Is Kinesio Taping Application Effective on Decreasing Injury Risk for Tennis Players

Author(s):  
Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 997
Author(s):  
Alessandro de Sire ◽  
Nicola Marotta ◽  
Andrea Demeco ◽  
Lucrezia Moggio ◽  
Pasquale Paola ◽  
...  

Anterior cruciate ligament (ACL) injury incidence is often underestimated in tennis players, who are considered as subjects conventionally less prone to knee injuries. However, evaluation of the preactivation of knee stabilizer muscles by surface electromyography (sEMG) showed to be a predictive value in the assessment of the risk of ACL injury. Therefore, this proof-of-concept study aimed at evaluating the role of visual input on the thigh muscle preactivation through sEMG to reduce ACL injury risk in tennis players. We recruited male, adult, semiprofessional tennis players from July to August 2020. They were asked to drop with the dominant lower limb from a step, to evaluate—based on dynamic valgus stress—the preactivation time of the rectus femoris (RF), vastus medialis, biceps femoris, and medial hamstrings (MH), through sEMG. To highlight the influence of visual inputs, the athletes performed the test blindfolded and not blindfolded on both clay and grass surfaces. We included 20 semiprofessional male players, with a mean age 20.3 ± 4.8 years; results showed significant early muscle activation when the subject lacked visual input, but also when faced with a less-safe surface such as clay over grass. Considering the posteromedial–anterolateral relationship (MH/RF ratio), tennis players showed a significant higher MH/RF ratio if blindfolded (22.0 vs. 17.0% not blindfolded; p < 0.01) and percentage of falling on clay (17.0% vs. 14.0% in grass; p < 0.01). This proof-of-principle study suggests that in case of absence of visual input or falling on a surface considered unsafe (clay), neuro-activation would tend to protect the anterior stress of the knee. Thus, the sEMG might play a crucial role in planning adequate athletic preparation for semiprofessional male athletes in terms of reduction of ACL injury risk.


2017 ◽  
Vol 52 (11) ◽  
pp. 723-729 ◽  
Author(s):  
Jodie G Dakic ◽  
Belinda Smith ◽  
Cameron M Gosling ◽  
Luke G Perraton

ObjectiveThe physical demands of professional tennis combined with high training/match loads can contribute to musculoskeletal injury. The objectives of this study were to (1) describe the type, location and severity of injuries sustained during a 12-month tennis season in a cohort of professional female tennis players on the Women’s Tennis Association (WTA) tour and (2) prospectively investigate associations between training/match loads and injury.Methods52 WTA players competing at the Australian Open (2015) consented to participate. Injuries reported to WTA medical staff were classified using tennis-specific guidelines. Individual match exposure data were collected for all matches played at international level in 2015 and expressed per 1000 hours of WTA competition matchplay (MP) and 1000 match exposures (MEs). Variables associated with the number of injuries in the season and loss of time from competition were identified with regression analysis.ResultsThe injury incidence rate (IR) was 56.6 (95% CI: 49.5 to 64.6) per 1000 hours of MP or 62.7 (95% CI: 54.8 to 71.6) per 1000 MEs, although the IR of injuries resulting in loss of time from competition was lower (12.8 per 1000 hours of MP, 92 injuries/100 players). Lower limb (51%) and muscle/tendon (50%) injuries were the most common site and type of injury. Common specific injury site subcategories were the thigh, shoulder/clavicle, ankle and knee in order of frequency. Various measures of match load were significantly associated with injury.ConclusionThis study prospectively analysed injury profiles, including severity across an entire season of professional tennis, and investigated the relationship between training/match loads and injury. These data may help medical professionals develop injury risk identification and prevention programmes.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yupeng Li ◽  
Kitak Kim ◽  
Yu Ding

In recent years, sports injuries in professional tennis players have gradually increased and sports injuries will break the sports training system and affect the long-term growth of new tennis players. Avoiding athlete injuries has become an important factor in improving training quality and game performance and ensuring the sustainable development of young tennis players’ competitiveness. Therefore, this article will use the RBF neural network algorithm and cluster analysis method to establish a tennis sports injury risk early warning model and finally establish a tennis sports injury risk early warning system so that tennis players can reduce their injuries. In this article, we use the questionnaire survey method, expert interview method, mathematical statistics method, and logical analysis method to investigate and analyze the results of training injuries of Chinese tennis players and coaches. The experimental results in this article show that among 48 tennis players of different ages, who are participating in formal training and tennis competitions, 15 young tennis players have been injured more than 6 times, accounting for 31.2% of the total; 20 have been injured 3 to 6 times, accounting for 41.7% of the total; 9 of them have been injured several times, accounting for 18.8% of the total; and 4 have been injured, accounting for 8.3% of the total. After using the tennis sports injury risk warning system based on the algorithm of RBF neural network in mobile computing, the tennis sports injury rate has dropped to 5%. It can be seen that the system has high feasibility and practicability.


2009 ◽  
Vol 31 (4) ◽  
pp. 50-58 ◽  
Author(s):  
Todd S Ellenbecker ◽  
Babette Pluim ◽  
Stephane Vivier ◽  
Clay Sniteman
Keyword(s):  

Author(s):  
Victor Moreno-Pérez ◽  
Jaime Prieto ◽  
Juan Del Coso ◽  
José Ezequiel Lidó-Micó ◽  
Miguel Fragoso ◽  
...  

2016 ◽  
Vol 19 (6) ◽  
pp. 459-464 ◽  
Author(s):  
Shen Zhang ◽  
Weijie Fu ◽  
Jiahao Pan ◽  
Lin Wang ◽  
Rui Xia ◽  
...  

1999 ◽  
Vol 4 (5) ◽  
pp. 4-7 ◽  
Author(s):  
Laura Welch

Abstract Functional capacity evaluations (FCEs) have become an important component of disability evaluation during the past 10 years to assess an individual's ability to perform the essential or specific functions of a job, both preplacement and during rehabilitation. Evaluating both job performance and physical ability is a complex assessment, and some practitioners are not yet certain that an FCE can achieve these goals. An FCE is useful only if it predicts job performance, and factors that should be assessed include overall performance; consistency of performance across similar areas of the FCE; consistency between observed behaviors during the FCE and limitations or abilities reported by the worker; objective changes (eg, blood pressure and pulse) that are appropriate relative to performance; external factors (illness, lack of sleep, or medication); and a coefficient of variation that can be measured and assessed. FCEs can identify specific movement patterns or weaknesses; measure improvement during rehabilitation; identify a specific limitation that is amenable to accommodation; and identify a worker who appears to be providing a submaximal effort. FCEs are less reliable at predicting injury risk; they cannot tell us much about endurance over a time period longer than the time required for the FCE; and the FCE may measure simple muscular functions when the job requires more complex ones.


Sign in / Sign up

Export Citation Format

Share Document