Journal of Trauma Management & Outcomes · 2011 · 56 citations · 22 references
Veterinary MedicineVeterinary EpidemiologyEquine MedicineEquine ScienceRisk Factor AnalysisInjury EpidemiologyInjury RiskSpinal TraumaSports InjuriesTrauma ManagementAnimal-related InjuriesAthletic Injury EpidemiologyInjury Pattern ClassificationInjury Risk AssessmentLogistic RegressionProtective Factors AnalysisSkeletal Injury Pattern AnalysisSpinal Injuries
BACKGROUND: In Switzerland there are about 150,000 equestrians. Horse related injuries, including head and spinal injuries, are frequently treated at our level I trauma centre. OBJECTIVES: To analyse injury patterns, protective factors, and risk factors related to horse riding, and to define groups of safer riders and those at greater risk METHODS: We present a retrospective and a case-control survey at conducted a tertiary trauma centre in Bern, Switzerland.Injured equestrians from July 2000 - June 2006 were retrospectively classified by injury pattern and neurological symptoms. Injured equestrians from July-December 2008 were prospectively collected using a questionnaire with 17 variables. The same questionnaire was applied in non-injured controls. Multiple logistic regression was performed, and combined risk factors were calculated using inference trees. RESULTS: RETROSPECTIVE SURVEY: A total of 528 injuries occured in 365 patients. The injury pattern revealed as follows: extremities (32%: upper 17%, lower 15%), head (24%), spine (14%), thorax (9%), face (9%), pelvis (7%) and abdomen (2%). Two injuries were fatal. One case resulted in quadriplegia, one in paraplegia. CASE-CONTROL SURVEY: 61 patients and 102 controls (patients: 72% female, 28% male; controls: 63% female, 37% male) were included. Falls were most frequent (65%), followed by horse kicks (19%) and horse bites (2%). Variables statistically significant for the controls were: Older age (p = 0.015), male gender (p = 0.04) and holding a diploma in horse riding (p = 0.004). Inference trees revealed typical groups less and more likely to suffer injury. CONCLUSIONS: Experience with riding and having passed a diploma in horse riding seem to be protective factors. Educational levels and injury risk should be graded within an educational level-injury risk index.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
ABBREVIATED INJURY SCALE :(1985 REVISION. )
T. A. Gennarelli · 1985 · 445 citations
Accidents with horses: what has changed in 20 years?
Jai Chitnavis, C. L. M. H. Gibbons, Martin B. Hirigoyen et al. · Injury · 1996 · 133 citations