scholarly journals Functional Return to Play after Surgical Treatment of Lower-Extremity Injuries using Global Positioning System Profiles in Elite College Football Players

2017 ◽  
Vol 2 (3) ◽  
pp. 2473011417S0004
Author(s):  
Norman Waldrop ◽  
Lyle Cain ◽  
Benton Emblom ◽  
Michael Ryan

Category: Sports Introduction/Purpose: Return to sport criteria after surgical treatment of lower extremity injuries are highly variable and without consensus. Thigh measurements assessing atrophy, single-leg hop testing and isokinetic strength measurements are commonly used metrics when considering return to sport after surgical treatment of lower-extremity injuries. Yet, these modalities are limited in scope, as they do not fully or accurately evaluate functional movements required in elite athletics. Alternatively, using new Global Positioning System (GPS) technology, a wide breadth of functional movements can be tracked for each athlete, which can be used as a comparative self-control in the event of an injury. This data proposes a more comprehensive, dynamic and longitudinal comparison of athlete performance, which may more accurately reflect functional return to sport in elite athletes after surgery. Methods: Over a three-year period, GPS data was collected on thirteen elite American College Football players at a single FBS Subdivision University. A total of 300 data points per athlete were collected for every practice, scrimmage and game starting in spring prep and extending through regular season, and post-season play. A total of 5.7 million data points including total distance traveled, average and maximum velocity, acceleration profiles, and explosive change of direction through inertial movement analysis were prospectively collected and analyzed. Individual pre-injury GPS functional profiles for each of the thirteen athletes were used as baseline, healthy comparisons, and functional recovery was determined prospectively during return to play progression after lower extremity surgery. Return to sport was allowed when post-operative GPS profiles demonstrated equivalence or superiority of all parameters compared to pre-injury measurements. Results: All thirteen players returned to sport after all measured parameters were equal to or greater than pre-injury levels. Conclusion: Modern GPS technology employed during preseason, regular season and post-season establishes an individualized, baseline, profile of lower-extremity function which allows for postoperative comparison and prospective assessment of safe return to play in elite football players.

2021 ◽  
Vol 9 (5) ◽  
pp. 232596712110034
Author(s):  
Toufic R. Jildeh ◽  
Fabien Meta ◽  
Jacob Young ◽  
Brendan Page ◽  
Kelechi R. Okoroha

Background: Impaired neuromuscular function after concussion has recently been linked to increased risk of lower extremity injuries in athletes. Purpose: To determine if National Football League (NFL) athletes have an increased risk of sustaining an acute, noncontact lower extremity injury in the 90-day period after return to play (RTP) and whether on-field performance differs pre- and postconcussion. Study Design: Cohort study, Level of evidence, 3. Methods: NFL concussions in offensive players from the 2012-2013 to the 2016-2017 seasons were studied. Age, position, injury location/type, RTP, and athlete factors were noted. A 90-day RTP postconcussive period was analyzed for lower extremity injuries. Concussion and injury data were obtained from publicly available sources. Nonconcussed, offensive skill position NFL athletes from the same period were used as a control cohort, with the 2014 season as the reference season. Power rating performance metrics were calculated for ±1, ±2, and ±3 seasons pre- and postconcussion. Conditional logistic regression was used to determine associations between concussion and lower extremity injury as well as the relationship of concussions to on-field performance. Results: In total, 116 concussions were recorded in 108 NFL athletes during the study period. There was no statistically significant difference in the incidence of an acute, noncontact lower extremity injury between concussed and control athletes (8.5% vs 12.8%; P = .143), which correlates with an odds ratio of 0.573 (95% CI, 0.270-1.217). Days (66.4 ± 81.9 days vs 45.1 ± 69.2 days; P = .423) and games missed (3.67 ± 3.0 vs 2.9 ± 2.7 games; P = .470) were similar in concussed athletes and control athletes after a lower extremity injury. No significant changes in power ratings were noted in concussed athletes in the acute period (±1 season to injury) when comparing pre- and postconcussion. Conclusion: Concussed, NFL offensive athletes did not demonstrate increased odds of acute, noncontact, lower extremity injury in a 90-day RTP period when compared with nonconcussed controls. Immediate on-field performance of skill position players did not appear to be affected by concussion.


2019 ◽  
Vol 20 (6) ◽  
pp. 839-844
Author(s):  
Parisa Namazi ◽  
Mostafa Zarei ◽  
Hamed Abbasi ◽  
Fariborz Hovanloo ◽  
Nikki Rommers ◽  
...  

2014 ◽  
Vol 48 (7) ◽  
pp. 645.1-645
Author(s):  
A Nilstad ◽  
TE Andersen ◽  
R Bahr ◽  
IM Holme ◽  
K Steffen

2018 ◽  
Vol 33 (01) ◽  
pp. 43-50
Author(s):  
Felix Fischer ◽  
Christian Hoser ◽  
Cornelia Blank ◽  
Wolfgang Schobersberger ◽  
Caroline Hepperger ◽  
...  

Abstract Purpose and Hypothesis With its load characteristics, the team sport of football places high physical demands on players and thus is associated with a high risk of injury. Therefore, the purpose of this study was to collect information about injuries suffered by football players in Austria during training or matches to enable participating clubs to learn about injuries. Methods One hundred and forty-five players from seven teams with age ranging from 16 to 38 years participated in this prospective study during the 2015/16 season. Injury surveillance was conducted according to the consensus statement of Fuller et al. (2006). Results During the period of study, a total of 83 injuries were recorded, which represents an overall incidence of 4.5 injuries/1000 hours (2.3 injuries/1000 hours in training and 14.2 injuries/1000 hours of match play). There was a significant difference for older age in injured players compared to non-injured players (p = 0.019). No differences in BMI were detected (p = 0.427). Ninety-four percent of all injuries occurred in the lower extremity, with the thigh (25.8 %), ankle (19.3 %) and knee (13.3 %) being the major locations of injuries. Muscle tendon injuries were the most common non-contact injuries (78.9 %). Conclusion Lower extremity injuries are the most common injury in Austrian football. The incidence of muscle injuries is high, especially injuries of the posterior thigh. There are promising preventive strategies for the most common injury types. The implementation of these strategies is essential in order to reduce the incidence or recurrence of these football injuries.


2017 ◽  
Vol 52 (16) ◽  
pp. 1047-1053 ◽  
Author(s):  
Arnhild Bakken ◽  
Stephen Targett ◽  
Tone Bere ◽  
Cristiano Eirale ◽  
Abdulaziz Farooq ◽  
...  

BackgroundThe 9+ screening battery test consists of 11 tests to assess limitations in functional movement.AimTo examine the association of the 9+ with lower extremity injuries and to identify a cut-off point to predict injury risk.MethodsProfessional male football players in Qatar from 14 teams completed the 9+ at the beginning of the 2013/2014 and 2014/2015 seasons. Time-loss injuries and exposure in training and matches were registered prospectively by club medical staff during these seasons. Univariate and multivariate Cox regression analyses were used to calculate HR and 95% CI. Receiver operating characteristic (ROC) curves were calculated to determine sensitivity and specificity and identify the optimal cut-off point for risk assessment.Results362 players completed the 9+ and had injury and exposure registration. There were 526 injuries among 203 players (56.1%) during the two seasons; injuries to the thigh were the most frequent. There was no association between 9+ total score and the risk of lower extremity injuries (HR 1.02, 95% CI 0.99 to 1.05, p=0.13), even after adjusting for other risk factors in a multivariate analysis (HR 1.01, 95% CI 0.98 to 1.04, p=0.37). ROC curve analysis revealed an area under the curve of 0.48, and there was no cut-off point that distinguished injured from non-injured players.ConclusionThe 9+ was not associated with lower extremity injury, and it was no better than chance for distinguishing between injured and uninjured players. Therefore, the 9+ test cannot be recommended as an injury prediction tool in this population.


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