This study relates the impact of various medical conditions to clinically i
mportant forced expiratory volume in I second (FEV1) declines in a cohort o
f steelworkers evaluated cross-sectionally and longitudinally. Medical reco
rds of 1171 randomly chosen steelworkers were obtained from the medical dep
artment of a steel company. We reviewed the medical records for information
regarding demographic parameters, smoking status, spirometry indexes, job
history, and the worker's respiratory health. These workers had performed a
nnual spirometry from 1980 to 1991 at least once and wp to 12 times. We com
pared the prevalence of medical conditions in 203 mat never-smoking steelwo
rkers in this group of 1171 workers by separating workers into three groups
on the basis of final predicted FEV1 values (<65%, between 65% and 79%, an
d greater than or equal to 80%). We also evaluated the prevalence of medica
l conditions and the association between these conditions and the rate of a
nnual decline in FEV1 in 475; steelworkers who had at least three valid tes
ts and at least 5 years separating the first and last test by multiple logi
stic regression analysis. Of the 475 steelworkers, 121 were categorized as
rapid decliners (an annual rate of decline in FEV1 exceeding the 75th perce
ntile of the slope distribution), whereas the remaining workers served as c
ontrols. Three of 203 and 17 of the remaining 200 in the cross-sectional su
rvey! had final predicted FEV1 values <65% or between 65% and 79%, respecti
vely. Among these 20 never-smelters, the accelerated rate of decline could
be reasonably explained by factors independent of dust and age in all but t
wo. In the 203 never-smokers, hay fever and trauma occurred more frequently
in those with a decreased predicted FEV1. In the longitudinal study of 475
workers, the prevalence of pneumonia was significantly greater in the rapi
d decliners, whereas the prevalence of allergy, asthma or hay fever, and tr
auma approached a significant excess in number. Logistic regression models
demonstrated that aging, weight gain, smoking trauma pneumonia, and a histo
ry of allergy, asthma, or hayfever were independently related to the risk o
f a clinically important decline of FEV1 in this group. In summary, there a
re multiple risk factors for an accelerated rate of decline in workers with
dust exposure. An accurate assessment of the causes for an excessive rate
of lung function decline in an individual worker within a population requir
es nn understanding of the relationship between environmental exposures, lu
ng function decline, and the individual worker's underlying health. In addi
tion to the three traditionally recognized variables-age, smoking, and dust
exposure-the medical conditions of trauma, pneumonia, and allergy, asthma,
or hayfever were related to a clinically important decline of FEV1 in this
industrial population.