Different external training workload models show no association with injury in competitive junior tennis players

被引:0
|
作者
Myers, Natalie L. [1 ]
Farnsworth, James L., II [1 ]
Knudson, Duane, V [1 ]
机构
[1] Texas State Univ, Dept Hlth & Human Performance, 601 Univ Dr, San Marcos, TX 78666 USA
关键词
Relative workload ratio; Training load; Load monitoring; Sensors; Athletes; MOVEMENT PATTERNS; GPS DEVICES; RISK; RATIO; LOAD; RELIABILITY; ACCURACY; RECOVERY; AVERAGES; CRICKET;
D O I
10.1007/s12662-021-00751-5
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Background A popular metric in the training load literature is the acute:chronic workload ratio (ACWR). In tennis players session rate of perceived exertion 7:28 day ACWR has been shown to be associated with injury; however, no study has examined whether this relationship is consistent with an external load variable using different ACWR time frames and mathematical calculations. The purpose of this study is to investigate different ACWRs using Cox proportional hazard models with both rolling averages and exponentially weighted moving averages (EWMA) from one external stroke load measurement. Methods Twenty-four junior players were recruited to participate in a 34-week study, 17 were included in the final analysis. The Sony Smart Tennis Sensor was used to quantify external load in the form of swing counts, and non-contact time loss injuries were recorded. The ACWRs were calculated using two models: rolling averages and EWMA. Results Ten players sustained injuries. The Cox regression model indicated that none of the rolling average ACWR(swing count) or any of the EWMA ACWR(swing count) models were associated with injury (P > 0.003). Conclusion Consequently, the ACWR(swing count) should not be used when determining injury risk in youth tennis players. This study incorporated one load variable, but injury is multifactorial and other variables need to be considered when reducing injury likelihood.
引用
收藏
页码:97 / 104
页数:8
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