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A Bayesian Model and Stochastic Exposure (Dose) Estimation for Relative Exposure Risk Comparison Involving Asbestos‐Containing Dropped Ceiling Panel Installation and Maintenance Tasks

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  • Fred W. Boelter
  • Yulin Xia
  • Jacob D. Persky

Abstract

Assessing exposures to hazards in order to characterize risk is at the core of occupational hygiene. Our study examined dropped ceiling systems commonly used in schools and commercial buildings and lay‐in ceiling panels that may have contained asbestos prior to the mid to late 1970s. However, most ceiling panels and tiles do not contain asbestos. Since asbestos risk relates to dose, we estimated the distribution of eight‐hour TWA concentrations and one‐year exposures (a one‐year dose equivalent) to asbestos fibers (asbestos f/cc‐years) for five groups of workers who may encounter dropped ceilings: specialists, generalists, maintenance workers, nonprofessional do‐it‐yourself (DIY) persons, and other tradespersons who are bystanders to ceiling work. Concentration data (asbestos f/cc) were obtained through two exposure assessment studies in the field and one chamber study. Bayesian and stochastic models were applied to estimate distributions of eight‐hour TWAs and annual exposures (dose). The eight‐hour TWAs for all work categories were below current and historic occupational exposure limits (OELs). Exposures to asbestos fibers from dropped ceiling work would be categorized as “highly controlled” for maintenance workers and “well controlled” for remaining work categories, according to the American Industrial Hygiene Association exposure control rating system. Annual exposures (dose) were found to be greatest for specialists, followed by maintenance workers, generalists, bystanders, and DIY. On a comparative basis, modeled dose and thus risk from dropped ceilings for all work categories were orders of magnitude lower than published exposures for other sources of banned friable asbestos‐containing building material commonly encountered in construction trades.

Suggested Citation

  • Fred W. Boelter & Yulin Xia & Jacob D. Persky, 2017. "A Bayesian Model and Stochastic Exposure (Dose) Estimation for Relative Exposure Risk Comparison Involving Asbestos‐Containing Dropped Ceiling Panel Installation and Maintenance Tasks," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1729-1741, September.
  • Handle: RePEc:wly:riskan:v:37:y:2017:i:9:p:1729-1741
    DOI: 10.1111/risa.12733
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    References listed on IDEAS

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    1. Fred W. Boelter & Yulin Xia & Linda Dell, 2015. "Comparative Risks of Cancer from Drywall Finishing Based on Stochastic Modeling of Cumulative Exposures to Respirable Dusts and Chrysotile Asbestos Fibers," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 859-871, May.
    2. Fred W. Boelter & Jacob D. Persky & Daniel M. Podraza & William H. Bullock, 2016. "Characterizing and Communicating Risk with Exposure Reconstruction and Bayesian Analysis: Historical Locomotive Maintenance/Repair Associated with Asbestos Woven Tape Pipe Lagging," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 228-243, February.
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    Cited by:

    1. Francesca Borghi & Libero Andrea Mazzucchelli & Davide Campagnolo & Sabrina Rovelli & Giacomo Fanti & Marta Keller & Andrea Cattaneo & Andrea Spinazzè & Domenico Maria Cavallo, 2020. "Retrospective Exposure Assessment Methods Used in Occupational Human Health Risk Assessment: A Systematic Review," IJERPH, MDPI, vol. 17(17), pages 1-17, August.

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    1. Francesca Borghi & Libero Andrea Mazzucchelli & Davide Campagnolo & Sabrina Rovelli & Giacomo Fanti & Marta Keller & Andrea Cattaneo & Andrea Spinazzè & Domenico Maria Cavallo, 2020. "Retrospective Exposure Assessment Methods Used in Occupational Human Health Risk Assessment: A Systematic Review," IJERPH, MDPI, vol. 17(17), pages 1-17, August.

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