INTEGRATING BIOMECHANICAL ANALYSIS INTO REHABILITATION PROTOCOLS TO MINIMIZE RE INJURY RISK AFTER ACL RECONSTRUCTION

Abstract

Background: Anterior cruciate ligament (ACL) injury is one of the most common musculoskeletal conditions leading to long-term functional limitations. Effective rehabilitation requires identification of key biomechanical predictors that influence recovery outcomes. Objective: This study aimed to determine the predictive relationship between peak knee flexion angle and knee valgus angle with functional performance following ACL rehabilitation. Methods: A quantitative, cross-sectional design was employed. Biomechanical data were collected from participants who had completed standardized ACL rehabilitation protocols. Predictor variables included peak knee flexion angle and knee valgus angle, while functional performance served as the dependent variable. Multiple linear regression analysis was conducted to examine the predictive strength and direction of each variable. Results: The findings revealed that peak knee flexion angle was a significant positive predictor of functional performance (β = 0.32, p = 0.001), indicating that increased flexion enhances post-rehabilitation function. In contrast, knee valgus angle demonstrated a significant negative relationship (β = −0.27, p = 0.004), suggesting that excessive valgus alignment adversely affects recovery. Conclusion: Optimal restoration of knee flexion and control of valgus alignment are essential determinants of successful ACL rehabilitation. These results emphasize the importance of individualized therapy focused on movement quality, neuromuscular control, and biomechanical alignment to achieve improved functional outcomes.