Key result
Better than average perceived sleep quality, fatigue, stress, and mood were associated with higher heart rate variability (LnRMSSD) compared to worse than average ratings (p < 0.05).
Why the study?
Is there an association between athlete-self report measures of recovery and heart rate variability among Division-1 sprint-swimmers?
Observational (n=17)
Is there an association between athlete-self report measures of recovery and heart rate variability among Division-1 sprint-swimmers?
p-value: p=< 0.05
Subjective measures of recovery such as sleep quality, fatigue, stress, and mood are significantly associated with heart rate variability in sprint-swimmers, suggesting non-training factors influence HRV.
Supports integrating ASRM with HRV for athlete monitoring; leaves open whether combined use improves training load decisions.
Heart rate variability (HRV) is a physiological marker of training adaptation among athletes. However, HRV interpretation is challenging when assessed in isolation due to its sensitivity to various training and non-training-related factors. The purpose of this study was to determine the association between athlete-self report measures of recovery (ASRM) and HRV throughout a preparatory training period. Ultra-short natural logarithm of the root mean square of successive differences (LnRMSSD) and subjective ratings of sleep quality, fatigue, muscle soreness, stress and mood were acquired daily for 4 weeks among Division-1 sprint-swimmers (n = 17 males). ASRM were converted to z-scores and classified as average (z-score −0.5–0.5), better than average (z-score > 0.5) or worse than average (z-score < −0.5). Linear mixed models were used to evaluate differences in LnRMSSD based on ASRM classifications. LnRMSSD was higher (p < 0.05) when perceived sleep quality, fatigue, stress and mood were better than average versus worse than average. Within-subject correlations revealed that 15 of 17 subjects demonstrated at least one relationship (p < 0.05) between LnRMSSD and ASRM variables. Changes in HRV may be the result of non-training related factors and thus practitioners are encouraged to include subjective measures to facilitate targeted interventions to support training adaptations.
No takes yet. Share an insight, caveat, or question.
Flatt et al. (2018) conducted an observational in Division-1 sprint-swimmers (n=17). Better than average athlete-self report measures of recovery (ASRM) vs. Worse than average ASRM was evaluated on Differences in LnRMSSD based on ASRM classifications (p=< 0.05). Better than average perceived sleep quality, fatigue, stress, and mood were associated with higher heart rate variability (LnRMSSD) compared to worse than average ratings (p < 0.05).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: