NDLI: Estimating occupational beryllium exposure from compliance monitoring data.

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Estimating occupational beryllium exposure from compliance monitoring data.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Hamm, Michele P. Burstyn, Igor
Spatial Coverage	United States
Description	Country affiliation: Canada Author Affiliation: Hamm MP ( a Community and Occupational Medicine Program, Department of Medicine, Faculty of Medicine and Dentistry , University of Alberta , Edmonton , Alberta , Canada.)
Abstract	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.
File Format	HTM / HTML
ISSN	19338244
Issue Number	2
Volume Number	66
e-ISSN	21544700
Journal	Archives of Environmental & Occupational Health
Language	English
Publisher	Taylor & Francis
Publisher Date	2011-01-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Environmental Health Discipline Occupational Medicine Air Pollutants, Occupational Analysis Beryllium Occupational Exposure Environmental Monitoring Guideline Adherence Humans Likelihood Functions Logistic Models Statistics & Numerical Data United States United States Occupational Safety And Health Administration Evaluation Studies Journal Article
Content Type	Text
Resource Type	Article
Subject	Health, Toxicology and Mutagenesis Public Health, Environmental and Occupational Health Toxicology

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