The Third National Health and Nutrition Examination Survey (NHANES-III) of the Centers for Disease Control and Prevention (CDC) recorded data on the urinary concentrations of 12 chemicals (analytes), which were either pesticides or their metabolites, that represent exposure to certain pesticides, in urine samples collected from 1988 to 1994 from a cohort of 978 volunteer subjects, aged 20-59 years. We have used each subject's urinary creatinine concentration and their individual daily creatinine excretion rate (g/day) computed from their age, gender, height and weight, to estimate their daily excretion rate in mg analyte/kg/day. We discuss the mechanisms of excretion of the analytes and certain assumptions needed to compute the equivalent daily dietary intake (mg/kg/day) of the most likely parent pesticide compounds for each excreted analyte. We used literature data on the average amount of parent compound ingested per unit amount of the analyte excreted in the urine, and compared these estimated daily intakes to the US EPA's reference dose (RfD) values for each of those parent pesticides. A Johnson S B distribution (four-parameter lognormal) was fit to these data to estimate the national distribution of exclusive exposures to these 12 parent compounds. Only three such pesticides had a few predicted values above their RfD (lindane 1.6%; 2,4-dichlorophenol 1.3%; chlorpyrifos 0.02%). Given the possibility of a subject's dietary intake of a pesticide's metabolites incorporated into treated food, our results show that few, if any, individuals in the general US population aged 20-59 years and not employed in pesticide application were likely to have exceeded the USEPA RfD for these parent compounds during the years studied.

The Third National Health and Nutrition Examination Survey gathered health and job data from a sample of the US population. Researchers collected urine samples from a subset of subjects and analyzed it for 12 pesticide residues or metabolites (ie, analytes). They investigated the relationship between the industries and jobs reported and the analytes detected in the urine samples. The authors found an association between several jobs and the concentration for one or more pesticide analytes above the 90th percentile. They applied a job exposure matrix to categorize subjects on their potential for job exposures to pesticides. For the detected analytes, the subjects with the highest potential for occupational exposures to insecticides were more likely to have an analyte concentration above the 90th percentile and to have an average analyte concentration score 30% higher than that of subjects reporting jobs with the lowest exposure potential. These findings indicate that occupational exposure may not be a major source of pesticide exposure among the general population.

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