scholarly journals Predictive Validity of a Functional Movement Screen in Professional Basketball Players

Medicina ◽  
2020 ◽  
Vol 56 (12) ◽  
pp. 724
Author(s):  
Donald L. Hoover ◽  
Clyde B. Killian ◽  
Rachel A. Tinius ◽  
David M. Bellar ◽  
Steven G. Wilkinson ◽  
...  

Background and objectives: Striking a balance between maximizing performance and preventing injury remains elusive in many professional sports. The purpose of this study was to assess the relative risk of non-contact injuries in professional basketball players based on predictive cut scores on the Functional Movement Screen™ (FMS). Materials and Methods: Thirty-two professional basketball players from the National Basketball Association (NBA) and Women’s National Basketball Association (WNBA) participated in this study. This observational pilot cohort study assessed and scored each participant using the FMS during training camp. Each athlete was then tracked throughout the season while recording the number, type, and time lost due to injuries. Possible exposures, actual exposures, and exposures missed due to non-contact injury (NCI) for each athlete were calculated and then used to determine the crude and specific incident rates for exposures missed due to NCI per 1000 exposures. Results: Linear regression models were used to evaluate the predictive ability of the FMS score for total missed exposures, NCI, and CI missed exposures. In all models, the FMS total score failed to attain significance as a predictor (p > 0.05). FMS scores ranged from 5 to 18. The recommended cut score of 14 showed a sensitivity of 0.474 and a specificity of 0.750. The cut score of 15 showed the best combination, exhibiting a sensitivity of 0.579 and specificity of 0.625. A total of 5784 exposures to NCI were possible for the men and women combined, and 681 possible exposures were missed. Of these, 23.5% were due to NCI, 16.5% were due to contact injuries (CI), and 60% were due to illnesses and personal reasons. Conclusions: The FMS proved to be a measure that was not associated with any injury measure in this sample of professional basketball players, suggesting the instrument lacks predictive validity in this population.

2015 ◽  
Vol 26 (6) ◽  
pp. 619-623 ◽  
Author(s):  
Michael G. Azzam ◽  
Thomas W. Throckmorton ◽  
Richard A. Smith ◽  
Drew Graham ◽  
Jim Scholler ◽  
...  

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mojtaba Asgari ◽  
Shahab Alizadeh ◽  
Anna Sendt ◽  
Thomas Jaitner

Abstract Background The validity of the Functional Movement Screen (FMS) in identifying active females who are predisposed to injury has not been specifically reviewed. This study aims to synthesize the literature on the ability of the FMS to identify at-risk active females. Methods Six online databases, including PubMed, Medline, Web of Science, Science Direct, SPORTDiscus and Google Scholar, were searched for the period of April 2006 to September 2021. Out of the 61 potential references, 17 were reviewed in detail with respect to the inclusion criteria; ten were ultimately included. The risk of bias, applicability and level of the studies were then identified using the QUADAS-2 and a checklist for assessing methodological quality. The following data were obtained from the included studies: year of publication, title, study type, participants’ demographic, sample size, FMS cutoff point, injury definition, statistical analyses used, FMS results and study level. Results Generally, the quality of eight studies was poor to moderate due to both small sample sizes and short follow-up periods. Except for a study on military members, all studies were carried out on team sports players. The overall bias of the studies was low, but there was an unclear amount of bias for participant selection. Two studies reported no predictive validity for the FMS, while three defended its predictive validity; the rest partially supported the FMS as a valid diagnostic tool. The reliability of the recommended cutoff point was confirmed, though cutoffs higher than 14 were significantly associated with the predictive ability of the FMS. Conclusion Although the FMS is reliable for clinical practice, and the current literature shows promise regarding the predictive ability of the FMS among active females, concerns remain regarding its validity in identifying at-risk females. Given the lack of clarity in the literature on the use of the FMS in females, further well-organized studies with larger sample sizes and longer monitoring periods are highly recommended. The sensitivity and specificity of the recommended cutoff of ≤ 14 has considerably decreased , and higher cutoff values should be applied to increase the FMS predictive ability. Level of evidence The level of evidence was determined to be 2b.


2021 ◽  
Vol 74 (3) ◽  
Author(s):  
Giuseppe FRANCAVILLA ◽  
Valerio BONAVOLONTÀ ◽  
Stefania CATALDI ◽  
Vito F. FASANO ◽  
Giuseppe MESSINA ◽  
...  

2016 ◽  
Vol 1 (100) ◽  
pp. 47-54
Author(s):  
Saulė Salatkaitė ◽  
Toma Garbenytė Apolinskienė ◽  
Laimonas Šiupšinskas ◽  
Alma Kajėnienė ◽  
Rimtautas Gudas

Background. Basketball is a popular sport around the world, the number of players is growing, the probability to experience trauma is increasing, too. Studies have shown that women sustain 60% more injuries than men do. Pre- season physical examination helps to establish sports specific changes in the body of the athlete and to determine risk factors for training, competition, which cause injury to the players. Research aim was to analyse risk of non-contact musculoskeletal injuries in elite women basketball players according to the position on the court. Methods. The study involved 100 players in Lithuanian women basketball league who completed the questionnaire about the level of physical fatigue, performed Lower Quarter Y Balance Test™ and Functional Movement Screen ™ tests during pre-season physical examination in 2014. Data were analysed and compared according to player’s position on the court (guards and forwards). Results. The level of physical fatigue during pre-season period was low in both groups. Dynamic stability of the right leg was better in guards (composite score – 105.2 to 101.8 in forwards) while dynamic stability of the left leg remained the same in both groups. Guards had higher total scores in Functional Movement Screen™ tests pointing to the better quality of basic functional movement patterns. Conclusions. The guard’s playing efficiency during the season was higher than that of forwards and it was associated with better dynamic stability and higher level of physical fatigue at pre-season. Indirect indicators of non-contact musculoskeletal sport injuries showed that guards should have lower risk of non-contact sport-related injuries in women basketball.


2021 ◽  
Vol 18 (3) ◽  
pp. 390-399
Author(s):  
Şeyda Nur Usluer ◽  
Zait Burak Aktuğ ◽  
Serkan İbiş ◽  
Hasan Aka

The aim of this study is to examine the effect of 8-week corrective exercises applied to 12-15 age group basketball players on Functional Movement Screen Test (FMS) and motor skill (MS) score. 65 volunteer children between the ages of 12-15 participated in the study. The children were the control group (CG) (N = 25) who did not do any exercise, the basketball group that only trained basketball (BG) (N = 20), and the corrective exercise group (CEG) (N = 20) that did corrective exercises in addition to basketball training. It is divided into 3 groups. Basketball training was applied to children on BG 3 days a week. In addition to basketball training, an 8-week corrective exercise protocol was applied to the children in CEG. Functional movement patterns of children were determined with FMS test and MSs with Deutscher Motor Test (DMT). Kruskal-Wallis H Test was used to determine the differences children's pre-tests and post-tests after corrective exercises. As a result of the statistical analysis, a statistically significant difference was found between the pre-test and post-tests of FMS total scores and DMT scores in CEG (p<0.05). As a result, it has been shown that corrective exercises contribute to FMS total scores and the MS development of children. It is thought that the placement of corrective exercises in the training contents can increase the MSs of children. ​Extended English summary is in the end of Full Text PDF (TURKISH) file. Özet   Bu çalışmasının amacı, 12-15 yaş grubu basketbolculara uygulanan 8 haftalık düzeltici egzersizlerin fonksiyonel hareket tarama testi (FHT) ve motor beceri (MB) puanı üzerine etkisinin incelenmesidir. Çalışmaya 12-15 yaş arası 65 gönüllü çocuk katılmıştır. Çocuklar herhangi bir egzersiz yapmayan kontrol grubu (KG) (N=25), sadece basketbol antrenmanı yapan basketbol grubu (BG) (N=20) ve basketbol antrenmanına ilaveten düzeltici egzersiz yapan düzeltici egzersiz grubu (DEG) (N=20) olmak üzere 3 gruba ayrılmıştır. BG’da bulunan çocuklara haftada 3 gün sadece basketbol antrenmanı, DEG’da bulunan çocuklara basketbol antrenmanlarına ilaveten 8 haftalık düzeltici egzersiz protokolü uygulanmıştır. Çocukların fonksiyonel hareket kalıpları FHT testi ile MB’leri Deutscher Motor Testi (DMT) ile belirlenmiştir. Çocukların FHT skorları ve DMT skorlarının ön testleri ile düzeltici egzersizler sonrası son testleri arasındaki farkı belirlemede Wilcoxon İşaretli Sıralar Testi kullanılmıştır. İstatiksel analizler sonucunda, DEG’da FHT toplam skorları ve DMT skorları ön test ile son testleri arasında istatiksel olarak anlamlı bir farklılık bulunmuştur (p<0,05). Sonuç olarak düzeltici egzersizlerin FHT toplam skorlarına ve çocukların MB gelişimine katkı sağladığı gösterilmiştir. Düzeltici egzersizlerin antrenman içeriklerine yerleştirilmesinin çocukların MB’lerini artırabileceği düşünülmektedir.


2021 ◽  
Vol 9 (6) ◽  
pp. 232596712110040
Author(s):  
Garrett S. Bullock ◽  
Tyler Ferguson ◽  
Jake Vaughan ◽  
Desiree Gillespie ◽  
Gary Collins ◽  
...  

Background: There is a paucity of current data describing injuries in professional basketball players. Utilizing publicly available injury data will allow for greater transparency for stakeholders to use the data as a shared resource to create future basketball injury prevention programs. Purpose: To describe injury and illness incidence, severity, and temporal trends in National Basketball Association (NBA) players. Among those who develop time-loss injury or illness, we estimated severity based on games missed because of injury or illness. Study Design: Descriptive epidemiology study. Methods: Publicly available NBA data were extracted through a reproducible computer-programmed process from the 2008 to 2019 seasons. Data were externally validated by 2 independent reviewers through other publicly available data sources. Injury and illness were calculated per 1000 athlete game-exposures (AGEs). Injury severity was calculated as games missed because of injury or illness. Injury and illness data were stratified by body part, position, severity (slight, minor, moderate, or severe), month, and year. Results: A total of 1369 players played a total of 302,018 player-games, with a total of 5375 injuries and illnesses. The overall injury and illness incidence was 17.80 per 1000 AGEs. The median injury severity was 3 games (interquartile range, 0-6 games) missed per injury. Overall, 33% of injuries were classified as slight; 26%, as minor; 26%, as moderate; and 15%, as severe. The ankle (2.57 injuries/1000 AGEs), knee (2.44 injuries/1000 AGEs), groin/hip/thigh (1.99 injuries/1000 AGEs), and illness (1.85 illnesses/1000 AGEs) had the greatest incidence of injury and illness. Neither injury or illness incidence nor severity was different among basketball playing positions. Injury incidence demonstrated increasing incremental trends with season progression. Injuries were similar throughout the 11-year reporting period, except for a substantial increase in the lockout-shortened 2012 season. Conclusion: The ankle and knee had the greatest injury incidence. Injury incidence was similar among basketball positions. Injury incidence increased throughout the season, demonstrating the potential relationship between player load and injury incidence.


2019 ◽  
Vol 6 (12a) ◽  
pp. 49
Author(s):  
Umut Canlı ◽  
Çalık Veli Koçak

The purpose of this study was to determine the relationship of shooting skill with the functional performances and attention levels of professional basketball players. Sixteen male basketball players (age = 20.6 ± 2.30) from university basketball team who were trained on regular basis participated in this study as volunteers. Participants' body height and body weight were measured and body mass indexes were calculated. D2 test of attention was utilized to determine the focus levels. Shooting skills were determined by shooting tests. Spearman Correlation Analysis was utilized to determine the correlation of shooting skill with functional movement performances and attention levels of participants. There was a moderate level of negative correlation (rho = -0.57; p<0.05) between the shooting skill scores and deep squat scores which is one of the functional movement performances. A moderate level of positive correlation (rho = 0.54; p<0.05) between TN-E (Total number of items processed-Total error score) scores and shooting skill scores were determined. Consequently, as the deep squat values of professional basketball players increases, the shooting skill decreases and with the increasing attention level, shooting skill increases.


2018 ◽  
Vol 53 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Bryan Dorrel ◽  
Terry Long ◽  
Scott Shaffer ◽  
Gregory D. Myer

Context:  The Functional Movement Screen (FMS) is a tool used to assess the quality of human movement. Previous FMS researchers reported a difference between the comprehensive and individual FMS test scores of injured and uninjured participants. Objective:  To evaluate the accuracy of the FMS for predicting injury in National Collegiate Athletic Association Division II athletes and to evaluate how an injury definition may affect the prognostic values. Design:  Cross-sectional study. Setting:  University preparticipation examinations. Patients or Other Participants:  A total of 257 collegiate athletes (men = 176, women = 81) between the ages of 18 and 24 years. Main Outcome Measure(s):  The athletes were prospectively screened with the FMS and monitored for subsequent injury. The ability of the FMS to accurately predict musculoskeletal injuries, overall injuries, and severe injuries was determined. Results:  The receiver operating characteristic curve provided the FMS cut score of ≤15 for the study sample. The areas under the curve were 0.53, 0.56, and 0.53 for musculoskeletal injury, overall injury, and severe injury, respectively. Sensitivity was 0.63 (0.62, 0.61, 0.65), whereas specificity was below 0.50 (0.49, 0.49, 0.45) for all 3 injury definitions of musculoskeletal injury, overall injury, and severe injury, respectively. Relative risk was 1.25 for musculoskeletal injuries, 1.24 for overall injuries, and 1.45 for severe injuries. Conclusions:  The overall prognostic accuracy of the FMS offered a slightly better than 50/50 chance of correctly classifying those most at risk for injury. As such, the FMS did not provide discriminatory prediction of musculoskeletal injury, overall injury, or severe injury in National Collegiate Athletic Association Division II athletes. Using the identified optimal cut score produced inadequate validity, regardless of the injury definition. We recommend using the FMS to assess movement quality rather than as a standalone injury-prediction tool until additional research suggests otherwise. Clinicians screening for injury risk should consider multiple risk factors identified in the literature.


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