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Evaluating beryllium exposure data.

机译:评估铍暴露数据。

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We read with great interest "ChronicBeryllium Disease and Sensitization at a Beryllium Processing Facility" (Rosenman et al. 2005). We wish to offer some observations that will broaden the context in which this article is understood.I agree with the statement by Rosenman et al. (2005) that a limitation of the study is the uncertainty of the exposure estimates. In addition, many statements appear to be unsupported by the data provided. For example, the statement that "most time-weighted averages were below the [Occupational Safety and Health Administration] OSHA (2005) standard of 2 mug/m~3" (Rosenman et al. 2005) is unsupported by the data in the tables. Table 11 demonstrates that > 91% of the cohort had average daily weighted average (DWA) exposures > 2 mug/m~3. Table 12 presents only the highest exposures and shows 56% of the cohort members having exposures > 2 mug/m~3 and all but two cohort members exposed to > 0.2 mug/m~3. Rosenman et al. (2005) did not explain how the average exposures of the cohort exceed 2 mug/m~3 at a rate greater than the peak exposures. This same mysterious artifact of average exposures exceeding peak exposures is also present in Tables 9 and 10. The exposure-estimating process used by these authors could have introduced an erroneous bias in the data set, which causes me to question the "Discussion" and the conclusions drawn from the data.
机译:我们非常感兴趣地阅读了“铍加工设施中的慢性铍病和致敏作用”(Rosenman等人,2005年)。我们希望提供一些意见,以拓宽本文的理解背景。我同意Rosenman等人的说法。 (2005年),该研究的局限性是暴露估计的不确定性。此外,提供的数据似乎不支持许多语句。例如,表中的数据不支持“大多数时间加权平均值低于2杯/米〜3的[职业安全与健康管理局] OSHA(2005)标准”(Rosenman等人2005)的说法。 。表11表明,该队列中> 91%的人的平均每日加权平均(DWA)暴露> 2杯/ m〜3。表12仅列出了最高暴露量,并显示56%的同类成员暴露量> 2杯/ m〜3,除两个同类成员外,所有成员均暴露于> 0.2杯/ m〜3。 Rosenman等。 (2005年)没有解释该队列的平均暴露如何以大于峰值暴露的速率超过2个大杯/ m〜3。表9和表10还显示了平均暴露量超过峰值暴露量的同样神秘的假象。这些作者使用的暴露量估算过程可能在数据集中引入了错误的偏差,这使我质疑“讨论”和从数据得出的结论。

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