AI Article Synopsis
- This study is the first large-scale assessment of mortality and cancer rates among workers in semiconductor and storage device manufacturing.
- Unique combinations of job codes and work history were analyzed to create work groups and exposure categories, allowing for a detailed comparison of worker exposure to harmful agents.
- The results identified 19 work groups and tracked over 310,000 job codes from 1965-1999, creating matrices to understand exposure to substances like solvents and metals during three distinct manufacturing eras.
Article Abstract
Objective: This exposure assessment was conducted in the first large study of mortality and cancer incidence in semiconductor and storage device manufacturing.
Methods: Unique combinations of division, department and job codes and names (DDJ) from work history records were assigned to work groups and exposure categories. Agent exposure matrices assessed differences in potential exposures between groups. Changes in exposure over time were tracked by dividing the production history into manufacturing eras.
Results: Nineteen work groups were developed to capture 310,351 unique DDJs from 1965-1999. Agent exposure matrices contrasted exposure potential to solvents, metals, and work in cleanrooms between groups, and three manufacturing eras were identified for each site.
Conclusions: The work groups, manufacturing eras and agent matrices have been used to classify workers in the study of cancer incidence and mortality.
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| http://dx.doi.org/10.1097/01.jom.0000177128.50822.01 | DOI Listing |
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