Context: Patellar tendinopathy (PT), or jumper’s knee, is a chronic painful overuse patellar tendon injury. For PT, prevention is more important than treatment. However, there is still a lack of strong evidence to confirm the effectiveness of prevention. Objective: This study will analyze by meta-analysis the effect of a prophylactic program on high PT risk people (but without PT) in reducing PT occurrence. Data Sources: PubMed, Embase, the Cochrane Library, Scopus, and Ebscohost, from inception to January 11, 2022. Study Selection: A study comparing the effects of prophylactic programs and controls on the risk of PT was included in the analysis. After a database search with search terms ((patellar tendinopathy) OR (jumper’s knee) OR (patellar tendinitis) OR (patellar tendinosis) OR (patellar tendonitis)) AND ((Prevent*) OR (prophyla*)), a total of 1444 items were obtained. Of these, 11 studies with 6091 participants were eligible for inclusion in this meta-analysis. Study Design: Systematic review and meta-analysis. Level of Evidence: Level 2. Data Extraction: The first author’s name, publication year, study design, country, population, mean age, sex, prophylactic program, control, study duration, and the frequency or incidence of PT in each group were extracted. Results: A total of 11 articles were included in the analysis. Overall, no significant difference was considered in the risk of PT between the prophylactic program and control groups based on the random-effect model (odds ratio [OR], 0.85; 95% CI, 0.67, 1.08; P = 0.18). In the recruit subgroup, there was even a tendency to elevate the risk of PT occurrence after prophylaxis was executed (OR, 1.89; 95% CI, 0.68, 5.28; P = 0.22). In athletes, the prophylactic program tended to decrease the risk of PT compared with the control (OR, 0.81; 95% CI, 0.63, 1.04; P = 0.10); however, the difference was not statistically significant. Trial sequential analysis results suggested that prophylaxis may still be effective for athletes, but this needs to be confirmed with a larger sample size. Conclusion: The risk of PT cannot be reduced with the current prophylactic program. However, for athletes, the negative results may be due to insufficient sample size.

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.