Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification

Background. The healthy worker effect (HWE) is a source of bias in occupational studies of mortality among workers caused by use of comparative disease rates based on public data, which include mortality of unhealthy members of the public who are screened out of the workplace. For the US astronaut c...

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Main Authors: Leif E. Peterson, Tatiana Kovyrshina
Format: Article
Language:English
Published: Elsevier 2015-12-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844015302942
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spelling doaj-cd16ba369add4aca9b96bb821e48e8a62020-11-24T22:07:23ZengElsevierHeliyon2405-84402015-12-011410.1016/j.heliyon.2015.e00048Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassificationLeif E. PetersonTatiana KovyrshinaBackground. The healthy worker effect (HWE) is a source of bias in occupational studies of mortality among workers caused by use of comparative disease rates based on public data, which include mortality of unhealthy members of the public who are screened out of the workplace. For the US astronaut corp, the HWE is assumed to be strong due to the rigorous medical selection and surveillance. This investigation focused on the effect of correcting for HWE on projected lifetime risk estimates for radiation-induced cancer mortality and incidence. Methods. We performed radiation-induced cancer risk assessment using Poisson regression of cancer mortality and incidence rates among Hiroshima and Nagasaki atomic bomb survivors. Regression coefficients were used for generating risk coefficients for the excess absolute, transfer, and excess relative models. Excess lifetime risks (ELR) for radiation exposure and baseline lifetime risks (BLR) were adjusted for the HWE using standardized mortality ratios (SMR) for aviators and nuclear workers who were occupationally exposed to ionizing radiation. We also adjusted lifetime risks by cancer mortality misclassification among atomic bomb survivors. Results. For all cancers combined (“Nonleukemia”), the effect of adjusting the all-cause hazard rate by the simulated quantiles of the all-cause SMR resulted in a mean difference (not percent difference) in ELR of 0.65% and mean difference of 4% for mortality BLR, and mean change of 6.2% in BLR for incidence. The effect of adjusting the excess (radiation-induced) cancer rate or baseline cancer hazard rate by simulated quantiles of cancer-specific SMRs resulted in a mean difference of −1.2% in the all-cancer mortality ELR and mean difference of −6.4% in the mortality BLR. Whereas for incidence, the effect of adjusting by cancer-specific SMRs resulted in a mean change of −14.4% for the all-cancer BLR. Only cancer mortality risks were adjusted by simulated quantiles for misclassification, and results indicate a mean change of 1.1% for all-cancer mortality ELR, while the mean change in the all-cancer PC was approximately 4% for males and 6% for females. Conclusions. The typical life table approach for projecting lifetime risk of radiation-induced cancer mortality and incidence for astronauts and radiation workers can be improved by adjusting for HWE while simulating the uncertainty of input rates, input excess risk coefficients, and bias correction factors during multiple Monte Carlo realizations of the life table.http://www.sciencedirect.com/science/article/pii/S2405844015302942Mathematical simulationEpidemiology of cancerRadiation biology
collection DOAJ
language English
format Article
sources DOAJ
author Leif E. Peterson
Tatiana Kovyrshina
spellingShingle Leif E. Peterson
Tatiana Kovyrshina
Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification
Heliyon
Mathematical simulation
Epidemiology of cancer
Radiation biology
author_facet Leif E. Peterson
Tatiana Kovyrshina
author_sort Leif E. Peterson
title Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification
title_short Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification
title_full Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification
title_fullStr Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification
title_full_unstemmed Adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification
title_sort adjustment of lifetime risks of space radiation-induced cancer by the healthy worker effect and cancer misclassification
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2015-12-01
description Background. The healthy worker effect (HWE) is a source of bias in occupational studies of mortality among workers caused by use of comparative disease rates based on public data, which include mortality of unhealthy members of the public who are screened out of the workplace. For the US astronaut corp, the HWE is assumed to be strong due to the rigorous medical selection and surveillance. This investigation focused on the effect of correcting for HWE on projected lifetime risk estimates for radiation-induced cancer mortality and incidence. Methods. We performed radiation-induced cancer risk assessment using Poisson regression of cancer mortality and incidence rates among Hiroshima and Nagasaki atomic bomb survivors. Regression coefficients were used for generating risk coefficients for the excess absolute, transfer, and excess relative models. Excess lifetime risks (ELR) for radiation exposure and baseline lifetime risks (BLR) were adjusted for the HWE using standardized mortality ratios (SMR) for aviators and nuclear workers who were occupationally exposed to ionizing radiation. We also adjusted lifetime risks by cancer mortality misclassification among atomic bomb survivors. Results. For all cancers combined (“Nonleukemia”), the effect of adjusting the all-cause hazard rate by the simulated quantiles of the all-cause SMR resulted in a mean difference (not percent difference) in ELR of 0.65% and mean difference of 4% for mortality BLR, and mean change of 6.2% in BLR for incidence. The effect of adjusting the excess (radiation-induced) cancer rate or baseline cancer hazard rate by simulated quantiles of cancer-specific SMRs resulted in a mean difference of −1.2% in the all-cancer mortality ELR and mean difference of −6.4% in the mortality BLR. Whereas for incidence, the effect of adjusting by cancer-specific SMRs resulted in a mean change of −14.4% for the all-cancer BLR. Only cancer mortality risks were adjusted by simulated quantiles for misclassification, and results indicate a mean change of 1.1% for all-cancer mortality ELR, while the mean change in the all-cancer PC was approximately 4% for males and 6% for females. Conclusions. The typical life table approach for projecting lifetime risk of radiation-induced cancer mortality and incidence for astronauts and radiation workers can be improved by adjusting for HWE while simulating the uncertainty of input rates, input excess risk coefficients, and bias correction factors during multiple Monte Carlo realizations of the life table.
topic Mathematical simulation
Epidemiology of cancer
Radiation biology
url http://www.sciencedirect.com/science/article/pii/S2405844015302942
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