Different external training workload models show no association with injury in competitive junior tennis players
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 exter...
Gespeichert in:
Veröffentlicht in: | German journal of exercise and sport research 2022-03, Vol.52 (1), p.97-104 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
ISSN: | 2509-3142 2509-3150 |
DOI: | 10.1007/s12662-021-00751-5 |