Higher daily heart rate variability fluctuation (lnRMSSDcv) was associated with greater perceived fatigue (r=-0.55) and lower fitness (r=-0.65) in collegiate female soccer players.
Observational (n=10)
Does varying training load affect daily heart rate variability and correlate with fatigue and fitness in collegiate female soccer players?
In collegiate female soccer players, greater fluctuations in daily heart rate variability are associated with higher perceived fatigue and lower fitness levels.
Effect estimate: r=-0.55 (fatigue), r=-0.65 (fitness) (95% CI -0.84 to -0.003 (fatigue), -0.89 to -0.15 (fitness) [90% CL])
Heart rate variability (HRV) is an objective physiological marker that may be useful for monitoring training status in athletes. However, research aiming to interpret daily HRV changes in female athletes is limited. The objectives of this study were: 1) to assess daily HRV (i.e., log-transformed root mean square of successive R-R interval differences, lnRMSSD) trends both as a team and intra-individually in response to varying training load (TL); and 2) to determine relationships between lnRMSSD fluctuation (coefficient of variation, lnRMSSDcv) and psychometric and fitness parameters in collegiate female soccer players (N.=10).Ultra-short, Smartphone-derived lnRMSSD and psychometrics were evaluated daily throughout 2 consecutive weeks of high and low TL. After the training period, fitness parameters were assessed.When compared to baseline, reductions in lnRMSSD ranged from unclear to very likely moderate during the high TL week (effect size ±90% confidence limits ES±90% CL =-0.21±0.74 to -0.64±0.78, respectively) while lnRMSSD reductions were unclear during the low TL week (ES±90% CL=-0.03±0.73 to -0.35±0.75, respectively). A large difference in TL between weeks was observed (ES±90% CL=1.37±0.80). Higher lnRMSSDcv was associated with greater perceived fatigue and lower fitness (r upper and lower 90% CL=-0.55 -0.84, -0.003 large, -0.65 -0.89, -0.15 large).Athletes with lower fitness or higher perceived fatigue demonstrated greater reductions in lnRMSSD throughout training. This information can be useful when interpreting individual lnRMSSD responses throughout training for managing player fatigue.
Flatt et al. (Mon,) conducted a observational in Training load monitoring in athletes (n=10). High training load vs. Low training load and baseline was evaluated on Daily HRV (lnRMSSD) trends and relationship between lnRMSSD fluctuation (lnRMSSDcv) and psychometric/fitness parameters (r=-0.55 (fatigue), r=-0.65 (fitness), 95% CI -0.84 to -0.003 (fatigue), -0.89 to -0.15 (fitness) [90% CL]). Higher daily heart rate variability fluctuation (lnRMSSDcv) was associated with greater perceived fatigue (r=-0.55) and lower fitness (r=-0.65) in collegiate female soccer players.