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

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1 occupations). Analysis was conducted based on "usual occupation" on all study subjects, and<br />

2 any occupation with sufficient cases was eligible <strong>for</strong> further analysis. In addition, cases enrolled<br />

3 after 1985 <strong>for</strong> which there were self-reported diesel exhaust exposure and detailed work histories<br />

4 were also analyzed separately.<br />

5 Both matched and unmatched analyses were done by calculating the adjusted (<strong>for</strong><br />

6 smoking and education) relative odds using the Mantel-Haenzael method and calculating the test-<br />

? based 95% confidence interval using the Miettinen method. Unconditional logistic regression<br />

8 was used to adjust <strong>for</strong> potential confounders (the PROC LOGIST of SAS). Linear trends <strong>for</strong> risk<br />

9 were also tested according to· Mantel.<br />

1 0 Adjusted relative odds <strong>for</strong> possible and probable exposure groups as well as the truck<br />

11 drivers were slightly below unity, none being statistically significant <strong>for</strong> the entire study·<br />

12 population. Although slight excesses were observed <strong>for</strong> the self-reported diesel exhaust exposure<br />

13 group and the subset of post-1985 enrollees <strong>for</strong> highest duration of exposure (<strong>for</strong> self-reported<br />

14 exposure, occupations with probable exposure and <strong>for</strong> truck drivers), none was statistically<br />

15 significant. Trend tests <strong>for</strong> the risk of lung cancer among self-reported diesel exhaust exposure,<br />

16 · probable exposure, and truck drivers with increasing exposure (duration of exposure used as<br />

17 surrogate <strong>for</strong> increasing dose) were nonsignificant too. Statistically significant lung cancer<br />

18 excesses were observed <strong>for</strong> cigarette smoking only.<br />

19 · The major strength of this study is availability of detailed smoking history. Even though<br />

20 detailed in<strong>for</strong>mation was obtained <strong>for</strong> the usual and five other occupations (1985), no ef<strong>for</strong>t was<br />

21 made to estimate or verify the actual exposure to diesel exhaust; instead, duration of employment<br />

22 was used as a surrogate <strong>for</strong> dose. The numbers of cases and controls were large; however, the<br />

23 number of individuals exposed to diesel exhaust was relatively few, thus reducing the power of<br />

24 the study. This study did not attempt latency analysis either. Given these limitations, the<br />

25 findings of this study are unable to provide either positive or negative evidence <strong>for</strong> a causal<br />

26 association between diesel exhaust and occurrence of lung cancer.<br />

27<br />

28 . 8.3.10. Emmelin et al. (1993): <strong>Diesel</strong> Exhaust Exposure and Smoking: A Case-Referent<br />

29 Study of Lung Cancer Among Swedish Dock Workers<br />

· 30 This is a case-control study of lung cancer drawn from the cohort defined as all-male<br />

31 workers who had been employed as dock workers <strong>for</strong> at least 6 months between 1950 and 1974.<br />

32 In the population of 6,573 froril20 ports, there were 90 lung cancer deaths (cases), identified<br />

33 . through Swedish death and cancer registers, during the period of 1960 to 1982. Of these 90<br />

34 deaths, the 54 who were workers at the 15 ports <strong>for</strong> which exposure surrogate in<strong>for</strong>mation was<br />

35 available were chosen <strong>for</strong> the cas_e-control study. Four controls, matched on port and age, were<br />

211/98 8-36 DRAFT --DO NOT CITE OR QUOTE

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