Suppr超能文献

评估 Stoffenmanager® 和 ART 估算挥发性液体职业吸入暴露的方法。

Evaluation of Stoffenmanager® and ART for Estimating Occupational Inhalation Exposures to Volatile Liquids.

机构信息

Field Studies Branch, Respiratory Health Division, National Institute for Occupational Safety and Health, 1095 Willowdale Road, Morgantown, WV, USA.

出版信息

Ann Work Expo Health. 2023 Mar 15;67(3):402-413. doi: 10.1093/annweh/wxac091.

Abstract

In practice, workers often handle the same chemical(s) of interest under different control measures (e.g. local ventilation, enclosed system) during a full shift. Stoffenmanager® allows users to predict either task-based or full-shift exposures. However, most previous studies evaluated the tool by comparing task-based exposures with measured exposures. Also, limited evaluation studies of the Advanced REACH Tool (ART) with the Bayesian approach (ART+B) are available, requiring additional evaluation studies. The performance of Stoffenmanager® and ART with and without the Bayesian approach was evaluated with measured full-shift exposures to volatile liquids in terms of accuracy, precision, and conservatism. Forty-two exposure situation scenarios (including 251 exposures), developed based on job tasks and chemicals handled during tasks from workplaces, were used to generate full-shift estimates. The estimates were then compared with measured exposures using various comparison methods. Overall, Stoffenmanager® appeared to be the most accurate among the testing tools, while ART+B was the most precise. The percentage of measured exposures exceeding the tools' 90th percentile estimates (%M>T) demonstrated that Stoffenmanager® (16%M>T) and ART+B (13%M>T) were more conservative than ART (41%M>T). When the 90% upper confidence limit of the 90th percentile estimate was considered, the level of conservatism changed from low (41%M>T) to medium (17%M>T) for ART and from medium (13%M>T) to high (0.8%M>T) for ART+B. The findings of this study indicate that no single tool would work for all ESs. Thus, it is recommended that users select a tool based on the performance results of three components (i.e. accuracy, precision, and conservatism), not depending on one or two components. The strength of this study is that the required tools' input parameters were obtained during the sample collection to minimize assumptions for many input parameters. In addition, unlike other previous studies, multiple subtasks, which happen often in workplaces, were incorporated in this study. Nevertheless, the present study did not cover all activities listed in the tools and was limited to volatile liquids, suggesting further studies cover other exposure categories (e.g. solid, metal) and diverse activities.

摘要

在实践中,工人在整个轮班期间经常在不同的控制措施(例如局部通风、封闭系统)下处理相同的化学物质。Stoffenmanager® 允许用户预测基于任务的暴露或整个轮班的暴露。然而,大多数先前的研究都是通过将基于任务的暴露与实测暴露进行比较来评估该工具。此外,可用的有限的高级 REACH 工具(ART)与贝叶斯方法(ART+B)的评估研究也需要进一步的评估研究。本研究通过测量挥发性液体的整个轮班暴露,评估了 Stoffenmanager® 和 ART 以及是否使用贝叶斯方法的准确性、精密度和保守性。根据工作场所的工作任务和处理的化学品,开发了 42 个暴露情况场景(包括 251 次暴露),用于生成整个轮班的估计值。然后使用各种比较方法将估计值与实测暴露值进行比较。总的来说,在测试工具中,Stoffenmanager® 似乎是最准确的,而 ART+B 是最精确的。实测暴露值超过工具第 90 百分位估计值的百分比(%M>T)表明,Stoffenmanager®(16%M>T)和 ART+B(13%M>T)比 ART(41%M>T)更保守。当考虑第 90 百分位估计值的 90%上限的置信上限时,ART 的保守性水平从低(41%M>T)变为中(17%M>T),而 ART+B 的保守性水平从中(13%M>T)变为高(0.8%M>T)。本研究的结果表明,没有单一的工具适用于所有 ES。因此,建议用户根据三个组件(即准确性、精密度和保守性)的性能结果选择工具,而不是依赖一个或两个组件。本研究的优势在于,所需工具的输入参数是在样本收集过程中获得的,以最大限度地减少许多输入参数的假设。此外,与其他先前的研究不同,本研究纳入了许多工作场所经常发生的多个子任务。然而,本研究并没有涵盖工具中列出的所有活动,而且仅限于挥发性液体,这表明需要进一步的研究涵盖其他暴露类别(例如固体、金属)和各种活动。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验