Modeling mixed exposures: an application to welding fumes in the construction trades

Details

• Personal Author:
  Flynn MR ; Susi, Pam
• Description:
  Workers are often exposed to mixtures of airborne contaminants which may complicate health studies, risk assessments, and epidemiological investigations. In situations where these mixed exposures are correlated, multivariate probability distributions may serve as models suitable for description and subsequent inference. This paper presents a methodology for modeling correlated mixed exposures using the Johnson system of multivariate probability distributions. This system involves transformations to normality and includes the multivariate normal and lognormal distributions, among others. The technique is illustrated with manganese exposures for pipefitters and boilermakers conditioned upon a measurement of total particulate exposure. Applications involving compliance and risk assessment for mixed exposure problems are presented using the fitted distributions. [Description provided by NIOSH]
• Subjects:
  Air Pollutants, Occupational Air Pollution, Indoor Construction Industry Environmental Monitoring Hazardous Substances Manganese Metals Occupational Health Particulate Matter Risk Assessment Safety Welding

  More +
• Keywords:
  Air-contamination Airborne-particles Analytical-models Author Keywords: Mixed Exposures Construction Construction-equipment Construction-industry Construction-workers Exposure-assessment Exposure Models Fumes Health-hazards Manganese-compounds Mathematical-models Metal-compounds Metal-fumes Risk-analysis Statistical-analysis Welders Welding-equipment

  More +
• ISSN:
  1436-3240
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article
• Place as Subject:
  Maryland ; North Carolina ; OSHA Region 3 ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  377-388
• Volume:
  24
• Issue:
  3
• NIOSHTIC Number:
  nn:20040842
• Citation:
  Stoch Environ Res Risk Assess 2010 Mar; 24(3):377-388
• Contact Point Address:
  M. R. Flynn, Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC 27599-7431, USA
• Email:
  mike_flynn@unc.edu
• CAS Registry Number:
  Manganese (CAS RN 7439-96-5)
• Federal Fiscal Year:
  2010
• NORA Priority Area:
  Construction
• Performing Organization:
  CPWR-The Center for Construction Research and Training, Silver Spring, Maryland
• Peer Reviewed:
  True
• Start Date:
  20040801
• Source Full Name:
  Stochastic Environmental Research and Risk Assessment
• End Date:
  20090630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:d70dae55e92a2a8988a1825f30addbb5a587be488653d04d6ede448260f9ca49958b4d85bf77f4f8fe3bd32cf7d2051816448ff62d81e8872b61e1dd8985f34c
• Download URL:
  https://stacks.cdc.gov/view/cdc/193561/cdc_193561_DS1.pdf
• File Type:
  [PDF - 479.79 KB ]