Lung Cancer Incidence Among World Trade Center Rescue and Recovery Workers
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2022/08/01
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Description:Background: Many World Trade Center disaster (WTC) rescue and recovery workers (WTC RRWV) were exposed to toxic inhalable particles. The impact of WTC exposures on lung cancer risk is unclear. Methods: Data from the WTC Health Program General Responders Cohort (WTCGRC) were linked to health information from a large New York City health system to identify incident lung cancer cases. Incidence rates for lung cancer were then calculated. As a comparison group, we created a microsimulation model that generated expected lung cancer incidence rates for a WTC- and occupationally-unexposed cohort with similar characteristics. We also fitted a Poisson regression model to determine specific lung cancer risk factors for WTC RRWV. Results: The incidence of lung cancer for WTC RRWV was 39.5 (95% confidence interval [CI]: 30.7-49.9) per 100,000 person-years. When compared to the simulated unexposed cohort, no significant elevation in incidence was found among WTC RRWV (incidence rate ratio [IRR] 1.34; 95% CI: 0.92-1.96). Predictors of lung cancer incidence included age, smoking intensity, and years since quitting for former smokers. In adjusted models evaluating airway obstruction and individual pre-WTC occupational exposures, only mineral dust work was associated with lung cancer risk (IRR: 2.03; 95% CI: 1.07-3.86). Discussion: In a sample from a large, prospective cohort of WTC RRWV we found a lung cancer incidence rate that was similar to that expected of a WTC- and occupationally-unexposed cohort with similar individual risk profiles. Guideline-concordant lung cancer surveillance and periodic evaluations of population-level lung cancer risk should continue in this group. [Description provided by NIOSH]
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Keywords:Author Keywords: Lung Cancer; Lung Diseases; Occupational Diseases; Occupational Lung Disease; Respiratory Diseases Lung Cancer; Rescue Workers; WTC; World Trade Center; Disaster Sites; Disaster Recovery; Workers; Work Environment; Exposure Levels; Risk Factors; Toxins; Particulates; Simulation Methods; Models; Statistical Analysis; Age Groups; Smoking; Airway Obstruction; Sampling;
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DOI:
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ISSN:2045-7634
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Volume:11
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Issue:16
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NIOSHTIC Number:nn:20064864
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Citation:Cancer Med 2022 Aug; 11(16):3136-3144
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Contact Point Address:Keith Sigel, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1087, New York, NY 10029
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Email:keith.sigel@mssm.edu
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Federal Fiscal Year:2022
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Performing Organization:Icahn School of Medicine at Mount Sinai, New York
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Peer Reviewed:True
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Start Date:20180701
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Source Full Name:Cancer Medicine
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End Date:20210630
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Main Document Checksum:urn:sha-512:e44f3f274c13547264ada5f42a226181f0783eaa3ee133175d18bb3702114212076d4fb30789591ba7f46d88942253353f7e1cbf26e02df4d76b8c20cc479a49
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