Lee-Feldstein A
Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor.
Am J Epidemiol. 1989 Jan;129(1):112-24. doi: 10.1093/oxfordjournals.aje.a115100.
To explore the relation between respiratory cancer mortality and exposure to airborne arsenic, methods of conditional logistic regression analysis are applied to a matched case-control study of copper smelter employees in Montana. With follow-up data for the period 1938-1977, several measures of arsenic exposure are compared. For men first employed prior to 1925, three measures--the category of maximum arsenic exposure, cumulative arsenic exposure, and time-weighted average arsenic exposure--are good predictors of respiratory cancer mortality. Within this group, there was a significantly elevated relative risk of respiratory cancer mortality associated with medium and heavy exposure to arsenic. For men first employed during 1925-1947, time-weighted average exposure to arsenic (adjusted for age at first employment) is the best predictor. In this group, men with heavy arsenic exposure and initially employed at 16.9 years had a relative risk of 6.0 in comparison to the baseline group with only light exposure to arsenic and initially employed at 31.9 years. No particular advantage is found in lagging exposures 10 years prior to death of the case in each matched set.
为探究呼吸道癌症死亡率与空气中砷暴露之间的关系,将条件逻辑回归分析方法应用于蒙大拿州铜冶炼厂员工的配对病例对照研究。利用1938 - 1977年期间的随访数据,对几种砷暴露指标进行了比较。对于1925年之前首次就业的男性,三种指标——最大砷暴露类别、累积砷暴露量和时间加权平均砷暴露量——是呼吸道癌症死亡率的良好预测指标。在该组中,与中度和重度砷暴露相关的呼吸道癌症死亡率相对风险显著升高。对于1925 - 1947年期间首次就业的男性,时间加权平均砷暴露量(根据首次就业时的年龄进行调整)是最佳预测指标。在该组中,与仅轻度砷暴露且首次就业年龄为31.9岁的基线组相比,重度砷暴露且首次就业年龄为16.9岁的男性相对风险为6.0。在每个配对组中,未发现将暴露时间滞后至病例死亡前10年有任何特别优势。