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A benchmark dose analysis of prenatal exposure to polychlorinated biphenyls.
- Source :
-
Environmental health perspectives [Environ Health Perspect] 2002 Apr; Vol. 110 (4), pp. 393-8. - Publication Year :
- 2002
-
Abstract
- Benchmark dose (BMD) analysis is used to determine levels of exposure to environmental contaminants associated with increased public health risk. In this study we used a benchmark approach to evaluate the risks associated with prenatal exposure to polychlorinated biphenyls (PCBs). We evaluated for intellectual impairment a cohort of children whose prenatal PCB exposure had been assessed from biologic specimens. We calculated BMDs and lower-bound confidence limits (BMDLs) for four end points using four sets of risk criteria. BMDLs were estimated using three different statistical methodologies. The BMDs and BMDLs were remarkably consistent across the four end points for each set of risk criteria, but differed substantially for the different risk criteria. The proportion of the sample considered at risk ranged from 9.8% for the least protective criteria to 74.1% for the most protective. Two methodologies, likelihood ratio and bootstrapping, generated generally similar BMDLs. BMD analysis provides a straightforward, reliable method for evaluating levels of exposure associated with increased public health risk. In the analyses performed in this study, the number of individuals considered at risk depended more on the risk criterion selected than on the outcome assessed.
- Subjects :
- Adult
Child
Cohort Studies
Dose-Response Relationship, Drug
Female
Humans
Male
Polychlorinated Biphenyls analysis
Pregnancy
Public Health
Risk Assessment
Benchmarking
Cognition Disorders etiology
Environmental Exposure
Intelligence
Polychlorinated Biphenyls adverse effects
Prenatal Exposure Delayed Effects
Subjects
Details
- Language :
- English
- ISSN :
- 0091-6765
- Volume :
- 110
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Environmental health perspectives
- Publication Type :
- Academic Journal
- Accession number :
- 11940457
- Full Text :
- https://doi.org/10.1289/ehp.02110393