Approaches to Calculation of Average Exposure in Analysis of Epidemiologic Cohorts Using Large Arylonitrile Cohort As An Example

L. Kopylev
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引用次数: 1

Abstract

ȠObjectives: To explore two different approaches to calculate average exposure in occupational cohorts using a large occupational cohort as an example. The data for occupational cohort exposed to acrylonitrile was collected and analyzed previously by NCI; outcome was lung cancer. Methods: Both approaches use cumulative exposure as the numerator. As the denominator, one uses the duration of exposure, while the other uses the length of employment. The former approach is used when detailed exposure history is available, and the latter is used when exposure history is less detailed. The differences are investigated for a large occupational cohort. Results: With restricting the cohort to only those with enough latency for lung cancer, the cumulative exposure divided by the length of employment is a significant predictor of the lung cancer mortality, while cumulative exposure divided by the duration of exposure (average intensity) is not. Analysis is shown not to be positively confounded by smoking.
流行病学队列分析中平均暴露量的计算方法——以大丙烯腈队列为例
ȠObjectives:以大型职业队列为例,探讨计算职业队列平均暴露的两种不同方法。NCI先前收集并分析了丙烯腈暴露职业队列的数据;结果是肺癌。方法:两种方法均以累积暴露量为分子。一个用暴露时间作为分母,另一个用工作时间作为分母。前一种方法在有详细的曝光史时使用,后一种方法在曝光史不太详细时使用。在一个大的职业队列中调查了这些差异。结果:通过将队列限制在具有足够肺癌潜伏期的人群中,累积暴露量除以工作时间是肺癌死亡率的显著预测因子,而累积暴露量除以暴露时间(平均强度)不是肺癌死亡率的显著预测因子。分析结果表明,吸烟不会明显影响结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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