University of Almería
Almería, 04120, Spain
NCT Number: NCT04150952
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.
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Interventional
Not applicable
Almería, 04120, Spain
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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
Time frame: Change from baseline VO2max at 8 weeks
Maximal oxygen consumption in treadmill test
Time frame: Change from baseline maximal heart rate at 8 weeks
maximal heart rate in the treadmill test
Time frame: Change from baseline maximal speed at 8 weeks
maximal speed in the treadmill test
Time frame: Change from baseline ventilatory thresolds at 8 weeks
ventilatory thresolds in the treadmill test
Time frame: Change from baseline respiratory quotient at 8 weeks
respiratory quotient in the treadmill test
Time frame: Change from baseline time at 8 weeks
Time in the 3000 meters running test
Time frame: Change from baseline Lactate at 8 weeks
Lactate change after the 3000m test
Time frame: Change from baseline speed at 8 weeks
Speed in the 3000 meters running test
Time frame: Change from baseline heart rate at 8 weeks
Heart rate in the 3000 meters running test
Time frame: Through study completion (8 weeks)
Subjective perceived exertion. Scores goes from 0 to 10. Higher scores indicate a higher perceived exertion.
Time frame: Through study completion (8 weeks)
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)
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)
Precompetitive anxiety levels. Instrument: Revised Competitive State Anxiety Inventory-2. Scores goes from 1 (no anxiety) to 4 (a lot of anxiety).
Time frame: Change from baseline body composition at 8 weeks
Percentage of fat mass
Time frame: Change from baseline body composition at 8 weeks
Percentage of muscle mass
Time frame: Change from baseline body composition at 8 weeks
Percentage of bone mass
Time frame: Change from baseline body composition at 8 weeks
Percentage of body water
Time frame: Change from baseline height at 8 weeks
Height in meters
Time frame: Change from baseline weight at 8 weeks
Weight in kilograms
Time frame: Change from Baseline Heart Rate Variability at 8 weeks
Parasympathetic tone and recovery indicator
Universidad de Almeria
Other
Physiological and Psychological Effects of Heart Rate Variability Based Training in Endurance Athletes
Acronym: HRV-btA
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