AI Article Synopsis

  • - This study examined the differences in sprinting mechanics between high-speed treadmill and overground conditions, focusing on how an athlete’s training level and gender influence these differences.
  • - Researchers analyzed data from 40 participants, including NCAA Division 1 sprinters and recreational runners, measuring kinematic variables like stride length and frequency during sprints.
  • - The results indicated that treadmill sprinting affects kinematics, with elite sprinters showing better efficiency than recreational runners, and male athletes outperforming females in stride metrics, suggesting a need for tailored sprint training.

Article Abstract

Background: This investigation aimed to dissect the kinematic differences in sprinting between high-speed treadmill and overground conditions, examining how these variations are influenced by the athlete's training status and biological sex.

Methods: A total of 40 participants, 20 NCAA Division 1 sprinters and 20 recreational runners, performed a series of maximal sprints on a high-speed treadmill and on a standardized competition overground track. Sprinting kinematic variables such as stride length, stride frequency, contact time, and flight time were collected via photoelectric sensors. Maximal sprinting kinematics were analyzed by linear mixed-effects models, considering the impacts of sprinting environment (treadmill vs. overground), training level, and sex, with leg length as fixed factors and individual athletes as random effects. Statistical significance was set at a significance level of 0.05.

Results: The statistical analysis revealed that high-speed treadmill sprinting significantly affects all measured kinematic variables, leading to increased stride frequency and contact time. Elite sprinters demonstrated enhanced kinematic efficiency over recreational runners, characterized by increased stride length and frequency and reduced contact time. Sex-based kinematic distinctions also emerged, with male athletes exhibiting superior stride length and frequency compared to female athletes. Leg length significantly influenced stride frequency, and an interaction effect was observed for flight time between sprint type and athletic group.

Conclusions: These findings elucidate the distinct biomechanical profiles across sprinting modalities and athlete demographics, emphasizing the need for sprint training customization. This study's insights offer a valuable reference for coaches and athletes to refine training and performance assessment in varied sprinting environments.

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Source
http://dx.doi.org/10.23736/S0022-4707.24.16089-6DOI Listing

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