1. JOB-EXPOSURE MATRICES |
JEM name
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CANJEM
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Institute
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University of Montréal
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Country
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Canada
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Contact person
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Jérôme Lavoué
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Email
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jerome.lavoue@umontreal.ca
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References (citation)
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- Siemiatycki, J., Lavoué, J. (2018) Availability of a New Job-Exposure Matrix (CANJEM) for Epidemiologic and Occupational Medicine Purposes. J Occup Environ Med. 2018 60(7):e324-e328. PMID:29642096
- Sauvé, J.F., Siemiatycki, J., Labrèche, F., Richardson, L., Pintos, J., Sylvestre, M.P., Gérin, M., Bégin, D., Lacourt, A., Kirkham, T., Rémen, T., Pasquet, R., Goldberg, M.S., Rousseau, M.C., Parent, M.E., Lavoué, J. (2018) Development of and Selected Performance Characteristics of CANJEM, a General Population Job-Exposure Matrix Based on Past Expert Assessments of Exposure. Annals of Work Exposures and Health 62(7):783-795. PMID:29897403
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References (weblinks)
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Year JEM was developed
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2015
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Agents
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- Dusts and Fibres
- Solvents
- Pesticides
- Metals and Metal Oxides
- Other Chemicals
- Other (specify)
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Fibres
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Fibres | Specify: Other
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CANJEM included 258 agents from the categories selected above
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Occupation Axis
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Yes
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Coding system
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- ISCO 1968
- SOC 2010
- CITP 1968
- NOC 2011
- Other
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Specify: Other
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CCDO1971
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Coding system (Number of digits used)
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6
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Industry Axis
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Yes
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Industry coding system
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- ISIC rev 2 (1968)
- NAICS 2012
- Other
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Specify: Other
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Canadian SIC1980
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Website
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http://www.canjem.ca
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Region(s)
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- No region axis [specify global region to which JEM is applicable]
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Specify global region
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North america
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Time period covered
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1930-2000
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Time intervals
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Flexible within the global time period
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Sex-specific
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No
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Age-specific
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No
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Intensity
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Yes
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Intensity categories/units
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- Semi-quantitative (specify categories and cut-off points, if applicable )
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Semi-quantitative (specify categories and cut-off points, if applicable )
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Within a cell : proportion of workers unexposed and exposed at low/medium/high intensitty + derived median quantitative time weighted average
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Probability
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Yes
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Probability categories/levels
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direct probability
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Duration
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No
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Frequency
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Yes
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Frequency categories/levels
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<2 hours, [2-12[ hours [12-40[ hours and 40 hours out of a typical 40-hour workweek
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Peaks
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No
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Other
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Within a cell : proportion of exposed jobs evaluated as possible / probable / definite
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Data source(s)
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Studies to which the JEM has been applied: Texts
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- Zeng F, Lerro C, Lavoué J, et al (2017) Occupational exposure to pesticides and other biocides and risk of thyroid cancer. Occup Environ Med 74(7):502-510. PMID:28202579
- Doubleday, A., Baker, M., Lavoué, J., Siemiatyckki, J., Seixa, N. (2019) Estimating the population prevalence of traditional and novel occupational exposures. American Journal of Industrial Medicine 62(4): 273-363.
- Ouchene, L., Muntyanu, A., Lavoué, J., Baron M., Litvinov, I.V., Netchiporouk, E. (2020) Toward Understanding of Environmental Risk Factors in Systemic Sclerosis. J Cutan Med Surg. 2020 Sep 28;1203475420957950. doi: 10.1177/1203475420957950.
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Validation studies done: Texts
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- Lacourt, A., Labrèche, F., Goldberg, M.S., Siemiatycki, J., Lavoué, J. (2018) Agreement in Occupational Exposures Between Men and Women Using Retrospective Assessments by Expert Coders. Annals of work exposures and health 62(9):1159-1170. PMID:30124778
- Lavoué, J., Pintos, J., Van Tongeren, M., Kincl, L., Ridchardson, L., Kauppinen, T., Cardis, E., Siemiatycki, J. (2012). Comparison of exposure estimates in the Finnish job exposure matrix FINJEM with expert-based assessments performed in Montreal. Occupational and environmental medicine 69(7):465-71. PMID:22467796
- Kirkham, T.L., Siemiatycki, J., Labrèche, F., Lavoué, J. (2016) Impact of aggregating exposure information from cases and controls when building a population-based job-exposure matrix from past expert evaluations. Occupational and environmental medicine 73 (7) 474-481. PMID:27030203
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Availability
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Availability | Other (specify)
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As of 2020 : collaboration with the authors.
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Strengths
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Multi agent / Multi industry / retrospective / multi occup and industry classifications
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Weaknesses
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Based on expert review of jobs held during mainly 1960-1990
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