Predicting elbow load based on individual pelvis and trunk (inter)segmental rotations in fastball pitching.

Area of Science:

• Sports Medicine
• Biomechanics
• Orthopedic Surgery

Background:

• Baseball pitching involves repetitive, high-load motions, increasing elbow injury risk.
• High external valgus torques are key indicators of Ulnar Collateral Ligament (UCL) stress during pitching.

Purpose of the Study:

• To develop a predictive model for estimating elbow valgus torque in baseball pitchers.
• To utilize kinematic parameters, specifically pelvis and trunk angular velocities, for injury load monitoring.

Main Methods:

• Eleven male elite youth baseball pitchers performed 25 maximal effort fastballs.
• Bayesian models predicted external valgus torque using pelvis and trunk peak angular velocities and their separation time.
• Pitcher's weight and height were included for individualized prediction.

Main Results:

• Models incorporating trunk peak angular velocity and pelvis-trunk separation time demonstrated high predictive performance.
• Individualized prediction of external valgus torque was achieved for each pitcher.
• The findings highlight the efficacy of kinematic data for assessing pitching-related elbow loads.

Conclusions:

• Kinematic parameters offer a viable method for individualizing elbow load assessment in pitchers.
• This approach provides a practical tool for enhancing injury assessment and prevention strategies.
• The study contributes to a better understanding of biomechanical factors influencing elbow injuries in baseball.