Textielwerkers uit South Carolina die met chrysotiel (wit) asbest hebben gewerkt hebben vaker dan gemiddeld longkanker. Hein et al. constateerden bovendien een sterk verband tussen de mate van blootstelling en het aantal sterfgevallen aan longkanker en asbestose. Zij onderzochten de sterftecijfers tot 2001 van bijna 3100 ex-werknemers die tussen 1940 en 1975 tenminste ëën maand productiewerk hadden gedaan. Bron: Hein, M.J. et al. (2007). Follow-up study of chrysotile textile workers: cohort mortality and exposure-response. Bron: OEM online 20 april, doi:10.1136/oem.2006.031005.
Hein, M.J. et al. (2007). Follow-up study of chrysotile textile workers: cohort mortality and exposure-response. Bron: OEM online 20 april, doi:10.1136/oem.2006.031005.
ABSTRACT
Objectives
This report provides an update of the mortality experience of a cohort of South Carolina asbestos textile workers.
Methods
A cohort of 3,072 workers exposed to chrysotile in a South Carolina asbestos textile plant (1916-1977) was followed up for mortality through 2001. Standardized mortality ratios (SMRs) were computed using U.S. and South Carolina mortality rates. A
job exposure matrix provided calendar time dependent estimates of chrysotile exposure concentrations. Poisson regression models were fitted for lung cancer and asbestosis. Covariates considered included sex, race, age, calendar time, birth cohort, and time since
first exposure. Cumulative exposure lags of 5 and 10 years were considered by disregarding exposure in the most recent 5 and 10 years, respectively.
Results
A majority of the cohort was deceased (64%) and 702 of the 1,961 deaths occurred since the previous update. Mortality was elevated based on U.S. referent rates for a priori causes of interest including all causes combined (SMR 1.33, 95% confidence interval (CI) 1.28-1.39). all cancers (SMR 1.27, 95% CI 1.16-1.39). esophageal cancer (SMR 1.87, 95% CI 1.09-2.99). lung cancer (SMR 1.95, 95% CI 1.68-2.24). ischemic heart disease (SMR 1.20, 95% CI 1.10-1.32). and pneumoconiosis and other respiratory
diseases (SMR 4.81, 95% CI 3.84-5.94). Mortality remained elevated for these causes when South Carolina referent rates were used. Three cases of mesothelioma were observed among cohort members. Exposure-response modeling for lung cancer, using a linear relative risk model, produced a slope coefficient of 0.0198 (fiber-years/ml)-1 (standard error 0.00496), when cumulative exposure was lagged 10 years. Poisson regression modeling confirmed significant positive relationships between estimated
chrysotile exposure and lung cancer and asbestosis mortality observed in previous updates of this cohort.
ConclusionsThis study confirms the findings from previous investigations of excess mortality from lung cancer and asbestosis and a strong exposure-response relationship between estimated exposure to chrysotile and mortality from lung cancer and asbestosis.