Literature DB >> 17868241

Characteristics of crashes with farm equipment that increase potential for injury.

Corinne Peek-Asa1, Nancy L Sprince, Paul S Whitten, Scott R Falb, Murray D Madsen, Craig Zwerling.   

Abstract

CONTEXT: Crash fatality and injury rates are higher on rural roadways than other roadway types. Although slow-moving farm vehicles and equipment are risk factors on rural roads, little is known about the characteristics of crashes with farm vehicles/equipment.
PURPOSE: To describe crashes and injuries for the drivers of farm vehicles/equipment and non-farm vehicles involved in an injury crash. Passengers are not included in this analysis.
METHODS: Injury crashes were included that involved a farm vehicle/equipment and at least one non-farm vehicle reported in Iowa Department of Transportation crash data from 1995 to 2004. Odds ratios were calculated through logistic regression to identify increased odds for injury among drivers of non-farm vehicles and farm vehicles/equipment. We examined frequently occurring crash characteristics to identify crash scenarios leading to the highest odds for injury.
FINDINGS: Non-farm vehicle drivers were 5.23 times more likely to be injured than farm vehicle/equipment drivers (95% CI = 4.12-6.46). The absence of restraint use was a significant predictor of injury for both farm vehicle/equipment drivers (OR = 2.85; 95% CI = 1.14-7.13) and non-farm vehicle drivers (OR = 2.53; 95% CI = 1.54-4.15). Crash characteristics increasing the odds of injury for non-farm vehicle drivers included speeding, passing the farm vehicle/equipment, driving on a county road, having a frontal impact collision, and crashing in darkness. Ejection was the strongest predictor of injury for the farm vehicle/equipment driver.
CONCLUSION: Non-farm vehicle drivers were much more likely to be injured than farm vehicle/equipment drivers, suggesting that farm vehicle/equipment crash prevention should be a priority for all rural road users. Prevention strategies that reduce motor vehicle speed, assist in safe passing, increase seat belt use, and increase conspicuousness of the farm vehicle/equipment are suggested.

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Mesh:

Year:  2007        PMID: 17868241     DOI: 10.1111/j.1748-0361.2007.00112.x

Source DB:  PubMed          Journal:  J Rural Health        ISSN: 0890-765X            Impact factor:   4.333


  9 in total

1.  Examination of Realism in a High-fidelity Tractor Driving Simulator.

Authors:  Kayla Faust; Carri Casteel; Daniel V McGehee; Corinne Peek-Asa; Diane S Rohlman; Marizen Ramirez
Journal:  J Agric Saf Health       Date:  2020

2.  Community engagement in the development and implementation of a rural road safety campaign: Steps and lessons learned.

Authors:  Cara J Hamann; Eliza Daly; Laura Schwab-Reese; Natoshia Askelson; Corinne Peek-Asa
Journal:  J Transp Health       Date:  2021-12

3.  Prevalence of alcohol impairment and odds of a driver injury or fatality in on-road farm equipment crashes.

Authors:  Karisa K Harland; Ronald Bedford; Hongqian Wu; Marizen Ramirez
Journal:  Traffic Inj Prev       Date:  2018-03-01       Impact factor: 1.491

4.  Economic sanctions, military activity, and road traffic crashes in Vojvodina, Serbia.

Authors:  P Duric; C Peek-Asa
Journal:  Inj Prev       Date:  2008-12       Impact factor: 2.399

5.  Examining the Association Between Age and Tractor Driving Performance Measures Using a High-Fidelity Tractor Driving Simulator.

Authors:  Kayla Faust; Carri Casteel; Daniel V McGehee; Corinne Peek-Asa; Diane Rohlman; Marizen R Ramirez
Journal:  J Agric Saf Health       Date:  2021-07-09

6.  Trends in non-fatal agricultural injuries requiring trauma care.

Authors:  Celestin Missikpode; Corinne Peek-Asa; Tracy Young; Amanda Swanton; Kathy Leinenkugel; James Torner
Journal:  Inj Epidemiol       Date:  2015-12-04

7.  Lighting and marking policies are associated with reduced farm equipment-related crash rates: a policy analysis of nine Midwestern US states.

Authors:  Marizen Ramirez; Ronald Bedford; Hongqian Wu; Karisa Harland; Joseph E Cavanaugh; Corinne Peek-Asa
Journal:  Occup Environ Med       Date:  2016-07-12       Impact factor: 4.402

8.  Public health application of predictive modeling: an example from farm vehicle crashes.

Authors:  Shabbar I Ranapurwala; Joseph E Cavanaugh; Tracy Young; Hongqian Wu; Corinne Peek-Asa; Marizen R Ramirez
Journal:  Inj Epidemiol       Date:  2019-06-17

9.  The effects of roadway characteristics on farm equipment crashes: a geographic information systems approach.

Authors:  Mitchell Greenan; Maisha Toussaint; Corinne Peek-Asa; Diane Rohlman; Marizen R Ramirez
Journal:  Inj Epidemiol       Date:  2016-12-20
  9 in total

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