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Young Women’s Anterior Cruciate Ligament Injuries

An Expanded Model and Prevention Paradigm

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Abstract

Anterior cruciate ligament (ACL) injuries among young female athletes occur at rates three- to eight-times greater than in male competitors and, in general, females experience more sports injuries than males, when balanced for activity and playing time. ACL injuries are a particular concern, as they result in immediate morbidity, high economic costs and may have long-term adverse effects. While several closely monitored ACL injury preventive programmes have been effective, those efforts have not been uniformly protective nor have they achieved widespread use. To date, ACL injury prevention has focused on neuromuscular and anatomical factors without including issues relating more broadly to the athlete. Coincident with greater female sport participation are other influences that may heighten their injury risk. We review those factors, including early single sport specialization, unhealthy dietary behaviours, chronic sleep deprivation and higher levels of fatigue, substance use and abuse, and psychological issues. We augment existing models of ACL injury with these additional dimensions. The proposed expanded injury model has implications for designing injury prevention programmes. High school athletic teams are natural settings for bonded youth and influential coaches to promote healthy lifestyles, as decisions that result in better athletes also promote healthy lifestyles. As an example of how sport teams could be vehicles to address an expanded injury model, we present an existing evidenced-based sport team-centered health promotion and harm reduction programme for female athletes. Widening the lens on factors influencing ACL injury expands the prevention paradigm to combine existing training with activities to promote psychological well-being and a healthy lifestyle. If developed and shown to be effective, those programmes might better reduce injuries and, in addition, provide life skills that would benefit young female athletes both on and off the playing field.

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References

  1. Murphy DF, Connolly DAJ, Beynnon BD. Risk factors for lower extremity injury: a review of the literature. Br JSports Med 2003; 37: 13–29

    Article  CAS  Google Scholar 

  2. Arendt E, Dick R. Knee injury patterns among men and women in collegiate basketball and soccer:NCAA data andreview of the literature. Am J Sports Med 1995; 23: 694–701

    Article  PubMed  CAS  Google Scholar 

  3. Griffin LY, Albohm AJ, Arendt EA, et al. Understanding and preventing noncontact anterior cruciate ligament injuries:a review of the Hunt Valley II meeting, January2005. Am J Sports Med 2006; 34: 1512–32

    Article  PubMed  Google Scholar 

  4. Renstrom P, Ljungquist A, Arendt E, et al. Non-contact ACL injuries in female athletes in International Olympic Committee current concepts statement. Br J Sports Med 2008; 28: 394–412

    Article  Google Scholar 

  5. Sokolove MY. Warrior girls: protecting our daughters against the injury epidemic in women’s sports. New York: Simon & Schuster, 2008

    Google Scholar 

  6. Carpenter LJ, Acosta RV. Title IX. Champaign (IL): Human Kinetics, 2005

    Google Scholar 

  7. Grunbaum JA, Kann L, Kinchen SA, et al. Youth risk behavior surveillance: United States, 2001. Morb Mortal Weekly Report 2002; 52 (SS04): 1–64

    Google Scholar 

  8. Silvers HJ, Mandelbaum BR. Prevention of anterior cruciate ligament injury in the female athlete. Br J Sports Med 2007; 41 Suppl. 1: i52–9

    Article  Google Scholar 

  9. Murphy DF, Connolly DAJ, Beynnon BD. Risk factors for lower extremity injury: a review of the literature. Br JSports Med 2003; 37: 13–29

    Article  CAS  Google Scholar 

  10. Dugan SA. Sports-related knee injuries in female athletes. What gives? Am J Phys Med Rehabil 2005; 84: 122–30

    Article  Google Scholar 

  11. Gillquist J, Messner K. Anterior cruciate ligament reconstruction and the long term incidence of gonarthrosis. Sports Med 1999; 27: 143–56

    Article  PubMed  CAS  Google Scholar 

  12. Lohmander LSOA, Englund M, Roos H. High prevalence of knee osteoarthritis pain, and functional limitations infemale soccer players twelve years after anterior cruciateligament injury. Arthritis Rheum 2004; 50: 45–52

    Article  Google Scholar 

  13. Yu B, Garrett WE. Mechanisms of non-contact ACL injuries. Br J Sports Med 2007; 41 Suppl. 1: i47–51

    Article  Google Scholar 

  14. Albright JP, McAuley E, Martin RK, et al. Head and neck injuries in college football: an eight-year analysis. Am JSports Med 1985; 13: 147–52

    Article  CAS  Google Scholar 

  15. Heck JF. The incidence of spearing during a high schools 1975 and 1990 football seasons. J Athletic Train 1996; 31: 31–7

    CAS  Google Scholar 

  16. Boden BP, Dean GS, Feagin JA, et al. Mechanism of anterior cruciate ligament injury. Orthopedics 2000; 23: 573–8

    PubMed  CAS  Google Scholar 

  17. Boden BP, Torg JS, Knowles SB, et al. Video analysis of anterior cruciate ligament injury. Am J Sports Med 2009; 37: 252–9

    Article  PubMed  Google Scholar 

  18. Ireland ML. The female ACL: why is it more prone to injury? Orthop Clin N Am 2002; 33: 637–51

    Article  Google Scholar 

  19. Quatman CE, Hewett TE. The anterior cruciate ligament controversy: is valgus collapse a sex-specific mechanism? Br J Sports Med 2009; 43: 328–35

    Article  PubMed  CAS  Google Scholar 

  20. Rozzi SL, Lephart SM, Gear WS, et al. Knee joint laxity and neuromuscular characteristics of male and femalesoccer and basketball players. Am J Sports Med 1999; 27: 312–9

    PubMed  CAS  Google Scholar 

  21. Hewett TE, Zazulak BT, Myer GD. Effects of the menstrual cycle on anterior cruciate ligament injury risk: asystematic review. Am J Sports Med 2007; 35: 659–68

    Article  PubMed  Google Scholar 

  22. Medina McKeon JM, Hertel J. Sex differences and representative values for 6 lower extremity alignment measures. J Athl Train 2009; 44 (3): 249–55

    Article  PubMed  Google Scholar 

  23. Zebis MK, Andersen LL, Bencke J, et al. Identification of athletes at future risk of anterior cruciate ligament rupturesby neuromuscular screening. AmJ Sports Med 2009; 37: 1967–73

    Article  Google Scholar 

  24. Johnson JH. Overuse injuries in young athletes: cause and prevention. Strength Condition J 2008; 30 (2): 27–31

    Article  Google Scholar 

  25. Brenner JS, American Academy of Pediatrics Council on Sports Medicine and Fitness. Overuse injuries, overtraining,and burnout in child and adolescent athletes. Pediatrics 2007; 119 (6): 1242–5

    Article  PubMed  Google Scholar 

  26. Brooks JH, Fuller CW, Kemp SPT, et al. An assessment of training volume in professional rugby union and its impacton the incidence, severity, and nature of match andtraining injuries. J Sports Sci 2008; 26 (8): 863–73

    Article  PubMed  Google Scholar 

  27. Steffen K, Pensgaard A, Bahr R. Self-reported psychological characteristics as risk factors for injuries in femaleyouth football. Scan JMed Sci Sports 2008; 18 (2): 221–34

    Google Scholar 

  28. Budgett R. Fatigue and underperformance in athletes: the overtraining syndrome. Br J Sports Med 1998; 32: 107–19

    Article  PubMed  CAS  Google Scholar 

  29. Pratt HD, Patel DR, Greydanus DE. Behavioral aspects of childrens sports. Pediatr Clin North Am 2003; 50: 879–99

    Article  PubMed  Google Scholar 

  30. Chen LH, Kee YH, Chen MY, et al. Relation of perfectionism with athletes burnout: further examination. Percept Mot Skills 2008; 106 (3): 811–20

    Article  PubMed  Google Scholar 

  31. Forsberg S, Lock J. The relationship between perfectionism, eating disorders and athletes: a review. Minerva Pediatr 2006; 58 (6): 525–36

    PubMed  CAS  Google Scholar 

  32. Neumark-Sztainer D, Story M, Hannan PJ, et al. Overweight status and eating patterns among adolescents:where do youths stand in comparison with the healthypeople 2010 objectives? Am J Public Health 2002; 92: 844–51

    Article  PubMed  Google Scholar 

  33. Wilkinson EC, Mickle SJ, Goldman JD. Trends in food and nutrient intakes by adolescents in the United States. Family Econ Nutr Rev 2003; 15: 15–27

    Google Scholar 

  34. Croll JK, Neumark-Sztainer D, Story M, et al. Adolescents involved in weight-related and power team sports havebetter eating patterns and nutrient intakes than non-sportinvolved adolescents. J Am Diet Assoc 2006; 106: 709–17

    Article  PubMed  Google Scholar 

  35. Lowry R, Lee SM, McKenna ML, et al. Weight management and fruit and vegetable intake among US highschool students. J School Health 2008; 78: 417–24

    Article  PubMed  Google Scholar 

  36. Calderon LL, Yu CK, Jambazion P. Dietary practices in high school students. J Am Diet Assoc 2004; 104: 1369–74

    Article  PubMed  Google Scholar 

  37. Pollitt E, Cueto S, Jacoby ER. Fasting and cognition in well- and undernourished school children: a review ofthree experimental studies. Am J Clin Nutr 1998; 67 (4): 779S–84S

    PubMed  CAS  Google Scholar 

  38. Conlee S. Muscle glycogen and exercise endurance: a twenty year perspective. Exerc Sports Sci Reviews 1987; 15: 1–28

    Article  CAS  Google Scholar 

  39. Mercer TH, Gleeson NP, Wren K. Influence of prolonged intermittent high-intensity exercise on knee flexorstrength in male and female soccer players. Eur J Appl Physiol 2003; 89: 506–8

    Article  PubMed  Google Scholar 

  40. Borotikar BS, Newcomer R, Koppes R, et al. Combined effects of fatigue and decision making on female lowerlimb landing postures: central and peripheral contributionsto ACL injury risk. Clin Biomechan 2008; 23: 81–92

    Article  Google Scholar 

  41. Kernozek TW, Torry MR, Iwasake N. Gender differences in lower extremity landing mechanics caused by neuromuscularfatigue. Am J Sports Med 2008; 36: 554–65

    Article  PubMed  Google Scholar 

  42. McLean SG, Felin R, Suedeku N, et al. Impact of fatigue on gender-based high-risk landing strategies. Med Sci Sports Exerc 2007; 39: 502–14

    Article  PubMed  Google Scholar 

  43. DeBar LL, Ritenbaugh C, Aickin M, et al. A health planbased lifestyle intervention increases bone mineraldensity in adolescent girls. Arch Pediatr Adolesc Med 2006; 160: 1269–76

    Article  Google Scholar 

  44. Drinkwater BL, Bruemner B, Chesnut III CGH. Menstrual history as a determinant of current bone density in youngathletes. JAMA 1990; 263: 545–8

    Article  PubMed  CAS  Google Scholar 

  45. Nichols JF, Rauh MJ, Lawson MJ, et al. Prevalence of the female athlete triad syndrome among high school athletes. Arch Pediatr Adolesc Med 2006; 160: 137–42

    Article  PubMed  Google Scholar 

  46. Byrne S, McLean N. Eating disorders in athletes: a review of the literature. J Sci Med Sport 2001; 4 (2): 145–59

    Article  PubMed  CAS  Google Scholar 

  47. Stice E. Risk andmaintenance factors for eating pathology: a meta-analytic review. Psychol Bull 2002; 128 (5): 825–48

    Article  PubMed  Google Scholar 

  48. American College of Sports Medicine Position Stand. The female athletic triad [online]. Available from URL: http://www.acsm-msse.org/pt/pt-core/template-journal/msse/media/0597.pdf [Accessed 2009 May 5]

  49. Golden NH. A review of the female athlete triad (amenorrhea, osteoporosis and disordered eating). Int J Adolesc Med Health 2002; 14 (1): 9–17

    Article  PubMed  Google Scholar 

  50. Mercer PW, Merritt SL, Cowell JM. Differences in reported sleep need among adolescents. J Adolesc Health 1998; 23: 259–63

    Article  PubMed  CAS  Google Scholar 

  51. Wolfson AR, Carskadon MA. Sleep schedules and daytime functioning in adolescents. Child Devel 1998; 69: 875–87

    CAS  Google Scholar 

  52. Camhi SL, Morgan WJ, Pernisco N, et al. Factors affecting sleep disturbances in children and adolescents. Sleep Med 2000; 1: 117–23

    Article  PubMed  Google Scholar 

  53. Wolbeek M, van Doornen LJP, Kavelaars K, et al. Severe fatigue in adolescents: a common phenomenon? Pediatrics 2006; 117: e1078–86

    Article  Google Scholar 

  54. Caruso CC, Hitchcock EM, Dick RB, et al. NIOSH Publication No. 2004-143: overtime and extended work shifts:recent findings on illnesses, injuries and health behaviors [online]. Available from URL: http://www.cdc.gov/niosh/docs/2004-143/ [Accessed 2009 May 5]

  55. Koslowsky M, Babkoff H. Meta-analysis of the relationship between total sleep deprivation and performance. Chronobiol Int 1992; 9: 132–6

    Article  PubMed  CAS  Google Scholar 

  56. Elliot DL, Kuehl KS. Effects of sleep deprivation on fire fighters and EMS responders [online]. Available from URL: http://www.iafc.org/associations/4685/files/progsSleep_SleepDeprivationReport.pdf [Accessed 2008 May 9]

  57. Lyznicki JM, Doege TC, Davis RM, et al. Sleepiness, driving, and motor vehicle crashes. JAMA 1998; 279: 1908–13

    Article  PubMed  CAS  Google Scholar 

  58. van Dongen HPA, Maislin G, Mullington JM, et al. The cumulative cost of additional wakefulness: dose-responseeffects on neurobehavioral functions and sleep physiologyfrom chronic sleep restriction and total sleep deprivation. Sleep 2003; 26: 117–26

    PubMed  Google Scholar 

  59. Durmer JS, Dinges DF. Neurocognitive consequences of sleep deprivation. Semin Neurol 2005; 25: 117–29

    Article  PubMed  Google Scholar 

  60. Rouch I, Wild P, Ansiau D, et al. Shiftwork experience, age and cognitive performance. Ergonomics 2005; 48 (10): 1282–93

    Article  PubMed  Google Scholar 

  61. Stickgold R. Sleep-dependent memory consolidation. Nature 2005; 437: 1272–8

    Article  PubMed  CAS  Google Scholar 

  62. Tucker P, Barton J, Folkard S. Comparison of eight and 12 hour shifts: impacts on health, wellbeing, and alertnessduring the shift. Occup Environ Med 1996; 53: 767–72

    Article  PubMed  CAS  Google Scholar 

  63. Dawson D. Heavy drinking and the risk of occupational injury. Accid Anal Prev 1994; 26 (5): 655–65

    Article  PubMed  CAS  Google Scholar 

  64. Falleti MG, Maruff P, Collie A, et al. Qualitative similarities in cognitive impairment associated with 24 h ofsustained wakefulness and a blood alcohol concentrationof 0.05%. J Sleep Res 2003; 12 (4): 265–74

    Article  PubMed  Google Scholar 

  65. Reilly T, Edwards B. Altered sleep-wake cycles and physical performance in athletes. Physiol Behavior 2007; 90: 274–84

    Article  CAS  Google Scholar 

  66. Smith RS, Guilleminault C, Efron B. Circadian rhythms and enhanced athletic performance in the National Football League. Sleep 1997; 20: 362–5

    PubMed  CAS  Google Scholar 

  67. Athletes need peak sleep for peak performance [online]. Available from URL: http://medsleep.wordpress.com/2010/03/01/athletes-need-peak-sleep-for-peak-performance/ [Accessed 2010 April 16]

  68. Fisher M, Juszczak L, Friedman SB. Sports participation in an urban high school: academic and psychologic correlates. J Adoles Health 1996; 18: 329–34

    Article  CAS  Google Scholar 

  69. Naylor AH, Gardner D, Zaichkowsky L. Drug use patterns among high school athletes and nonathletes. Adolescence 2001; 36: 627–39

    PubMed  CAS  Google Scholar 

  70. Peck SC, Vida M, Eccles JS. Adolescent pathways to adulthood drinking: sport activity involvement is notnecessarily risky or protective. Addiction 2008 May; 103 Suppl. 1: 69–83

    Article  PubMed  Google Scholar 

  71. Eaton DK, Kann L, Kinchen S, et al. Youth risk behavior surveillance: United States, 2007. Morb Mortal Weekly Rep 2008; 57: 1–136

    Google Scholar 

  72. Moskowitz H. Adverse effects of alcohol and other drugs on human performance. Alcohol Health Res World 1985; 9 (4): 11–5

    Google Scholar 

  73. Podolsky DM, Richards D. Investigating the role of substance abuse in occupational injuries. Alcohol Health Res World 1985; 9 (4): 42–5

    Google Scholar 

  74. Hingson RW, Heeren T, Jamanka A, et al. Age of drinking onset and unintentional injury involvement after drinking. JAMA 2000; 284 (12): 1527–33

    Article  PubMed  CAS  Google Scholar 

  75. Hingson RW, Lederman RI, Walsh DC. Employee drinking patterns and accidental injury: a study of four New England states. J Stud Alcohol 1984; 46 (4): 298–303

    Google Scholar 

  76. Holcom ML, Lehman WEK, Simpson DD. Employee accidents: influences of personal characteristics, job characteristics,and substance use in jobs differing in accidentpotential. J Saf Res 1993; 24 (4): 205–21

    Article  Google Scholar 

  77. Spirito A, Rasile DA, Vinnick LA, et al. Relationship between substance use and self-reported injuries amongadolescents. J Adolesc Health 1997; 21 (4): 221–4

    Article  PubMed  CAS  Google Scholar 

  78. Shipp EM, Tortolero SR, Cooper SP, et al. Substance use and occupational injuries among high school students inSouth Texas. Am J Drug Alcohol Abuse 2005; 31 (2): 253–65

    PubMed  Google Scholar 

  79. Hommer DW. Male and female sensitivity to alcoholinduced brain damage. Alcohol Res Health 2003; 27: 181–5

    PubMed  Google Scholar 

  80. Wadsworth EJ, Moss SC, Simpson SA, et al. A community based investigation of the association between cannabisuse, injuries and accidents. J Psychopharm 2006; 20: 5–13

    Article  CAS  Google Scholar 

  81. White AM. What happened? Alcohol, memory blackouts, and the brain. Alcohol Res Health 2003; 27: 186–96

    PubMed  Google Scholar 

  82. Barnes MJ, Mündel T, Stannard SR. Acute alcohol consumption aggravates the decline in muscle performancefollowing strenuous eccentric exercise. J Sci Med Sport 2010; 13: 189–93

    Article  PubMed  Google Scholar 

  83. Andersen MB, Williams JM. A model of stress and athletic injury: prediction and prevention. J Sport Exerc Psychol 1988; 10: 294–306

    Google Scholar 

  84. Williams JM, Anderson MB. Psychological antecedents of sport injury: review and critique of the stress and injurymodel. J Applied Sport Psychol 1998; 10: 5–25

    Article  Google Scholar 

  85. Junge A. The influence of psychological factors on sports injuries: review of the literature. Am J Sports Med 2002; 28 (5 Suppl.): S10–5

    Google Scholar 

  86. Kleinert J. Mood states and perceived physical states as short term prediction of sport injuries: two prospectivestudies. Int J Sport Exerc Psycho 2007; 5: 340–51

    Article  Google Scholar 

  87. Byrne DG, Davenport SC, Mazanov J. Profiles of adolescent stress: the development of the adolescent stressquestionnaire (ASQ). J Adolesc 2007; 30: 395–416

    Article  Google Scholar 

  88. Galambos SA, Terry PC, Moyle GM, et al. Psychological predictions of injury among elite athletes. Br J Sports Med 2005; 39: 351–4

    Article  PubMed  CAS  Google Scholar 

  89. Brooks TL, Harris SK, Thrall JS, et al. Association of adolescent risk behaviors with mental health symptoms inhigh school students. J Adolesc Health 2002; 31: 240–6

    Article  PubMed  Google Scholar 

  90. Schraedley PK, Gotlib IH, Hayward C. Gender differences in correlates of depressive symptoms in adolescents. J Adolesc Health 1999; 25: 98–108

    Article  PubMed  CAS  Google Scholar 

  91. Van Mechelen W, Twisk J, Molendijk A, et al. Subjectrelated risk factors for sports injuries: a 1-year prospectivestudy in young adults. Med Sci Sports Exerc 1996; 28: 1171–9

    Article  PubMed  Google Scholar 

  92. American Association of University Women. How schools shortchange girls — the AAUW report: a study of major findings in girls and education [online]. Available from URL: http://www.aauw.org/research/schoolsShortchange.cfm [Accessed 2009 May 5]

  93. Clay D, Vignoles VL, Dittmar H. Body image and selfesteem among adolescent girls: testing the influence ofsociocultural factors. J Res Adolesc 2005; 15: 451–77

    Article  Google Scholar 

  94. Blackwell B, McCullagh P. The relationship of athletic injury to life stress, competitive anxiety and coping resources. Athletic Train 1990; 25: 23–7

    Google Scholar 

  95. Smith AM, Stuart MJ, Wiese-Bjornstahl DM, et al. Competitive athletes: preinjury and postinjury mood state andself-esteem. Mayo Clin Proc 1993; 68: 939–47

    Article  PubMed  CAS  Google Scholar 

  96. Johnson U, Ekengren J, Anderson MB. Injury prevention in Sweden: helping soccer players at risk. J Sport Exerc Psychol 2005; 27: 32–8

    Google Scholar 

  97. Kerr G, Gross J. The effects of a stress management program on injuries and stress levels. J Applied Sport Psychol 1996; 8: 109–17

    Article  Google Scholar 

  98. May JR, Brown L. Delivery of psychological service to the US alpine ski team prior to and during the Olympics inCalgary. Sport Psychol 1989; 3: 320–9

    Google Scholar 

  99. Schomer HH. A cognitive strategy training program for marathon runners: ten case studies. S Afr J Res Sport,Phys Ed Recr 1990; 13: 47–78

    Google Scholar 

  100. Davis JO. Sport injuries and stress management: an opportunity for research. Sport Psychol 1991; 5: 175–82

    Google Scholar 

  101. Bahr R, Kosshaug T. Understanding injury mechanisms: a key component of prevention injuries in sports. Br JSports Med 2005; 39: 324–9

    Article  CAS  Google Scholar 

  102. Mandelbaum BR, Silvers HJ, Watanabe DS, et al. Effectiveness of a neuromuscular and proprioceptive trainingprogram in preventing anterior cruciate ligament injuriesin female athletes. Am J Sports Med 2005; 33: 1003–10

    Article  PubMed  Google Scholar 

  103. Grindstaff TL, Hammill RR, Tuzson AE, et al. Neuromuscular control training programs and noncontactanterior cruciate ligament injury rates in female athletes: anumbers-needed-to-treat analysis. J Athl Train 2006; 41: 450–6

    PubMed  Google Scholar 

  104. Hewett TE, Ford KR, Myer GD. Anterior cruciate ligament injuries in female athletes, part 2: a meta-analysis ofneuromuscular interventions aimed at injury prevention. Am J Sports Med 2006; 34: 490–9

    Article  PubMed  Google Scholar 

  105. McGuine T. Sports injuries in high school athletes: a review of injury-risk and injury-prevention research. Clin J Sport Med 2006; 16: 488–99

    Article  PubMed  Google Scholar 

  106. Abernethy L, Bleakley C. Strategies to prevent injury in adolescent sport: a systematic review. Br J Sports Med 2007; 41: 627–38

    Article  PubMed  Google Scholar 

  107. Renstrom R, Ljungqvist A, Arendt E, et al. Non-contact ACL injuries in female athletes: an International Olympic Committee current concepts statement. Br J Sports Med 2008; 42: 392–412

    Article  Google Scholar 

  108. Alentorn-Geli E, Myer GD, Silvers HJ, et al. Prevention of non-contact anterior cruciate ligament injuries in soccerplayers, part 2: a review of prevention programs aimed tomodify risk factors and to reduce injuries. Knee Surg Sports Traumatol Arthrosc 2009; 17: 859–79

    Article  PubMed  Google Scholar 

  109. Steffen K, Myklebust G, Olsen OE, et al. Preventing injuries in female youth football: a cluster-randomized controlledtrial. Scan J Med Sci Sports 2008; 18 (5): 605–14

    Article  CAS  Google Scholar 

  110. Vescovi JD, VanHeest JL. Effects of an anterior cruciate ligament injury prevention program on performance inadolescent female soccer players. Scand J Med Sci Sports Epub 2009 Jun; 23

    Google Scholar 

  111. Agel J, Arendt EA, Bershadsky B. Anterior cruciate ligament injury in national collegiate athletic associationathletic association basketball and soccer: a 13-year review. Am J Sports Med 2005; 33: 524–30

    Article  PubMed  Google Scholar 

  112. Mihata LCS, Beutler AI, Boden BP. Comparing the incidence of anterior cruciate ligament injury in collegiatelacrosse, soccer, and basketball players. Am J Sports Med 2006; 34: 899–904

    Article  PubMed  Google Scholar 

  113. Goldberg L, Elliot D, Clarke GN, et al. Effects of a multidimensional anabolic steroid prevention intervention: the Adolescents Training and Learning to Avoid Steroids ATLAS program. JAMA 1996; 276: 1555–62

    Article  PubMed  CAS  Google Scholar 

  114. Goldberg L, MacKinnon DP, Elliot DL, et al. The adolescents training and learning to avoid steroids program:preventing drug use and promoting healthy behaviors. Arch Ped Adolesc Med 2000; 154: 332–8

    CAS  Google Scholar 

  115. Elliot DL, Goldberg L, Moe EL, et al. Preventing substance use and disordered eating: initial outcomes of theATHENA (athletes targeting healthy exercise and nutritionalternatives) program. Arch Pediatr Adolesc Med 2004; 58(11): 1043–9

    Article  Google Scholar 

  116. Elliot DL, Moe EL, Goldberg L, et al. Definition and outcome of a curriculum to prevent disordered eating andbody-shaping drug use. J School Health 2006; 76 (2): 67–73

    Article  PubMed  Google Scholar 

  117. Elliot DL, Goldberg L, Moe EL, et al. Long-term outcomes of the ATHENA (Athletes Targeting Healthy Exercise & Nutrition Alternatives) program for female highschool athletes. J Alcohol Drug Edu 2008; 52: 73–92

    Google Scholar 

  118. Robertson EB, David SL, Rao SA. Preventing drug abuse among children and adolescents. 2nd ed. Washington,DC: US Government Printing Office, 2003: NIH Publicationnumber 04-4212 [online]. Available from URL: http://www.drugabuse.gov/pdf/prevention/RedBook.pdf [Accessed 2006 Jan 2]

    Google Scholar 

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Acknowledgements

Funding for this review was supported in part by the Research Center for Gender-Based Medicine at Oregon Health & Science University. ATLAS and ATHENA are programmes on the Substance Abuse and Mental Health Services Administration’s National Registry of Evidence-based Programs and Practices, and they are distributed through the Center for Health Promotion Research at Oregon Health & Science University (OHSU). OHSU and Drs Elliot and Goldberg have a financial interest from the sale of those technologies. This potential conflict of interest has been reviewed and managed by the OHSU Conflict of Interest in Research Committee. Dr Kuehl has reported no conflicts of interest that are directly relevant to the content of this review.

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Elliot, D.L., Goldberg, L. & Kuehl, K.S. Young Women’s Anterior Cruciate Ligament Injuries. Sports Med 40, 367–376 (2010). https://doi.org/10.2165/11531340-000000000-00000

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