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High Injury Burden in Elite Adolescent Athletes: A 52-Week Prospective Study

von Rosen, Philip, Heijne, Annette, Frohm, Anna, Fridén, Cecilia, Kottorp, Anders·2018·Journal of Athletic Training

Abstract

Context: Our understanding of the injury burden in elite adolescent athletes in most sports is limited or unknown because of the lack of prospective, long-term injury studies. Objective: To describe injury patterns in terms of type, location, prevalence and incidence, recurrence, and severity grade; time to first injury; and prevalence of illness in elite adolescent athletes and to compare differences in injury data by sex and sport type. Design: Cohort study. Setting: Fifteen national sports high schools in Sweden. Patients or Other Participants: Participants were 284 elite adolescent athletes (boys = 147, girls = 137; median age = 17 years; 25th–75th percentile range = 16–18 years) competing at a high national level for their age in athletics (track and field), cross-country skiing, downhill skiing, freestyle skiing, handball, orienteering, or ski orienteering. Main Outcome Measure(s): All athletes were monitored weekly over 52 weeks, using a validated online questionnaire to identify injury type, location, prevalence or incidence, and severity grade; time to first injury; and prevalence of illness. Results: Among all athletes, 57.4% reported at least 1 new injury, whereas the 1-year injury prevalence was 91.6%. The overall injury incidence was 4.1/1000 hours of exposure to sport, and every week, on average, 3 of 10 (30.8%) elite adolescent athletes reported being injured. Of all injuries from which athletes recovered, 22.2% (n = 35) resulted in absence from normal training for at least 2 months. Female athletes reported higher (P < .05) average weekly injury prevalence and substantial injury prevalence (injuries leading to a moderate or severe reduction in sport performance or participation or time loss) than male athletes. Conclusions: A considerable number of elite adolescent athletes were injured weekly, resulting in serious consequences for sport participation, training, or performance (or a combination of these). Appropriately designed interventions to prevent knee and foot injuries will target both the greatest number of injuries and the injuries with the most serious consequences in elite adolescent athletes.

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Research works printed but not linked: 29

  1. DiFiori, 2014, Overuse injuries and burnout in youth sports: a position statement from the American Medical Society for Sports Medicine, Br J Sports Med, 48, 287, 10.1136/bjsports-2013-093299 · DOI · Paper page
  2. Williams, 2011, Environmental factors affecting elite young athletes, Med Sport Sci, 56, 150, 10.1159/000320646 · DOI
  3. Maffulli, 2005, Long term sport involvement and sport injury rate in elite young athletes, Arch Dis Child, 90, 525, 10.1136/adc.2004.057653 · DOI · Paper page
  4. Steffen, 2010, More data needed on injury risk among young elite athletes, Br J Sports Med, 44, 485, 10.1136/bjsm.2010.073833 · DOI · Paper page
  5. Rosa, 2014, Epidemiology of sports injuries on collegiate athletes at a single center, Acta Ortop Bras, 22, 321, 10.1590/1413-78522014220601007 · DOI
  6. Westin, 2012, Injury profile of competitive alpine skiers: a five year cohort study, Knee Surg Sports Traumatol Arthrosc, 20, 1175, 10.1007/s00167-012-1921-x · DOI
  7. Jacobsson, 2013, Injury patterns in Swedish elite athletics: annual incidence, injury types and risk factors, Br J Sports Med, 47, 941, 10.1136/bjsports-2012-091651 · DOI
  8. Le Gall, 2006, Incidence of injuries in elite French youth soccer players: a 10-season study, Am J Sports Med, 34, 928, 10.1177/0363546505283271 · DOI · Paper page
  9. Le Gall, 2008, Injuries in young elite female soccer players: an 8-season prospective study, Am J Sports Med, 36, 276, 10.1177/0363546507307866 · DOI
  10. Price, 2004, The Football Association medical research programme: an audit of injuries in academy youth football, Br J Sports Med, 38, 466, 10.1136/bjsm.2003.005165 · DOI · Paper page
  11. Kirialanis, 2003, Occurrence of acute lower limb injuries in artistic gymnasts in relation to event and exercise phase, Br J Sports Med, 37, 137, 10.1136/bjsm.37.2.137 · DOI
  12. Kolt, 1999, Epidemiology of injury in elite and subelite female gymnasts: a comparison of retrospective and prospective findings, Br J Sports Med, 33, 312, 10.1136/bjsm.33.5.312 · DOI · Paper page
  13. von Rosen, 2016, Injuries and associated risk factors among adolescent elite orienteerers: a 26-week prospective registration study, J Athl Train, 51, 321, 10.4085/1062-6050-51.5.01 · DOI
  14. Rauh, 2007, Subsequent injury patterns in girls' high school sports, J Athl Train, 42, 486
  15. van Mechelen, 1992, Incidence, severity, aetiology and prevention of sports injuries. A review of concepts, Sports Med, 14, 82, 10.2165/00007256-199214020-00002 · DOI · Paper page
  16. Bahr, 2009, No injuries, but plenty of pain? On the methodology for recording overuse symptoms in sports, Br J Sports Med, 43, 966, 10.1136/bjsm.2009.066936 · DOI · Paper page
  17. Clarsen, 2013, Development and validation of a new method for the registration of overuse injuries in sports injury epidemiology: the Oslo Sports Trauma Research Centre (OSTRC) overuse injury questionnaire, Br J Sports Med, 47, 495, 10.1136/bjsports-2012-091524 · DOI · Paper page
  18. Clarsen, 2014, Reduced glenohumeral rotation, external rotation weakness and scapular dyskinesis are risk factors for shoulder injuries among elite male handball players: a prospective cohort study, Br J Sports Med, 48, 1327, 10.1136/bjsports-2014-093702 · DOI · Paper page
  19. Ekman, 2015, Swedish translation and validation of a web-based questionnaire for registration of overuse problems, Scand J Med Sci Sports, 25, 104, 10.1111/sms.12157 · DOI
  20. Clarsen, 2014, The Oslo Sports Trauma Research Center questionnaire on health problems: new approach to prospective monitoring of illness and injury in elite athletes, Br J Sports Med, 48, 754, 10.1136/bjsports-2012-092087 · DOI · Paper page
  21. Caine, 2011, Osteoarthritis as an outcome of paediatric sport: an epidemiological perspective, Br J Sports Med, 45, 298, 10.1136/bjsm.2010.081984 · DOI
  22. Finnoff, 2012, Preventive exercise in sports, PM R, 4, 862, 10.1016/j.pmrj.2012.08.005 · DOI
  23. Fernandez, 2007, Epidemiology of lower extremity injuries among U.S. high school athletes, Acad Emerg Med, 14, 641, 10.1197/j.aem.2007.03.1354 · DOI · Paper page
  24. Hootman, 2007, Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives, J Athl Train, 42, 311
  25. Møller, 2012, Injury risk in Danish youth and senior elite handball using a new SMS text messages approach, Br J Sports Med, 46, 531, 10.1136/bjsports-2012-091022 · DOI · Paper page
  26. Seil, 1998, Sports injuries in team handball. A one-year prospective study of sixteen men's senior teams of a superior nonprofessional level, Am J Sports Med, 26, 681, 10.1177/03635465980260051401 · DOI
  27. Brooks, 2005, Epidemiology of injuries in English professional rugby union: part 1 match injuries, Br J Sports Med, 39, 757, 10.1136/bjsm.2005.018135 · DOI · Paper page
  28. Kucera, 2005, Injury history as a risk factor for incident injury in youth soccer, Br J Sports Med, 39, 462, 10.1136/bjsm.2004.013672 · DOI
  29. Clarsen, 2015, The prevalence and impact of overuse injuries in five Norwegian sports: application of a new surveillance method, Scand J Med Sci Sports, 25, 323, 10.1111/sms.12223 · DOI

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Metadata

Authors
von Rosen, P., Heijne, A., Frohm, A., Fridén, C., & Kottorp, A.
Affiliations
  • Division of Physiotherapy, Karolinska Institutet, Huddinge, Sweden
  • Division of Occupational Therapy, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, Huddinge, Sweden
Venue
Journal of Athletic Training
Published
2018-03-01
Volume
53
Issue
3
Pages
262-270
ISSN
1062-6050
Cited by
90
References
1
Language
en

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