Literature DB >> 22001827

Modelling of occupational respirable crystalline silica exposure for quantitative exposure assessment in community-based case-control studies.

Susan Peters1, Roel Vermeulen, Lützen Portengen, Ann Olsson, Benjamin Kendzia, Raymond Vincent, Barbara Savary, Jérôme Lavoué, Domenico Cavallo, Andrea Cattaneo, Dario Mirabelli, Nils Plato, Joelle Fevotte, Beate Pesch, Thomas Brüning, Kurt Straif, Hans Kromhout.   

Abstract

We describe an empirical model for exposure to respirable crystalline silica (RCS) to create a quantitative job-exposure matrix (JEM) for community-based studies. Personal measurements of exposure to RCS from Europe and Canada were obtained for exposure modelling. A mixed-effects model was elaborated, with region/country and job titles as random effect terms. The fixed effect terms included year of measurement, measurement strategy (representative or worst-case), sampling duration (minutes) and a priori exposure intensity rating for each job from an independently developed JEM (none, low, high). 23,640 personal RCS exposure measurements, covering a time period from 1976 to 2009, were available for modelling. The model indicated an overall downward time trend in RCS exposure levels of -6% per year. Exposure levels were higher in the UK and Canada, and lower in Northern Europe and Germany. Worst-case sampling was associated with higher reported exposure levels and an increase in sampling duration was associated with lower reported exposure levels. Highest predicted RCS exposure levels in the reference year (1998) were for chimney bricklayers (geometric mean 0.11 mg m(-3)), monument carvers and other stone cutters and carvers (0.10 mg m(-3)). The resulting model enables us to predict time-, job-, and region/country-specific exposure levels of RCS. These predictions will be used in the SYNERGY study, an ongoing pooled multinational community-based case-control study on lung cancer.

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Year:  2011        PMID: 22001827     DOI: 10.1039/c1em10628g

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  23 in total

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Journal:  J Expo Sci Environ Epidemiol       Date:  2015-08-12       Impact factor: 5.563

2.  Developing a job-exposure matrix with exposure uncertainty from expert elicitation and data modeling.

Authors:  Heidi J Fischer; Ximena P Vergara; Michael Yost; Michael Silva; David A Lombardi; Leeka Kheifets
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3.  Development of Quantitative Estimates of Wood Dust Exposure in a Canadian General Population Job-Exposure Matrix Based on Past Expert Assessments.

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Journal:  Ann Work Expo Health       Date:  2019-01-07       Impact factor: 2.179

Review 4.  Use and Reliability of Exposure Assessment Methods in Occupational Case-Control Studies in the General Population: Past, Present, and Future.

Authors:  Calvin B Ge; Melissa C Friesen; Hans Kromhout; Susan Peters; Nathaniel Rothman; Qing Lan; Roel Vermeulen
Journal:  Ann Work Expo Health       Date:  2018-11-12       Impact factor: 2.179

5.  Sensitivity analyses of exposure estimates from a quantitative job-exposure matrix (SYN-JEM) for use in community-based studies.

Authors:  Susan Peters; Hans Kromhout; Lützen Portengen; Ann Olsson; Benjamin Kendzia; Raymond Vincent; Barbara Savary; Jérôme Lavoué; Domenico Cavallo; Andrea Cattaneo; Dario Mirabelli; Nils Plato; Joelle Fevotte; Beate Pesch; Thomas Brüning; Kurt Straif; Roel Vermeulen
Journal:  Ann Occup Hyg       Date:  2012-07-17

6.  Evaluating predictors of lead exposure for activities disturbing materials painted with or containing lead using historic published data from U.S. workplaces.

Authors:  Sarah J Locke; Nicole C Deziel; Dong-Hee Koh; Barry I Graubard; Mark P Purdue; Melissa C Friesen
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Journal:  Int J Occup Environ Health       Date:  2014-07-31

Review 8.  Evaluating temporal trends from occupational lead exposure data reported in the published literature using meta-regression.

Authors:  Dong-Hee Koh; Jun-Mo Nam; Barry I Graubard; Yu-Cheng Chen; Sarah J Locke; Melissa C Friesen
Journal:  Ann Occup Hyg       Date:  2014-09-05

Review 9.  New Opportunities in Exposure Assessment of Occupational Epidemiology: Use of Measurements to Aid Exposure Reconstruction in Population-Based Studies.

Authors:  Pamela J Dopart; Melissa C Friesen
Journal:  Curr Environ Health Rep       Date:  2017-09

10.  A Bayesian assessment of occupational health surveillance in workers exposed to silica in the energy and construction industry.

Authors:  Alberto Abad; Saki Gerassis; Ángeles Saavedra; Eduardo Giráldez; Julio F García; Javier Taboada
Journal:  Environ Sci Pollut Res Int       Date:  2018-08-18       Impact factor: 4.223

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