【24h】

Lessons Learned from Trying to Set Guidance Values Using Human Studies

机译:尝试通过人类研究设定指导价值的经验教训

获取原文

摘要

The research focus for occupational epidemiologists is safety. How can our study subjects work safely? Guidance values are established to protect employees and the general population(s). Examples of these environmental "exposures" can include uneven surfaces, physical exertion, repetition, temperature extremes, and contact with a chemical. Regulatory bodies use data from multiple disciplines to set a number, a guidance value, to inform protective practices and legal uses. Epidemiology studies, while well suited to evaluate human health and contribute to this process, often fall short in this risk assessment process. Several observations will be discussed. First, qualitative estimates such as low vs. high, and regression coefficients are not designed to test whether a unit value is protective. Second, exposure estimates are rarely harmonized across epidemiology studies, (i.e. using the same categories for low vs. high), or across disciplines (i.e. using dose in mg/kg/day vs. concentration in ug/l). Lastly, recommendations to improve the quality, reliability and validity of exposure data for risk assessment have been promulgated but not embraced by the epidemiology community due to feasibility, as one example. Before making additional recommendations, we first need to identify and resolve barriers to be successful in changing the status quo.
机译:职业流行病学家的研究重点是安全性。我们的学习科目如何安全地工作?建立指导值以保护员工和一般人群。这些环境“暴露”的示例可以包括不平坦的表面,体力消耗,重复,极端温度以及与化学物质的接触。监管机构使用来自多个学科的数据来设置数字(指导值),以告知保护措施和法律用途。流行病学研究虽然非常适合评估人类健康并对此过程做出了贡献,但在该风险评估过程中往往不尽人意。将讨论几个观察结果。首先,定性估计(例如,低与高)以及回归系数并非旨在测试单位值是否具有保护性。其次,在流行病学研究中(即对低或高使用相同的类别)或跨学科(即以mg / kg /天的剂量相对于ug / l的浓度使用),接触估计很少得到统一。最后,作为一个例子,流行病学界已经提出了提高风险评估暴露数据的质量,可靠性和有效性的建议,但由于其可行性,并未被流行病学界接受。在提出其他建议之前,我们首先需要确定并解决成功改变现状的障碍。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号