Date of filling in this questionnaire or last update: 15/10/2020
1. JOB-EXPOSURE MATRICES
JEM name
CANJEM
Institute
University of Montréal
Country
Canada
Contact person
Jérôme Lavoué
Email
jerome.lavoue@umontreal.ca
References (citation)
  • 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
References (weblinks)
  • www.canjem.ca
Year JEM was developed
2015
Agents
  • Dusts and Fibres
  • Solvents
  • Pesticides
  • Metals and Metal Oxides
  • Other Chemicals
  • Other (specify)
Fibres
  • Other (specify)
Fibres | Specify: Other
CANJEM included 258 agents from the categories selected above
Occupation Axis
Yes
Coding system
  • ISCO 1968
  • SOC 2010
  • CITP 1968
  • NOC 2011
  • Other
Specify: Other
CCDO1971
Coding system (Number of digits used)
6
Industry Axis
Yes
Industry coding system
  • ISIC rev 2 (1968)
  • NAICS 2012
  • Other
Specify: Other
Canadian SIC1980
Website
http://www.canjem.ca
Region(s)
  • No region axis [specify global region to which JEM is applicable]
Specify global region
North america
Time period covered
1930-2000
Time intervals
Flexible within the global time period
Sex-specific
No
Age-specific
No
Intensity
Yes
Intensity categories/units
  • Semi-quantitative (specify categories and cut-off points, if applicable )
Semi-quantitative (specify categories and cut-off points, if applicable )
Within a cell : proportion of workers unexposed and exposed at low/medium/high intensitty + derived median quantitative time weighted average
Probability
Yes
Probability categories/levels
direct probability
Duration
No
Frequency
Yes
Frequency categories/levels
<2 hours, [2-12[ hours [12-40[ hours and 40 hours out of a typical 40-hour workweek
Peaks
No
Other
Within a cell : proportion of exposed jobs evaluated as possible / probable / definite
Data source(s)
  • Expert assessment
Studies to which the JEM has been applied: Texts
  • 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.
Validation studies done: Texts
  • 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
Availability
  • Other
Availability | Other (specify)
As of 2020 : collaboration with the authors.
Strengths
Multi agent / Multi industry / retrospective / multi occup and industry classifications
Weaknesses
Based on expert review of jobs held during mainly 1960-1990