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. 2010 Jan;7(1):7-13.
doi: 10.1080/15459620903327970.

A task-specific assessment of Swine worker exposure to airborne dust

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A task-specific assessment of Swine worker exposure to airborne dust

Patrick T O'Shaughnessy et al. J Occup Environ Hyg. 2010 Jan.

Abstract

A task-based analysis of personal airborne dust exposures was performed in two swine confinement facilities used to house sows and their litters. Airborne particulate levels were assessed during summer, winter, and spring. Personal aerosol measurements of workers were made with a photometer every 15 sec and corrected to compare with an integrated concentration measurement made with a co-located IOM inhalable dust sampler. Task type and time period were recorded by the workers over an 8-hr work shift. There was a significant difference in dust concentrations between seasons (p < 0.001), with winter months providing the highest levels (geometric mean = 3.76 mg/m(3)). The application of a general linear model of log-transformed task concentrations relative to site, season, and task demonstrated significant differences (P < 0.001) among all three covariates. Tasks performed near moving animals, especially the weaning process, resulted in the greatest concentrations. These results indicate the need to evaluate the concentration levels for separate tasks during multi-task work shifts, such as swine rearing, to optimize efforts to minimize exposures by focusing on high-concentration tasks.

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Figures

FIGURE 1.
FIGURE 1.
Inhalable concentrations measured for each subject separated by three seasons and two sites. Error bars indicate the 10% and 90% percentile values of the lognormally distributed concentration values for each sample set.
FIGURE 2.
FIGURE 2.
Time sequence of concentration readings for the highest case in the summer (a), and the highest case in the winter (b), showing tasks related to readings.
FIGURE 3.
FIGURE 3.
Endotoxin concentrations (EU/m3) from personal samples by season and site. Error bars indicate the 10% and 90% percentile values of the lognormally distributed concentration values for each sample set.

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