首页> 外文期刊>Occupational and environmental medicine >Estimates of historical exposures by phase contrast and transmission electron microscopy for pooled exposure--response analyses of North Carolina and South Carolina, USA asbestos textile cohorts.
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Estimates of historical exposures by phase contrast and transmission electron microscopy for pooled exposure--response analyses of North Carolina and South Carolina, USA asbestos textile cohorts.

机译:通过相衬对比度和透射电子显微镜对历史暴露进行估计,以评估合并暴露-美国北卡罗来纳州和南卡罗来纳州石棉纺织队列的响应分析。

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OBJECTIVES: To develop pooled size-specific asbestos fiber exposure estimates for North Carolina and South Carolina asbestos textile plants. METHODS: Airborne sample data and prior exposure estimates by phase-contrast microscopy (PCM) for the two cohorts were reviewed and compared. Estimates by transmission electron microscopy (TEM) for 160 membrane filter samples from all plant were pooled. Poisson regression models were developed to predict bivariate diameter/length airborne fiber size distributions based on independent categorical variables for fiber diameter, fiber length, plant, and exposure zone. The model predicted bivariate diameter/length distributions were expressed as the proportion of fibers in 28 size-specific cells and these data were used to calculate PCM to TEM adjustment factors in order to estimate fiber size-specific exposures for the pooled cohort. RESULTS: Exposure levels in the North Carolina plants were in excess of 50 f/cc for many operations through about 1955 owing to lack of dust control measures in early years whereas levels in the South Carolina plant were generally less than 10 f/cc by about 1950. The Poisson regression models found covariates for plant department to be a stronger predictor of bivariate size proportions than plant; however, a plant effect was observed. The final Poisson models demonstrated good fit to the observed data. CONCLUSIONS: Consistent with early studies, fiber exposures in the North Carolina plants were much higher than in South Carolina plant. Use of the predicted size-specific TEM exposures by plant and department based on the Poisson model predictions should reduce exposure.
机译:目的:为北卡罗莱纳州和南卡罗来纳州的石棉纺织厂开发汇总的尺寸特定的石棉纤维暴露量估计值。方法:回顾并比较了两个队列的航空样本数据和通过相差显微镜(PCM)进行的先前暴露估计。汇集通过透射电子显微镜(TEM)估算的来自所有植物的160个膜过滤器样品。基于泊松直径,纤维长度,植物和暴露区域的独立分类变量,开发了泊松回归模型来预测空气变量的直径/长度双变量。模型预测的双变量直径/长度分布表示为28个尺寸特定的细胞中纤维的比例,这些数据用于计算PCM对TEM的调节因子,以估算合并队列的纤维尺寸特定的暴露量。结果:由于早年缺乏防尘措施,直到大约1955年,北卡罗莱纳州工厂的许多操作的暴露水平都超过50 f / cc,而南卡罗莱纳州工厂中的暴露水平通常低于10 f / cc。 1950年。泊松回归模型发现,植物部门的协变量比植物更能预测双变量的大小比例。然而,观察到植物效应。最终的泊松模型证明与观测数据非常吻合。结论:与早期研究一致,北卡罗莱纳州工厂的纤维暴露远高于南卡罗莱纳州工厂。工厂和部门根据泊松模型预测使用预测的特定于尺寸的TEM暴露量应减少暴露量。

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