Enterline P E
Environ Health Perspect. 1981 Dec;42:39-44. doi: 10.1289/ehp.814239.
Extrapolation from occupational data to general environmental exposures gives some interesting results, and these results might be useful in our decision-making process. These results could never be observed by environmental epidemiology and this method probably represents the only way of quantifying the health effects of low-exposure levels. Three linear models for extrapolating to low levels are presented--one from Canadian data, one from American data and one from British data. One or more of these is applied to two recently publicized asbestos exposures; exposures resulting from asbestos heat shields in hair dryers and exposures in public school buildings. Predictions are derived as to the effects of asbestos exposures on cancer mortality. A comparison is made between predictions made on the basis of a linear and nonlinear model.
从职业数据外推至一般环境暴露得出了一些有趣的结果,这些结果可能在我们的决策过程中有用。环境流行病学永远无法观察到这些结果,而这种方法可能是量化低暴露水平对健康影响的唯一途径。本文提出了三种用于外推至低水平的线性模型——一种来自加拿大数据,一种来自美国数据,一种来自英国数据。其中一个或多个模型应用于最近公布的两起石棉暴露事件;吹风机中石棉隔热罩导致的暴露以及公立学校建筑中的暴露。得出了关于石棉暴露对癌症死亡率影响的预测。对基于线性模型和非线性模型所做的预测进行了比较。