Evidence map›Paper›PMID 40122614›Full record

ArticleOccupational and environmental medicine2025

A less detailed job axis in a quantitative job-exposure matrix results in a similar exposure-response association.

Johan Ohlander, Susan Peters, Hans Kromhout

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Article in Occupational and environmental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Johan OhlanderInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands j.p.g.ohlander@uu.nl.ORCID 0000-0003-4279-2563
Susan PetersInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.ORCID 0000-0001-5662-1971
Hans KromhoutInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.ORCID 0000-0002-4233-1890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionQuantitative job-exposure matrices (JEMs) have been developed to assign exposure using International Standard Classification of Occupations (ISCO)-68 coded job information. For extended compatibility with the less detailed ISCO-88 coding, a quantitative JEM using the same underlying model was developed. We compared exposure-response relationships between cumulative respirable crystalline silica (RCS) and lung cancer risk using a quantitative JEM based on ISCO-88 (88-JEM) and ISCO-68 (68-JEM).

methodsBased on a common set of approximately 15 000 RCS measurements, job-specific, region-specific and time-specific exposure levels were estimated for the 88-JEM and the 68-JEM and linked to participants' job histories. Exposure-response relationships in an international lung cancer case-control study were analysed by logistic regression and generalised additive models.

resultsThe 88-JEM and the 68-JEM yielded similar RCS-lung cancer associations, with elevated lung cancer risks across each cumulative exposure quartile. The 88-JEM exhibited a minor not statistically significant upward bend in the exposure-response curve at higher exposures.

conclusionTo accurately detect associations between disease risk and occupational exposure, quantitative JEMs can be applied in community-based studies that provide job histories in either ISCO-88 or ISCO-68.

Indexed as

Lung NeoplasmsOccupational DiseasesOccupational ExposureSilicon DioxideAdultAgedCase-Control StudiesFemaleHumansInhalation ExposureLogistic ModelsMaleMiddle AgedOccupationsSilicon DioxideEpidemiologyLung Diseases, InterstitialMaterials, exposures or occupational groupsRisk assessmentSilicosis

Identifiers

PMID40122614
PMCPMC12171522

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