چکیده:
Objectives. The purpose of this study was to assess the heart rate variability (HRV) during off-snow and on-snow
training in an elite female alpine ski racer. Methods. Using a case study design, a single elite female alpine ski racer
(25 years old; 175.6 cm; 69.9 kg) was recruited from the Canadian Alpine Ski Team. Training load was obtained
using the sessional rating of perceived exertion method (sRPE), and a weekly sum was calculated using all training
loads in a calendar week. Resting heart rate was recorded upon waking using a heart rate monitor. HRV was
calculated using the natural logarithms of the root mean square of the successive differences of R-R intervals
(lnRMSSD), and the coefficient of variation of lnRMSSD (lnRMSSDCV) with smallest worthwhile change (SWC).
Compliance was 19.53%. Results. An inverse relationship was identified between the extreme values for lnRMSSD
and sRPE. Daily lnRMSSDCV found two time-points that were significantly greater than SWC. The regression
analysis of daily lnRMSSDCV over time had a positive slope of 0.001 (R = 0.0029). Three major depressions in
lnRMSSD were observed over the recording period and two coincided with peak sRPE. The largest depression
occurred on the same day the subject sustained a shoulder dislocation during a routine strength training session. The
subject maintained training status over the training period but it was not predictive of future performance.
Conclusion. In this case study, the low compliance limited the ability to identify possible relationships; however
periods of functional overreach were identifiable.
خلاصه ماشینی:
"The purpose of this study was to assess the heart rate variability (HRV) during off-snow and on-snow training in an elite female alpine ski racer.
Longitudinal monitoring of HRV by calculating the natural logarithm of the root mean square of the successive differences of the R-R intervals (lnRMSSD) derived from daily short-term measurements has been recommended for use with athletes who train more than four days per week to evaluate readiness for training and competition (8, 9) Additionally, the smallest worthwhile change in HRV can be established in longitudinal settings by calculating a coefficient of variation for the lnRMSSD (lnRMSSDCV) over repeated measurements in an individual.
Given that physical fitness and the importance of monitoring fatigue for injury prevention strategies, investigating the utility of objectively determined metrics such as HRV may be extremely useful to sports science practitioners training elite athletes.
The primary purpose of this study was to investigate the feasibility and application of longitudinal HRV monitoring in an elite female alpine ski racer in a real-world, high- performance training environment.
CONCLUSION Despite less than consistent reporting, HRV was sensitive enough to detect changes in an elite female alpine ski racer’s training status, specifically when the athlete entered phases of functional overreaching and subsequent recovery.
Future research should focus on the potential value for using longitudinal HRV monitoring to predict performance, identify maladaptation to training and injury risk in a larger group of subjects particularly females, with specific measures to mitigate low compliance during in season competition periods."