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International Journal of Yogic, Human Movement and Sports Sciences
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ISSN: 2456-4419, Impact Factor (RJIF): 5.88
Peer Reviewed Journal

2025, Vol. 10 Issue 2, Part H

The relationship between training load and injury risk in elite athletes: A quantitative analysis

AUTHOR(S): Chincholkar Omkar Dattatraya and Dr. Sandeep
ABSTRACT:
The pursuit of peak athletic performance while concurrently minimizing the risk of injury stands as a paramount objective for elite athletes and those dedicated to their care within the realm of sports medicine. This research endeavor delves deeply into the intricate interplay between training load and the propensity for injury among elite athletes, employing a thorough retrospective cohort analysis that spans the course of two rigorous competitive seasons. By harnessing the capabilities of sophisticated athlete monitoring systems and comprehensive injury registries, an exhaustive array of training load metrics—including session-RPE, training duration, intensity zones, and external workload—were meticulously captured, meticulously recorded, and subjected to rigorous analysis.
The results of the descriptive statistics paint a vivid picture of the demanding training regimens undertaken by elite athletes, characterized by markedly high weekly training durations and substantial allocations of time to activities conducted within moderate to high-intensity training zones. The quantification of internal training load, achieved through the utilization of the session-RPE method, revealed an average weekly load of 139.4 arbitrary units, while external workload metrics underscored the significant distances covered and the impressive speeds attained during training sessions.
Furthermore, the employment of multivariate regression analysis uncovered a noteworthy inverse relationship between training load and the likelihood of injury occurrence (? = -0.25, p < 0.05), suggesting that higher training loads were closely associated with a reduced susceptibility to injury among elite athletes. Subsequent subgroup analyses further elucidated the nuanced impact of training load on injury risk, with particular emphasis on athlete demographics and the specific modalities of training engaged in. Particularly noteworthy was the heightened protection against injury observed among younger athletes and those actively involved in strength training activities.
These profound insights underscore the pivotal role played by meticulously tailored training programs in not only optimizing athletic performance but also in effectively safeguarding the overall well-being of elite athletes. By shedding light on the complex dynamics governing the relationship between training load and injury risk, this study offers invaluable evidence-based insights that are instrumental in shaping injury prevention strategies, guiding the prescription of training regimens, and informing rehabilitation protocols within elite sports settings. Looking ahead, a deeper comprehension of these intricate relationships holds the promise of revolutionizing the management practices employed in the realm of athlete care, thus ensuring sustained success and longevity in the fiercely competitive arena of sports

Pages: 548-551  |  126 Views  59 Downloads


International Journal of Yogic, Human Movement and Sports Sciences
How to cite this article:
Chincholkar Omkar Dattatraya, Dr. Sandeep. The relationship between training load and injury risk in elite athletes: A quantitative analysis. Int J Yogic Hum Mov Sports Sciences 2025;10(2):548-551. DOI: https://doi.org/10.22271/yogic.2025.v10.i2h.1831
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