Ellis K J, Cohn S H, Smith T J
J Toxicol Environ Health. 1985;15(1):173-87. doi: 10.1080/15287398509530644.
Cadmium exposure histories based on employment records, area monitoring techniques, and personal sampling data were obtained for 82 industrially exposed workers. From these data, a time-weighted cumulative exposure index (TWE) was calculated for each worker by multiplying the length of time (ti) in a given work area by the estimated exposure conditions for that area and year (Ei) and then summing these values for the total exposure history TWE = sigma iEiti The cadmium body burden for each worker was measured directly by the in vivo prompt-gamma neutron activation technique. The cadmium content of the left kidney and the liver were measured. For the actively employed workers, a significant correlation (r = 0.70, p less than 0.001) was observed between the exposure index (TWE) and the liver cadmium burden. Furthermore, whenever the worker's liver burden exceeded 40 ppm and the exposure index exceeded 400-500 micrograms/m3 X yr, there was evidence of renal abnormalities (usually elevated urinary beta 2-microglobulin). The highest correlation (r = 0.83, p less than 0.001) was obtained between the kidney cadmium burden data and the exposure index for the active workers without evidence of kidney dysfunction. The percentage of workers with renal abnormalities was found to increase as the exposure index increased. When this relationship was examined using linear logistic regression analysis, the following model was indicated: logit p = 1.24 In TWE--8.34 where p is the individual worker's probability of being classified as having renal dysfunction.
基于就业记录、区域监测技术和个人采样数据,获取了82名工业接触镉工人的接触史。根据这些数据,通过将某一工作区域的工作时长(ti)乘以该区域和年份的估计接触条件(Ei),然后将这些值相加得出总接触史,从而为每名工人计算出一个时间加权累积接触指数(TWE),即TWE = ∑iEiti。每名工人的镉体内负荷通过体内瞬发伽马中子活化技术直接测量。测量了左肾和肝脏的镉含量。对于在职工人,接触指数(TWE)与肝脏镉负荷之间存在显著相关性(r = 0.70,p < 0.001)。此外,每当工人的肝脏负荷超过40 ppm且接触指数超过400 - 500微克/立方米·年时,就有肾脏异常的证据(通常是尿β2-微球蛋白升高)。在没有肾功能障碍证据的在职工人中,肾脏镉负荷数据与接触指数之间的相关性最高(r = 0.83,p < 0.001)。发现有肾脏异常的工人百分比随着接触指数增加而上升。当使用线性逻辑回归分析检验这种关系时,得出以下模型:logit p = 1.24 ln TWE - 8.34,其中p是个体工人被归类为患有肾功能障碍的概率。