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Exposure assessment
Estimates of historical exposures by phase contrast and transmission electron microscopy for pooled exposure–response analyses of North Carolina and South Carolina, USA asbestos textile cohorts
  1. John M Dement1,
  2. Dana Loomis2,
  3. David Richardson3,
  4. Susanne H Wolf3,
  5. Eileen D Kuempel4
  1. 1Division of Occupational and Environmental Medicine, Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA
  2. 2Department of Epidemiology, College of Public Health and Eppley Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska, USA
  3. 3Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
  4. 4The National Institute for Occupational Safety and Health, Education and Information Division, Cincinnati, Ohio, USA
  1. Correspondence to Professor John M Dement, Division of Occupational and Environmental Medicine, Department of Community and Family Medicine, Duke University Medical Center, 2200 W. Main Street, Suite 400, Durham, North Carolina 27705, USA; john.dement{at}duke.edu

Abstract

Objectives To develop pooled size-specific asbestos fiber exposure estimates for North Carolina and South Carolina asbestos textile plants.

Methods Airborne sample data and prior exposure estimates by phase-contrast microscopy (PCM) for the two cohorts were reviewed and compared. Estimates by transmission electron microscopy (TEM) for 160 membrane filter samples from all plant were pooled. Poisson regression models were developed to predict bivariate diameter/length airborne fiber size distributions based on independent categorical variables for fiber diameter, fiber length, plant, and exposure zone. The model predicted bivariate diameter/length distributions were expressed as the proportion of fibers in 28 size-specific cells and these data were used to calculate PCM to TEM adjustment factors in order to estimate fiber size-specific exposures for the pooled cohort.

Results Exposure levels in the North Carolina plants were in excess of 50 f/cc for many operations through about 1955 owing to lack of dust control measures in early years whereas levels in the South Carolina plant were generally less than 10 f/cc by about 1950. The Poisson regression models found covariates for plant department to be a stronger predictor of bivariate size proportions than plant; however, a plant effect was observed. The final Poisson models demonstrated good fit to the observed data.

Conclusions Consistent with early studies, fiber exposures in the North Carolina plants were much higher than in South Carolina plant. Use of the predicted size-specific TEM exposures by plant and department based on the Poisson model predictions should reduce exposure.

  • Exposure assessment
  • asbestos
  • chrysotile
  • TEM
  • PCM
  • textile
  • electron microscopy
  • retrospective

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Footnotes

  • Funding The National Institute for Occupational Safety and Health (NIOSH) supported this research (grant number R01 OH007803).

  • Competing interests None.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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