Format

Send to

Choose Destination
Sports (Basel). 2018 Sep 11;6(3). pii: E93. doi: 10.3390/sports6030093.

Association between Subjective Indicators of Recovery Status and Heart Rate Variability among Divison-1 Sprint-Swimmers.

Author information

1
Department of Health Sciences and Kinesiology, Biodynamics and Human Performance Center, Georgia Southern University, 11935 Abercorn St., Savannah, GA 31419, USA. aflatt@georgiasouthern.edu.
2
Department of Kinesiology, University of Alabama, Tuscaloosa, AL 35487, USA. mresco@ua.edu.
3
Department of Medicine and Aging Sciences, University of Chieti-Pescara, 66100 Chieti, Italy. fabioy_nakamura@yahoo.com.br.
4
The College of Healthcare Sciences, James Cook University, Townsville, QLD 4811, Australia. fabioy_nakamura@yahoo.com.br.

Abstract

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.

KEYWORDS:

autonomic; cardiovascular; parasympathetic; sports science; wellness

Supplemental Content

Full text links

Icon for Multidisciplinary Digital Publishing Institute (MDPI) Icon for PubMed Central
Loading ...
Support Center