Single-Leg Countermovement Jump Compensation Assessment: Content Validity of a Checklist

Jump actions are common in several sports, and their performance is related to a myriad of biomechanical and physiological factors, with links to athletic performance and imbalances. Currently, a valid, field-based, easy-to-use tool to assess the quality of an explosive jump movement, similar to the required sports movements, is unavailable. Thus, the present study aimed to design and validate a field-based, easy-to-use tool that can be used to assess the quality of movement during an explosive single-leg countermovement jump (SL-CMJ). Ten experts participated in the content validation process for the checklist, including checking item relevance, definition accuracy, and scoring adequacy. Content validity was measured using the Aikens V format. The checklist included the items "Foot orientation," "Knee valgus/varus," "Internal/external hip flexed orientation," "Pelvis tilt," "Thorax tilt," "Thorax rotation," "Foot pronation/supination," "Asymmetrical hip," and "Lumbo-pelvic association". The items achieved a 0.60-0.99 in relevance, 0.70-1.00 in definition accuracy, and 0.80-0.83 in scoring adequacies in the Aikens V proof. The results from the context validation process suggest that the tool may be appropriate to assess athletes' quality of explosive movement. Furthermore, the results derived from such assessments may help to design better and safer training interventions.

EVIDENCE-BASED SPORTS MEDICINE TO PREVENT KNEE JOINT INJURY IN TRIPLE JUMP

ABSTRACT Introduction: Triple jump has high technical requirements. However, in recent years, the frequent knee injuries during the training of triple jump athletes have seriously impacted their training and competition levels. Objective: This article proposes a method for modeling knee joint injury caused by triple jump athletes overtraining based on an improved principal component analysis algorithm. It also studied the relationship between movement amplitude and sports injury. Methods: We obtained the optimal hyperplane showing data on the relationship between sports injury and joint motion range through the triple jump in the decision table. Then, the relationship model between the two was established. The article estimated the principal components of triple jump athletes’ knee joint injuries and established an accurate model relating the overtraining of these athletes and their knee joint injuries. Results: The accuracy of improved algorithm modeling is closer to that of physical examination outpatient records than to that of traditional algorithm modeling. Conclusion: The relationship model between triple jump injury and joint motion range was established using the improved algorithm. This model can greatly improve the accuracy of the relationship between the two and can effectively prevent triple jump injuries. Level of evidence II; Therapeutic studies - investigation of treatment results.