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Meta-Analysis of Job Exposure Matrix Data from Multiple Sources
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5 2018
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Source: J Expo Sci Environ Epidemiol. 28(3):259-274
[PDF-1.06 MB]
Details:
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Alternative Title:J Expo Sci Environ Epidemiol
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Description:Objectives:
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.
Methods:
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.
Results:
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.
Conclusions:
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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Pubmed ID:28975928
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Pubmed Central ID:PMC9936531
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Volume:28
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Issue:3
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