Monitoring individual responses to training is an important key factor to prescribe to most effective training programs. Heart-rate variability (HRV) could be used for monitoring the training status of endurance athletes in order to detect the fatigue status and to assess the adaptation to training. This direct fatigue measuring method has been little used to prescribe or regulate exercise prescription. Moreover, it allows new possibilities for the training load prescription according to an athlete's status, the response to the training load, and the adaptation to training. Regardless HRV-guided training, the athlete performance could also be influenced by precompetitive mood and anxiety, which can also be reflected in the precompetitive HRV scores and the subjective effort perception.
Monitoring individual responses to training is an important key factor to prescribe to most effective training programs. A promising variable that is able to reflect positive or negative training adaptation is cardiac autonomic regulation. In general, a decreased training status is associated with a lower power output at the same submaximal heart rate and a slower heart rate recovery, whereas an increased training status is associated with an increased power output, the same submaximal heart rate, and a faster heart rate recovery. In this line, heart-rate variability (HRV), which focuses on the variability of successive R-R intervals, have gained popularity in monitoring the training status of endurance athletes. This tool enables the detection of fatigue status and assesses the adaptation to training. After high intensity training or a short-term overreached period, there is a decrease in the resting HRV values, reflecting the effect of the fatigue. In addition, the increase of the performance after a training period is related to an increase in resting HRV. This direct fatigue measuring method has been little used to prescribe or regulate exercise prescription. Moreover, this HRV-guided training, also called day-to-day periodization, allows new possibilities for the training load prescription according to an athlete's status, the response to the training load, and the adaptation to training. On the other hand, regardless HRV-guided training, the athlete performance could also be influenced by precompetitive mood and anxiety, which can also be reflected in the precompetitive HRV scores and the subjective effort perception. This is another interesting line that pretends to be clarified in this study.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
14
Intervention based on HRV-guided training for the performance improvement of athletes. Pre-competitive HRV, subjective effort perception, anxiety and mood will also be analysed.
Traditional endurance training
University of Almería
Almería, Spain
VO2max
Maximal oxygen consumption in treadmill test
Time frame: Change from baseline VO2max at 8 weeks
maximal heart rate
maximal heart rate in the treadmill test
Time frame: Change from baseline maximal heart rate at 8 weeks
maximal speed
maximal speed in the treadmill test
Time frame: Change from baseline maximal speed at 8 weeks
ventilatory thresolds
ventilatory thresolds in the treadmill test
Time frame: Change from baseline ventilatory thresolds at 8 weeks
respiratory quotient
respiratory quotient in the treadmill test
Time frame: Change from baseline respiratory quotient at 8 weeks
Time in running test
Time in the 3000 meters running test
Time frame: Change from baseline time at 8 weeks
Lactate change
Lactate change after the 3000m test
Time frame: Change from baseline Lactate at 8 weeks
Speed in running test
Speed in the 3000 meters running test
Time frame: Change from baseline speed at 8 weeks
Heart rate in running test
Heart rate in the 3000 meters running test
Time frame: Change from baseline heart rate at 8 weeks
Börg scale after running test
Subjective perceived exertion. Scores goes from 0 to 10. Higher scores indicate a higher perceived exertion.
Time frame: Through study completion (8 weeks)
LnrMSSD score
Parasympathetic tone and recovery indicator. There are no minimum or maximum values. They depend on the athlete recovery state. Higher scores indicate a better outcome.
Time frame: Through study completion (8 weeks)
Mood score
Precompetitive mood levels. Instrument: Profile of Mood States. Scores goes from 0 (low mood) to 4 (high mood).
Time frame: Through study completion (8 weeks)
Anxiety score
Precompetitive anxiety levels. Instrument: Revised Competitive State Anxiety Inventory-2. Scores goes from 1 (no anxiety) to 4 (a lot of anxiety).
Time frame: Through study completion (8 weeks)
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