Australian snowboard injury data base study. A four-year prospective study

Am J Sports Med. 1993 Sep-Oct;21(5):701-4. doi: 10.1177/036354659302100511.


Information on the rate and spectrum of snowboarding injuries is limited. This 4-year prospective study at 3 major Australian ski resorts assesses incidence and patterns of snowboarding injuries, particularly in relation to skill level and footwear. Ski injury data were collected for the same period. In a predominantly male study population (men:women, 3:1), 276 snowboarding injuries were reported; 58% occurred in novices. Fifty-seven percent of injuries were in the lower limbs, 30% in the upper limbs. The most common injuries were sprains (53%), fractures (24%), and contusions (12%). Comparing skiers' versus snowboarders' injuries, snowboarders had 2.4 times as many fractures, particularly to the upper limbs (21% versus 35% of upper limb injuries), fewer knee injuries (23% versus 44% of lower limb injuries), but more ankle injuries (23% versus 6% of lower limb injuries). Ankle injuries were more common with soft-shell boots, worn most by intermediate and advanced riders. Knee injuries and distal tibial fractures were more common with hard-shell boots, worn most by novices. Overall, novices had more upper limb fractures and knee injuries; intermediate and advanced riders had more ankle injuries. Falls were the principal mode of injury. To prevent injury, beginners should use "hybrid" or soft-shell boots and take lessons.

MeSH terms

  • Adolescent
  • Adult
  • Ankle Injuries / epidemiology
  • Arm Injuries / classification
  • Arm Injuries / epidemiology
  • Athletic Injuries / classification
  • Athletic Injuries / epidemiology
  • Child
  • Contusions / epidemiology
  • Databases, Factual
  • Equipment Design
  • Female
  • Fractures, Bone / epidemiology
  • Humans
  • Incidence
  • Knee Injuries / epidemiology
  • Male
  • Middle Aged
  • Motor Skills
  • Prognosis
  • Prospective Studies
  • Skiing / classification
  • Skiing / injuries*
  • Skiing / statistics & numerical data
  • Sprains and Strains / epidemiology
  • Victoria / epidemiology