The Effects of a Peaking Protocol on Heart Rate Variability and its Predictive Associations with Wilks Coefficient in Competitive Powerlifters

Mitchell C. Cholewinski, Steven B. Machek, T. Cardaci, Dylan T. Wilburn, D. Willoughby, L. Funderburk, Andrew R. Gallucci
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Abstract

Powerlifting competition is comprised of three barbell lifts: squat, bench press, and deadlift that are all completed in a single day and summed together, ultimately normalized to the lifter’s body weight via the Wilks Coefficient. This figure is then subsequently employed to determine the “best” athlete in that meet. During the competition preparation, powerlifters often undergo peaking protocols which include physiologically taxing overreach and low-volume, recovery-focused taper phases to collectively induce super-compensatory strength adaptations. Heart rate variability (HRV) has emerged as an easily accessible, user-friendly biomarker for autonomic nervous system-associated fatigue and readiness. Therefore, the purpose of this observational study was to investigate the potential impact of a peaking protocol on fatigue/readiness via HRV measurements and its possible relationship with competitive powerlifting performance. Daily measurements of HRV were taken, each morning, using the HRV4Trainning smartphone application by nineteen competitive powerlifters (26.16±4.56 years) from 14-days prior to a peaking protocol, throughout individual peaking phases, on meet day, and 14-days following competition. A quadratic regression was used to determine the predictability of HRV measurements and powerlifting performance. The change in HRV from competition day to baseline was found to be a significant predictor of Wilks coefficient (p=0.038,
竞技举重运动员的峰值方案对心率变异性的影响及其与Wilks系数的预测关联
力量举重比赛包括三个杠铃举:深蹲、卧推和硬举,所有这些都要在一天内完成,并加在一起,最终通过威尔克斯系数标准化为举重运动员的体重。这个数字随后被用来确定该届比赛的“最佳”运动员。在比赛准备过程中,力量举重运动员通常会经历峰值训练,包括生理负荷过大和低量、以恢复为重点的逐渐减少阶段,以共同诱导超补偿性力量适应。心率变异性(HRV)已成为自主神经系统相关疲劳和准备的一种易于获取、用户友好的生物标志物。因此,本观察性研究的目的是通过HRV测量来研究峰值方案对疲劳/准备程度的潜在影响,以及它与竞技举重表现的可能关系。19名举重运动员(26.16±4.56岁)每天早上使用hrv4training智能手机应用程序测量HRV,从峰值协议前14天开始,在个人峰值阶段,在比赛当天和比赛后14天。二次回归用于确定HRV测量和动力提升性能的可预测性。从比赛日到基线HRV的变化被发现是Wilks系数的显著预测因子(p=0.038;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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