scholarly journals Use of a Case Series to Determine which Sub-scores Best Correlate with the Total Dynamic Movement Assessment Score

2019 ◽  
Vol 5 (2) ◽  
pp. 1-6
Author(s):  
Kellie R Stickler ◽  
Author(s):  
M. McGroarty ◽  
S. Giblin ◽  
D. Meldrum ◽  
F. Wetterling

The aim of the study was to perform a preliminary validation of a low cost markerless motion capture system (CAPTURE) against an industry gold standard (Vicon). Measurements of knee valgus and flexion during the performance of a countermovement jump (CMJ) between CAPTURE and Vicon were compared. After correction algorithms were applied to the raw CAPTURE data acceptable levels of accuracy and precision were achieved. The knee flexion angle measured for three trials using Capture deviated by −3.8° ± 3° (left) and 1.7° ± 2.8° (right) compared to Vicon. The findings suggest that low-cost markerless motion capture has potential to provide an objective method for assessing lower limb jump and landing mechanics in an applied sports setting. Furthermore, the outcome of the study warrants the need for future research to examine more fully the potential implications of the use of low-cost markerless motion capture in the evaluation of dynamic movement for injury prevention.


2019 ◽  
Vol 7 (3_suppl) ◽  
pp. 2325967119S0016
Author(s):  
Jeff W. Barfield ◽  
Gretchen D. Oliver

Background: When using the tuck jump as a dynamic movement assessment, clinicians note movement flaws to determine injury potential and provide further training in attempt to improve movement technique deficits. The Tuck Jump Assessment has been identified as a dynamic assessment for lower extremity injury susceptibility.[3-6] The purpose of the Tuck Jump Assessment is to identify postural neuromuscular imbalances, throughout the dynamic movement, that could potentially result in greater injury susceptibility.[5] With the focus of neuromuscular imbalances on Tuck Jump Assessment performance, as well as the common notion of the body acting as a kinetic chain functions most efficient when there is proximal stability for distal mobility,[1] it was our purpose to determine if the Tuck Jump Assessment can be used as a dynamic movement assessment to ascertain a previous history of upper extremity injury in overhead throwing sports such as baseball and softball. We hypothesized that a more flexed trunk and less elevated upper leg in the peak of the tuck jump would correlate with previous history of upper extremity injury for the overhead athlete. Methods: Seventy-one youth baseball and softball athletes (28 baseball/43 softball; 12.41 ± 2.22 yrs.; 161.98 ± 13.65 cm; 59.17 ± 14.90 kg) were recruited to participate. All participants were in good physical condition and had no injuries within the last six months. A health history form was completed by the participants prior to participation. If a participant indicated that they have had an upper extremity injury in the past year that had kept them from competition, then they were placed in the previous injury group (N = 18). All other participants were placed into the no previous injury group (N = 53). Participants that indicated they had a previous lower extremity injury were excluded from of the study. The University’s Institutional Review Board approved all testing protocols. Informed written consent was obtained from each participant and participant’s parents before testing.[2] Kinematic data were collected at 100 Hz using an electromagnetic tracking system (trakSTARTM, Ascension Technologies, Inc., Burlington, VT, USA) synced with the MotionMonitor® (Innovative Sports Training, Chicago, IL. USA). Participants were instructed to start with their feet shoulder width apart and initiate the jump with a slight downward crouch while holding their arms in front of their chest. As they jumped, they were instructed to pull their knees as high as possible during the jump aiming to reach a position where their thighs were parallel to the ground and to immediately begin the next tuck jump once landing.[5] A trial of 10 tuck jumps was collected. Analysis included jumps 4 through 8 to mitigate the Hawthorne effect. Values for trunk flexion and upper leg elevation were taken from peak leg elevation and averaged and a priori was set at a level of p = 0.05 to determine significance. Results: A logistic regression showed no significance in trunk flexion or upper leg elevation being able to determine upper extremity injury (&[Chi] &[sup]2 (&[sub]1, N = 71) = 3.55, p = .315). The model explained 7.2% of the variance in upper extremity injury and correctly classified 73.2% of all cases. Conclusion/Significance: While a direct link was not found between the Tuck Jump Assessment and upper extremity injury, further investigation into injury precursors should be performed. During our Tuck Jump Assessment, we only examined trunk flexion and upper leg elevation, which are two variables that make up the proximal control factor indicated by Lininger and colleagues. [3] In their exploratory factor analysis, it was concluded that three factors defined as fatigue, distal landing pattern, and proximal control should be examined to get the most benefit of the Tuck Jump Assessment in injury assessments.[3] Our results agree with their conclusion, that a simplified unidimensional construct of the Tuck Jump Assessment may not be the best way to use this dynamic movement assessment to identify previous upper extremity injury. In conclusion, examining only trunk flexion and upper leg elevation during the Tuck Jump Assessment is not enough for clinicians to recognize previous upper extremity injury. Even though the body behaves as a kinetic chain, simplifying the dynamic movement assessment while not specifying the type of upper extremity injury is not favorable for the clinician to identify previous injury. References Chu SK et al. PM R. 2016;8(3 Suppl): S69-77. Harris D et al. Int J Sports Med. 2017;38:1126-1131. Lininger MR et al. J Strength Cond Res. 2017;31(3):653-659. Myer GD et al. Strength and Conditioning Journal. 2011;33(3):21-35. Myer GD et al. Athl Ther Today. 2008;13(5):39-44. Myer GD et al. Am J Sports Med. 2010;38(19):2025-2033.


2019 ◽  
Vol 38 ◽  
pp. 152-161 ◽  
Author(s):  
Thomas Dos’Santos ◽  
Alistair McBurnie ◽  
Thomas Donelon ◽  
Christopher Thomas ◽  
Paul Comfort ◽  
...  

Biomechanics ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 83-101
Author(s):  
Thomas Dos’Santos ◽  
Christopher Thomas ◽  
Alistair McBurnie ◽  
Thomas Donelon ◽  
Lee Herrington ◽  
...  

Side-step cutting is an action associated with non-contact anterior cruciate ligament (ACL) injury with a plethora of negative economical, health, and psychological implications. Although ACL injury risk factors are multifactorial, biomechanical and neuromuscular deficits which contribute to “high-risk” and aberrant movement patterns are linked to ACL injury risk due to increasing knee joint loads and potential ACL loading. Importantly, biomechanical and neuromuscular deficits are modifiable; thus, being able to profile and classify athletes as potentially “high-risk” of injury is a crucial process in ACL injury mitigation. The Cutting Movement Assessment Score (CMAS) is a recently validated field-based qualitative screening tool to identify athletes that display high-risk postures associated with increased non-contact ACL injury risk during side-step cutting. This article provides practitioners with a comprehensive and detailed overview regarding the rationale and implementation of the CMAS. Additionally, this review provides guidance on CMAS methodological procedures, CMAS operational definitions, and training recommendations to assist in the development of more effective non-contact ACL injury risk mitigation programmes.


2021 ◽  
Author(s):  
Jordan E Powell ◽  
Jamie O Boehm ◽  
Jessica H Bicher ◽  
Christopher L Reece ◽  
Shelton A Davis ◽  
...  

ABSTRACT Complex regional pain syndrome (CRPS) is a relatively rare, but debilitating condition that may occur after limb or peripheral nerve trauma. Typical symptoms of CRPS include swelling, allodynia, hyperalgesia, and skin temperature changes. Although a variety of pharmacological and non-pharmacological approaches are commonly used in caring for individuals with CRPS, they are frequently ineffective and often associated with side effects and/or additional risks. Previously, elastomeric orthotic garments have been shown to decrease neuropathic pain, reduce edema, and increase proprioception, but no previous reports have described their use in treating CRPS. Accordingly, this case series describes our experiences using a Lycra-based, custom-fabricated Dynamic Movement Orthosis (DMO) as a novel treatment to reduce the symptoms of CRPS and promote function. Four patients were included in this case series, all of whom had very different causes for their CRPS, including a combat-related gunshot injury resulting in multiple foot fractures with a partial nerve injury, a post-metatarsophalangeal fusion, an L5 radiculopathy, and a case of post-lower leg fasciotomies. These four patients all reported subjective improvement in their pain, function, and exercise tolerance in association with their DMO use. All patients demonstrated reduced use of analgesic medications. The pre- and post-DMO lower extremity functional scale showed clinically significant improvement in the two patients for which it was obtained.


2020 ◽  
Vol 26 (4) ◽  
Author(s):  
Priscila dos Santos Bunn ◽  
Hélcio Figueiredo da Costa ◽  
Celso José da Silva Júnior ◽  
Saulo de Almeida Silva ◽  
Ricardo Costa Abrantes Júnior ◽  
...  

2018 ◽  
Vol 25 (3) ◽  
pp. 352-361
Author(s):  
Priscila dos Santos Bunn ◽  
Elirez Bezerra da Silva

ABSTRACT Dynamic Movement AssessmentTM (DMATM) and Functional Movement ScreeningTM (FMSTM) are tools to predict the risk of musculoskeletal injuries in individuals who practice physical activities. This systematic review aimed to evaluate the association of DMATM and FMSTM with the risk of musculoskeletal injuries, in different physical activities, categorizing by analysis. A research without language or time filters was carried out in November 2016 in MEDLINE, Google Scholar, SciELO, SCOPUS, SPORTDiscus, CINAHL and BVS databases using the keywords: “injury prediction”, “injury risk”, “sensitivity”, “specificity”, “functional movement screening”, and “dynamic movement assessment”. Prospective studies that analyzed the association between DMATM and FMSTM with the risk of musculoskeletal injuries in physical activities were included. The data extracted from the studies were: participant’s profile, sample size, injury’s classification criteria, follow-up time, and the results presented, subdivided by the type of statistical analysis. The risk of bias was performed with Newcastle-Ottawa Scale for cohort studies. No study with DMATM was found. A total of 20 FMSTM studies analyzing one or more of the following indicators were included: diagnostic accuracy (PPV, NPV and AUC), odds ratios (OR) or relative risk (RR). FMSTM showed a sensitivity=12 to 99%; specificity=38 to 97%; PPV=25 to 91%; NPV=28 to 85%; AUC=0.42 to 0.68; OR=0.53 to 54.5; and RR=0.16-5.44. The FMSTM has proven to be a predictor of musculoskeletal injuries. However, due to methodological limitations, its indiscriminate usage should be avoided.


2018 ◽  
Vol 02 (04) ◽  
pp. E113-E116
Author(s):  
Jeff Barfield ◽  
Gretchen Oliver

AbstractThe purpose of this study was to determine if tuck jumps can be used as a dynamic movement assessment to ascertain a previous history of upper extremity injury in an overhead throwing sport. Seventy-one youth baseball and softball athletes (28 baseball/43 softball; 12.41±2.22 yrs.; 161.98±13.65 cm; 59.17 ± 14.90 kg) were recruited to participate and were placed in either the previous injury (N=18) or no previous injury (N=53) groups. Kinematic data were collected from jumps 4 through 8 during a trial of 10 tuck jumps performed at 100 Hz using an electromagnetic tracking system (trakSTARTM, Ascension Technologies, Inc., Burlington, VT, USA) synced with the MotionMonitor® (Innovative Sports Training, Chicago, IL, USA). A logistic regression showed no significance in trunk flexion or upper leg elevation in the ability to determine upper extremity injury (χ 2 (1, N=71)=3.55, p=0.315). In conclusion, examining only trunk flexion and upper leg elevation during the tuck jump assessment (TJA) is not enough for clinicians to recognize previous upper extremity injury. Even though the body behaves as a kinetic chain, simplifying the dynamic movement assessment while not specifying the type of upper extremity injury is not favorable for the clinician to identify previous injury.


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