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三种暴露评估技术的评估与比较。

Evaluation and comparison of three exposure assessment techniques.

机构信息

Department of Occupational and Environmental Health Sciences, University of Washington, Seattle, Washington 98185-4695, USA.

出版信息

J Occup Environ Hyg. 2011 May;8(5):310-23. doi: 10.1080/15459624.2011.568832.

Abstract

This study was conducted to verify the performance of a recently developed subjective rating (SR) exposure assessment technique and to compare estimates made using this and two other techniques (trade mean, or TM, and task-based, or TB, approaches) to measured exposures. Subjects (n = 68) each completed three full-shift noise measurements over 4 months. Individual measured mean exposures were created by averaging each subject's repeated measurements, and TM, TB, and SR estimates were created using noise levels from worksites external to the current study. The bias, precision, accuracy, and absolute agreement of estimates created using the three techniques were evaluated by comparing estimated exposures with measured exposures. Trade mean estimates showed little bias, while neither the TM nor the SR techniques produced unbiased estimates, and the SR estimates showed the greatest bias of the three techniques. Accuracy was essentially equivalent among the three techniques. All three techniques showed poor agreement with measured exposures and were not highly correlated with each other. Estimates from the SR technique generally performed similarly to the TM and TB techniques. Methods to incorporate information from each technique into exposure estimates should be explored.

摘要

本研究旨在验证一种新开发的主观评分(SR)暴露评估技术的性能,并比较使用该技术与另外两种技术(贸易平均值,TM,和基于任务,TB,方法)对测量暴露的估计值。研究对象(n=68)每人在 4 个月内完成了三次完整轮班的噪声测量。通过平均每个受试者的重复测量值来创建个体测量的平均暴露值,并且使用当前研究以外的工作场所的噪声水平来创建 TM、TB 和 SR 估计值。通过将估计暴露值与测量暴露值进行比较,评估使用三种技术创建的估计值的偏差、精度、准确性和绝对一致性。贸易平均值估计值偏差较小,而 TM 和 SR 技术都没有产生无偏差的估计值,并且 SR 估计值表现出三种技术中最大的偏差。三种技术的准确性基本相当。三种技术与测量暴露值的一致性均较差,且彼此之间相关性不高。SR 技术的估计值通常与 TM 和 TB 技术的性能相似。应该探索将每种技术的信息纳入暴露估计值的方法。

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本文引用的文献

1
Improving exposure estimates by combining exposure information.通过整合暴露信息来改进暴露估计。
Ann Occup Hyg. 2011 Jun;55(5):537-47. doi: 10.1093/annhyg/mer011. Epub 2011 Apr 5.

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