Exposure–response relationship between lung cancer and polycyclic aromatic hydrocarbons (PAHs)

Objectives:To estimate the exposure–response function associating polycyclic aromatic hydrocarbon (PAH) exposure and lung cancer, with consideration of smoking.Methods:Mortality, occupational exposure and smoking histories were ascertained for a cohort of 16 431 persons (15 703 men and 728 women) wh...

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Published inOccupational and environmental medicine (London, England) Vol. 66; no. 11; pp. 740 - 746
Main Authors Armstrong, B G, Gibbs, G
Format Journal Article
LanguageEnglish
Published London BMJ Publishing Group Ltd 01.11.2009
BMJ Publishing Group
BMJ Publishing Group LTD
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Summary:Objectives:To estimate the exposure–response function associating polycyclic aromatic hydrocarbon (PAH) exposure and lung cancer, with consideration of smoking.Methods:Mortality, occupational exposure and smoking histories were ascertained for a cohort of 16 431 persons (15 703 men and 728 women) who had worked in one of four aluminium smelters in Quebec from 1950 to 1999. A variety of exposure–response functions were fitted to the cohort data using generalised relative risk models.Results:In 677 lung cancer cases there was a clear trend of increasing risk with increasing cumulative exposure to PAH measured as benzo(a)pyrene (BaP). A linear model predicted a relative risk of 1.35 (95% CI 1.22 to 1.51) at 100 μg/m−3 BaP years, but there was a significant departure from linearity in the direction of decreasing slope with increasing exposures. Among the models tried, the best fitting were a two-knot cubic spline and a power curve (RR = (1+bx)p), the latter predicting a relative risk of 2.68 at 100 μg/m−3 BaP years. Additive models and multiplicative models for combining risks from occupational PAH and smoking fitted almost equally well, with a slight advantage to the additive.Conclusion:Despite the large cohort with long follow-up, the shape of the exposure–response function and the mode of combination of risks due to occupational PAH and smoking remains uncertain. If a linear exposure–response function is assumed, the estimated slope is broadly in line with the estimate from a previous follow-up of the same cohort, and somewhat higher than the average found in a recent meta-analysis of lung cancer studies.
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See Commentary, p 716
Related-article-href:10.1136/oem.2009.047720
ISSN:1351-0711
1470-7926
DOI:10.1136/oem.2008.043711