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SYN-JEM: A Quantitative Job-Exposure Matrix for Five Lung Carcinogens.

Identifieur interne : 001716 ( PubMed/Checkpoint ); précédent : 001715; suivant : 001717

SYN-JEM: A Quantitative Job-Exposure Matrix for Five Lung Carcinogens.

Auteurs : Susan Peters [Pays-Bas] ; Roel Vermeulen [Pays-Bas] ; Lützen Portengen [Pays-Bas] ; Ann Olsson [France] ; Benjamin Kendzia [Allemagne] ; Raymond Vincent [France] ; Barbara Savary [France] ; Jérôme Lavoué [Canada] ; Domenico Cavallo [Italie] ; Andrea Cattaneo [Italie] ; Dario Mirabelli [Italie] ; Nils Plato [Suède] ; Joelle Fevotte [France] ; Beate Pesch [Allemagne] ; Thomas Brüning [Allemagne] ; Kurt Straif [France] ; Hans Kromhout [Pays-Bas]

Source :

RBID : pubmed:27286764

Descripteurs français

English descriptors

Abstract

The use of measurement data in occupational exposure assessment allows more quantitative analyses of possible exposure-response relations. We describe a quantitative exposure assessment approach for five lung carcinogens (i.e. asbestos, chromium-VI, nickel, polycyclic aromatic hydrocarbons (by its proxy benzo(a)pyrene (BaP)) and respirable crystalline silica). A quantitative job-exposure matrix (JEM) was developed based on statistical modeling of large quantities of personal measurements.

DOI: 10.1093/annhyg/mew034
PubMed: 27286764


Affiliations:


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Le document en format XML

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<term>Carcinogens (analysis)</term>
<term>Chromium (analysis)</term>
<term>Europe</term>
<term>Humans</term>
<term>Lung Neoplasms (etiology)</term>
<term>Nickel (analysis)</term>
<term>Occupational Exposure (analysis)</term>
<term>Polycyclic Aromatic Hydrocarbons (analysis)</term>
<term>Silicon Dioxide (analysis)</term>
</keywords>
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<term>Amiante (analyse)</term>
<term>Canada</term>
<term>Cancérogènes (analyse)</term>
<term>Chrome (analyse)</term>
<term>Europe</term>
<term>Exposition professionnelle (analyse)</term>
<term>Humains</term>
<term>Hydrocarbures aromatiques polycycliques (analyse)</term>
<term>Nickel (analyse)</term>
<term>Polluants atmosphériques d'origine professionnelle (analyse)</term>
<term>Silice (analyse)</term>
<term>Tumeurs du poumon (étiologie)</term>
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<term>Air Pollutants, Occupational</term>
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<term>Carcinogens</term>
<term>Chromium</term>
<term>Nickel</term>
<term>Polycyclic Aromatic Hydrocarbons</term>
<term>Silicon Dioxide</term>
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<term>Amiante</term>
<term>Cancérogènes</term>
<term>Chrome</term>
<term>Exposition professionnelle</term>
<term>Hydrocarbures aromatiques polycycliques</term>
<term>Nickel</term>
<term>Polluants atmosphériques d'origine professionnelle</term>
<term>Silice</term>
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<term>Occupational Exposure</term>
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<keywords scheme="MESH" qualifier="etiology" xml:lang="en">
<term>Lung Neoplasms</term>
</keywords>
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<term>Tumeurs du poumon</term>
</keywords>
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<term>Canada</term>
<term>Europe</term>
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<term>Europe</term>
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<div type="abstract" xml:lang="en">The use of measurement data in occupational exposure assessment allows more quantitative analyses of possible exposure-response relations. We describe a quantitative exposure assessment approach for five lung carcinogens (i.e. asbestos, chromium-VI, nickel, polycyclic aromatic hydrocarbons (by its proxy benzo(a)pyrene (BaP)) and respirable crystalline silica). A quantitative job-exposure matrix (JEM) was developed based on statistical modeling of large quantities of personal measurements.</div>
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<Month>09</Month>
<Day>12</Day>
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<Month>09</Month>
<Day>12</Day>
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<Month>Aug</Month>
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<Title>The Annals of occupational hygiene</Title>
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<ArticleTitle>SYN-JEM: A Quantitative Job-Exposure Matrix for Five Lung Carcinogens.</ArticleTitle>
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<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">The use of measurement data in occupational exposure assessment allows more quantitative analyses of possible exposure-response relations. We describe a quantitative exposure assessment approach for five lung carcinogens (i.e. asbestos, chromium-VI, nickel, polycyclic aromatic hydrocarbons (by its proxy benzo(a)pyrene (BaP)) and respirable crystalline silica). A quantitative job-exposure matrix (JEM) was developed based on statistical modeling of large quantities of personal measurements.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Empirical linear models were developed using personal occupational exposure measurements (n = 102306) from Europe and Canada, as well as auxiliary information like job (industry), year of sampling, region, an a priori exposure rating of each job (none, low, and high exposed), sampling and analytical methods, and sampling duration. The model outcomes were used to create a JEM with a quantitative estimate of the level of exposure by job, year, and region.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Decreasing time trends were observed for all agents between the 1970s and 2009, ranging from -1.2% per year for personal BaP and nickel exposures to -10.7% for asbestos (in the time period before an asbestos ban was implemented). Regional differences in exposure concentrations (adjusted for measured jobs, years of measurement, and sampling method and duration) varied by agent, ranging from a factor 3.3 for chromium-VI up to a factor 10.5 for asbestos.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">We estimated time-, job-, and region-specific exposure levels for four (asbestos, chromium-VI, nickel, and RCS) out of five considered lung carcinogens. Through statistical modeling of large amounts of personal occupational exposure measurement data we were able to derive a quantitative JEM to be used in community-based studies.</AbstractText>
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<ForeName>Susan</ForeName>
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<Affiliation>1.Environmental Epidemiology Division, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; 2.Occupational Respiratory Epidemiology, School of Population Health, University of Western Australia, Perth, Australia; h.kromhout@uu.nl.</Affiliation>
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</AffiliationInfo>
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<ForeName>Lützen</ForeName>
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<Affiliation>1.Environmental Epidemiology Division, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands;</Affiliation>
</AffiliationInfo>
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</AffiliationInfo>
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</AffiliationInfo>
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<LastName>Fevotte</LastName>
<ForeName>Joelle</ForeName>
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</AffiliationInfo>
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