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.

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

Cavallo, Domenico;Cattaneo, Andrea;
2024-01-01

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.
2024
2024
https://www.sjweh.fi/show_abstract.php?abstract_id=4140
case-control study; exposure–response; general population; JEM; job-exposure matrix; lung cancer; lung neoplasm; quantitative exposure assessment; respirable crystalline silica; respirable quartz exposure
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
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2166731
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