Monitoring Training Load to Understand Fatigue in Athletes
Мониторинг тренировочной нагрузки для понимания усталости у спортсменов
2014-09-08
SCID: 54.1/6yvct6za
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external loadheart rate recoveryinternal loadneuromuscular functiontraining load monitoring
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Abstract (AI)
Many athletes, coaches, and support staff are taking an increasingly scientific approach to both designing and monitoring training programs. Appropriate load monitoring can aid in determining whether an athlete is adapting to a training program and in minimizing the risk of developing non-functional overreaching, illness, and/or injury. In order to gain an understanding of the training load and its effect on the athlete, a number of potential markers are available for use. However, very few of these markers have strong scientific evidence supporting their use, and there is yet to be a single, definitive marker described in the literature. Research has investigated a number of external load quantifying and monitoring tools, such as power output measuring devices, time-motion analysis, as well as internal load unit measures, including perception of effort, heart rate, blood lactate, and training impulse. Dissociation between external and internal load units may reveal the state of fatigue of an athlete. Other monitoring tools used by high-performance programs include heart rate recovery, neuromuscular function, biochemical/hormonal/immunological assessments, questionnaires and diaries, psychomotor speed, and sleep quality and quantity. The monitoring approach taken with athletes may depend on whether the athlete is engaging in individual or team sport activity; however, the importance of individualization of load monitoring cannot be over emphasized. Detecting meaningful changes with scientific and statistical approaches can provide confidence and certainty when implementing change. Appropriate monitoring of training load can provide important information to athletes and coaches; however, monitoring systems should be intuitive, provide efficient data analysis and interpretation, and enable efficient reporting of simple, yet scientifically valid, feedback.
Key Findings
1
Appropriate monitoring of training load helps determine athlete adaptation and minimize risk of non-functional overreaching, illness, and injury.
2
Combining external (e.g., power output, time-motion) and internal (e.g., perceived effort, heart rate, blood lactate, training impulse) load measures can reveal athlete fatigue via dissociation between them.
3
High-performance programs use diverse monitoring tools—heart rate recovery, neuromuscular function, biochemical/hormonal/immunological assessments, questionnaires, psychomotor speed, and sleep metrics—to assess fatigue and load.
4
Individualized monitoring approaches and the use of scientific/statistical methods to detect meaningful changes improve confidence in implementing training adjustments; monitoring systems should be intuitive and provide simple, valid feedback.
5
No single definitive marker of training load or fatigue currently exists; few markers have strong scientific evidence supporting their use.
Research Object
Training load monitoring in athletes
Research Subject
Using external and internal load markers and related monitoring tools to assess athlete fatigue, adaptation, and risk of non-functional overreaching, illness, or injury
Publication Details
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2014-09-08
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