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比较女子青少年排球急性:慢性工作量计算的两种方法

Comparing Two Methods of Acute: Chronic Workload Calculations in Girls' Youth Volleyball.

作者信息

Schumann Claire, Wojciechowski Monica, Bunn Jennifer A

机构信息

College of Osteopathic Medicine, Sam Houston State University, Conroe, TX 77304, USA.

College of Health Sciences, Sam Houston State University, Huntsville, TX 77341, USA.

出版信息

Sports (Basel). 2023 Feb 23;11(3):51. doi: 10.3390/sports11030051.

DOI:10.3390/sports11030051
PMID:36976937
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10051422/
Abstract

Monitoring training load using acute:chronic workload ratio (ACWR) enables coaches to maximize fitness potential while mitigating injury risks by maintaining an optimal ACWR range. There are two methods of determining ACWR: rolling average (RA) and exponentially weighted moving average (EWMA). This study aimed to (1) compare weekly changes in kinetic energy (KE) output in female youth athletes ( = 24) during the high school (HSVB) and club volleyball (CVB) seasons and (2) evaluate the agreement in RA and EWMA ACWR calculations during the HSVB and CVB seasons. Weekly load was measured using a wearable device, and RA and EWMA ACWRs were calculated using KE. The HSVB data showed spikes in ACWR at the onset of the season and during one week mid-season ( = 0.001-0.015), but most weeks were in the optimal ACWR range. The CVB data had greater weekly variations throughout the season ( < 0.05), and many weeks were outside of the optimal ACWR range. There were moderate correlations between the two ACWR methods (HSVB: r = 0.756, < 0.001; CVB: r = 0.646, < 0.001). Both methods can be used as a monitoring tool for consistent training like that in HSVB, but more research is needed to investigate appropriate methods for an inconsistent season like that of CVB.

摘要

使用急性

慢性工作量比率(ACWR)监测训练负荷,能够使教练在保持最佳ACWR范围的同时,将体能潜力最大化并降低受伤风险。有两种确定ACWR的方法:滚动平均值(RA)和指数加权移动平均值(EWMA)。本研究旨在:(1)比较高中女子排球(HSVB)赛季和俱乐部排球(CVB)赛季中24名青年女性运动员每周动能(KE)输出的变化;(2)评估HSVB和CVB赛季中RA和EWMA ACWR计算结果的一致性。使用可穿戴设备测量每周负荷,并使用KE计算RA和EWMA ACWR。HSVB数据显示,赛季开始时和赛季中期的一周内ACWR出现峰值(P = 0.001 - 0.015),但大多数周处于最佳ACWR范围内。CVB数据在整个赛季中每周变化更大(P < 0.05),许多周超出了最佳ACWR范围。两种ACWR方法之间存在中等程度的相关性(HSVB:r = 0.756,P < 0.001;CVB:r = 0.646,P < 0.001)。两种方法都可以用作监测工具,用于像HSVB那样的持续训练,但对于像CVB那样赛季情况不一致的情况,还需要更多研究来探究合适的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/963ed82345a8/sports-11-00051-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/c8a54de8370e/sports-11-00051-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/c19e94108f37/sports-11-00051-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/5f1983b9cc02/sports-11-00051-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/963ed82345a8/sports-11-00051-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/c8a54de8370e/sports-11-00051-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/c19e94108f37/sports-11-00051-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/5f1983b9cc02/sports-11-00051-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5989/10051422/963ed82345a8/sports-11-00051-g004.jpg

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