scholarly journals Kinetic Chain Disruption Contributes to Shoulder and Elbow Injuries

Author(s):  
Qais Gasibat ◽  
Tengku Fadilah Tengku Kamalden
Keyword(s):  
Author(s):  
Cathy Speed

Elbow injuries in sport can affect any athlete in relation to trauma, but overuse injuries are seen most frequently in overhead/throwing athletes and gymnasts across a wide age spectrum. The consequences of such injuries can be serious and result in loss of time in training and competition. The close interplay between the shoulder and elbow as part of the kinetic chain is well illustrated by the fact that, in those recreational tennis players with a history of lateral epicondylitis, there is a 63% greater incidence of shoulder injury (...


1996 ◽  
Vol 5 (1) ◽  
pp. 64-70 ◽  
Author(s):  
James R. Andrews ◽  
James M. Dennison ◽  
Kevin E. Wilk

Most physicians, trainers, and therapists are accustomed to thinking of open and closed kinetic chain terminology in terms of exercise and its application in rehabilitation protocols. This terminology can also be used to describe the mechanism by which injuries occur. Categorizing upper extremity injuries in this way not only provides vital insight into the mechanism of the injuries and helps identify possible injured structures but also allows the clinician to better develop treatment protocols. In this article, this categorization is applied to common shoulder and elbow injuries to provide insight into the nature of these injuries.


2020 ◽  
Vol 17 (6) ◽  
pp. 172988142097634
Author(s):  
Huan Tran Thien ◽  
Cao Van Kien ◽  
Ho Pham Huy Anh

This article proposes a new stable biped walking pattern generator with preset step-length value, optimized by multi-objective JAYA algorithm. The biped robot is modeled as a kinetic chain of 11 links connected by 10 joints. The inverse kinematics of the biped is applied to derive the specified biped hip and feet positions. The two objectives related to the biped walking stability and the biped to follow the preset step-length magnitude have been fully investigated and Pareto optimal front of solutions has been acquired. To demonstrate the effectiveness and superiority of proposed multi-objective JAYA, the results are compared to those of MO-PSO and MO-NSGA-2 optimization approaches. The simulation and experiment results investigated over the real small-scaled biped HUBOT-4 assert that the multi-objective JAYA technique ensures an outperforming effective and stable gait planning and walking for biped with accurate preset step-length value.


2021 ◽  
Vol 9 (7_suppl3) ◽  
pp. 2325967121S0014
Author(s):  
Danielle A Farzanegan ◽  
Emily Francione ◽  
Nicole Melfi

Background: Artistic competitive gymnastics results in a wide, unique spectrum of injuries. Due to the high number of injuries and the current lack of research related to pre-competitive testing in adolescent gymnasts, it is crucial to find a method to predict the likelihood of an athlete sustaining an in-season injury. Purpose: The purpose of this study was to 1) describe the frequency and type of pre-season and in-season injuries, 2) determine if there were differences in physical performance tests between those who had a lower extremity (LE) injury in-season and those who did not, and 3) determine if there were differences in age, level, sex, BMI, sport modifications, previous injury, and current injury between those who had a LE injury and those who didn’t. Methods: Thirty-seven adolescent gymnasts (average age: 12.81 years) were included with levels ranging from 5 (novice) to 10 (elite). Participants (15 males and 22 females) were surveyed for previous and current injury. The athletes completed a performance battery before the competition season including: Lower Quarter Y-Balance Test (LQYBT), Closed Kinetic Chain dorsiflexion (CKCDF), single hop (SH), triple hop (TH), and the Functional Movement Screen (FMS). Follow-up data was collected at the end of the competitive season for comparison. The data was analyzed using descriptive methods and comparative analyses including chi-square and independent t-tests with an alpha level set at .05. Results: Sixty-five percent reported an injury in the last year and seventy-eight percent reported pre-season injuries at testing day. The most common location for pre-season injury was the ankle/foot (24% and 31% respectively). There were no differences between injured and non-injured athletes when comparing asymmetries in CKCDF, LQYBT posteromedial or posterolateral reach, hop testing, or FMS. The LQYBT-anterior scores were significantly different at p=.049 between the injured versus uninjured groups, with 91% of the in-season injury group having a difference <4cm. Similarly, the LQYBT-composite score using a cut-off of 95% was significant at p=.043 with those >95% category being more likely to get injured. There were no significant differences in demographic information comparing injury occurrence. Conclusion: The tested physical performance battery may be useful in tracking gymnasts over time, but may not be beneficial in forecasting injuries in a sport with high percentages of acute injuries. The collected injury volume may not be reflective of a standard season as COVID-19 decreased the number of competitions. Additional research to identify athletes at risk for injury requires further investigation.


Author(s):  
Tsuyoshi Sasaki ◽  
Hitoshi Shitara ◽  
Tsuyoshi Tajika ◽  
Takuro Kuboi ◽  
Tsuyoshi Ichinose ◽  
...  

2020 ◽  
Vol 13 (4) ◽  
pp. 472-478
Author(s):  
Evan E. Vellios ◽  
Sridhar Pinnamaneni ◽  
Christopher L. Camp ◽  
Joshua S. Dines

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