Evidence map›Paper›PMID 35258522›Full record

ArticleAnnals of work exposures and health2022

Concordance of Occupational Exposure Assessment between the Canadian Job-Exposure Matrix (CANJEM) and Expert Assessment of Jobs Held by Women.

Mengting Xu, Vikki Ho, Jerome Lavoue, Lesley Richardson, Jack Siemiatycki

Abstract read
In one paragraph

Article in Annals of work exposures and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mengting XuHealth Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal, Montreal, QC, Canada.
Vikki HoHealth Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal, Montreal, QC, Canada.ORCID 0000-0002-0724-7917
Jerome LavoueHealth Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal, Montreal, QC, Canada.ORCID 0000-0003-4950-5475
Lesley RichardsonHealth Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal, Montreal, QC, Canada.
Jack SiemiatyckiHealth Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal, Montreal, QC, Canada.

Funding

CIHR GS3-171364CIHR MOP-14704
6 · The paper itself

Abstract

objectivesTo compare the exposure data generated by using the Canadian job-exposure matrix (CANJEM) with data generated by expert assessment, for jobs held by women.

methodsWe selected 69 occupational agents that had been assessed by experts for each of 3403 jobs held by 998 women in a population-based case-control study of lung cancer. We then assessed the same agents among the same jobs by linking their occupation codes to CANJEM and thereby derived probability of exposure to each of the agents in each job. To create binary exposure variables, we dichotomized probability of exposure using two cutpoints: 25 and 50% (referred to as CANJEM-25% and CANJEM-50%). Using jobs as units of observation, we estimated the prevalence of exposure to each selected agent using CANJEM-25% and CANJEM-50%, and using expert assessment. Further, using expert assessment as the gold standard, for each agent, we estimated CANJEM's sensitivity, specificity, and kappa.

resultsCANJEM-based prevalence estimates correlated well with the prevalences assessed by the experts. When comparing CANJEM-based exposure estimates with expert-based exposure estimates, sensitivity, specificity, and kappa varied greatly among agents, and between CANJEM-25% and CANJEM-50% probability of exposure. With CANJEM-25%, the median sensitivity, specificity, and kappa values were 0.49, 0.99, and 0.46, respectively. Analogously, with CANJEM-50%, the corresponding values were 0.26, 1.00, and 0.35, respectively. For the following agents, we observed high concordance between CANJEM- and expert-based assessments (sensitivity ≥0.70 and specificity ≥0.99): fabric dust, cotton dust, synthetic fibres, cooking fumes, soldering fumes, calcium carbonate, and tin compounds. We present concordance estimates for each of 69 agents.

conclusionsConcordance between CANJEM and expert assessment varied greatly by agents. Our results indicate which agents provide data that mimic best those obtained with expert assessment.

Indexed as

Occupational ExposureCanadaCase-Control StudiesDustFemaleHumansOccupationsDustCANJEMconcordanceexpert assessmentexposure assessmentexposure misclassificationJEMretrospective exposure assessmentwomen

Identifiers

PMID35258522
PMCPMC9250288

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.