Fields Jennifer B, Esco Michael R, Merrigan Justin J, White Jason B, Jones Margaret T
Frank Pettrone Center for Sports Performance, George Mason University, Fairfax, VA, USA.
School of Kinesiology, George Mason University, Manassas, VA, USA.
Int J Exerc Sci. 2020 May 1;13(4):778-788. doi: 10.70252/DBMN2489. eCollection 2020.
Monitoring internal load provides useful and non-invasive markers of training stress and adaptation. However, the relationship between internal load measures across a competitive window remains inconclusive and limited. The purpose of this study was to report various internal load measures, as well as their relationship, across a season in Division I women lacrosse athletes ( = 20). Ultra-short natural logarithm of the root mean square of successive differences (lnRMSSD), salivary testosterone, cortisol, the testosterone:cortisol ratio, and self-reported measures of fatigue and recovery were collected weekly for 13 weeks. Means ± SD were calculated to provide descriptive values and a repeated measure analysis of variance (ANOVA) was used to analyze changes in testosterone, cortisol, testosterone:cortisol ratio ( = 8), and lnRMSSD ( = 8) over the course of the season. Pearson correlations assessed relationships between all internal load measures. No significant time effect was observed in testosterone ( = 0.059), cortisol ( = 0.544), testosterone:cortisol ratio ( = 0.120), or lnRMSSD ( = 0.062). lnRMSSD was correlated with testosterone ( = 0.265), cortisol ( = -0.232), testosterone:cortisol ratio ( = 0.345), and fatigue ( = -0.256) ( < 0.05). More research is needed to examine relationships among markers of internal stress across all phases of the training cycle. Routine monitoring may help practitioners optimize training programming to reduce injury, illness, and overtraining.
监测内部负荷可提供训练压力和适应情况的有用且非侵入性的指标。然而，在一个竞争周期内，各种内部负荷测量指标之间的关系仍不明确且有限。本研究的目的是报告美国大学体育协会第一分区女子长曲棍球运动员（n = 20）在一个赛季中各种内部负荷测量指标及其相互关系。连续13周每周收集超短连续差值均方根的自然对数（lnRMSSD）、唾液睾酮、皮质醇、睾酮与皮质醇比值以及自我报告的疲劳和恢复指标。计算均值±标准差以提供描述性数值，并使用重复测量方差分析（ANOVA）来分析赛季过程中睾酮、皮质醇、睾酮与皮质醇比值（n = 8）和lnRMSSD（n = 8）的变化。Pearson相关性分析评估了所有内部负荷测量指标之间的关系。在睾酮（p = 0.059）、皮质醇（p = 0.544）、睾酮与皮质醇比值（p = 0.120）或lnRMSSD（p = 0.062）方面未观察到显著的时间效应。lnRMSSD与睾酮（p = 0.265）、皮质醇（p = -0.232）、睾酮与皮质醇比值（p = 0.345）和疲劳（p = -0.256）相关（p < 0.05）。需要更多研究来考察训练周期各阶段内部应激指标之间的关系。常规监测可能有助于从业者优化训练计划，以减少伤病和过度训练。
