Performance of population specific job exposure matrices (JEMs): European collaborative analyses on occupational risk factors for chronic obstructive pulmonary disease with job exposure matrices (ECOJEM)
N Le Mouala, P Bakkeb, E Orlowskia, D Heederikc, H Kromhoutc, S M Kennedyd, B Rijckene, F Kauffmanna
a INSERM Epidemiology
and Biostatistics Unit 472, Villejuif, France, b Department Thoracic Medicine, Bergen, Norway, c Environmental and Occupational
Health Group, Wageningen University, The Netherlands, d Occupational
Hygiene Program, University of British Columbia, Canada, e Department of Epidemiology, Groningen,
The Netherlands
Correspondence to: Ms N Le Moual, INSERM U472, 16 Avenue Paul Vaillant Couturier, F-94807 Villejuif cedex, France
Accepted 27
September 1999
OBJECTIVES
To compare
the performance of population specific job exposure matrices (JEMs) and
self reported occupational exposure with data on exposure and lung
function from three European general populations.
METHODS
Self reported
occupational exposure (yes or no) and present occupation were recorded
in the three general population surveys conducted in France, The
Netherlands, and Norway. Analysis was performed on subjects, aged
25-64, who provided good forced expiratory volume in 1 second
(FEV1) tracings and whose occupations were performed by at
least two people, in the French (6217 men and 5571 women), the Dutch
(men from urban (854) and rural (780) areas), and the Norwegian (395 men) surveys. Two population specific JEMs, based on the percentage of
subjects who reported themselves exposed in each job, were constructed
for each survey and each sex. The first matrix classified jobs into
three categories of exposure according to the proportion of subjects
who reported themselves exposed in each job (P10-50 JEM, low < 10%,
moderate 10-49%, high
50%). For the second matrix, a dichotomous
variable was constructed to have the same statistical power as the self
reported exposure
that is, the exposure prevalence (p) was the same
with both exposure assessment methods (Pp JEM). Relations between
occupational exposure, as estimated by the two JEMs and self reported
exposure, and age, height, city, and smoking adjusted FEV1
score were compared.
RESULTS
Significant
associations between occupational exposure estimated by the population
specific JEM and lung function were found in the French and the rural
Dutch surveys, whereas no significant relation was found with self
reported exposure. In populations with few subjects in most jobs,
exposure cannot be estimated with sufficient precision by a population
specific JEM, which may explain the lack of relation in the Norwegian
and the Dutch (urban area) surveys.
CONCLUSION
The
population specific JEM, which was easy to construct and cost little,
seemed to perform better than crude self reported exposures, in
populations with sufficient numbers of subjects per job.
Keywords: job exposure matrix; occupational exposure; lung function
© 2000 by Occupational and Environmental Medicine
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