environmental Health Perspectives
Volume 108
Issue 6
Page Numbers 475-486
Abstract We review the factors influencing children's exposure to environmental contaminants and the data available to characterize and assess that exposure. Children's activity pattern data requirements are demonstrated in the context of the algorithms used to estimate exposure by inhalation, dermal contact, and ingestion. Currently, data on children's exposures and activities are insufficient to adequately assess multimedia exposures to environmental contaminants. As a result, regulators use a series of default assumptions and exposure factors when conducting exposure assessments. Data to reduce uncertainty in the assumptions and exposure estimates are needed to ensure chemicals are regulated appropriately to protect children's health. To improve the database, advancement in the following general areas of research is required: identification of appropriate age/developmental benchmarks for categorizing children in exposure assessment; development and improvement of methods for monitoring children's exposures and activities; collection of activity pattern data for children (especially young children) required to assess exposure by all routes; collection of data on concentrations of environmental contaminants, biomarkers, and transfer coefficients that can be used as inputs to aggregate exposure models.
Doi 10.1289/ehp.108-1638158
Pmid 10856019
Wosid WOS:000087719900018
Url https://doi.org/10.1289/ehp.108-1638158
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
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