Abstract |
Amphiboles are common rock-forming minerals but when they form asbestos, they are known carcinogens. Mesothelioma mortality among miners and millers per the unit of asbestiform amphibole exposure varies significantly across cohorts when asbestos exposure measurements are based on the membrane filter method. Because the cohorts were exposed to different occurrences of asbestiform amphibole, variance in mesothelioma potency (RM ) among cohorts is likely due to differences in exposure characteristics not reflected by the membrane filter method. In this paper using both linear and nonlinear models we correlate RM from four mining and milling cohorts with two-dimensional parameters of the exposure. The parameters are based on the proportion of elongated minerals that are >5 μm in length from each occurrence that also have either (a) width ≤ 0.15 μm, or (b) width ≤ 0.25 μm. Based on the models we derived, it was possible to quantify RM for the occurrences of asbestiform amphibole associated with mesothelioma excess but for which epidemiologically based RM has not been published. It was demonstrated that modeled RM for amphibole occurrences in nonasbestiform habits are lower (fibrous glaucophane) or not significant (cleavage fragments). The results of the study can be used in a risk assessment of elongated mineral particles and have implications for public policy and regulations.
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Authors | Ann G Wylie, Andrey Korchevskiy, Alan M Segrave, Andrew Duane |
Journal | Journal of applied toxicology : JAT
(J Appl Toxicol)
Vol. 40
Issue 4
Pg. 515-524
(04 2020)
ISSN: 1099-1263 [Electronic] England |
PMID | 32040984
(Publication Type: Journal Article)
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Copyright | © 2020 John Wiley & Sons, Ltd. |
Chemical References |
- Aerosols
- Asbestos, Amphibole
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Topics |
- Aerosols
- Asbestos, Amphibole
(adverse effects, analysis)
- Construction Materials
(adverse effects, analysis)
- Humans
- Linear Models
- Mesothelioma
(diagnosis, epidemiology)
- Models, Theoretical
- Nonlinear Dynamics
- Occupational Exposure
(adverse effects)
- Particle Size
- Risk Assessment
- Risk Factors
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