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1. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships

Author

Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan

Abstract

OBJECTIVES: The quantitative job-exposure matrix SYN-JEM consists of various dimensions: job-specific estimates, region-specific estimates, and prior expert ratings of jobs by the semi-quantitative DOM-JEM. We analyzed the effect of different JEM dimensions on the exposure-response relationships between occupational silica exposure and lung cancer risk to investigate how these variations influence estimates of exposure by a quantitative JEM and associated health endpoints.METHODS: Using SYN-JEM, and alternative SYN-JEM specifications with varying dimensions included, cumulative silica exposure estimates were assigned to 16 901 lung cancer cases and 20 965 controls pooled from 14 international community-based case-control studies. Exposure-response relationships based on SYN-JEM and alternative SYN-JEM specifications were analyzed using regression analyses (by quartiles and log-transformed continuous silica exposure) and generalized additive models (GAM), adjusted for age, sex, study, cigarette pack-years, time since quitting smoking, and ever employment in occupations with established lung cancer risk.RESULTS: SYN-JEM and alternative specifications generated overall elevated and similar lung cancer odds ratios ranging from 1.13 (1st quartile) to 1.50 (4th quartile). In the categorical and log-linear analyses SYN-JEM with all dimensions included yielded the best model fit, and exclusion of job-specific estimates from SYN-JEM yielded the poorest model fit. Additionally, GAM showed the poorest model fit when excluding job-specific estimates.CONCLUSION: The established exposure-response relationship between occupational silica exposure and lung cancer was marginally influenced by varying the dimensions of SYN-JEM. Optimized modelling of exposure-response relationships will be obtained when incorporating all relevant dimensions, namely prior rating, job, time, and region. Quantitative job-specific estimates appeared to be the most prominent dimens

Published
2024

2. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships

Author

Planetary Health & Exposoom, Cancer, Circulatory Health, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Lissowska, Jolanta, Swiatkowska, Beata, Field, John K., McLaughlin, John R., Demers, Paul A., Pandics, Tamas, Forastiere, Franc Esco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, Planetary Health & Exposoom, Cancer, Circulatory Health, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Lissowska, Jolanta, Swiatkowska, Beata, Field, John K., McLaughlin, John R., Demers, Paul A., Pandics, Tamas, Forastiere, Franc Esco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan

Published
2024

3. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships

Author

IRAS OH Epidemiology Chemical Agents, Institute for Risk Assesment Sciences, IRAS – One Health Chemical, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, IRAS OH Epidemiology Chemical Agents, Institute for Risk Assesment Sciences, IRAS – One Health Chemical, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan

Published
2024

4. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships

Author

Ohlander, Johan, primary, Kromhout, Hans, additional, Vermeulen, Roel, additional, Portengen, Lützen, additional, Kendzia, Benjamin, additional, Savary, Barbara, additional, Cavallo, Domenico, additional, Cattaneo, Andrea, additional, Migliori, Enrica, additional, Richiardi, Lorenzo, additional, Plato, Nils, additional, Wichmann, Heinz-Erich, additional, Karrasch, Stefan, additional, Consonni, Dario, additional, Landi, Maria Teresa, additional, Caporaso, Neil E, additional, Siemiatycki, Jack, additional, Gustavsson, Per, additional, Jöckel, Karl-Heinz, additional, Ahrens, Wolfgang, additional, Pohlabeln, Hermann, additional, Fernández-Tardón, Guillermo, additional, Zaridze, David, additional, Jolanta Lissowska, Jolanta Lissowska, additional, Beata Swiatkowska, Beata Swiatkowska, additional, John K Field, John K Field, additional, McLaughlin, John R, additional, Demers, Paul A, additional, Pandics, Tamas, additional, Forastiere, Francesco, additional, Fabianova, Eleonora, additional, Schejbalova, Miriam, additional, Foretova, Lenka, additional, Janout, Vladimir, additional, Mates, Dana, additional, Barul, Christine, additional, Brüning, Thomas, additional, Behrens, Thomas, additional, Straif, Kurt, additional, Schüz, Joachim, additional, Olsson, Ann, additional, and Peters, Susan, additional

Published
2024
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5. Respirable crystalline silica and lung cancer in community-based studies: impact of jobexposure matrix specifications on exposure-response relationships.

Author

Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, and Ahrens, Wolfgang

Abstract

The article informs about the impact of job exposure matrix (JEM) specifications on the relationship between occupational silica exposure and lung cancer risk in community-based studies. Topics include the analysis of exposure-response relationships using different dimensions of SYN-JEM, with results indicating that including all dimensions yields the best model fit, particularly emphasizing the importance of quantitative job-specific estimates in the JEM.

Published
2024
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6. Development of a quantitative North and Central European job exposure matrix for wood dust

Author

Basinas, Ioannis, Liukkonen, Tuula, Sigsgaard, Torben, Andersen, Nils T, Vestergaard, Jesper M, Galea, Karen S, van Tongeren, Martie, Wiggans, Ruth, Savary, Barbara, Eduard, Wijnand, Kolstad, Henrik A, Vested, Anne, Kromhout, Hans, Schlünssen, Vivi, Basinas, Ioannis, Liukkonen, Tuula, Sigsgaard, Torben, Andersen, Nils T, Vestergaard, Jesper M, Galea, Karen S, van Tongeren, Martie, Wiggans, Ruth, Savary, Barbara, Eduard, Wijnand, Kolstad, Henrik A, Vested, Anne, Kromhout, Hans, and Schlünssen, Vivi

Abstract

Wood dust is an established carcinogen also linked to several non malignant respiratory disorders. A major limitation in research on wood dust and its health effects is the lack of (historical) quantitative estimates of occupational exposure for use in general population-based case-control or cohort studies. The present study aimed to develop a multinational quantitative Job Exposure Matrix (JEM) for wood dust exposure using exposure data from several Northern and Central European countries. For this, an occupational exposure database containing 12653 personal wood dust measurements collected between 1978 and 2007 in Denmark, Finland, France, The Netherlands, Norway, and the United Kingdom (UK) was established. Measurement data were adjusted for differences in inhalable dust sampling efficiency resulting from the use of different dust samplers and analysed using linear mixed effect regression with job codes (ISCO-88) and country treated as random effects. Fixed effects were the year of measurement, the expert assessment of exposure intensity (no, low, and high exposure) for every ISCO-88 job code from an existing wood dust JEM and sampling duration. The results of the models suggest that wood dust exposure has declined annually by approximately 8%. Substantial differences in exposure levels between countries were observed with the highest levels in the United Kingdom and the lowest in Denmark and Norway, albeit with similar job rankings across countries. The jobs with the highest predicted exposure are floor layers and tile setters, wood-products machine operators, and building construction labourers with geometric mean levels for the year 1997 between 1.7 and 1.9 mg/m3. The predicted exposure estimates by the model are compared with the results of wood dust measurement data reported in the literature. The model predicted estimates for full-shift exposures were used to develop a time-dependent quantitative JEM for exposure to wood dust that can be used to estimat

Published
2023

7. Development of a quantitative North and Central European job exposure matrix for wood dust

Author

IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Basinas, Ioannis, Liukkonen, Tuula, Sigsgaard, Torben, Andersen, Nils T, Vestergaard, Jesper M, Galea, Karen S, van Tongeren, Martie, Wiggans, Ruth, Savary, Barbara, Eduard, Wijnand, Kolstad, Henrik A, Vested, Anne, Kromhout, Hans, Schlünssen, Vivi, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Basinas, Ioannis, Liukkonen, Tuula, Sigsgaard, Torben, Andersen, Nils T, Vestergaard, Jesper M, Galea, Karen S, van Tongeren, Martie, Wiggans, Ruth, Savary, Barbara, Eduard, Wijnand, Kolstad, Henrik A, Vested, Anne, Kromhout, Hans, and Schlünssen, Vivi

Published
2023

9. Development of an Exposure Measurement Database on Five Lung Carcinogens (ExpoSYN) for Quantitative Retrospective Occupational Exposure Assessment

Author

Peters, Susan, Vermeulen, Roel, Olsson, Ann, Van Gelder, Rainer, Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, Williams, Nick, Woldbæk, Torill, Lavoué, Jérôme, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Dahmann, Dirk, Fevotte, Joelle, Pesch, Beate, Brüning, Thomas, Straif, Kurt, and Kromhout, Hans

Published
2012
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11. SYN-JEM: A Quantitative Job-Exposure Matrix for Five Lung Carcinogens

Author

Peters, Susan, Vermeulen, Roel, Portengen, L??tzen, Olsson, Ann, Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, LavouCrossed Sign, Jcrossed D Signr??me, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Fevotte, Joelle, Pesch, Beate, Br??ning, Thomas, Straif, Kurt, Kromhout, Hans, LS IRAS EEPI EXAS (Arb.hyg+bl.st.kar.), LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, LS IRAS EEPI EXAS (Arb.hyg+bl.st.kar.), LS IRAS EEPI GRA (Gezh.risico-analyse), and dIRAS RA-I&I RA

Subjects
Chromium, Canada, asbestos exposure, chromium, exposure assessment, exposure assessmentmixed models, nickel, polycyclic aromatic hydrocarbons, respirable crystalline silica, retrospective exposure assessment, Public Health, Environmental and Occupational Health, Lung Neoplasms, Respirable Crystalline Silica, Job-exposure matrix, Air Pollutants, Occupational, medicine.disease_cause, Asbestos, Toxicology, 03 medical and health sciences, 0302 clinical medicine, Nickel, Environmental health, Occupational Exposure, medicine, Journal Article, Humans, 030212 general & internal medicine, Polycyclic Aromatic Hydrocarbons, Carcinogen, Exposure assessment, Environmental and Occupational Health, Sampling (statistics), General Medicine, Silicon Dioxide, 030210 environmental & occupational health, Europe, Carcinogens, Environmental science, Occupational exposure, Public Health, Regional differences
Abstract

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. 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. 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. Conclusion: 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.

Published
2015

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

Author

Peters, Susan, Vermeulen, Roel, Portengen, L??tzen, Olsson, Ann, Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, LavouCrossed Sign, Jcrossed D Signr??me, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Fevotte, Joelle, Pesch, Beate, Br??ning, Thomas, Straif, Kurt, Kromhout, Hans, Peters, Susan, Vermeulen, Roel, Portengen, L??tzen, Olsson, Ann, Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, LavouCrossed Sign, Jcrossed D Signr??me, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Fevotte, Joelle, Pesch, Beate, Br??ning, Thomas, Straif, Kurt, and Kromhout, Hans

Abstract

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. 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. 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. CONCLUSION 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.

Published
2016

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

Author

LS IRAS EEPI EXAS (Arb.hyg+bl.st.kar.), LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, Peters, Susan, Vermeulen, Roel, Portengen, L??tzen, Olsson, Ann, Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, LavouCrossed Sign, Jcrossed D Signr??me, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Fevotte, Joelle, Pesch, Beate, Br??ning, Thomas, Straif, Kurt, Kromhout, Hans, LS IRAS EEPI EXAS (Arb.hyg+bl.st.kar.), LS IRAS EEPI GRA (Gezh.risico-analyse), dIRAS RA-I&I RA, Peters, Susan, Vermeulen, Roel, Portengen, L??tzen, Olsson, Ann, Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, LavouCrossed Sign, Jcrossed D Signr??me, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Fevotte, Joelle, Pesch, Beate, Br??ning, Thomas, Straif, Kurt, and Kromhout, Hans

Published
2016

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

Author

Projectafdeling ALS, Peters, Susan, Vermeulen, Roel, Portengen, Lützen, Olsson, Ann C., Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, LavouCrossed Sign, Jcrossed D.Signrôme, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Fevotte, Joelle, Pesch, Beate, Brüning, Thomas, Straif, Kurt, Kromhout, Hans, Projectafdeling ALS, Peters, Susan, Vermeulen, Roel, Portengen, Lützen, Olsson, Ann C., Kendzia, Benjamin, Vincent, Raymond, Savary, Barbara, LavouCrossed Sign, Jcrossed D.Signrôme, Cavallo, Domenico, Cattaneo, Andrea, Mirabelli, Dario, Plato, Nils, Fevotte, Joelle, Pesch, Beate, Brüning, Thomas, Straif, Kurt, and Kromhout, Hans

Published
2016

15. Panorama de la projection thermique en France

Author

Savary, Barbara and ORANGE, Colette

Subjects
produit chimique, protection individuelle, métal, carbure, [SPI] Engineering Sciences [physics], enquête, projection, oxyde, technique, traitement de surface, secteur activité, alliage, appareil de protection respiratoire, chaleur, particule ultra-fine, épidémiologie, cartographie, métallisation, particule, exposition professinnelle, céramique
Abstract

Afin de modifier les propriétés de certains matériaux, de nombreux secteurs d’activité ont recours à des procédés de projection thermique. Les revêtements appliqués, dont certains matériaux sont toxiques, émettent lors de l’application des nanoparticules qui peuvent être inhalés par les salariés. Pour mieux cibler les actions de prévention, il a été nécessaire de réaliser une cartographie des utilisations de la projection thermique (type de procédé utilisé, matériaux, secteur d’activité).

Published
2014

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

Author

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

Published
2016
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