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- Title
The Influence of In-Season Training Loads on Injury Risk in Professional Rugby Union.
- Authors
Cross, Matthew J.; Williams, Sean; Trewartha, Grant; Kemp, Simon P. T.; Stokes, Keith A.
- Abstract
Purpose: To explore the association between in-season training-load (TL) measures and injury risk in professional rugby union players. Methods: This was a 1-season prospective cohort study of 173 professional rugby union players from 4 English Premiership teams. TL (duration x session-RPE) and time-loss injuries were recorded for all players for all pitch- and gym-based sessions. Generalized estimating equations were used to model the association between in-season TL measures and injury in the subsequent week. Results: Injury risk increased linearly with 1-wk loads and week-to-week changes in loads, with a 2-SD increase in these variables (1245 AU and 1069 AU, respectively) associated with odds ratios of 1.68 (95% CI 1.05-2.68) and 1.58 (95% CI 0.98-2.54). When compared with the reference group (<3684 AU), a significant nonlinear effect was evident for 4-wk cumulative loads, with a likely beneficial reduction in injury risk associated with intermediate loads of 5932-8651 AU (OR 0.55, 95% CI 0.22-1.38) (this range equates to around 4 wk of average in-season TL) and a likely harmful effect evident for higher loads of >8651 AU (OR 1.39, 95% CI 0.98-1.98). Conclusions: Players had an increased risk of injury if they had high 1-wk cumulative loads (1245 AU) or large week-to-week changes in TL (1069 AU). In addition, a U-shaped relationship was observed for 4-wk cumulative loads, with an apparent increase in risk associated with higher loads (>8651 AU). These measures should therefore be monitored to inform injury-risk-reduction strategies.
- Subjects
UNITED Kingdom; EXERCISE; RUGBY football injuries; ANALYSIS of variance; CONFIDENCE intervals; STATISTICAL correlation; DATABASES; EXERCISE physiology; LONGITUDINAL method; PROBABILITY theory; STATISTICAL significance; PROFESSIONAL athletes; PHYSICAL training &; conditioning; EXERCISE intensity; DATA analysis software; ODDS ratio; INJURY risk factors
- Publication
International Journal of Sports Physiology & Performance, 2016, Vol 11, Issue 3, p350
- ISSN
1555-0265
- Publication type
Article
- DOI
10.1123/ijspp.2015-0187