DEVELOPING A GENERAL POPULATION JOB EXPOSURE MATRIX FOR STUDIES OF WORK-RELATED MSD

为工作相关 MSD 研究制定一般人群工作暴露矩阵

• 批准号: 9186902
• 负责人: Bradley A Evanoff
• 金额: $ 32.26万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9186902
• 关键词: DEVELOPING; GENERAL; POPULATION; JOB; EXPOSURE

ABSTRACT Assessment of workplace physical exposures is a critical aspect of research into work-related musculoskeletal disorders (MSD) and other conditions that may be affected by workplace physical exposures, including vascular disease, pregnancy outcomes, cancers, and work disability. Job exposure matrices (JEMs) convert coded job titles into exposure estimates. While JEMs are frequently used in studies of occupational cancers, JEMs are underutilized to estimate workplace physical exposures in studies of musculoskeletal and other chronic diseases. In addition to their efficiency, JEMs have two additional advantages for such studies: they can decrease information bias between cases and non-cases, and they allow the estimation of exposure data when no such data are otherwise available. Using data from a recent large cohort of working age adults in France, our study will build a general population JEM to enable large-scale studies of associations between workplace physical exposures and chronic diseases; compare exposures derived from the French data to those from an American JEM; compare exposure estimates from both JEMs to observed exposures from a large American cohort study; validate the JEM in a French population dataset using known associations between physical exposures and MSD; and further validate JEM exposures by testing their ability to replicate known exposure response associations with incident upper extremity MSD in a large American cohort study. The overall goal of this study is to expand and validate the use of JEMs in order to provide the ability to add work exposures to the many US general population data sets that include health outcomes and job titles, but no other work exposure data. We will also create a French JEM that will greatly expand the ability of researchers to study the effects of workplace physical exposures on many health outcomes in an exciting new large longitudinal study of working age adults in France. This capability will spur additional studies of multiple health outcomes related to workplace physical exposures. Our proposed study is directly responsive to both strategic goals of the NORA Exposure Assessment Cross- Sector designated in the current NIOSH Priority Goals for Extramural Research: “Develop or improve exposure assessment strategies to understand and prevent work-related illnesses and injuries,” and “Develop or improve specific methods and tools to assess worker exposures to critical occupational agents and stressors.” The study is also relevant to goals of the NORA Musculoskeletal Disorders Program.

摘要 评估工作场所的身体接触是研究与工作有关的 肌肉骨骼疾病（MSD）和其他可能受工作场所影响的疾病 身体暴露，包括血管疾病、妊娠结局、癌症和工作 残疾。工作暴露矩阵（JEM）将编码的职称转换为暴露估计。而 JEM经常用于职业性癌症的研究，但未充分利用JEM来估计 在肌肉骨骼和其他慢性疾病研究中的工作场所物理暴露。在 除了它们的效率之外，JEM对于这样的研究还有两个额外的优点：它们可以 减少病例和非病例之间的信息偏差，并且它们允许估计 如果没有此类数据，则提供暴露数据。利用最近一次大型 在法国的工作年龄的成年人队列，我们的研究将建立一个一般人口JEM，使 关于工作场所身体接触与慢性 比较法国数据和美国JEM数据得出的暴露量; 将来自两个JEM的暴露估计值与来自一个大型美国 队列研究;使用已知关联在法国人群数据集中验证JEM 物理暴露和MSD之间的差异;并通过测试 能够复制已知的暴露反应与事件上肢MSD的相关性， 一项大型的美国队列研究 本研究的总体目标是扩展和验证JEM的使用，以便提供 能够将工作暴露添加到包括健康在内的许多美国普通人群数据集 结果和职位，但没有其他工作接触数据。我们还将建立一个法国正义与平等运动， 将大大扩展研究人员研究工作场所物理影响的能力， 在一项令人兴奋的新的工作年龄的大型纵向研究中， 法国的成年人这一能力将刺激更多的研究多种健康结果相关 工作场所的物理暴露。我们提议的研究直接响应战略和 当前NIOSH指定的诺拉跨部门暴露评估目标 校外研究的优先目标：“制定或改进暴露评估策略， 了解和预防与工作有关的疾病和伤害，”和“制定或改善具体的 评估工人暴露于关键职业因素和压力源的方法和工具。 这项研究也与诺拉肌肉骨骼疾病项目的目标有关。