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Evaluation of potential confounding by smoking in the presence of misclassified smoking data in a cohort study of workers exposed to acrylonitrile.
- Source :
-
Journal of occupational and environmental medicine [J Occup Environ Med] 2015 Feb; Vol. 57 (2), pp. 146-51. - Publication Year :
- 2015
-
Abstract
- Objectives: To evaluate the extent to which lung cancer mortality risk estimates in relation to acrylonitrile (AN) exposure may have been confounded by smoking in the presence of misclassified smoking data.<br />Methods: Subjects were 992 white men employed for three or more months between 1960 and 1996 at a chemical plant in Lima, Ohio. We used Monte Carlo-based sensitivity analysis to address possible confounding by smoking.<br />Results: In Monte Carlo simulations that accounted for the relationship between smoking and AN exposure, mean relative risks for lung cancer mortality in relation to AN exposure decreased and we observed somewhat less evidence of an exposure-response relationship.<br />Conclusions: Our simulations suggest that the relationship between AN exposure and lung cancer mortality was positively confounded by smoking in the original Lima cohort study.
- Subjects :
- Air Pollutants, Occupational toxicity
Case-Control Studies
Cohort Studies
Computer Simulation
Confounding Factors, Epidemiologic
Data Collection standards
Humans
Lung Neoplasms etiology
Male
Monte Carlo Method
Occupational Diseases etiology
Ohio epidemiology
Prevalence
Acrylonitrile toxicity
Carcinogens toxicity
Chemical Industry
Lung Neoplasms mortality
Occupational Diseases mortality
Occupational Exposure adverse effects
Smoking epidemiology
Subjects
Details
- Language :
- English
- ISSN :
- 1536-5948
- Volume :
- 57
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Journal of occupational and environmental medicine
- Publication Type :
- Academic Journal
- Accession number :
- 25612297
- Full Text :
- https://doi.org/10.1097/JOM.0000000000000386