Literature DB >> 29573442

Asbestos standards: Impact of currently uncounted chrysotile asbestos fibers on lifetime lung cancer risk.

David B Richardson1, Alexander P Keil1, Stephen R Cole1, John Dement2.   

Abstract

BACKGROUND: Current regulations require that asbestos fibers are collected and examined using a light microscope. This method fails to enumerate fibers that are too short or thin to reliably count using a light microscope under normal conditions.
METHODS: A cohort of 3054 workers employed at an asbestos textile plant was followed to ascertain causes of death. Exposure was almost entirely chrysotile. Fiber counts were quantified using light microscopy and electron microscopy. The g-formula was used to estimate impacts on lung cancer of policies defined in terms of fiber counts quantified using light and electron microscopy.
RESULTS: Given exposure at the current standard, the estimated lung cancer risk was 7.33%, comparable to the risk expected under a standard of 1 fiber/mL counted using electron microscopy (7.30%). The lifetime risk of lung cancer under a standard of 0.1 fiber/mL counted by electron microscopy was estimated to be 7.10%.
CONCLUSIONS: We identify policies defined in terms of electron microscopy-based asbestos exposure metrics that yield comparable, or lower, lung cancer mortality than that expected under the current standard.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  asbestos; cohort studies; lung cancer; mortality study; occupational diseases

Mesh:

Substances:

Year:  2018        PMID: 29573442      PMCID: PMC5899641          DOI: 10.1002/ajim.22836

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  24 in total

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3.  The parametric g-formula for time-to-event data: intuition and a worked example.

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4.  A graphical approach to the identification and estimation of causal parameters in mortality studies with sustained exposure periods.

Authors:  J Robins
Journal:  J Chronic Dis       Date:  1987

5.  Airborne asbestos in Colorado public schools.

Authors:  D A Chadwick; R M Buchan; H J Beaulieu
Journal:  Environ Res       Date:  1985-02       Impact factor: 6.498

Review 6.  The worldwide pandemic of asbestos-related diseases.

Authors:  Leslie Stayner; Laura S Welch; Richard Lemen
Journal:  Annu Rev Public Health       Date:  2013-01-04       Impact factor: 21.981

7.  Exposure-response analysis of risk of respiratory disease associated with occupational exposure to chrysotile asbestos.

Authors:  L Stayner; R Smith; J Bailer; S Gilbert; K Steenland; J Dement; D Brown; R Lemen
Journal:  Occup Environ Med       Date:  1997-09       Impact factor: 4.402

8.  Comparative studies of airborne asbestos in occupational and non-occupational environments using optical and electron microscope techniques.

Authors:  J Cherrie; J Addison; J Dodgson
Journal:  IARC Sci Publ       Date:  1989

9.  Constructing inverse probability weights for marginal structural models.

Authors:  Stephen R Cole; Miguel A Hernán
Journal:  Am J Epidemiol       Date:  2008-08-05       Impact factor: 4.897

10.  An epidemiological study of the role of chrysotile asbestos fibre dimensions in determining respiratory disease risk in exposed workers.

Authors:  L Stayner; E Kuempel; S Gilbert; M Hein; J Dement
Journal:  Occup Environ Med       Date:  2007-12-20       Impact factor: 4.402

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  2 in total

1.  A review of time scale fundamentals in the g-formula and insidious selection bias.

Authors:  Alexander P Keil; Jessie K Edwards
Journal:  Curr Epidemiol Rep       Date:  2018-06-15

2.  A Quantile-Based g-Computation Approach to Addressing the Effects of Exposure Mixtures.

Authors:  Alexander P Keil; Jessie P Buckley; Katie M O'Brien; Kelly K Ferguson; Shanshan Zhao; Alexandra J White
Journal:  Environ Health Perspect       Date:  2020-04-07       Impact factor: 9.031

  2 in total

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