Poster Presentation

Monday, November 5, 2007
10:30 AM - 11:45 AM

Monday, November 5, 2007
1:30 PM - 2:45 PM
This presentation is part of : Scientific Posters
Pesticide Impacts: Epidemiological Study in a Sample of North Dakota Residents
Julie W. Anderson, PhD, RN, CCRC, College of Nursing, University of North Dakota, Grand Forks, ND, USA and Tracy Lee Wright, RN, MS, Nursing, University of North Dakota, Grand Forks, ND, USA.
Learning Objective #1: Develop understanding of population-based methodology.
Learning Objective #2: Articulate potential health care implications associated with pesticides.

The purpose of this exploratory study was to identify potential patterns between pesticide use and human-related health impacts in a given county and agricultural district in North Dakota. Pesticides have been used for centuries to kill various types of pests in domestic, agricultural, and institutional venues. While pesticides are viewed by many as being helpful agents for the control of animal, insect, plant, and fungal pests, they have been associated with actual and potential adverse health effects in humans and unfavorable ecological effects.

 This study used a historical sampling framework from regional hospital/clinc facilities located in northeast North Dakota.  The facilities serve both rural and urban areas, provide services for approximately 50% of the market, and have a healthcare service area of 17 counties.  The study county is representative of the state in that it has a high volume of agricultural crop production and pesticide use.

 Healthcare data were collected retrospectively for a five year period (2000-2004) for all occurrences of contact. National databases were used to determine percentage of treated acres and the amount of pesticide applied per year in North Dakota from 1990 to 2002. This data was used to graph statewide trends for pesticide exposure. The number of treated acres for each pesticide was determined by agricultural district using survey data for the 2000 crop season.


This study centered on ICD-9 codes recommended by Center for Disease Control and Prevention. Descriptive statistics illustrated the population age, gender, and diagnosis. Health data were then reviewed in light of pesticide usage in the geographical area and current literature. Patterns were illuminated and isolated as these the pesticide and healthcare datasets were merged.