背景:系统,透明,并开发了数据驱动的方法来估计暴露于直线的频率和强度,可溶性,和合成/半合成金属加工液(MWFs)在新英格兰膀胱癌的病例对照研究中。
方法:我们尽可能使用来自特定工作问卷的个人水平信息评估频率,然后导出作业组级别的模式,并将其应用于具有较少信息的可能暴露的作业。使用从已发表文献中提取的测量和决定因素开发的统计模型来计算强度估计值。
结果:对于暴露概率≥0.5的工作,中位频率为8-10小时/周,根据MWF类型。这些工作的平均强度分别为2.5、2.1和1.0mg/m3的可溶物,直,和合成/半合成MWF,分别。
结论:与个案评估相比,这些数据驱动的决策规则是透明和可重复的,并且可能导致较少偏差的估计.这些规则还可以帮助未来在基于人群的研究中对MWF的暴露评估。
BACKGROUND: A systematic, transparent, and data-driven approach was developed to estimate frequency and intensity of exposure to straight, soluble, and synthetic/semi-synthetic metalworking fluids (MWFs) within a
case-control study of bladder cancer in New England.
METHODS: We assessed frequency using individual-level information from job-specific questionnaires wherever possible, then derived and applied job group-level patterns to likely exposed jobs with less information. Intensity estimates were calculated using a statistical model developed from measurements and determinants extracted from the published literature.
RESULTS: For jobs with probabilities of exposure≥0.5, median frequencies were 8-10 hr/week, depending on MWF type. Median intensities for these jobs were 2.5, 2.1, and 1.0 mg/m3 for soluble, straight, and synthetic/semi-synthetic MWFs, respectively.
CONCLUSIONS: Compared to
case-by-
case assessment, these data-driven decision rules are transparent and reproducible and may result in less biased estimates. These rules can also aid future exposure assessments of MWFs in population-based studies.