Estimating occupational beryllium exposure from compliance monitoring data.
Occupational exposure to beryllium is widespread and is a health risk. The objectives of this study were to develop plausible models to estimate occupational airborne beryllium exposure. Compliance monitoring data were obtained from the Occupational Safety and Health Administration for 12,148 personal measurements of beryllium exposure from 1979 to 2005. Industry codes were maintained as reported or collapsed based on the number of measurements per cell of a job-exposure matrix (JEM). Probability of exposure was predicted based on year, industry, job, and sampling duration. In these models, probability of exposure decreased over time, was highest in full-shift personal samples, and varied with industry and job. The probability of exposure was calculated using 6 JEMs, each providing similar rankings of the likelihood of non-negligible exposure to beryllium. These statistical models, with expert appraisal, are suitable for the assessment of the probability of elevated occupational exposure to beryllium.
a Community and Occupational Medicine Program, Department of Medicine, Faculty of Medicine and Dentistry , University of Alberta , Edmonton , Alberta , Canada.
Michele P
MP
Hamm
Igor
I
Burstyn
D000395:Air Pollutants, Occupational / Q000032:analysis*; D001608:Beryllium / Q000032:analysis*; D004784:Environmental Monitoring; D019983:Guideline Adherence; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D016273:Occupational Exposure / Q000032:analysis* / Q000706:statistics & numerical data; D014481:United States; D014489:United States Occupational Safety and Health Administration
D000395:Air Pollutants, Occupational; D001608:Beryllium