title: The mosaic of equestrian-related injuries in Greece.
abstract: BACKGROUND
  This study aims to estimate the burden and describe the profile of equestrian injuries in Greece, where horses, donkeys, and mules are still used in agriculture and where horse riding is a popular leisure activity.
  
  
  METHODS
  Prospectively collected information on 140,823 injuries reported in the national Emergency Department Injury Surveillance System was examined and 244 equestrian-related injuries that occurred during farming, equestrian sports, or horse racing were analyzed.
  
  
  RESULTS
  The estimated countrywide injury incidence for farming and equestrian sports combined was 21 per 100,000 person-years, but it was 160 times higher for horse-racing personnel. Men had higher rates of racing injuries and women had higher rates of equestrian sport injuries. Fractures accounted for 39.0% of injuries in horse racing and 30.5% in farming; head injuries accounted for approximately 50% of injuries among farmers. Farming injuries were more serious, with 25% requiring hospitalization. Analysis through the Barell matrix pointed to the role of spurs in the causation of ankle fractures and dislocations and the likely contribution of helmets in preventing traumatic brain injuries.
  
  
  CONCLUSIONS
  Equestrian-related injuries are a serious but underappreciated health problem and merit targeted prevention efforts for each category affected.
authors.affiliation: Department of Hygiene and Epidemiology, Athens University Medical School, 75 Mikras Asias, Goudi, Athens 115-27, Greece. epetrid@med.uoa.gr
authors.forename: Eleni
authors.initials: E
authors.lastname: Petridou
authors.forename: Simos
authors.initials: S
authors.lastname: Kedikoglou
authors.forename: Maria
authors.initials: M
authors.lastname: Belechri
authors.forename: Evangelos
authors.initials: E
authors.lastname: Ntouvelis
authors.forename: Nick
authors.initials: N
authors.lastname: Dessypris
authors.forename: Dimitrios
authors.initials: D
authors.lastname: Trichopoulos
mesh_terms: D000062:Accidents, Occupational / Q000191:economics / Q000517:prevention & control / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000383:Agriculture; D000818:Animals; D001265:Athletic Injuries / Q000191:economics / Q000453:epidemiology* / Q000517:prevention & control; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data; D018397:Equidae; D019317:Evidence-Based Medicine; D005260:Female; D006115:Greece / Q000453:epidemiology; D017048:Health Care Costs / Q000706:statistics & numerical data; D006736:Horses; D006801:Humans; D007899:Leisure Activities; D008297:Male; D008875:Middle Aged; D009104:Multiple Trauma / Q000191:economics / Q000453:epidemiology* / Q000517:prevention & control; D011159:Population Surveillance; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data; D014505:Urban Population / Q000706:statistics & numerical data