Integrating Strength and Technique: Field-Based Predictors of Sprint Running Performance

Area of Science:

• Sports Science
• Biomechanics
• Athletic Performance

Background:

• Sprint running performance is influenced by a complex interplay of strength qualities and biomechanical technique.
• Field-based assessments offer practical and accessible methods for evaluating these performance determinants.
• Understanding the specific contributions of different strength measures and technical elements is crucial for optimizing training.

Purpose of the Study:

• To investigate the relationships between field-based strength indicators, sprinting technique, and 30-m sprint performance.
• To identify the optimal combination of these factors for predicting sprint running speed.
• To determine if sprinting technique provides unique predictive value beyond strength qualities.

Main Methods:

• Thirty resistance-trained young adults completed 30-m sprints.
• Sprinting technique was quantified using a smartphone-based sprint mechanics assessment score (S-MAS).
• Strength qualities were assessed via squat jump (SJ), countermovement jump (CMJ), bounce drop jump (BDJ), foot-ankle rebound jump (FARJ) reactive strength index (RSI), and back squat (BSQ) 1 repetition maximum (1RM).

Main Results:

• Strong correlations were found between S-MAS, SJ height, CMJ height, and FARJ RSI with 30-m sprint time.
• Stepwise regression identified FARJ RSI, SJ height, and S-MAS as significant independent predictors of sprint performance (adjusted R² = 0.561).
• FARJ RSI and SJ height showed negative associations, while S-MAS had a positive association with sprint time, indicating their predictive influence.

Conclusions:

• Superior sprint running performance is independently associated with enhanced speed strength, foot-ankle reactive strength, and refined sprinting technique.
• Field-based assessments of FARJ RSI, SJ height, and S-MAS can effectively predict sprint performance.
• Coaches and athletes can utilize these field-based measures to monitor and target key physical and technical attributes for sprint improvement.