How Do Age-Group Triathlon Coaches Manage Training Load? A Pilot Study.
David Procida1, Jocelyn Mara1, Lachlan Mitchell2
1Discipline of Sport and Exercise Science, University of Canberra Research Institute of Sport and Exercise, Canberra 2617, Australia.
Triathlon coaches often overlooked training data, leading to frequent high training loads. Adjustments made by coaches did not consistently prevent excessive weekly load spikes across swim, bike, and run disciplines.
Area of Science:
- Sports Science
- Exercise Physiology
- Multidisciplinary Sports Training
Background:
- Triathlons demand integrated training across three disciplines.
- Optimal management of training load in triathletes is not well understood.
- Coaches' decision-making processes regarding training prescription require investigation.
Purpose of the Study:
- To investigate how triathlon coaches utilize training data to inform athlete training prescription.
- To assess the impact of provided training load information on weekly training adjustments.
- To analyze the occurrence of training load spikes and their relationship with injuries.
Main Methods:
- A 10-week observational study involving four age-group triathlon coaches and ten athletes.
- Coaches received weekly summary reports detailing athletes' relative acute training load (rATL) and training stress scores (TSSs).
- Coaches were surveyed on the utilization of provided data for subsequent training prescription.
Main Results:
- High weekly fluctuations (spikes) in rATL were prevalent across all disciplines (swim 83%, bike 74%, run 87%).
- Coaches adapted training loads in only 25% of reported rATLs, and adjustments frequently failed to prevent spikes.
- Significant training load spikes occurred more often in single disciplines than when combined, and injuries were linked to large running load spikes.
Conclusions:
- Triathlon coaches demonstrated limited use of provided training load data in prescription.
- Training load management in age-group triathletes often resulted in undesirable weekly load variability.
- Further research is needed to optimize training load monitoring and prescription for triathletes to minimize injury risk.
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