Department of Environmental and Occupational Health, School of Public Health, Université de Montréal, chemin de la Côte Ste-Catherine, Montréal, Québec, Canada.
Centre de recherche du CHUM, rue St-Denis, Montréal, Québec, Canada.
Ann Work Expo Health. 2018 Aug 13;62(7):783-795. doi: 10.1093/annweh/wxy044.
OBJECTIVES: We developed a job-exposure matrix called CANJEM using data generated in population-based case-control studies of cancer. This article describes some of the decisions in developing CANJEM, and some of its performance characteristics. METHODS: CANJEM is built from exposure information from 31673 jobs held by study subjects included in our past case-control studies. For each job, experts had evaluated the intensity, frequency, and likelihood of exposure to a predefined list of agents based on jobs histories and descriptions of tasks and workplaces. The creation of CANJEM involved a host of decisions regarding the structure of CANJEM, and operational decisions regarding which parameters to present. The goal was to produce an instrument that would provide great flexibility to the user. In addition to describing these decisions, we conducted analyses to assess how well CANJEM covered the range of occupations found in Canada. RESULTS: Even at quite a high level of resolution of the occupation classifications and time periods, over 90% of the recent Canadian working population would be covered by CANJEM. Prevalence of exposure of specific agents in specific occupations ranges from 0% to nearly 100%, thereby providing the user with basic information to discriminate exposed from unexposed workers. Furthermore, among exposed workers there is information that can be used to discriminate those with high exposure from those with low exposure. CONCLUSIONS: CANJEM provides good coverage of the Canadian working population and possibly that of several other countries. Available in several occupation classification systems and including 258 agents, CANJEM can be used to support exposure assessment efforts in epidemiology and prevention of occupational diseases.
目的:我们利用基于人群的癌症病例对照研究中产生的数据开发了一个名为 CANJEM 的工作暴露矩阵。本文描述了开发 CANJEM 过程中的一些决策以及其性能特征。
方法:CANJEM 是基于我们过去的病例对照研究中包含的 31673 个研究对象的工作暴露信息构建的。对于每个工作,专家们根据工作历史和工作场所的任务描述,评估了暴露于预定义清单中代理的强度、频率和可能性。CANJEM 的创建涉及到有关 CANJEM 结构的一系列决策,以及有关要呈现哪些参数的操作决策。目标是生产一种为用户提供极大灵活性的工具。除了描述这些决策之外,我们还进行了分析以评估 CANJEM 如何涵盖加拿大发现的各种职业范围。
结果:即使在职业分类和时间段的分辨率相当高的情况下,CANJEM 也可以覆盖超过 90%的最近加拿大劳动人口。特定职业中特定代理的暴露率从 0%到近 100%不等,从而为用户提供了基本信息,以区分暴露和未暴露的工人。此外,在暴露的工人中,还有可以用来区分高暴露和低暴露工人的信息。
结论:CANJEM 很好地涵盖了加拿大劳动人口,并且可能还涵盖了其他几个国家的劳动人口。CANJEM 有几种职业分类系统可供使用,包含 258 种代理,可以用于支持流行病学中的暴露评估工作和职业病的预防。
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