Development of an asthma specific job exposure matrix and its application in the epidemiological study of genetics and environment in asthma (EGEA)
Susan M Kennedya b, Nicole Le Moualb, Dominique Choudatc, Francine Kauffmannb
a School
of Occupational and Environmental Hygiene, University of British
Columbia, 2206 East Mall, Vancouver, BC, Canada V6T 1Z3, b INSERM U472 (Epidemiology and
Biostatistics), Villejuif, France, c Service de Pathologie
Professionnelle, Hôpital Cochin, Paris, France
Correspondence to: Dr S M Kennedy kennedy{at}interchange.ubc.ca
Accepted 18 May 2000
OBJECTIVES
To develop
a method suitable for estimating exposure risks in population studies
of asthma from job titles and international codes, by combining a new
job exposure matrix (JEM) with the expert judgement approach. The
method was applied in the French epidemiological study of the genetics
and environment in asthma (EGEA).
METHODS
The JEM
contains 22 exposure groups including 18 high risk groups based on
known risk factors for occupational asthma, divided into high molecular
weight agents, low molecular weight agents, and mixed environments.
After applying the JEM to job codes, exposure estimates for each
subject were re-evaluated by examining job title texts. Three high risk
exposure estimates for asthma were compared: firstly, applying the JEM
to original codes (from different coders in each study centre);
secondly, applying the JEM to revised codes (from one experienced
coder); and thirdly, after reviewing JEM exposure estimates in the
light of job title texts.
RESULTS
The study
comprised 173 cases with asthma and 285 controls (age 18-65). Odds
ratios (ORs) for asthma for high risk jobs were 1.0 (95% confidence
interval (95% CI) 0.6 to 1.7), applying the JEM to original codes; 1.4 (95% CI 0.8 to 2.3), applying the JEM to revised codes; and 1.7 (95%
CI 1.1 to 2.7), applying the JEM and subsequently re-evaluating
exposure estimates from job title texts. Asthma ORs were 1.4 (95% CI
0.6 to 2.9) for high molecular weight agents, 2.3 (95% CI 1.2 to 4.4)
for low molecular weight agents, and 2.1 (95% CI 0.9 to 5.2) for mixed environments.
CONCLUSIONS
This
asthma JEM, when enhanced by expert re-evaluation of exposure estimates
from job title texts, may be a useful tool in general population
studies of asthma. In this study, a 1.7-fold increase in prevalence
odds of high risk exposures was found among asthmatic workers compared
with controls, with risk magnitude varying for different classes of exposure.
Keywords: job exposure matrix; asthma; occupational exposure; epidemiological methods; case-control
© 2000 by Occupational and Environmental Medicine
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