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