More than a Metric:How Training Load is Used in Elite Sport for Athlete Management
| Autor: | Jo Clubb, Jason D. Vescovi, Daniel Howells, Lorena Torres-Ronda, Torstein Dalen-Lorentsen, Edward Leng, Johann Windt, Stephen W. West, Sean Carmody, Michael Posthumus |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Process management
Computer science injury Sports science Decision Making Mindset Physical Therapy Sports Therapy and Rehabilitation Workload Athletic Performance workload 03 medical and health sciences 0302 clinical medicine Stakeholder Participation Framing (construction) Humans Injury risk Orthopedics and Sports Medicine 030212 general & internal medicine Training load Dissemination Risk Management training Communication Data Collection 030229 sport sciences Athletes Data Interpretation Statistical Athletic Injuries Elite performance Physical Conditioning Human Sports |
| Zdroj: | West, S W, Clubb, J, Torres-Ronda, L, Howells, D, Leng, E, Vescovi, J D, Carmody, S, Posthumus, M, Dalen-Lorentsen, T & Windt, J 2021, ' More than a Metric : How Training Load is Used in Elite Sport for Athlete Management ', International Journal of Sports Medicine, vol. 42, no. 4, pp. 300-306 . https://doi.org/10.1055/a-1268-8791 |
| DOI: | 10.1055/a-1268-8791 |
| Popis: | Training load monitoring is a core aspect of modern-day sport science practice. Collecting, cleaning, analysing, interpreting, and disseminating load data is usually undertaken with a view to improve player performance and/or manage injury risk. To target these outcomes, practitioners attempt to optimise load at different stages throughout the training process, like adjusting individual sessions, planning day-to-day, periodising the season, and managing athletes with a long-term view. With greater investment in training load monitoring comes greater expectations, as stakeholders count on practitioners to transform data into informed, meaningful decisions. In this editorial we highlight how training load monitoring has many potential applications and cannot be simply reduced to one metric and/or calculation. With experience across a variety of sporting backgrounds, this editorial details the challenges and contextual factors that must be considered when interpreting such data. It further demonstrates the need for those working with athletes to develop strong communication channels with all stakeholders in the decision-making process. Importantly, this editorial highlights the complexity associated with using training load for managing injury risk and explores the potential for framing training load with a performance and training progression mindset. |
| Databáze: | OpenAIRE |
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