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

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 Minnesot...

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Published in:Annals of Work Exposures & Health Vol. 64; no. 9; pp. 993 - 1007
Main Authors: Shao, Yuan, MacLehose, Richard F, Lin, Lifeng, Hwang, Jooyeon, Alexander, Bruce H, Mandel, Jeffrey H, Ramachandran, Gurumurthy
Format: equations & formulas research tables/charts Journal Article
Published: Oxford University Press / USA Nov2020
Online Access:View this record in EBSCOhost
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      dt: Nov2020
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        atl: A Bayesian Approach for Determining the Relationship Between Various Elongate Mineral Particles (EMPs) Definitions.
      aug:
        au:
          Shao, Yuan
          MacLehose, Richard F
          Lin, Lifeng
          Hwang, Jooyeon
          Alexander, Bruce H
          Mandel, Jeffrey H
          Ramachandran, Gurumurthy
        affil: Division of Environmental Health Sciences, University of Minnesota , Minneapolis, MN, USA
      sug:
        subj:
          Minerals Adverse Effects
          Particulate Matter Adverse Effects
          Mining
          Occupational Exposure
          Human
          National Institute for Occupational Safety and Health
          Blue Collar Workers
          Bivariate Statistics
          Air Pollutants, Occupational Analysis
      ab: 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 µm 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.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
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        Journal Article
      ougenre: Article
    language: English
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