An Inhalation Distribution Model for the Lactating Mother and Nursing Child

Abstract

A rule-of-thumb methodology is presented to assist in assessing risk to a nursing child due to the mother's occupational inhalation exposure. The method represents an example of the use of physiologically based pharmacokinetic modeling using state-of-the-art computational techniques. A computer model is developed to describe distribution of non-metabolized, inhaled contaminants into a mother/child system as a function of the contaminants blood:air and octanol:water partition coefficients. Risk is assessed in terms of the area under the blood concentration vs. time curve of the exposure chemical. Since low partition values yield low risk for the nursing child and high values yield high risk, the model is exercised over a range of intermediate values (blood:air=2, 25; octanol:water=100,1500). Results are thus applicable to chemicals for which the mother's dose is a strong factor in estimating the child's risk. The most notable observation is that, for the range of partition values used, this model never predicts a risk for the child greater than 25% of that of the mother. An equation is provided (based on model results) that expresses the child's risk as a fraction of the mother's risk. Keywords: Lactation; Transport; Volatile organics; Computer models; Risk assessment; Physiologically based toxicokinetics; Reprints.

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Document Details

Document Type
Technical Report
Publication Date
Feb 06, 1988
Accession Number
ADA204821

Entities

People

  • Jeffrey W. Fisher
  • Melvin E. Andersen
  • Michael L. Shelley

Organizations

  • Armstrong Laboratory

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Adipose Tissue
  • Biomedical Research
  • Blood Flow
  • Classification
  • Coefficients
  • Computers
  • Environmental Pollutants
  • Equations
  • Literature
  • Metabolic Pathways
  • Observation
  • Risk
  • Risk Analysis
  • Statistical Analysis
  • Toxicology
  • Transport Ships

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Toxicology/Environmental Toxicology
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.