Health Assessment Document for Diesel Emissions - NSCEP | US ...

1 maximum likelihood method adjusting for age by birth year, usual amount smoked, and study
2 area. Logistic regression models were used to examine the interrelationship of multiple
3 variables. '
4 A statistically significant excess tisk was detected for employment of 10 years or more
·5 for all MER occupations (except truck drivers) adjusted for birth cohort, usual daily cigarette use,
6 and study area. The odds ratio for lung cancer using data gathered by direct interviews was 1.4
7 (95% CI = 1.1, 2.0), allowing for multiple MER employment, and 2.0 (95% CI = 1.3, 3.0),
8 excluding individuals ':"ith multiple MER employment. Odds ratios fo: all MER employment,
9 except truck drivers who were employed for less than 10 years, were 1.3 (95% CI = 1.0, 1.7) and
10 1.3 (95% CI = 0.9, 1.8) induding and excluding multiple MER employment, respectively. Odds
11 ratios were then derived for specific MER occupations and, to avoid the confounding effects of
12 multiple MER job classifications, analyses were also done excluding subjects with multiple
13 MER job exposures. Truck drivers employed for more than 10 years had an odds ratio of 1.5
14 (95% CI = 1.1, 1.9). A similar figure was obtained excluding subjects with multiple MER
15 employment. An excess risk was not detected for truck drivers employed less than 10 years.
16 The only other job category that showed a statistically significant excess for lung cancer was the
17 one that included taxi drivers and chauffeurs who worked multiple MER jobs for less thari 10
18 years (OR= 2.5, 95% CI =·1.4, 4.8). For the same category, the risk for individuals working in
19 that job for more than 10 years was 1.2 (95% CI :::;:; 0.5, 2.6). A statistical significant positive
20 trend (p