Flatt Andrew A, Esco Michael R, Nakamura Fabio Y
Department of Health Sciences and Kinesiology, Biodynamics and Human Performance Center, Georgia Southern University, 11935 Abercorn St., Savannah, GA 31419, USA.
Department of Kinesiology, University of Alabama, Tuscaloosa, AL 35487, USA.
Sports (Basel). 2018 Sep 11;6(3):93. doi: 10.3390/sports6030093.
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 ( = 17 males). ASRM were converted to -scores and classified as average (-score -0.5⁻0.5), better than average (-score > 0.5) or worse than average (-score < -0.5). Linear mixed models were used to evaluate differences in LnRMSSD based on ASRM classifications. LnRMSSD was higher ( < 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 ( < 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.
心率变异性(HRV)是运动员训练适应性的生理指标。然而,由于HRV对各种训练和非训练相关因素敏感,单独评估时其解读具有挑战性。本研究的目的是确定在一个准备训练期内运动员自我报告的恢复指标(ASRM)与HRV之间的关联。在4周时间里,每天采集一级短跑游泳运动员(n = 17名男性)的超短逐次差值均方根的自然对数(LnRMSSD)以及睡眠质量、疲劳、肌肉酸痛、压力和情绪的主观评分。将ASRM转换为z分数,并分类为平均(z分数 -0.5至0.5)、优于平均(z分数> 0.5)或差于平均(z分数< -0.5)。使用线性混合模型评估基于ASRM分类的LnRMSSD差异。当感知到的睡眠质量、疲劳、压力和情绪优于平均水平而非差于平均水平时,LnRMSSD更高(P < 0.05)。个体内相关性显示,17名受试者中有15名在LnRMSSD与ASRM变量之间表现出至少一种关系(P < 0.05)。HRV的变化可能是非训练相关因素的结果,因此鼓励从业者纳入主观指标,以便进行有针对性的干预来支持训练适应性。