Title of article :
A case–control study relating railroad worker mortality to diesel exhaust exposure using a threshold regression model
Author/Authors :
Lee، نويسنده , , Mei-Ling Ting and Whitmore، نويسنده , , G.A. and Laden، نويسنده , , Francine and Hart، نويسنده , , Jaime E. and Garshick، نويسنده , , Eric، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
10
From page :
1633
To page :
1642
Abstract :
A case–control study of lung cancer mortality in U.S. railroad workers in jobs with and without diesel exhaust exposure is reanalyzed using a new threshold regression methodology. The study included 1256 workers who died of lung cancer and 2385 controls who died primarily of circulatory system diseases. Diesel exhaust exposure was assessed using railroad job history from the US Railroad Retirement Board and an industrial hygiene survey. Smoking habits were available from next-of-kin and potential asbestos exposure was assessed by job history review. The new analysis reassesses lung cancer mortality and examines circulatory system disease mortality. Jobs with regular exposure to diesel exhaust had a survival pattern characterized by an initial delay in mortality, followed by a rapid deterioration of health prior to death. The pattern is seen in subjects dying of lung cancer, circulatory system diseases, and other causes. The unique pattern is illustrated using a new type of Kaplan–Meier survival plot in which the time scale represents a measure of disease progression rather than calendar time. The disease progression scale accounts for a healthy-worker effect when describing the effects of cumulative exposures on mortality.
Keywords :
Occupational health , stochastic process , Biostatistics , Cardiovascular disease , Death , Disease progression , Environmetrics , Epidemiology , Exposure risk , Healthy worker effect , Kaplan–Meier plot , Latent process , lung cancer , Health status , Survival an , First hitting time
Journal title :
Journal of Statistical Planning and Inference
Serial Year :
2009
Journal title :
Journal of Statistical Planning and Inference
Record number :
2219978
Link To Document :
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