{"doi":"10.5271/sjweh.4140","title":"Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships","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.","journal":"Scandinavian Journal of Work Environment & Health","year":2024,"id":479316,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9479,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":22613,"name":"Hans Kromhout","orcid":"0000-0002-4233-1890","position":1,"is_corresponding":false},{"id":13060,"name":"Roel Vermeulen","orcid":"0000-0003-4082-8163","position":2,"is_corresponding":false},{"id":406510,"name":"Lützen Portengen","orcid":"0000-0003-1537-1843","position":3,"is_corresponding":false},{"id":859423,"name":"Benjamin Kendzia","orcid":"0000-0002-8662-795X","position":4,"is_corresponding":false},{"id":1318526,"name":"Barbara Savary","orcid":null,"position":5,"is_corresponding":false},{"id":1318170,"name":"Domenico Maria Cavallo","orcid":"0000-0003-1853-2999","position":6,"is_corresponding":false},{"id":1318171,"name":"Andrea Cattaneo","orcid":"0000-0002-2962-7259","position":7,"is_corresponding":false},{"id":1318527,"name":"Enrica Migliori","orcid":null,"position":8,"is_corresponding":false},{"id":265939,"name":"Lorenzo Richiardi","orcid":"0000-0003-0316-9402","position":9,"is_corresponding":false},{"id":1318172,"name":"Nils Plato","orcid":"0000-0002-4226-1730","position":10,"is_corresponding":false},{"id":788322,"name":"Heinz‐Erich Wichmann","orcid":null,"position":11,"is_corresponding":false},{"id":268139,"name":"Stefan Karrasch","orcid":"0000-0001-9807-2915","position":12,"is_corresponding":false},{"id":264020,"name":"Dario Consonni","orcid":"0000-0002-8935-3843","position":13,"is_corresponding":false},{"id":240362,"name":"Maria Teresa Landi","orcid":"0000-0003-4507-329X","position":14,"is_corresponding":false},{"id":251840,"name":"Neil E. 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