Science Inventory

Personal Exposure Monitoring Wearing Protocol Compliance: An Initial Assessment of Quantitative Measurements

Citation:

Lawless, P., J. Thornburg, C. E. RODES, AND R. W. WILLIAMS. Personal Exposure Monitoring Wearing Protocol Compliance: An Initial Assessment of Quantitative Measurements. Journal of Exposure Science and Environmental Epidemiology . Nature Publishing Group, London, Uk, 22(3):274-280, (2012).

Impact/Purpose:

The National Exposure Research Laboratory′s (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.

Description:

Personal exposure sampling provides the most accurate and representative assessment of exposure to a pollutant, but only if measures are implemented to minimize exposure misclassification and reduce confounders that may cause misinterpretation of the collected data. Poor compliance with personal sampler wearing protocols can create positive or negative biases in the reported exposure concentrations, depending on proximity of the participant or the personal sampler to the pollutant source when the monitor was not worn as instructed. This paper presents an initial quantitative examination of personal exposure monitor wearing protocol compliance during a longitudinal particulate matter personal exposure monitoring study of senior citizens of compromise health in North Carolina. Wearing compliance varied between participants because of gender or employment status, but not longitudinally or between cohorts. A minimum waking wearing compliance threshold, 0.4 for this study of senior citizens, is suggested to define when personal exposure measurements are representative of a participant’s exposure. The ability to define a minimum threshold indicates data weighting techniques may be used to estimate a participant’s exposure assuming perfect protocol compliance.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:05/01/2012
Record Last Revised:06/27/2012
OMB Category:Other
Record ID: 232530