{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T23:13:08Z","timestamp":1782515588036,"version":"3.54.5"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T00:00:00Z","timestamp":1646697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","award":["MOP-14704"],"award-info":[{"award-number":["MOP-14704"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","award":["GS3-171364"],"award-info":[{"award-number":["GS3-171364"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009326","name":"Cancer Research Society","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009326","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000156","name":"Fonds de Recherche du Qu\u00e9bec\u2014Sant\u00e9","doi-asserted-by":"publisher","award":["16264"],"award-info":[{"award-number":["16264"]}],"id":[{"id":"10.13039\/501100000156","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002343","name":"Institut de recherche Robert-Sauv\u00e9 en sant\u00e9 et en s\u00e9curit\u00e9 du travail","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002343","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To compare the exposure data generated by using the Canadian job-exposure matrix (CANJEM) with data generated by expert assessment, for jobs held by women.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We selected 69 occupational agents that had been assessed by experts for each of 3403 jobs held by 998 women in a population-based case\u2013control 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\u2019s sensitivity, specificity, and kappa.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>CANJEM-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 \u22650.70 and specificity \u22650.99): fabric dust, cotton dust, synthetic fibres, cooking fumes, soldering fumes, calcium carbonate, and tin compounds. We present concordance estimates for each of 69 agents.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Concordance between CANJEM and expert assessment varied greatly by agents. Our results indicate which agents provide data that mimic best those obtained with expert assessment.<\/jats:p><\/jats:sec>","DOI":"10.1093\/annweh\/wxac008","type":"journal-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T20:12:08Z","timestamp":1643746328000},"page":"728-740","source":"Crossref","is-referenced-by-count":5,"title":["Concordance of Occupational Exposure Assessment between the Canadian Job-Exposure Matrix (CANJEM) and Expert Assessment of Jobs Held by Women"],"prefix":"10.1093","volume":"66","author":[{"given":"Mengting","family":"Xu","sequence":"first","affiliation":[{"name":"Health Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal , Montreal, QC , Canada"},{"name":"Department of Social and Preventive Medicine, University of Montreal , Montreal, QC , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0724-7917","authenticated-orcid":false,"given":"Vikki","family":"Ho","sequence":"additional","affiliation":[{"name":"Health Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal , Montreal, QC , Canada"},{"name":"Department of Social and Preventive Medicine, University of Montreal , Montreal, QC , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4950-5475","authenticated-orcid":false,"given":"Jerome","family":"Lavoue","sequence":"additional","affiliation":[{"name":"Health Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal , Montreal, QC , Canada"},{"name":"Department of Environmental and Occupational Health, University of Montreal , Montreal, QC , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lesley","family":"Richardson","sequence":"additional","affiliation":[{"name":"Health Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal , Montreal, QC , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jack","family":"Siemiatycki","sequence":"additional","affiliation":[{"name":"Health Innovation and Evaluation Hub, CRCHUM (Centre de recherche du CHUM), University of Montreal , Montreal, QC , Canada"},{"name":"Department of Social and Preventive Medicine, University of Montreal , Montreal, QC , Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,3,8]]},"reference":[{"key":"2022070212470348600_CIT0001","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1289\/ehp.1408307","article-title":"Occupational exposure to benzene and non-Hodgkin lymphoma in a population-based cohort: the Shanghai Women\u2019s Health Study","volume":"123","author":"Bassig","year":"2015","journal-title":"Environ Health Perspect"},{"key":"2022070212470348600_CIT0002","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1080\/104732201456168","article-title":"Comparison of occupational exposure using three different methods: hygiene panel, job exposure matrix (JEM), and self reports","volume":"16","author":"Benke","year":"2001","journal-title":"Appl Occup Environ Hyg"},{"key":"2022070212470348600_CIT0003","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1093\/annweh\/wxx116","article-title":"Do women and men have the same patterns of multiple occupational carcinogenic exposures? 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