082 Training load and other risk factors for soft tissue injury risk in professional rugby union: a 13 team, 2-season study of 383 injuries

AbstractTraining load monitoring has grown in recent years with the acute:chronic workload ratio (ACWR) widely used to aggregate data to inform decision-making on injury risk. Several methods have been described to calculate the ACWR and numerous methodological issues have been raised. Therefore, this study examined the relationship between the ACWR and injury in a sample of 696 players from 13 professional rugby clubs over two seasons for 1718 injuries of all types and a further analysis of 383 soft tissue injuries specifically. Of the 192 comparisons undertaken for both injury groups, 40% (all injury) and 31% (soft tissue injury) were significant. Furthermore, there appeared to be no calculation method that consistently demonstrated a relationship with injury. Some calculation methods supported previous work for a “sweet spot” in injury risk, while a substantial number of methods displayed no such relationship. This study is the largest to date to have investigated the relationship between the ACWR and injury risk and demonstrates that there appears to be no consistent association between the two. This suggests that alternative methods of training load aggregation may provide more useful information, but these should be considered in the wider context of other established risk factors.

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Severe soft-tissue injury following intravenous infusion of phenytoin. Patient and drug administration risk factors

Archives of Internal Medicine ◽

10.1001/archinte.148.6.1329 ◽

1988 ◽

Vol 148 (6) ◽

pp. 1329-1333 ◽

Cited By ~ 7

Author(s):

R. F. Spengler

Keyword(s):

Risk Factors ◽

Soft Tissue ◽

Drug Administration ◽

Intravenous Infusion ◽

Tissue Injury ◽

Soft Tissue Injury ◽

Severe Soft Tissue ◽

Severe Soft Tissue Injury

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COL5A1 gene variants previously associated with reduced soft tissue injury risk are associated with elite athlete status in rugby

BMC Genomics ◽

10.1186/s12864-017-4187-3 ◽

2017 ◽

Vol 18 (S8) ◽

Cited By ~ 7

Author(s):

Shane M. Heffernan ◽

Liam P. Kilduff ◽

Robert M. Erskine ◽

Stephen H. Day ◽

Georgina K. Stebbings ◽

...

Keyword(s):

Soft Tissue ◽

Injury Risk ◽

Elite Athlete ◽

Tissue Injury ◽

Soft Tissue Injury ◽

Gene Variants

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Training volume and soft tissue injury in professional and non-professional rugby union players: a systematic review

British Journal of Sports Medicine ◽

10.1136/bjsports-2015-095926 ◽

2016 ◽

Vol 51 (13) ◽

pp. 1012-1020 ◽

Cited By ~ 6

Author(s):

Shane Ball ◽

Mark Halaki ◽

Rhonda Orr

Keyword(s):

Systematic Review ◽

Soft Tissue ◽

Tissue Injury ◽

Soft Tissue Injury ◽

Rugby Union ◽

Training Volume

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Soft Tissue Injury Risk in Chest and Abdomen of 3YO child Based on CRS Dynamic Load

2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) ◽

10.1109/icmtma.2018.00139 ◽

2018 ◽

Author(s):

Yong Han ◽

Le Yuan Peng ◽

Di Pan ◽

Hui Cong Tang ◽

Hongwu Huang ◽

...

Keyword(s):

Soft Tissue ◽

Dynamic Load ◽

Injury Risk ◽

Tissue Injury ◽

Soft Tissue Injury

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Does Overexertion Correlate With Increased Injury? The Relationship Between Player Workload and Soft Tissue Injury in Professional American Football Players Using Wearable Technology

Sports Health A Multidisciplinary Approach ◽

10.1177/1941738119868477 ◽

2019 ◽

Vol 12 (1) ◽

pp. 66-73 ◽

Cited By ~ 5

Author(s):

Ryan T. Li ◽

Michael J. Salata ◽

Sagar Rambhia ◽

Joe Sheehan ◽

James E. Voos

Keyword(s):

Soft Tissue ◽

Tissue Injury ◽

Soft Tissue Injury ◽

Soft Tissue Injuries ◽

Wearable Technology ◽

Training Load ◽

American Football ◽

Football Players ◽

Tissue Injuries ◽

The Relationship

Background: The relationship of training load to injury using wearable technology has not been investigated in professional American football players. The primary objective of this study was to determine the correlation between player workload and soft tissue injury over the course of a football season utilizing wearable global positioning system (GPS) technology. Hypothesis: Increased training load is associated with a higher incidence of soft tissue injuries. Study Design: Case-control study. Level of Evidence: Level 3. Methods: Player workloads were assessed during preseason and regular-season practice sessions using GPS tracking and triaxial accelerometry from 2014 to 2016. Soft tissue injuries were recorded during each season. Player workload during the week of injury (acute) and average weekly workload during the 4 weeks (chronic) prior to injury were determined for each injury and in uninjured position-matched controls during the same week. A matched-pairs t test was used to determine differences in player workload. Subgroup analysis was also conducted to determine whether observed effects were confounded by training period and type of injury. Results: In total, 136 lower extremity injuries were recorded. Of the recorded injuries, 101 injuries with complete GPS and clinical data were included in the analysis. Injuries were associated with greater increases in workload during the week of injury over the prior month when compared with uninjured controls. Injured players saw a 111% (95% CI, 66%-156%) increase in workload whereas uninjured players saw a 73% (95% CI, 34%-112%) increase in workload during the week of injury ( P = 0.032). Individuals who had an acute to chronic workload ratio higher than 1.6 were 1.5 times more likely to sustain an injury relative to time- and position-matched controls (64.6% vs 43.1%; P = 0.004). Conclusion: Soft tissue injuries in professional football players were associated with sudden increases in training load over the course of a month. This effect seems to be especially pronounced during the preseason when player workloads are generally higher. These results suggest that a gradual increase of training intensity is a potential method to reduce the risk of soft tissue injury. Clinical Relevance: Preseason versus regular-season specific training programs monitored with wearable technology may assist team athletic training and medical staff in developing programs to optimize player performance.

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