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This Article Figures Only Full Text Full Text (PDF) All Versions of this Article: AJPH.2005.077172v1 97/2/283    most recent Submit a response Purchase Article View Shopping Cart Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via ISI Web of Science (1) Citing Articles via Google Scholar Google Scholar Articles by Wilkins, J.R. Articles by Bean, T. L. Search for Related Content PubMed PubMed Citation Articles by Wilkins, J.R., III Articles by Bean, T. L. Related Collections Epidemiology Injury/Emergency Care/Violence Other Child and Adolescent Health Rural Health

J.R. Wilkins, III, DrPH, BCE, J. Mac Crawford, PhD, Lorann Stallones, PhD, Kathleen M. Koechlin, PhD, Lei Shen, PhD, John Hayes, PhD and Thomas L. Bean, EdD

J. R. Wilkins III is with the Division of Epidemiology, School of Public Health, Ohio State University, Columbus. J. Mac Crawford is with the Division of Environmental Health Sciences, School of Public Health, Ohio State University, Columbus. Lorann Stallones is with the Department of Psychology, Colorado State University, Fort Collins. At the time of the study, Kathleen M. Koechlin was with the Division of Epidemiology, School of Public Health, Ohio State University, Columbus. Lei Shen is with the Division of Biostatistics, School of Public Health, Ohio State University, Columbus. John Hayes is with the Department of Pediatrics, Columbus Children’s Hospital, Columbus. Thomas L. Bean is with the Department of Food, Agricultural, and Biological Engineering, Ohio State University, Columbus.

Correspondence: Requests for reprints should be sent to J. R. Wilkins III, DrPH, Division of Epidemiology, School of Public Health, The Ohio State University, 320 W Tenth Ave, Columbus, OH 43210 (e-mail: wilkins.2{at}osu.edu).

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 youths aged 9 to 18 years and will yield reliable daily data on unintentional injuries.