Date of filling in this questionnaire or last update: 16/11/2020
1. JOB-EXPOSURE MATRICES
JEM name
DEE-JEM
Institute
Utrecht University
Country
Netherlands
Contact person
Calvin Ge
Email
c.b.ge@uu.nl
References (citation)
  • Ge, C. B.; Peters, S.; Olsson, A. C.; et al. Diesel engine exhaust exposure, smoking, and lung cancer subtype risks: a pooled exposure-response analysis of 14 case–control studies. Am. J. Respir. Crit. Care Med. 2020, accepted.
Year JEM was developed
2019
Agents
  • Other Chemicals
Engine exhaust
  • Diesel engine exhaust
Occupation Axis
Yes
Coding system
  • ISCO 1968
Coding system (Number of digits used)
5
Industry Axis
No
Intensity
Yes
Intensity categories/units
  • Quantitative (specify unit)
Specify: Quantitative (specify unit)
μg/m3
Probability
Yes
Probability categories/levels
Assigned probabilities in the DEE-JEM consisted of one of three values in 0.1, 0.25, 0.5. A few ISCO-68 occupations at the 2- or 3-digit level received probabilities of 0.4 (n=3) and 0.6 (n=4) as median values of probabilities assigned to their respective 5-digit daughter occupations.
Duration
No
Frequency
No
Peaks
No
Data source(s)
  • Expert assessment
  • Direct measurements
Studies to which the JEM has been applied: Texts
  • Ge, C. B.; Peters, S.; Olsson, A. C.; et al. Diesel engine exhaust exposure, smoking, and lung cancer subtype risks: a pooled exposure-response analysis of 14 case–control studies. Am. J. Respir. Crit. Care Med. 2020, accepted.
Availability
  • Upon request