title: A model for predicting the frequency of high pesticide exposure events in the Agricultural Health Study.
abstract: The frequency of self-reported high pesticide exposure events (HPEE) has been recorded in the NCI/EPA/NIEHS Agricultural Health Study (AHS). Fourteen percent (14%) of the enrolled applicators responding reported "an incident or experience while using any pesticide which caused an unusually high exposure." These data show, as expected, that the probability of a report of an HPEE increases with the cumulative number of days of pesticide application reported by the applicator. We have developed a three-parameter model that predicts the risk odds ratio (OR) of an HPEE as a function of the number of days that pesticides are applied. These events are costly in terms of resulting health-care visits, lost time from work, and potential risk for cancer and other chronic diseases. We propose that failure to carefully follow all the pesticide manufacturer's label requirements, inexperience, and random events (i.e., breaking hose) are the three factors responsible for the events observed. Special precautions for new or infrequent users of pesticides are indicated.
authors.affiliation: US Environmental Protection Agency, National Center for Environmental Assessment, Research Triangle Park, North Carolina 27711, USA. davidm@temss2.isr.temple.edu
authors.forename: D T
authors.initials: DT
authors.lastname: Mage
authors.forename: M C
authors.initials: MC
authors.lastname: Alavanja
authors.forename: D P
authors.initials: DP
authors.lastname: Sandler
authors.forename: C J
authors.initials: CJ
authors.lastname: McDonnell
authors.forename: B
authors.initials: B
authors.lastname: Kross
authors.forename: A
authors.initials: A
authors.lastname: Rowland
authors.forename: A
authors.initials: A
authors.lastname: Blair
mesh_terms: D000383:Agriculture / Q000706:statistics & numerical data*; D016573:Agrochemicals; D004784:Environmental Monitoring / Q000706:statistics & numerical data; D006801:Humans; D015233:Models, Statistical; D016273:Occupational Exposure / Q000032:analysis / Q000706:statistics & numerical data*; D016017:Odds Ratio; D010575:Pesticides; D011446:Prospective Studies; D012307:Risk Factors
chemical_list: D016573:Agrochemicals; D010575:Pesticides