Respirable crystalline silica and lung cancer in community-based studies : impact of job-exposure matrix specifications on exposure-response relationships
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:50 |
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| Enthalten in: |
Scandinavian journal of work, environment & health - 50(2024), 3 vom: 01. März, Seite 178-186 |
| Sprache: |
Englisch |
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| Anmerkungen: |
Date Completed 28.03.2024 Date Revised 28.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.5271/sjweh.4140 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367553821 |
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| 100 | 1 | |a Ohlander, Johan |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Respirable crystalline silica and lung cancer in community-based studies |b impact of job-exposure matrix specifications on exposure-response relationships |
| 264 | 1 | |c 2024 | |
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| 500 | |a Date Completed 28.03.2024 | ||
| 500 | |a Date Revised 28.03.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 7 | |a Silicon Dioxide |2 NLM | |
| 650 | 7 | |a 7631-86-9 |2 NLM | |
| 700 | 1 | |a Kromhout, Hans |e verfasserin |4 aut | |
| 700 | 1 | |a Vermeulen, Roel |e verfasserin |4 aut | |
| 700 | 1 | |a Portengen, Lützen |e verfasserin |4 aut | |
| 700 | 1 | |a Kendzia, Benjamin |e verfasserin |4 aut | |
| 700 | 1 | |a Savary, Barbara |e verfasserin |4 aut | |
| 700 | 1 | |a Cavallo, Domenico |e verfasserin |4 aut | |
| 700 | 1 | |a Cattaneo, Andrea |e verfasserin |4 aut | |
| 700 | 1 | |a Migliori, Enrica |e verfasserin |4 aut | |
| 700 | 1 | |a Richiardi, Lorenzo |e verfasserin |4 aut | |
| 700 | 1 | |a Plato, Nils |e verfasserin |4 aut | |
| 700 | 1 | |a Wichmann, Heinz-Erich |e verfasserin |4 aut | |
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| 700 | 1 | |a Jolanta Lissowska, Jolanta Lissowska |e verfasserin |4 aut | |
| 700 | 1 | |a Beata Swiatkowska, Beata Swiatkowska |e verfasserin |4 aut | |
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