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1.
Occup Environ Med ; 78(2): 105-111, 2021 02.
Artigo em Inglês | MEDLINE | ID: mdl-32883719

RESUMO

OBJECTIVE: Linear and non-linear dose-response relationships between radiation absorbed dose to the lung from internally deposited uranium and external sources and circulatory system disease (CSD) mortality were examined in a cohort of 23 731 male and 5552 female US uranium enrichment workers. METHODS: Rate ratios (RRs) for categories of lung dose and linear excess relative rates (ERRs) per unit lung dose were estimated to evaluate the associations between lung absorbed dose and death from ischaemic heart disease (IHD) and cerebrovascular disease. RESULTS: There was a suggestion of modestly increased IHD risk in workers with internal uranium lung dose above 1 milligray (mGy) (RR=1.4, 95% CI 0.76 to 2.3) and a statistically significantly increased IHD risk with external dose exceeding 150 mGy (RR=1.3, 95% CI 1.1 to 1.6) compared with the lowest exposed groups. ERRs per milligray were positive for IHD and uranium internal dose and for both outcomes per gray external dose, although the CIs generally included the null. CONCLUSIONS: Non-linear dose-response models using restricted cubic splines revealed sublinear responses at lower internal doses, suggesting that linear models that are common in radioepidemiological cancer studies may poorly describe the association between uranium internal dose and CSD mortality.


Assuntos
Transtornos Cerebrovasculares/mortalidade , Isquemia Miocárdica/mortalidade , Doenças Profissionais/mortalidade , Exposição Ocupacional/efeitos adversos , Exposição à Radiação/efeitos adversos , Urânio , Adulto , Idoso , Transtornos Cerebrovasculares/etiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Isquemia Miocárdica/etiologia , Doenças Profissionais/etiologia , Fatores de Risco , Estados Unidos/epidemiologia
2.
Occup Environ Med ; 77(10): 706-712, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-32471836

RESUMO

OBJECTIVES: To improve exposure estimates and reexamine exposure-response relationships between cumulative styrene exposure and cancer mortality in a previously studied cohort of US boatbuilders exposed between 1959 and 1978 and followed through 2016. METHODS: Cumulative styrene exposure was estimated from work assignments and air-sampling data. Exposure-response relationships between styrene and select cancers were examined in Cox proportional hazards models matched on attained age, sex, race, birth cohort and employment duration. Models adjusted for socioeconomic status (SES). Exposures were lagged 10 years or by a period maximising the likelihood. HRs included 95% profile-likelihood CIs. Actuarial methods were used to estimate the styrene exposure corresponding to 10-4 extra lifetime risk. RESULTS: The cohort (n= 5163) contributed 201 951 person-years. Exposures were right-skewed, with mean and median of 31 and 5.7 ppm-years, respectively. Positive, monotonic exposure-response associations were evident for leukaemia (HR at 50 ppm-years styrene = 1.46; 95% CI 1.04 to 1.97) and bladder cancer (HR at 50 ppm-years styrene =1.64; 95% CI 1.14 to 2.33). There was no evidence of confounding by SES. A working lifetime exposure to 0.05 ppm styrene corresponded to one extra leukaemia death per 10 000 workers. CONCLUSIONS: The study contributes evidence of exposure-response associations between cumulative styrene exposure and cancer. Simple risk projections at current exposure levels indicate a need for formal risk assessment. Future recommendations on worker protection would benefit from additional research clarifying cancer risks from styrene exposure.


Assuntos
Neoplasias/mortalidade , Exposição Ocupacional/efeitos adversos , Navios/estatística & dados numéricos , Estireno/efeitos adversos , Adulto , Estudos de Coortes , Materiais de Construção/efeitos adversos , Materiais de Construção/estatística & dados numéricos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Neoplasias/epidemiologia , Exposição Ocupacional/estatística & dados numéricos , Modelos de Riscos Proporcionais , Fatores de Risco , Classe Social , Washington/epidemiologia , Local de Trabalho/normas , Local de Trabalho/estatística & dados numéricos
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