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两个法国职业暴露数据库COLCHIC和SCOLA的描述性分析与比较。

Descriptive analysis and comparison of two French occupational exposure databases: COLCHIC and SCOLA.

作者信息

Mater Gautier, Paris Christophe, Lavoué Jérôme

机构信息

Department of Pollutants Metrology, Institut National de Recherche et de Sécurité (INRS), Vandœuvre-lès-Nancy, France.

Department of Occupational Diseases-INGRES EA7298, Centre Hospitalier Régional Universitaire de Nancy (CHRU), Vandœuvre-lès-Nancy, France.

出版信息

Am J Ind Med. 2016 May;59(5):379-91. doi: 10.1002/ajim.22569. Epub 2016 Feb 22.

DOI:10.1002/ajim.22569
PMID:26901238
Abstract

BACKGROUND

Several countries have built databases of occupational hygiene measurements. In France, COLCHIC and SCOLA co-exist, started in 1987 and 2007, respectively.

METHODS

A descriptive comparison of the content of the two databases was carried out during the period 1987-2012, including variables, workplaces and agents, as well as exposure levels.

RESULTS

COLCHIC and SCOLA contain, respectively, 841,682 (670 chemicals) and 152,486 records (70). They cover similar industries and occupations, and contain the same ancillary information. Across 17 common agents with >500 samples, the ratio of the median concentration in COLCHIC to the median concentration in SCOLA was 3.45 [1.03-14.3] during 2007-2012. This pattern remained when stratified by industry, task, and occupation, but was attenuated when restricted to similar sampling duration.

CONCLUSIONS

COLCHIC and SCOLA represent a considerable source of information, but result from different purposes (prevention, regulatory). Potential differences due to strategies should evaluated when interpreting data from these databases.

摘要

背景

多个国家已建立职业卫生测量数据库。在法国,COLCHIC和SCOLA并存,分别始于1987年和2007年。

方法

在1987 - 2012年期间对两个数据库的内容进行了描述性比较,包括变量、工作场所和介质,以及暴露水平。

结果

COLCHIC和SCOLA分别包含841,682条记录(670种化学品)和152,486条记录(70种)。它们涵盖相似的行业和职业,并包含相同的辅助信息。在2007 - 2012年期间,对于17种有超过500个样本的常见介质,COLCHIC中的中位数浓度与SCOLA中的中位数浓度之比为3.45 [1.03 - 14.3]。按行业、任务和职业分层时这种模式依然存在,但在限制为相似采样持续时间时这种差异减弱。

结论

COLCHIC和SCOLA是相当可观的信息来源,但源于不同目的(预防、监管)。在解释来自这些数据库的数据时,应评估因策略不同而产生的潜在差异。

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