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

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

doi:10.5271/sjweh.4140

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

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

Research output: Contribution to journal › Article › Academic › peer-review

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 dimension for this general population JEM.

Original language	English
Pages (from-to)	178-186
Number of pages	9
Journal	Scandinavian Journal of Work, Environment & Health
Volume	50
Issue number	3
Early online date	24 Jan 2024
DOIs	https://doi.org/10.5271/sjweh.4140
Publication status	Published - 1 Apr 2024

Bibliographical note

Publisher Copyright:
© 2024, Nordic Association of Occupational Safety and Health. All rights reserved.

Funding

The SYNERGY project is funded by the German Social Accident Insurance (DGUV), and is coordinated by the International Agency for Research on Cancer (IARC), the Institute for Prevention and Occupational Medicine of the DGUV, Institute of the Ruhr-University Bochum (IPA) and the Institute for Risk Assessment Sciences at Utrecht University (IRAS). The original studies were funded by a list of agencies including: Canadian Inst Health Research and Guzzo-SRC Chair in Environment and Cancer; the Canadian Cancer Society and the Occupational Cancer Research Ctr of Ontario; the French agencies ANSES, ANR, ARC, INCA, FRM, InVS, DGT, and the Fondation de France; the German Federal Ministry of Education, Science, Research, and Technology and the Ministry of Labour and Social Affairs; EC's INCO-COPERNICUS program; Polish State Committee for Scient. Research; Roy Castle Foundation; NIH/ NCI/ DCEG Intramural Research Program, Lombardy Region, INAIL and the European Union Nuclear Fission Safety Program, Italian Ass. Cancer Research, Region Piedmont, Compagnia di San Paolo; Dutch Ministry of Health, Welfare & Sports, Nat. Inst. of Public Health & the Env., Europe Against Cancer Progr; In Spain the Inst. Univ. de Oncol. Univ. de Oviedo. Asturias, the Fondo de Investig. Sanitaria. FIS and the Ciber de Epidemiologia y Salud Publica. CIBERESP; the Swedish Council for Work Life Research and the Swedish EPA.

Funders	Funder number
Swedish EPA
Agence Nationale de la Recherche
Australian Research Council
Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro
German Federal Ministry of Education, Science, Research, and Technology
Roy Castle Foundation
Institute of the Ruhr-University Bochum
Compagnia di San Paolo
Centre International de Recherche sur le Cancer
National Institutes of Health
Canadian Cancer Society
European Commission
Ministerie van Volksgezondheid, Welzijn en Sport
International Psychogeriatric Association
Deutsche Gesetzliche Unfallversicherung
National Cancer Institute
National Institute for Public Health and the Environment
European Union Nuclear Fission Safety Program
Institut National Du Cancer
Fondation pour la Recherche Médicale
Ministry of Labour and Social Affairs
Dirección General de Tráfico
Rijksinstituut voor Volksgezondheid en Milieu
Institute for Risk Assessment Sciences at Utrecht University
Europe Against Cancer Progr
Canadian Inst Health Research and Guzzo-SRC
Institut de veille sanitaire
Polish State Committee for Scient
Fondation de France
Agence nationale de sécurité sanitaire de l’alimentation, de l’environnement et du travail

Keywords

JEM
cancer
case-control study
exposure–response
general population
job-exposure matrix
lung cancer
lung neoplasm
quantitative exposure assessment
respirable crystalline silica
respirable quartz exposure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5271/sjweh.4140Licence: CC BY

178_186_ohlanderFinal published version, 675 KBLicence: CC BY

Cite this

Ohlander, J., Kromhout, H., Vermeulen, R., Portengen, L., Kendzia, B., Savary, B., Cavallo, D., Cattaneo, A., Migliori, E., Richiardi, L., Plato, N., Wichmann, H.-E., Karrasch, S., Consonni, D., Landi, M. T., Caporaso, N. E., Siemiatycki, J., Gustavsson, P., Jöckel, K.-H., ... Peters, S. (2024). Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships. Scandinavian Journal of Work, Environment & Health, 50(3), 178-186. https://doi.org/10.5271/sjweh.4140

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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 dimension for this general population JEM.",

keywords = "JEM, cancer, case-control study, exposure–response, general population, job-exposure matrix, lung cancer, lung neoplasm, quantitative exposure assessment, respirable crystalline silica, respirable quartz exposure",

author = "Johan Ohlander and Hans Kromhout and Roel Vermeulen and L{\"u}tzen Portengen and Benjamin Kendzia and Barbara Savary and Domenico Cavallo and Andrea Cattaneo and Enrica Migliori and Lorenzo Richiardi and Nils Plato and Heinz-Erich Wichmann and Stefan Karrasch and Dario Consonni and Landi, {Maria Teresa} and Caporaso, {Neil E} and Jack Siemiatycki and Per Gustavsson and Karl-Heinz J{\"o}ckel and Wolfgang Ahrens and Hermann Pohlabeln and Guillermo Fern{\'a}ndez-Tard{\'o}n and David Zaridze and {Jolanta Lissowska}, {Jolanta Lissowska} and {Beata Swiatkowska}, {Beata Swiatkowska} and {John K Field}, {John K Field} and McLaughlin, {John R} and Demers, {Paul A} and Tamas Pandics and Francesco Forastiere and Eleonora Fabianova and Miriam Schejbalova and Lenka Foretova and Vladimir Janout and Dana Mates and Christine Barul and Thomas Br{\"u}ning and Thomas Behrens and Kurt Straif and Joachim Sch{\"u}z and Ann Olsson and Susan Peters",

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doi = "10.5271/sjweh.4140",

language = "English",

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Ohlander, J , Kromhout, H , Vermeulen, R , Portengen, L, Kendzia, B, Savary, B, Cavallo, D, Cattaneo, A, Migliori, E, Richiardi, L, Plato, N, Wichmann, H-E, Karrasch, S, Consonni, D, Landi, MT, Caporaso, NE, Siemiatycki, J, Gustavsson, P, Jöckel, K-H, Ahrens, W, Pohlabeln, H, Fernández-Tardón, G, Zaridze, D, Jolanta Lissowska, JL, Beata Swiatkowska, BS, John K Field, JKF, McLaughlin, JR, Demers, PA, Pandics, T, Forastiere, F, Fabianova, E, Schejbalova, M, Foretova, L, Janout, V, Mates, D, Barul, C, Brüning, T, Behrens, T, Straif, K, Schüz, J, Olsson, A & Peters, S 2024, 'Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships', Scandinavian Journal of Work, Environment & Health, vol. 50, no. 3, pp. 178-186. https://doi.org/10.5271/sjweh.4140

Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships. / Ohlander, Johan ; Kromhout, Hans ; Vermeulen, Roel et al.
In: Scandinavian Journal of Work, Environment & Health, Vol. 50, No. 3, 01.04.2024, p. 178-186.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Respirable crystalline silica and lung cancer in community-based studies

T2 - impact of job-exposure matrix specifications on exposure-response relationships

AU - Ohlander, Johan

AU - Kromhout, Hans

AU - Vermeulen, Roel

AU - Portengen, Lützen

AU - Kendzia, Benjamin

AU - Savary, Barbara

AU - Cavallo, Domenico

AU - Cattaneo, Andrea

AU - Migliori, Enrica

AU - Richiardi, Lorenzo

AU - Plato, Nils

AU - Wichmann, Heinz-Erich

AU - Karrasch, Stefan

AU - Consonni, Dario

AU - Landi, Maria Teresa

AU - Caporaso, Neil E

AU - Siemiatycki, Jack

AU - Gustavsson, Per

AU - Jöckel, Karl-Heinz

AU - Ahrens, Wolfgang

AU - Pohlabeln, Hermann

AU - Fernández-Tardón, Guillermo

AU - Zaridze, David

AU - Jolanta Lissowska, Jolanta Lissowska

AU - Beata Swiatkowska, Beata Swiatkowska

AU - John K Field, John K Field

AU - McLaughlin, John R

AU - Demers, Paul A

AU - Pandics, Tamas

AU - Forastiere, Francesco

AU - Fabianova, Eleonora

AU - Schejbalova, Miriam

AU - Foretova, Lenka

AU - Janout, Vladimir

AU - Mates, Dana

AU - Barul, Christine

AU - Brüning, Thomas

AU - Behrens, Thomas

AU - Straif, Kurt

AU - Schüz, Joachim

AU - Olsson, Ann

AU - Peters, Susan

PY - 2024/4/1

Y1 - 2024/4/1

N2 - 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 dimension for this general population JEM.

AB - 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 dimension for this general population JEM.

KW - JEM

KW - cancer

KW - case-control study

KW - exposure–response

KW - general population

KW - job-exposure matrix

KW - lung cancer

KW - lung neoplasm

KW - quantitative exposure assessment

KW - respirable crystalline silica

KW - respirable quartz exposure

UR - http://www.scopus.com/inward/record.url?scp=85189192041&partnerID=8YFLogxK

U2 - 10.5271/sjweh.4140

DO - 10.5271/sjweh.4140

M3 - Article

C2 - 38264956

SN - 0355-3140

VL - 50

SP - 178

EP - 186

JO - Scandinavian Journal of Work, Environment & Health

JF - Scandinavian Journal of Work, Environment & Health

IS - 3

ER -

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

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

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