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 youths aged 9 to 18 years and will yield reliable daily data on unintentional injuries.
Subject(s)
Accidents, Occupational/statistics & numerical data , Agriculture/statistics & numerical data , Employment/statistics & numerical data , Medical Records , Population Surveillance/methods , Wounds and Injuries/epidemiology , Adolescent , Canada/epidemiology , Child , Cohort Studies , Female , Humans , International Classification of Diseases , Male , Multivariate Analysis , Risk Assessment , Risk Factors , Trauma Severity Indices , United States/epidemiology , Wounds and Injuries/etiologyABSTRACT
It presents useful recommendations for preventing or fighting fire in warehouse or farm storage area where agricultural chemicals (fertilizers, soil conditioners, and pesticides) are stored.
