Locke Sarah J, Deziel Nicole C, Koh Dong-Hee, Graubard Barry I, Purdue Mark P, Friesen Melissa C
Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland.
Yale School of Public Health, Yale University, New Haven, Connecticut.
Am J Ind Med. 2017 Feb;60(2):189-197. doi: 10.1002/ajim.22679.
We evaluated predictors of differences in published occupational lead concentrations for activities disturbing material painted with or containing lead in U.S. workplaces to aid historical exposure reconstruction.
For the aforementioned tasks, 221 air and 113 blood lead summary results (1960-2010) were extracted from a previously developed database. Differences in the natural log-transformed geometric mean (GM) for year, industry, job, and other ancillary variables were evaluated in meta-regression models that weighted each summary result by its inverse variance and sample size.
Air and blood lead GMs declined 5%/year and 6%/year, respectively, in most industries. Exposure contrast in the GMs across the nine jobs and five industries was higher based on air versus blood concentrations. For welding activities, blood lead GMs were 1.7 times higher in worst-case versus non-worst case scenarios.
Job, industry, and time-specific exposure differences were identified; other determinants were too sparse or collinear to characterize. Am. J. Ind. Med. 60:189-197, 2017. © 2017 Wiley Periodicals, Inc.
我们评估了美国工作场所中涉及扰动含铅涂料或含铅材料的活动所公布的职业铅浓度差异的预测因素,以协助进行历史暴露重建。
针对上述任务,从先前建立的数据库中提取了221个空气铅和113个血铅汇总结果(1960 - 2010年)。在元回归模型中评估了年份、行业、工作及其他辅助变量的自然对数转换几何均值(GM)差异,该模型通过每个汇总结果的逆方差和样本量对其进行加权。
在大多数行业中,空气铅和血铅GM分别以每年5%和6%的速度下降。基于空气浓度与血铅浓度,九个工作岗位和五个行业的GM暴露对比更高。对于焊接活动,在最坏情况与非最坏情况场景下,血铅GM高出1.7倍。
确定了工作、行业和特定时间的暴露差异;其他决定因素过于稀少或共线性过高,无法进行特征描述。《美国工业医学杂志》60:189 - 197,2017年。© 2017威利期刊公司。