Meta-analysis of job-exposure matrix data from multiple sources.
Meta-analysis of job-exposure matrix data from multiple sources.
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DOI：
10.1038/jes.2017.19
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发表时间：
2018-05
影响因子：
4.5
通讯作者：
Neitzel, Richard L.
中科院分区：
文献类型：
--
作者：
Cheng, Wenting;Roberts, Benjamin;Mukherjee, Bhramar;Neitzel, Richard L.
确定组成职业噪声暴露矩阵(JEM)的数据的异质性，并计算不同职称噪声暴露的汇总估计值。JEM是根据美国职业安全与健康管理局(OSHA)的标准收集噪声测量数据构建的，这些数据来自政府数据库、私营行业和已出版的文献。这些数据是使用美国标准职业分类(SOC)系统按职称组织的。使用文献中的数据作为先验，计算了政府和行业数据的调整后平均风险敞口。进行荟萃分析，以衡量数据的异质性，并计算每个SOC和SOC组的合并暴露估计。总共分析了259个SOC的715,867个噪声测量数据。以文献为依据，在政府和行业数据中的28个适用的SOC中，有14个调整后的平均暴露水平高于85 dBA的OSHA行动水平。荟萃分析显示，4%的SOC和25%的SOC组具有中到高度的异质性，54%的SOC和53%的SOC组被发现具有汇集的估计暴露>；85dBA。异质性的低水平表明，没有一个数据来源提供了与其他来源显著不同的测量结果。JEM的估计预测，在259个SOC中，有134个(51.7%)的工人暴露在噪声&85 dBA中。
To determine the heterogeneity of the data making up a job-exposure matrix (JEM) for occupational noise and to calculate pooled estimates for noise exposure for different job titles. The JEM was constructed by collecting noise measurement data – made according to the criteria of the US Occupational Safety and Health Administration (OSHA) – from government databases, private industry and the published literature. The data were organized by job title using the US Standard Occupational Classification (SOC) system. Using data from the literature as a prior, adjusted mean exposure was calculated for both the government and industry data. A meta-analysis was conducted to measure data heterogeneity and to calculate a pooled exposure estimate for each SOC and SOC group. In total, 715,867 noise measurements across 259 SOCs were analyzed. Using the literature as a prior, 14 out of the 28 applicable SOCs in both the government and industry data had adjusted mean exposures above the OSHA action level of 85 dBA. The meta-analysis showed that 4% of SOCs, and 25% of SOC groups, had moderate to high levels of heterogeneity, Fifty-four percent of the SOCs and 53% of the SOC groups were found to have a pooled estimated exposure >85 dBA. The low level of heterogeneity suggests that no one source of data contributed measurements that were significantly different from the other sources. The estimates from this JEM predict that workers in 134 out of 259 SOCs (51.7%) were exposed to noise >85 dBA.
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