A Bayesian Approach for Determining the Relationship Between Various Elongate Mineral Particles (EMPs) Definitions

Details

• Personal Author:
  Alexander BH ; Hwang J ; Lin L ; MacLehose RF ; Mandel JH ; Ramachandran G ; Shao Y
• Description:
  A variety of dimensions (lengths and widths) of elongate mineral particles (EMPs) have been proposed as being related to health effects. In this paper, we develop a mathematical approach for deriving numerical conversion factors (CFs) between these EMP exposure metrics and applied it to the Minnesota Taconite Health Worker study which contains 196 different job exposure groups (28 similar exposure groups times 7 taconite mines). This approach comprises four steps: for each group (i) obtain EMP dimension information using ISO-TEM 10312/13794 analysis; (ii) use bivariate lognormal distribution to characterize overall EMP size distribution; (iii) use a Bayesian approach to facilitate the formation of the bivariate lognormal distribution; (iv) derive conversion factors between any pair of EMP definitions. The final CFs allow the creation of job exposure matrices (JEMs) for alternative EMP metrics using existing EMP exposures already characterized according to the National Institute of Occupational Safety and Health (NIOSH)-defined EMP exposure metric (length >5 microm with an aspect ratio >/= 3.0). The relationships between the NIOSH EMP and other EMP definitions provide the basis of classification of workers into JEMs based on alternate definitions of EMP for epidemiological studies of mesothelioma, lung cancer, and non-malignant respiratory disease. [Description provided by NIOSH]
• Subjects:
  Dust Epidemiology Minerals Mining Occupational Health Safety
• Keywords:
  Analytical Processes Author Keywords: Bayesian Approach Bivariate Lognormal Distribution Dust Exposure Elongate Mineral Particles EMP Exposure Metrics EMPs Exposure Assessment JEM Job Exposure Matrix Mathematical Models Mineral Dusts Particle Size Analysis Statistical Analysis Taconite Worker Health Workers

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• ISSN:
  2398-7308
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Florida ; Maryland ; Minnesota ; Ohio ; Oklahoma ; OSHA Region 3 ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 6
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  64
• Issue:
  9
• NIOSHTIC Number:
  nn:20061489
• Citation:
  Ann Work Expo Health 2020 Nov; 64(9):993-1006
• Contact Point Address:
  Gurumurthy Ramachandran, Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
• Email:
  gramach5@jhu.edu
• CAS Registry Number:
  Taconite (CAS RN 12249-26-2)
• Federal Fiscal Year:
  2021
• Performing Organization:
  Johns Hopkins University, Baltimore, Maryland
• Peer Reviewed:
  True
• Start Date:
  20140501
• Source Full Name:
  Annals of Work Exposures and Health
• End Date:
  20180715
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:5a83b7f075fb6a1189cbaf0c66b07e8be3840fd20105a909d27860c8fbe797f7285bd00caabee61b918ff3d79998b345af687430abe72f22a4c25c6d406c14dd
• Download URL:
  https://stacks.cdc.gov/view/cdc/225012/cdc_225012_DS1.pdf
• File Type:
  [PDF - 1.41 MB ]