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A case–control study relating railroad worker mortality to diesel exhaust exposure using a threshold regression model
Authors:Mei-Ling Ting Lee  GA Whitmore  Francine Laden  Jaime E Hart  Eric Garshick
Institution:1. Biostatistics Division, College of Public Health, Ohio State University, Columbus, OH, USA;2. Desautels Faculty of Management, McGill University, Montreal, Canada;3. Pulmonary and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, USA;4. Channing Laboratory, Department of Medicine, Brigham & Women''s Hospital, Harvard Medical School, Boston, MA, USA;5. Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA;6. Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
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:Biostatistics  Cardiovascular disease  Death  Disease progression  Environmetrics  Epidemiology  Exposure risk  First hitting time  Health status  Healthy worker effect  Kaplan&ndash  Meier plot  Latent process  Lung cancer  Occupational health  Stochastic process  Survival analysis  Wiener process  Work environment
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