J. R. Wilkins III ^1*, J. Mac Crawford ¹, Lorann Stallones ², Kathleen M. Koechlin ³, Lei Shen ¹, John Hayes ¹, Thomas L. Bean ¹

¹ Ohio State University
² Colorado State University
³ Ohio State University, Ohio Department of Health

^* To whom correspondence should be addressed. E-mail: wilkins.2{at}osu.edu.

	Abstract

Objectives. We conducted a 3-year cohort study of 407 youths aged 9 to 18 years to develop multivariable risk prediction models of agriculture-related injuries. Methods. Data were obtained via participant event monitoring, with youths self-reporting injuries and exposures in daily diaries over a 13-week period. We evaluated data quality by comparing injury self-reports with other injury data. Results. Semilogarithmic plots of rates of all unintentional injuries combined (US data from 2000) as well as of agriculture-related injuries (US and Canadian data from 19 previous studies) graphed as a function of injury severity exhibited linearity, as did plots based on the present results. Severity-specific unintentional injury rates were 1.4- to 4.3-times higher than national rates, suggesting that our methodology can significantly reduce injury underreporting. In addition, at each severity level, estimated agriculture-related injury rates were 5.8- to 9.3-times higher than rates from previous national, regional, and state-based studies. Conclusions. Our approach to participant event monitoring can be implemented with aged 9 to 18 years and will yield reliable daily data on unintentional injuries.

Key Words: Child and Adolescent Health, Epidemiology, Injury/Emergency Care/Violence, Rural Health