Choi Sangjun, Kang Dongmug, Park Donguk, Lee Hyunhee, Choi Bongkyoo
Department of Occupational Health, Catholic University of Daegu, Geyonsangbukdo, Republic of Korea; Center for Occupational and Environmental Health, University of California, Irvine, CA, USA.
Department of Occupational and Environment Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea.
Saf Health Work. 2017 Mar;8(1):105-115. doi: 10.1016/j.shaw.2016.09.002. Epub 2016 Sep 29.
The goal of this study is to develop a general population job-exposure matrix (GPJEM) on asbestos to estimate occupational asbestos exposure levels in the Republic of Korea.
Three Korean domestic quantitative exposure datasets collected from 1984 to 2008 were used to build the GPJEM. Exposure groups in collected data were reclassified based on the current Korean Standard Industrial Classification (9 edition) and the Korean Standard Classification of Occupations code (6 edition) that is in accordance to international standards. All of the exposure levels were expressed by weighted arithmetic mean (WAM) and minimum and maximum concentrations.
Based on the established GPJEM, the 112 exposure groups could be reclassified into 86 industries and 74 occupations. In the 1980s, the highest exposure levels were estimated in "knitting and weaving machine operators" with a WAM concentration of 7.48 fibers/mL (f/mL); in the 1990s, "plastic products production machine operators" with 5.12 f/mL, and in the 2000s "detergents production machine operators" handling talc containing asbestos with 2.45 f/mL. Of the 112 exposure groups, 44 groups had higher WAM concentrations than the Korean occupational exposure limit of 0.1 f/mL.
The newly constructed GPJEM which is generated from actual domestic quantitative exposure data could be useful in evaluating historical exposure levels to asbestos and could contribute to improved prediction of asbestos-related diseases among Koreans.
本研究的目的是开发一个关于石棉的一般人群工作暴露矩阵(GPJEM),以估计韩国的职业石棉暴露水平。
使用1984年至2008年收集的三个韩国国内定量暴露数据集来构建GPJEM。根据当前符合国际标准的韩国标准产业分类(第9版)和韩国标准职业分类代码(第6版),对收集数据中的暴露组进行重新分类。所有暴露水平均以加权算术平均值(WAM)以及最低和最高浓度表示。
基于已建立的GPJEM,112个暴露组可重新分类为86个行业和74个职业。在20世纪80年代,估计“针织和编织机操作员”的暴露水平最高,WAM浓度为7.48纤维/毫升(f/mL);在20世纪90年代,“塑料制品生产机器操作员”的暴露水平为5.12 f/mL,在21世纪,“处理含石棉滑石粉的洗涤剂生产机器操作员”的暴露水平为2.45 f/mL。在112个暴露组中,有44个组的WAM浓度高于韩国职业暴露限值0.1 f/mL。
新构建的GPJEM由实际国内定量暴露数据生成,可用于评估石棉的历史暴露水平,并有助于改进对韩国人石棉相关疾病的预测。