Background: Farm residents may be exposed to pesticide active ingredients from several non-occupational exposure pathways, including agricultural drift, para-occupational, and residential use. Quantitative, aggregate pesticide exposure metrics are needed to evaluate associations with health risks.
Objective: We are developing an active-ingredient-specific algorithm for cumulative non-occupational pesticide exposure intensity for spouses of pesticide applicators. We are quantifying the relative contributions of these pathways using meta-regression models of published data on dust pesticide concentrations.
This work is being performed in collaboration with investigators at the National Cancer Institute, Environmental Protection Agency, National Institute of Environmental Health Sciences, and the National Institute for Occupational Safety and Health