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本文引用的文献

1
Modelling of occupational respirable crystalline silica exposure for quantitative exposure assessment in community-based case-control studies.基于社区的病例对照研究中用于定量暴露评估的职业性可吸入结晶二氧化硅暴露建模。
J Environ Monit. 2011 Nov;13(11):3262-8. doi: 10.1039/c1em10628g. Epub 2011 Oct 14.
2
Development of an exposure measurement database on five lung carcinogens (ExpoSYN) for quantitative retrospective occupational exposure assessment.建立一个关于五种肺癌致癌物的暴露测量数据库(ExpoSYN),用于定量回顾性职业暴露评估。
Ann Occup Hyg. 2012 Jan;56(1):70-9. doi: 10.1093/annhyg/mer081. Epub 2011 Oct 11.
3
Combining a job-exposure matrix with exposure measurements to assess occupational exposure to benzene in a population cohort in shanghai, china.结合工作暴露矩阵与暴露测量来评估中国上海某人群队列中苯的职业暴露情况。
Ann Occup Hyg. 2012 Jan;56(1):80-91. doi: 10.1093/annhyg/mer080. Epub 2011 Oct 5.
4
Statistical modeling to determine sources of variability in exposures to welding fumes.用于确定焊接烟尘暴露变异性来源的统计建模。
Ann Occup Hyg. 2011 Apr;55(3):305-18. doi: 10.1093/annhyg/meq088. Epub 2011 Feb 25.
5
Silica exposure assessment in a mortality study of Vermont granite workers.在佛蒙特州花岗岩工人死亡率研究中对二氧化硅暴露的评估。
J Occup Environ Hyg. 2011 Feb;8(2):71-9. doi: 10.1080/15459624.2011.543409.
6
Exposure to diesel motor exhaust and lung cancer risk in a pooled analysis from case-control studies in Europe and Canada.暴露于柴油机废气与欧洲和加拿大病例对照研究中的肺癌风险的汇总分析。
Am J Respir Crit Care Med. 2011 Apr 1;183(7):941-8. doi: 10.1164/rccm.201006-0940OC. Epub 2010 Oct 29.
7
The Diesel Exhaust in Miners Study: IV. Estimating historical exposures to diesel exhaust in underground non-metal mining facilities.矿工柴油废气研究:IV. 估算地下非金属采矿设施中柴油废气的历史暴露量。
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8
The diesel exhaust in miners study: I. Overview of the exposure assessment process.矿工中的柴油废气研究:I. 暴露评估过程概述。
Ann Occup Hyg. 2010 Oct;54(7):728-46. doi: 10.1093/annhyg/meq022. Epub 2010 Sep 27.
9
Comparison of exposure assessment methods for occupational carcinogens in a multi-centre lung cancer case-control study.多中心肺癌病例对照研究中职业致癌物暴露评估方法的比较。
Occup Environ Med. 2011 Feb;68(2):148-53. doi: 10.1136/oem.2010.055608. Epub 2010 Sep 24.
10
Quantitative crystalline silica exposure assessment for a historical cohort epidemiologic study in the German porcelain industry.对德国陶瓷工业历史队列流行病学研究中定量结晶二氧化硅暴露的评估。
J Occup Environ Hyg. 2010 Sep;7(9):516-28. doi: 10.1080/15459624.2010.487789.

用于社区研究的定量工作暴露矩阵(SYN-JEM)暴露估计值的敏感性分析。

Sensitivity analyses of exposure estimates from a quantitative job-exposure matrix (SYN-JEM) for use in community-based studies.

作者信息

Peters Susan, Kromhout Hans, Portengen Lützen, Olsson Ann, Kendzia Benjamin, Vincent Raymond, Savary Barbara, Lavoué Jérôme, Cavallo Domenico, Cattaneo Andrea, Mirabelli Dario, Plato Nils, Fevotte Joelle, Pesch Beate, Brüning Thomas, Straif Kurt, Vermeulen Roel

机构信息

Environmental Epidemiology Division, Institute for Risk Assessment Sciences, Utrecht University, 3584 CK Utrecht, The Netherlands.

出版信息

Ann Occup Hyg. 2013 Jan;57(1):98-106. doi: 10.1093/annhyg/mes045. Epub 2012 Jul 17.

DOI:10.1093/annhyg/mes045
PMID:22805750
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3589949/
Abstract

OBJECTIVES

We describe the elaboration and sensitivity analyses of a quantitative job-exposure matrix (SYN-JEM) for respirable crystalline silica (RCS). The aim was to gain insight into the robustness of the SYN-JEM RCS estimates based on critical decisions taken in the elaboration process.

METHODS

SYN-JEM for RCS exposure consists of three axes (job, region, and year) based on estimates derived from a previously developed statistical model. To elaborate SYN-JEM, several decisions were taken: i.e. the application of (i) a single time trend; (ii) region-specific adjustments in RCS exposure; and (iii) a prior job-specific exposure level (by the semi-quantitative DOM-JEM), with an override of 0 mg/m(3) for jobs a priori defined as non-exposed. Furthermore, we assumed that exposure levels reached a ceiling in 1960 and remained constant prior to this date. We applied SYN-JEM to the occupational histories of subjects from a large international pooled community-based case-control study. Cumulative exposure levels derived with SYN-JEM were compared with those from alternative models, described by Pearson correlation ((Rp)) and differences in unit of exposure (mg/m(3)-year). Alternative models concerned changes in application of job- and region-specific estimates and exposure ceiling, and omitting the a priori exposure ranking.

RESULTS

Cumulative exposure levels for the study subjects ranged from 0.01 to 60 mg/m(3)-years, with a median of 1.76 mg/m(3)-years. Exposure levels derived from SYN-JEM and alternative models were overall highly correlated (R(p) > 0.90), although somewhat lower when omitting the region estimate ((Rp) = 0.80) or not taking into account the assigned semi-quantitative exposure level (R(p) = 0.65). Modification of the time trend (i.e. exposure ceiling at 1950 or 1970, or assuming a decline before 1960) caused the largest changes in absolute exposure levels (26-33% difference), but without changing the relative ranking ((Rp) = 0.99).

CONCLUSIONS

Exposure estimates derived from SYN-JEM appeared to be plausible compared with (historical) levels described in the literature. Decisions taken in the development of SYN-JEM did not critically change the cumulative exposure levels. The influence of region-specific estimates needs to be explored in future risk analyses.

摘要

目的

我们描述了一种用于可吸入结晶二氧化硅(RCS)的定量工作暴露矩阵(SYN-JEM)的制定及敏感性分析。目的是基于制定过程中做出的关键决策,深入了解SYN-JEM对RCS暴露估计的稳健性。

方法

基于先前开发的统计模型得出的估计值,RCS暴露的SYN-JEM由三个轴(工作、地区和年份)组成。为了制定SYN-JEM,做出了几个决策:即应用(i)单一时间趋势;(ii)RCS暴露的地区特定调整;以及(iii)先前特定工作的暴露水平(通过半定量DOM-JEM),对于先验定义为未暴露的工作,其暴露水平上限为0 mg/m³。此外,我们假设暴露水平在1960年达到上限,并在此日期之前保持不变。我们将SYN-JEM应用于一项大型国际基于社区的汇总病例对照研究中受试者的职业史。将SYN-JEM得出的累积暴露水平与替代模型得出的水平进行比较,通过Pearson相关性(Rp)和暴露单位(mg/m³-年)的差异来描述。替代模型涉及特定工作和地区估计以及暴露上限应用的变化,以及省略先验暴露排名。

结果

研究对象的累积暴露水平范围为0.01至60 mg/m³-年,中位数为1.76 mg/m³-年。SYN-JEM和替代模型得出的暴露水平总体高度相关(Rp>0.90),尽管在省略地区估计(Rp = 0.80)或不考虑指定的半定量暴露水平时(Rp = 0.65)相关性略低。时间趋势的改变(即1950年或1970年的暴露上限,或假设1960年之前暴露水平下降)导致绝对暴露水平的最大变化(差异为26 - 33%),但不改变相对排名(Rp = 0.99)。

结论

与文献中描述的(历史)水平相比,SYN-JEM得出的暴露估计似乎是合理的。在SYN-JEM开发过程中做出的决策并没有严重改变累积暴露水平。在未来的风险分析中需要探索地区特定估计的影响。