Age and Sex Comparisons in Pediatric Track and Field Hurdle Injuries Seen in Emergency Departments of the US
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Data Source
2.2. Data Classifications and Main Outcome Measures
2.3. Statistical Analysis
3. Results
3.1. Demographics and Injury Characteristics
3.2. Injury Types and Injured Body Parts by Age
3.3. Injury Types and Injured Body Parts by Sex
3.4. Injury Mechanism by Age and Sex
4. Discussion
4.1. Injury Types
4.2. Injured Body Parts
4.3. Injury Mechanism
4.4. Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- NFHS. NFHS 2018-19 High School Athletics Participation Survey; National Federation of State High School Associations (NFHS): Indianapolis, Indiana, 2018. [Google Scholar]
- Aspen Institute. The Aspen Institute Project Play State of Play 2020; Aspen Institute: Washington, DC, USA, 2019. [Google Scholar]
- USA Track & Field. Hurdle Heights and Placement. Available online: http://legacy.usatf.org/usatf/files/b3/b3480ead-a013-44b3-8bb3-96d9778503d2.pdf (accessed on 15 March 2021).
- Reid, J.P.; Nelson, N.G.; Roberts, K.J.; McKenzie, L.B. Track-Related Injuries in Children and Adolescents Treated in US Emergency Departments from 1991 through 2008. Phys. Sportsmed. 2012, 40, 56–63. [Google Scholar] [CrossRef]
- Pierpoint, L.A.; Williams, C.M.; Fields, S.K.; Comstock, R.D. Epidemiology of Injuries in United States High School Track and Field: 2008–2009 through 2013–2014. Am. J. Sports Med. 2016, 44, 1463–1468. [Google Scholar] [CrossRef]
- D’Souza, D. Track and Field Athletics Injuries—A One-Year Survey. Br. J. Sports Med. 1994, 28, 197–202. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Watson, M.D.; DiMartino, P.P. Incidence of Injuries in High School Track and Field Athletes and Its Relation to Performance Ability. Am. J. Sports Med. 1987, 15, 251–254. [Google Scholar] [CrossRef] [PubMed]
- Radel, L.C.; Jones, J.C.; Garcia, K.; Soma, D.B.; Miller, S.M.; Sugimoto, D. Pediatric Hurdle-Related Acute Injuries in Track and Field Presenting to US Emergency Departments: Descriptive Epidemiology Study. Phys. Sportsmed. 2022, 1–8. [Google Scholar] [CrossRef]
- Hopkins, C.; Williams, J.; Rauh, M.J.; Zhang, L. Epidemiology of NCAA Track and Field Injuries From 2010 to 2014. Orthop. J. Sports Med. 2022, 10, 23259671211068080. [Google Scholar] [CrossRef]
- Boltz, A.J.; Roby, P.R.; Robison, H.J.; Morris, S.N.; Collins, C.L.; Chandran, A. Epidemiology of Injuries in National Collegiate Athletic Association Men’s Track and Field: 2014–2015 through 2018–2019. J. Athl. Train. 2021, 56, 788–794. [Google Scholar] [CrossRef] [PubMed]
- Chandran, A.; Morris, S.N.; Roby, P.R.; Boltz, A.J.; Robison, H.J.; Collins, C.L. Epidemiology of Injuries in National Collegiate Athletic Association Women’s Track and Field: 2014–2015 through 2018–2019. J. Athl. Train. 2021, 56, 780–787. [Google Scholar] [CrossRef]
- Joseph, A.M.; Collins, C.L.; Henke, N.M.; Yard, E.E.; Fields, S.K.; Comstock, R.D. A Multisport Epidemiologic Comparison of Anterior Cruciate Ligament Injuries in High School Athletics. J. Athl. Train. 2013, 48, 810–817. [Google Scholar] [CrossRef] [Green Version]
- Montalvo, A.M.; Schneider, D.K.; Webster, K.E.; Yut, L.; Galloway, M.T.; Heidt, R.S.J.; Kaeding, C.C.; Kremcheck, T.E.; Magnussen, R.A.; Parikh, S.N.; et al. Anterior Cruciate Ligament Injury Risk in Sport: A Systematic Review and Meta-Analysis of Injury Incidence by Sex and Sport Classification. J. Athl. Train. 2019, 54, 472–482. [Google Scholar] [CrossRef] [Green Version]
- Stracciolini, A.; Casciano, R.; Levey Friedman, H.; Meehan, W.P., 3rd; Micheli, L.J. Pediatric Sports Injuries: An Age Comparison of Children versus Adolescents. Am. J. Sports Med. 2013, 41, 1922–1929. [Google Scholar] [CrossRef]
- Rosendahl, K.; Strouse, P.J. Sports Injury of the Pediatric Musculoskeletal System. Radiol. Med. 2016, 121, 431–441. [Google Scholar] [CrossRef]
- Keays, G.; Friedman, D.; Gagnon, I. A 20-Year Comparison of Football-Related Injuries in American and Canadian Youth Aged 6 to 17 Years: A Replication Study. Clin. Pediatr. 2016, 55, 603–613. [Google Scholar] [CrossRef]
- Geertsema, C.; Geertsema, L.; Farooq, A.; Harøy, J.; Oester, C.; Weber, A.; Bahr, R. Injury Prevention Knowledge, Beliefs and Strategies in Elite Female Footballers at the FIFA Women’s World Cup France 2019. Br. J. Sports Med. 2021, 55, 801–806. [Google Scholar] [CrossRef]
- Materne, O.; Chamari, K.; Farooq, A.; Weir, A.; Hölmich, P.; Bahr, R.; Greig, M.; McNaughton, L.R. Association of Skeletal Maturity and Injury Risk in Elite Youth Soccer Players: A 4-Season Prospective Study With Survival Analysis. Orthop. J. Sports Med. 2021, 9, 2325967121999113. [Google Scholar] [CrossRef]
- DeFrancesco, C.J.; Wilson, L.; Lebrun, D.G.; Memtsoudis, S.G.; Fabricant, P.D. Pediatric Tibial Spine Fractures: Exploring Case Burden by Age and Sex. Orthop. J. Sports Med. 2021, 9, 23259671211027236. [Google Scholar] [CrossRef]
- Kim, M.; Moeller, E.; Thaller, S.R. Sports-Related Craniofacial Injuries Among Pediatric and Adolescent Females: A National Electronic Injury Surveillance System Database Study. J. Craniofac. Surg. 2021, 32, 1603–1606. [Google Scholar] [CrossRef] [PubMed]
- Wagner, K.J.; Sabatino, M.J.; Zynda, A.J.; Gans, C.V.; Chung, J.S.; Miller, S.M.; Wilson, P.L.; Ellis, H.B. Activity Measures in Pediatric Athletes: A Comparison of the Hospital for Special Surgery Pediatric Functional Activity Brief Scale and Tegner Activity Level Scale. Am. J. Sports Med. 2020, 48, 985–990. [Google Scholar] [CrossRef]
- Anzalone, A.J.; Turner, S.M.; Baleztena, A.C.; McGuffin, T.; Creed, K.; Jeromin, A.; Wilson, D.; Hanlon, D.; Garrison, J.C.; Blueitt, D.; et al. Blood Biomarkers of Sports-Related Concussion in Pediatric Athletes. Clin. J. Sport Med. Off. J. Can. Acad. Sport Med. 2021, 31, 250–256. [Google Scholar] [CrossRef] [PubMed]
- National Electronic Injury Surveillance System (NEISS). Research & Statistics; United States Consumer Product Safety Comission; NEISS: Bethesda, MD, USA, 2021. [Google Scholar]
- Timpka, T.; Alonso, J.-M.; Jacobsson, J.; Junge, A.; Branco, P.; Clarsen, B.; Kowalski, J.; Mountjoy, M.; Nilsson, S.; Pluim, B.; et al. Injury and Illness Definitions and Data Collection Procedures for Use in Epidemiological Studies in Athletics (Track and Field): Consensus Statement. Br. J. Sports Med. 2014, 48, 483–490. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Benjaminse, A.; Gokeler, A.; Fleisig, G.S.; Sell, T.C.; Otten, B. What Is the True Evidence for Gender-Related Differences during Plant and Cut Maneuvers? A Systematic Review. Knee Surg. Sports Traumatol. Arthrosc. Off. J. ESSKA 2011, 19, 42–54. [Google Scholar] [CrossRef] [Green Version]
- Arendt, E.; Dick, R. Knee Injury Patterns among Men and Women in Collegiate Basketball and Soccer. NCAA Data and Review of Literature. Am. J. Sports Med. 1995, 23, 694–701. [Google Scholar] [CrossRef] [PubMed]
- Kerr, Z.Y.; Chandran, A.; Nedimyer, A.K.; Arakkal, A.; Pierpoint, L.A.; Zuckerman, S.L. Concussion Incidence and Trends in 20 High School Sports. Pediatrics 2019, 144, e20192180. [Google Scholar] [CrossRef] [PubMed]
- Gupta, A.S.; Pierpoint, L.A.; Comstock, R.D.; Saper, M.G. Sex-Based Differences in Anterior Cruciate Ligament Injuries Among United States High School Soccer Players: An Epidemiological Study. Orthop. J. Sports Med. 2020, 8, 2325967120919178. [Google Scholar] [CrossRef] [PubMed]
- Gornitzky, A.L.; Lott, A.; Yellin, J.L.; Fabricant, P.D.; Lawrence, J.T.; Ganley, T.J. Sport-Specific Yearly Risk and Incidence of Anterior Cruciate Ligament Tears in High School Athletes: A Systematic Review and Meta-Analysis. Am. J. Sports Med. 2016, 44, 2716–2723. [Google Scholar] [CrossRef] [PubMed]
- Pacey, V.; Nicholson, L.L.; Adams, R.D.; Munn, J.; Munns, C.F. Generalized Joint Hypermobility and Risk of Lower Limb Joint Injury during Sport: A Systematic Review with Meta-Analysis. Am. J. Sports Med. 2010, 38, 1487–1497. [Google Scholar] [CrossRef]
- Konopinski, M.; Graham, I.; Johnson, M.I.; Jones, G. The Effect of Hypermobility on the Incidence of Injury in Professional Football: A Multi-Site Cohort Study. Phys. Ther. Sport 2016, 21, 7–13. [Google Scholar] [CrossRef]
- Quatman, C.E.; Ford, K.R.; Myer, G.D.; Paterno, M.V.; Hewett, T.E. The Effects of Gender and Pubertal Status on Generalized Joint Laxity in Young Athletes. J. Sci. Med. Sport 2008, 11, 257–263. [Google Scholar] [CrossRef] [Green Version]
- Lloyd, R.S.; Oliver, J.L.; Faigenbaum, A.D.; Myer, G.D.; De Ste Croix, M.B.A. Chronological Age vs. Biological Maturation: Implications for Exercise Programming in Youth. J. Strength Cond. Res. 2014, 28, 1454–1464. [Google Scholar] [CrossRef]
- Valerio, G.; Gallè, F.; Mancusi, C.; Di Onofrio, V.; Colapietro, M.; Guida, P.; Liguori, G. Pattern of Fractures across Pediatric Age Groups: Analysis of Individual and Lifestyle Factors. BMC Public Health 2010, 10, 656. [Google Scholar] [CrossRef] [Green Version]
- Zacay, G.; Dubnov-Raz, G.; Modan-Moses, D.; Tripto-Shkolnik, L.; Levy-Shraga, Y. Epidemiology of Childhood Fractures in Israel during 2000–2019. Bone 2022, 154, 116174. [Google Scholar] [CrossRef] [PubMed]
- Cooper, C.; Dennison, E.M.; Leufkens, H.G.M.; Bishop, N.; van Staa, T.P. Epidemiology of Childhood Fractures in Britain: A Study Using the General Practice Research Database. J. Bone Miner. Res. Off. J. Am. Soc. Bone Miner. Res. 2004, 19, 1976–1981. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Abbassi, V. Growth and Normal Puberty. Pediatrics 1998, 102, 507–511. [Google Scholar] [CrossRef]
- Musharafieh, R.S.; Macari, G. Salter-Harris I Fractures of the Distal Radius Misdiagnosed as Wrist Sprain. J. Emerg. Med. 2000, 19, 265–270. [Google Scholar] [CrossRef] [PubMed]
- Perron, A.D.; Miller, M.D.; Brady, W.J. Orthopedic Pitfalls in the ED: Pediatric Growth Plate Injuries. Am. J. Emerg. Med. 2002, 20, 50–54. [Google Scholar] [CrossRef] [Green Version]
- Peterson, C.A.; Peterson, H.A. Analysis of the Incidence of Injuries to the Epiphyseal Growth Plate. J. Trauma 1972, 12, 275–281. [Google Scholar] [CrossRef]
- Mizuta, T.; Benson, W.M.; Foster, B.K.; Paterson, D.C.; Morris, L.L. Statistical Analysis of the Incidence of Physeal Injuries. J. Pediatr. Orthop. 1987, 7, 518–523. [Google Scholar] [CrossRef]
- Edouard, P.; Navarro, L.; Branco, P.; Gremeaux, V.; Timpka, T.; Junge, A. Injury Frequency and Characteristics (Location, Type, Cause and Severity) Differed Significantly among Athletics (‘track and Field’) Disciplines during 14 International Championships (2007–2018): Implications for Medical Service Planning. Br. J. Sport. Med. 2020, 54, 159–167. [Google Scholar] [CrossRef]
- Hietamo, J.; Pasanen, K.; Leppänen, M.; Steffen, K.; Kannus, P.; Heinonen, A.; Vm, M.; Parkkari, J. Association between Lower Extremity Muscle Strength and Acute Ankle Injury in Youth Team-Sports Athletes. Phys. Ther. Sport 2021, 48, 188–195. [Google Scholar] [CrossRef]
- Kaminski, T.W.; Needle, A.R.; Delahunt, E. Prevention of Lateral Ankle Sprains. J. Athl. Train. 2019, 54, 650–661. [Google Scholar] [CrossRef] [Green Version]
- Tsushima, W.T.; Siu, A.M.; Ahn, H.J.; Chang, B.L.; Murata, N.M. Incidence and Risk of Concussions in Youth Athletes: Comparisons of Age, Sex, Concussion History, Sport, and Football Position. Arch. Clin. Neuropsychol. Off. J. Natl. Acad. Neuropsychol. 2019, 34, 60–69. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kerr, Z.Y.; Cortes, N.; Caswell, A.M.; Ambegaonkar, J.P.; Hallsmith, K.R.; Milbert, A.F.; Caswell, S.V. Concussion Rates in U.S. Middle School Athletes, 2015-2016 School Year. Am. J. Prev. Med. 2017, 53, 914–918. [Google Scholar] [CrossRef]
- Johnson, A.; Doherty, P.J.; Freemont, A. Investigation of Growth, Development, and Factors Associated with Injury in Elite Schoolboy Footballers: Prospective Study. BMJ 2009, 338, b490. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kemper, G.L.J.; van der Sluis, A.; Brink, M.S.; Visscher, C.; Frencken, W.G.P.; Elferink-Gemser, M.T. Anthropometric Injury Risk Factors in Elite-Standard Youth Soccer. Int. J. Sports Med. 2015, 36, 1112–1117. [Google Scholar] [CrossRef] [PubMed]
All Hurdlers | Pre-High School | High School | |
---|---|---|---|
Bony Injury | 221 (29.5%) | 154 (34.1%) | 67 (22.6%) |
Fracture (Traumatic) | 218 (29.1%) | 154 (34.1%) | 64 (21.5%) |
Growth Plate Disturbance | 2 (0.3%) | 0 (0.0%) | 2 (0.6%) |
Other Bone Injuries | 1 (0.1%) | 0 (0.0%) | 1 (0.3%) |
Joint Injury | 205 (27.4%) | 110 (24.3%) | 95 (32.0%) |
Arthritis/Synovitis/Bursitis | 2 (0.3%) | 1 (0.2%) | 1 (0.3%) |
Joint Sprain | 191 (25.5%) | 103 (22.8%) | 88 (29.6%) |
Meniscus Lesion/Cartilage | 1 (0.1%) | 1 (0.2%) | 0 (0.0%) |
Subluxation/Dislocation | 11 (1.5%) | 5 (1.1%) | 6 (2.1%) |
Muscle/Tendon Injury | 58 (7.7%) | 30 (6.7%) | 28 (9.4%) |
Muscle Cramps/Spasms | 1 (0.1%) | 0 (0.0%) | 1 (0.3%) |
Strain/Muscle Tear/Muscle Rupture | 53 (7.1%) | 27 (6.0%) | 26 (8.8%) |
Tendinosis/Tendinopathy | 4 (0.5%) | 3 (0.7%) | 1 (0.3%) |
Soft Tissue | 124 (16.6%) | 74 (16.4%) | 50 (16.8%) |
Contusion/Hematoma/Bruise | 78 (10.4%) | 51 (11.3%) | 27 (9.1%) |
Fasciitis/Aponeurosis | 1 (0.1%) | 1 (0.2%) | 0 (0.0%) |
Laceration/Abrasion/Other Skin Lesion-Related Damages | 45 (6.0%) | 22 (4.9%) | 23 (7.7%) |
Others | 141 (18.8%) | 84 (18.6%) | 57 (19.2%) |
Concussion | 18 (2.4%) | 12 (2.7%) | 6 (2.1%) |
Dental Injury/Broken Tooth | 1 (0.1%) | 1 (0.2%) | 0 (0.0%) |
Miscellaneous | 72 (9.6%) | 47 (10.4%) | 25 (8.4%) |
Multiple Diagnoses | 50 (6.7%) | 24 (5.3%) | 26 (8.8%) |
Total: | 749 (100%) | 452 (100%) | 297 (100%) |
All Hurdlers | Pre-High School | High School | |
---|---|---|---|
Head/Trunk | 83 (11.1%) | 46 (10.2%) | 37 (12.4%) |
Head | 35 (4.7%) | 22 (4.9%) | 13 (4.4%) |
Face | 15 (2.0%) | 7 (1.6%) | 8 (2.7%) |
Neck/Cervical Spine | 4 (0.5%) | 1 (0.2%) | 3 (1.0%) |
Upper Back/Thoracic Spine | 1 (0.1%) | 0 (0.0%) | 1 (0.3%) |
Sternum/Ribs | 4 (0.5%) | 4 (0.9%) | 0 (0.0%) |
Abdomen | 4 (0.5%) | 1 (0.2%) | 3 (1.0%) |
Lower Back/Lumbar Spine | 15 (2.0%) | 10 (2.2%) | 5 (1.7%) |
Sacrum | 5 (0.7%) | 1 (0.2%) | 4 (1.4%) |
Upper Extremity | 232 (31.0%) | 149 (33.0%) | 83 (28.0%) |
Shoulder/Clavicle | 31 (4.1%) | 16 (3.5%) | 15 (5.1%) |
Upper arm | 5 (0.7%) | 4 (0.9%) | 1 (0.3%) |
Elbow | 42 (5.6%) | 22 (4.9%) | 20 (6.7%) |
Forearm | 66 (8.8%) | 51 (11.3%) | 15 (5.1%) |
Wrist | 69 (9.2%) | 43 (9.5%) | 26 (8.8%) |
Hand | 13 (1.7%) | 8 (1.8%) | 5 (1.7%) |
Finger | 6 (0.8%) | 5 (1.1%) | 1 (0.3%) |
Lower Extremity | 376 (50.2%) | 223 (49.3%) | 153 (51.5%) |
Hip/Pelvis | 20 (2.7%) | 8 (1.8%) | 12 (4.0%) |
Groin | 5 (0.7%) | 4 (0.9%) | 1 (0.3%) |
Thigh | 19 (2.5%) | 11 (2.4%) | 8 (2.7%) |
Knee | 120 (16.0%) | 63 (13.9%) | 57 (19.2%) |
Lower Leg | 36 (4.8%) | 24 (5.3%) | 12 (4.0%) |
Ankle | 140 (18.7%) | 93 (20.6%) | 47 (15.8%) |
Foot/Toe | 36 (4.8%) | 20 (4.4%) | 16 (5.4%) |
Others | 58 (7.7%) | 34 (7.5%) | 24 (8.1%) |
Multiple Body Parts | 54 (7.2%) | 30 (6.6%) | 24 (8.1%) |
Missing Data | 4 (0.5%) | 4 (0.9%) | 0 (0.0%) |
Total | 749 (100%) | 452 (100%) | 297 (100%) |
Pre-High Schoolers | High Schoolers | p-Value | OR with 95%CI | |
---|---|---|---|---|
Injury Types | ||||
Fractures (Traumatic) | 34.1% | 21.5% | 0.001 * | 1.58 (1.23, 2.03) |
Joint Sprain | 22.8% | 29.6% | 0.036 * | 1.10 (1.01, 1.20) |
Contusion/Hematoma/Bruise | 11.3% | 9.1% | 0.337 | 1.24 (0.80, 1.93) |
Injured Body Parts | ||||
Ankle | 20.6% | 15.8% | 0.103 | 1.30 (0.94, 1.79) |
Knee | 13.9% | 19.2% | 0.055 | 1.07 (0.99, 1.14) |
Wrist | 9.5% | 8.8% | 0.725 | 1.09 (0.68, 1.73) |
Males | Females | p-Value | OR with 95%CI | |
---|---|---|---|---|
Injury Types | ||||
Fracture (Traumatic) | 35.1% | 24.3% | 0.001 * | 1.45 (1.16, 1.81) |
Joint Sprain | 21.0% | 29.1% | 0.012 * | 1.11 (1.03, 1.21) |
Contusion/Hematoma/Bruise | 7.5% | 12.7% | 0.020 * | 1.06 (1.01, 1.11) |
Injured Body Parts | ||||
Ankle | 12.0% | 24.0% | 0.001 * | 2.32 (1.55, 3.46) |
Knee | 14.4% | 17.3% | 0.283 | 1.04 (0.97, 1.10) |
Wrist | 11.7% | 7.3% | 0.034 * | 1.62 (1.03, 2.56) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Jones, J.; Radel, L.; Garcia, K.; Soma, D.; Miller, S.; Sugimoto, D. Age and Sex Comparisons in Pediatric Track and Field Hurdle Injuries Seen in Emergency Departments of the US. Sports 2023, 11, 65. https://doi.org/10.3390/sports11030065
Jones J, Radel L, Garcia K, Soma D, Miller S, Sugimoto D. Age and Sex Comparisons in Pediatric Track and Field Hurdle Injuries Seen in Emergency Departments of the US. Sports. 2023; 11(3):65. https://doi.org/10.3390/sports11030065
Chicago/Turabian StyleJones, Jacob, Luke Radel, Kyle Garcia, David Soma, Shane Miller, and Dai Sugimoto. 2023. "Age and Sex Comparisons in Pediatric Track and Field Hurdle Injuries Seen in Emergency Departments of the US" Sports 11, no. 3: 65. https://doi.org/10.3390/sports11030065
APA StyleJones, J., Radel, L., Garcia, K., Soma, D., Miller, S., & Sugimoto, D. (2023). Age and Sex Comparisons in Pediatric Track and Field Hurdle Injuries Seen in Emergency Departments of the US. Sports, 11(3), 65. https://doi.org/10.3390/sports11030065