Monitorización de la carga de entrenamiento en jugadores de baloncesto profesional con herramientas low-cost

This doctoral thesis aims to offer a proposal for monitoring training loads in professional basketball players through the use of low-cost tools that enable optimization of performance and reduction of injury risk in contexts with limited technological resources. The research is structured as a compendium of three scientific publications that address training load from different perspectives, all integrated into a model that is accessible, rigorous, and applicable in real practice. The study was conducted during the 2020/2021 season with the professional team Bilbao Basket, in a particularly complex environment shaped by the COVID-19 pandemic, which required constant adjustments in planning and significant logistical restrictions. Within this context, four monitoring tools were implemented: the Wellness questionnaire, the Rating of Perceived Exertion (RPE and sRPE), the Integrated System for the Analysis of Training Tasks (SIATE), and the Training Impulse (TRIMP), based on heart rate data. The first study designed and validated a monitoring proposal using the four mentioned tools. Through a structural equation modeling approach, it was shown that SIATE, RPE, and Wellness variables significantly predict TRIMP scores during the highest-load training session of the week. This proposal offers an efficient alternative to high-cost traditional methods, demonstrating the feasibility of monitoring internal and external loads in combination. The second study analyzed training load and player wellness in different weekly contexts: without competition, with one game, and with two or more games. The results indicated that perceived loads (sRPE) decrease progressively as the match approaches, while wellness remains stable when load management is adequate. This validates the joint use of Wellness and sRPE as effective indicators for adjusting weekly load planning according to competition density. The third study explored the fluctuation of internal (sRPE) and external (SIATE) loads throughout a full season. Significant correlations between the two variables were observed, supporting their combined use as an evaluation method. Furthermore, notable differences were found depending on the number of weekly games, with weeks without competition showing higher external loads, while weeks with two games had lower loads due to scheduling constraints. Together, these three studies converge into an integrated load monitoring model characterized by its applicability, low cost, and scientific robustness. The thesis proposes a methodology that can be adopted by coaches and practitioners lacking access to advanced technologies, enabling individualized planning tailored to the demands of the competitive environment. This research contributes to academic knowledge in the field of sports training while providing practical tools for realworld application, from professional sports to grassroots and developmental levels. It also establishes future lines of research focusing on replicating the model with larger samples, analyzing additional performance-related variables, and incorporating emerging technologies in training load monitoring.

Grantor dc:publisher

Universidad de La Rioja (España)

Year dc:date

2025

Author dc:creator

• Molina, Roberto

Contributors dc:contributor

• Lapresa Ajamil, Daniel (Universidad de La Rioja)
• Arana Idiakez, Javier (Universidad de La Rioja)

Statement dc:rights

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Language dc:language

spa

Repository record dc:identifier

https://dialnet.unirioja.es/servlet/oaites?codigo=385804

OAI identifier oai:identifier

oai:dialnet.unirioja.es:TES0000023191