BACKGROUND: Lead hazards continue to be encountered in the workplace. OSHA's Integrated Management Information System (IMIS) is the largest available database containing sampling results in US workplaces. METHODS: Personal airborne lead sampling results in IMIS were extracted for years 1979-2008. Descriptive analyses, geographical mapping, and regression modeling of results were performed. RESULTS: Seventy-nine percent of lead samples were in the manufacturing sector. Lead sample results were highest in the construction sector (median = 0.03 mg/m(3) ). NORA sector, year, OSHA region, number of employees at the worksite, federal/state OSHA plan, unionization, advance notification, and presence of an employee representative were statistically associated with having a lead sample result exceed the PEL. CONCLUSIONS: Lead concentrations within construction have been higher than any other industry. Lead hazards have been most prevalent in the north and northeastern US. IMIS data can be useful as a surveillance tool and for targeting prevention efforts toward hazardous industries.
BACKGROUND: Lead hazards continue to be encountered in the workplace. OSHA's Integrated Management Information System (IMIS) is the largest available database containing sampling results in US workplaces. METHODS: Personal airborne lead sampling results in IMIS were extracted for years 1979-2008. Descriptive analyses, geographical mapping, and regression modeling of results were performed. RESULTS: Seventy-nine percent of lead samples were in the manufacturing sector. Lead sample results were highest in the construction sector (median = 0.03 mg/m(3) ). NORA sector, year, OSHA region, number of employees at the worksite, federal/state OSHA plan, unionization, advance notification, and presence of an employee representative were statistically associated with having a lead sample result exceed the PEL. CONCLUSIONS: Lead concentrations within construction have been higher than any other industry. Lead hazards have been most prevalent in the north and northeastern US. IMIS data can be useful as a surveillance tool and for targeting prevention efforts toward hazardous industries.
Authors: Daniel Lefkowitz; Elise Pechter; Kathleen Fitzsimmons; Margaret Lumia; Alicia C Stephens; Letitia Davis; Jennifer Flattery; Justine Weinberg; Robert J Harrison; Mary Jo Reilly; Margaret S Filios; Gretchen E White; Kenneth D Rosenman Journal: Am J Ind Med Date: 2015-09-09 Impact factor: 2.214
Authors: Geoffrey M Calvert; Sara E Luckhaupt; Aaron Sussell; James M Dahlhamer; Brian W Ward Journal: Am J Ind Med Date: 2012-07-20 Impact factor: 2.214
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