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I-CASH Home > 2015 MRASH > 2015 MRASH Schedule > Breakout Session 3 > Predictors of Injury in a Farm Vehicle Crash: Modifiable and Non-modifiable Factors

Predictors of Injury in a Farm Vehicle Crash: Modifiable and Non-modifiable Factors

Primary Presenter: Shabbar I Ranapurwala, PhD, MPH, Injury Prevention Research Center, University of Iowa.
Additional Authors: Tracy Young, MS, Injury Prevention Research Center, University of Iowa; Joseph Cavanaugh, PhD, Injury Prevention Research Center, Dept of Biostatistics, University of Iowa; Corinne Peek-Asa, PhD, MPH, Injury Prevention Research Center, Dept of Occupational and Environmental Health, University of Iowa; Marizen R Ramirez, MPH, PhD, Injury Prevention Research Center, Dept of Occupational and Environmental Health, University of Iowa.
Learning Objectives:

  1. What are the modifiable factors in farm vehicle crashes that may increase or reduce the risk of injury?
  2. What factors reduce the risk of injury in a farm vehicle crash?
  3. What factors increase the risk of injury in a farm vehicle crash?

Abstract:
Introduction: Farm vehicle crashes (FVC) cause injury and fatality among both the users and non-users of farm vehicles. The goal of this research is identify modifiable factors of FVCs and predict injury risk due to these factors.
Methods: FVC data was collected from the departments of transportation of Iowa, Illinois, Kansas, Minnesota, Missouri, Nebraska, North Dakota, South Dakota, and Wisconsin. We conducted multivariate logistic regression analysis with generalized estimating equations to estimate the odds of injury in a FVC. The goodness-of-fit of the model was determined by using the quasi-likelihood independence criterion (QIC). Using the intercept and the odds from this model the probability of injury in a FVC under different circumstances can be calculated.
Results: Our models allow us to make inferences such as the following: If a multiple vehicle FVC occurs in ‘Iowa’ on a ‘clear’ day between ‘6-11:59am’ in ‘June through August,’ the risk of injury for a ‘male driver’ of the ‘non-farm vehicle’ who is ‘wearing a seat belt’ is 17%. However, the risk of injury would have been 43% had this individual ‘not been wearing a seatbelt.’
Conclusion: These models may help anticipate injury and supplement treatment readiness when FVCs occur.

A/V needs: LCD Projector/Laptop

Oral Presentation, 30 minutes

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