Injury Risk in Alpine Skiing

Context: Alpine skiing is a popular sport worldwide but has significant risk for injury. The epidemiology of skiing-related injuries has been described, which has led to the identification of risk factors for specific types of injuries. Evidence Acquisition: Pertinent literature from peer-reviewed publications was reviewed. Study Design: Clinical review. Level of Evidence: Level 5. Results: The adoption of international standards for ski-boot-binding systems has changed the profile of skiing-related injuries over time, as has the widespread use of helmets. An understanding of mechanisms of injury, risk factors, and preventative measures may decrease the incidence of skiing-related injuries. Conclusion: Advances in standards for skiing equipment have been effective at decreasing both the frequency and severity of skiing-related injuries, but additional efforts are required to improve the safety of the sport.

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Medical services and injury management in Alpine skiing during the Winter Youth Olympic Games 2020 in Lausanne

Sports & Exercise Medicine Switzerland ◽

10.34045/sems/2020/14 ◽

2020 ◽

Keyword(s):

Injury Risk ◽

Olympic Games ◽

Injury Rate ◽

High Rate ◽

Injury Incidence ◽

Alpine Skiing ◽

Chi Square ◽

Injury Rates ◽

Skiing Injuries ◽

Chi Square Test

Purpose: The Youth Olympic Games (YOG) are an elite sporting event for young athletes aged 15-18 years from all over the world. In the third Youth Olympic Winter Games, held in Lausanne in 2020, there were 16 disciplines and 81 events. In previous reports regarding YOG, injury risk was highest in the skiing events and alpine ski had a high rate, 14% in 2012 and 12.9% in 2016. The purpose of this report is to discuss the rescue organization, investigate the incidence of alpine ski injury during YOG 2020 and compare to previous reports. Methods: During the YOG 2020, we reviewed all alpine skiing injuries from 1 official training and 9 events. 77 men racers from 57 countries and 78 women racers from 54 countries have participated. We calculated injury incidence as the number of injuries in competition, training or in total during the game period divided by the respective number of participating athletes; with incidence values presented as injuries per 100 athletes. The injury rates per a game duration were compared among the each YOG games (2012, 2016, 2020) with use of the chi-square test. The injury rate between men and women was compared using the chi-square test as well.

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Wide Skis As a Potential Knee Injury Risk Factor in Alpine Skiing

Frontiers in Sports and Active Living ◽

10.3389/fspor.2020.00007 ◽

2020 ◽

Vol 2 ◽

Author(s):

Martin Zorko ◽

Bojan Nemec ◽

Zlatko Matjačić ◽

Andrej Olenšek ◽

Katja Tomazin ◽

...

Keyword(s):

Risk Factor ◽

Injury Risk ◽

Knee Injury ◽

Alpine Skiing ◽

Injury Risk Factor

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Clinical Update: Functional Capacity Evaluations—An Update

Guides Newsletter ◽

10.1001/amaguidesnewsletters.1999.sepoct02 ◽

1999 ◽

Vol 4 (5) ◽

pp. 4-7 ◽

Cited By ~ 1

Author(s):

Laura Welch

Keyword(s):

Job Performance ◽

Functional Capacity ◽

Injury Risk ◽

Disability Evaluation ◽

Time Period ◽

Submaximal Effort ◽

Lack Of Sleep ◽

Overall Performance ◽

Time Required ◽

Specific Limitation

Abstract Functional capacity evaluations (FCEs) have become an important component of disability evaluation during the past 10 years to assess an individual's ability to perform the essential or specific functions of a job, both preplacement and during rehabilitation. Evaluating both job performance and physical ability is a complex assessment, and some practitioners are not yet certain that an FCE can achieve these goals. An FCE is useful only if it predicts job performance, and factors that should be assessed include overall performance; consistency of performance across similar areas of the FCE; consistency between observed behaviors during the FCE and limitations or abilities reported by the worker; objective changes (eg, blood pressure and pulse) that are appropriate relative to performance; external factors (illness, lack of sleep, or medication); and a coefficient of variation that can be measured and assessed. FCEs can identify specific movement patterns or weaknesses; measure improvement during rehabilitation; identify a specific limitation that is amenable to accommodation; and identify a worker who appears to be providing a submaximal effort. FCEs are less reliable at predicting injury risk; they cannot tell us much about endurance over a time period longer than the time required for the FCE; and the FCE may measure simple muscular functions when the job requires more complex ones.

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