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Published in: Sports Medicine 11/2017

Open Access 01-11-2017 | Original Research Article

How Much Rugby is Too Much? A Seven-Season Prospective Cohort Study of Match Exposure and Injury Risk in Professional Rugby Union Players

Authors: Sean Williams, Grant Trewartha, Simon P. T. Kemp, John H. M. Brooks, Colin W. Fuller, Aileen E. Taylor, Matthew J. Cross, Gavin Shaddick, Keith A. Stokes

Published in: Sports Medicine | Issue 11/2017

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Abstract

Introduction

Numerous studies have documented the incidence and nature of injuries in professional rugby union, but few have identified specific risk factors for injury in this population using appropriate statistical methods. In particular, little is known about the role of previous short-term or longer-term match exposures in current injury risk in this setting.

Objectives

Our objective was to investigate the influence that match exposure has upon injury risk in rugby union.

Method

We conducted a seven-season (2006/7–2012/13) prospective cohort study of time-loss injuries in 1253 English premiership professional players. Players’ 12-month match exposure (number of matches a player was involved in for ≥20 min in the preceding 12 months) and 1-month match exposure (number of full-game equivalent [FGE] matches in preceding 30 days) were assessed as risk factors for injury using a nested frailty model and magnitude-based inferences.

Results

The 12-month match exposure was associated with injury risk in a non-linear fashion; players who had been involved in fewer than ≈15 or more than ≈35 matches over the preceding 12-month period were more susceptible to injury. Monthly match exposure was linearly associated with injury risk (hazard ratio [HR]: 1.14 per 2 standard deviation [3.2 FGE] increase, 90% confidence interval [CI] 1.08–1.20; likely harmful), although this effect was substantially attenuated for players in the upper quartile for 12-month match exposures (>28 matches).

Conclusion

A player’s accumulated (12-month) and recent (1-month) match exposure substantially influences their current injury risk. Careful attention should be paid to planning the workloads and monitoring the responses of players involved in: (1) a high (>≈35) number of matches in the previous year, (2) a low (<≈15) number of matches in the previous year, and (3) a low-moderate number of matches in previous year but who have played intensively in the recent past. These findings make a major contribution to evidence-based policy decisions regarding match workload limits in professional rugby union.
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Literature
1.
go back to reference Williams S, Trewartha G, Kemp S, Stokes K. A meta-analysis of injuries in senior men’s professional Rugby Union. Sports Med. 2013;43(10):1043–55.CrossRefPubMed Williams S, Trewartha G, Kemp S, Stokes K. A meta-analysis of injuries in senior men’s professional Rugby Union. Sports Med. 2013;43(10):1043–55.CrossRefPubMed
2.
go back to reference Williams S, Trewartha G, Kemp SPT, Brooks JHM, Fuller CW, Taylor AE, et al. Time loss injuries compromise team success in Elite Rugby Union: a 7-year prospective study. Br J Sports Med. 2015;50:651–6.CrossRefPubMed Williams S, Trewartha G, Kemp SPT, Brooks JHM, Fuller CW, Taylor AE, et al. Time loss injuries compromise team success in Elite Rugby Union: a 7-year prospective study. Br J Sports Med. 2015;50:651–6.CrossRefPubMed
3.
go back to reference van Mechelen W, Hlobil H, Kemper HCG. Incidence, severity, etiology and prevention of sports injuries: a review of concepts. Sports Med. 1992;14(2):82–99.CrossRefPubMed van Mechelen W, Hlobil H, Kemper HCG. Incidence, severity, etiology and prevention of sports injuries: a review of concepts. Sports Med. 1992;14(2):82–99.CrossRefPubMed
4.
go back to reference Sedeaud A, Vidalin H, Tafflet M, Marc A, Toussaint JF. Rugby morphologies: “bigger and taller”, reflects an early directional selection. J Sports Med Phys Fitness. 2013;53(2):185–91.PubMed Sedeaud A, Vidalin H, Tafflet M, Marc A, Toussaint JF. Rugby morphologies: “bigger and taller”, reflects an early directional selection. J Sports Med Phys Fitness. 2013;53(2):185–91.PubMed
5.
go back to reference Quarrie KL, Hopkins WG. Changes in player characteristics and match activities in Bledisloe Cup rugby union from 1972 to 2004. J Sports Sci. 2007;25(8):895–903.CrossRefPubMed Quarrie KL, Hopkins WG. Changes in player characteristics and match activities in Bledisloe Cup rugby union from 1972 to 2004. J Sports Sci. 2007;25(8):895–903.CrossRefPubMed
8.
go back to reference Cresswell S, Eklund R. The nature of player burnout in rugby: key characteristics and attributions. J Appl Sport Psychol. 2006;18(3):219–39.CrossRef Cresswell S, Eklund R. The nature of player burnout in rugby: key characteristics and attributions. J Appl Sport Psychol. 2006;18(3):219–39.CrossRef
9.
go back to reference Hodge K, Lonsdale C, Ng JY. Burnout in elite rugby: relationships with basic psychological needs fulfilment. J Sports Sci. 2008;26(8):835–44.CrossRefPubMed Hodge K, Lonsdale C, Ng JY. Burnout in elite rugby: relationships with basic psychological needs fulfilment. J Sports Sci. 2008;26(8):835–44.CrossRefPubMed
10.
go back to reference Dellal A, Lago-Peñas C, Rey E, Chamari K, Orhant E. The effects of a congested fixture period on physical performance, technical activity and injury rate during matches in a professional soccer team. Br J Sports Med. 2015;49:390–4.CrossRefPubMed Dellal A, Lago-Peñas C, Rey E, Chamari K, Orhant E. The effects of a congested fixture period on physical performance, technical activity and injury rate during matches in a professional soccer team. Br J Sports Med. 2015;49:390–4.CrossRefPubMed
11.
go back to reference Dupont G, Nedelec M, McCall A, McCormack D, Berthoin S, Wisloff U. Effect of 2 soccer matches in a week on physical performance and injury rate. Am J Sports Med. 2010;38(9):1752–8.CrossRefPubMed Dupont G, Nedelec M, McCall A, McCormack D, Berthoin S, Wisloff U. Effect of 2 soccer matches in a week on physical performance and injury rate. Am J Sports Med. 2010;38(9):1752–8.CrossRefPubMed
13.
go back to reference Mahmood A, Ullah S, Finch C. Application of survival models in sports injury prevention research: a systematic review. Br J Sports Med. 2014;48(7):630.CrossRef Mahmood A, Ullah S, Finch C. Application of survival models in sports injury prevention research: a systematic review. Br J Sports Med. 2014;48(7):630.CrossRef
15.
go back to reference Bittencourt N, Meeuwisse W, Mendonça L, Nettel-Aguirre A, Ocarino J, Fonseca S. Complex systems approach for sports injuries: moving from risk factor identification to injury pattern recognition—narrative review and new concept. Br J Sports Med. 2016;50(21):1309–14.CrossRef Bittencourt N, Meeuwisse W, Mendonça L, Nettel-Aguirre A, Ocarino J, Fonseca S. Complex systems approach for sports injuries: moving from risk factor identification to injury pattern recognition—narrative review and new concept. Br J Sports Med. 2016;50(21):1309–14.CrossRef
16.
go back to reference Ullah S, Gabbett TJ, Finch CF. Statistical modelling for recurrent events: an application to sports injuries. Br J Sports Med. 2012;46(12):1–9. Ullah S, Gabbett TJ, Finch CF. Statistical modelling for recurrent events: an application to sports injuries. Br J Sports Med. 2012;46(12):1–9.
18.
go back to reference General Assembly of the World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. J Am Coll Dent. 2014;81(3):14–8. General Assembly of the World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. J Am Coll Dent. 2014;81(3):14–8.
19.
go back to reference Fuller CW, Molloy MG, Bagate C, Bahr R, Brooks JHM, Donson H, et al. Consensus statement on injury definitions and data collection procedures for studies of injuries in rugby union. Br J Sports Med. 2007;41(5):328–31.CrossRefPubMedPubMedCentral Fuller CW, Molloy MG, Bagate C, Bahr R, Brooks JHM, Donson H, et al. Consensus statement on injury definitions and data collection procedures for studies of injuries in rugby union. Br J Sports Med. 2007;41(5):328–31.CrossRefPubMedPubMedCentral
20.
go back to reference Orchard J. Orchard Sports Injury Classification System (OSICS). Sports Health. 1993;11:39–41. Orchard J. Orchard Sports Injury Classification System (OSICS). Sports Health. 1993;11:39–41.
21.
go back to reference Cunningham D, Shearer DA, Drawer S, Eager R, Taylor N, Cook C, et al. Movement demands of elite U20 international rugby union players. PLoS One. 2016;11(4):e0153275.CrossRefPubMedPubMedCentral Cunningham D, Shearer DA, Drawer S, Eager R, Taylor N, Cook C, et al. Movement demands of elite U20 international rugby union players. PLoS One. 2016;11(4):e0153275.CrossRefPubMedPubMedCentral
22.
go back to reference Jones MR, West DJ, Harrington BJ, Cook CJ, Bracken RM, Shearer DA, et al. Match play performance characteristics that predict post-match creatine kinase responses in professional rugby union players. BMC Sports Sci Med Rehabil. 2014;6(1):38.CrossRefPubMedPubMedCentral Jones MR, West DJ, Harrington BJ, Cook CJ, Bracken RM, Shearer DA, et al. Match play performance characteristics that predict post-match creatine kinase responses in professional rugby union players. BMC Sports Sci Med Rehabil. 2014;6(1):38.CrossRefPubMedPubMedCentral
23.
go back to reference Quarrie KL, Raftery M, Blackie J, Cook CJ, Fuller CW, Gabbett TJ, et al. Managing player load in professional rugby union: a review of current knowledge and practices. Br J Sports Med. 2017;51(5):421–7.CrossRefPubMed Quarrie KL, Raftery M, Blackie J, Cook CJ, Fuller CW, Gabbett TJ, et al. Managing player load in professional rugby union: a review of current knowledge and practices. Br J Sports Med. 2017;51(5):421–7.CrossRefPubMed
24.
go back to reference Rondeau V, Filleul L, Joly P. Nested frailty models using maximum penalized likelihood estimation. Stat Med. 2006;25(23):4036–52.CrossRefPubMed Rondeau V, Filleul L, Joly P. Nested frailty models using maximum penalized likelihood estimation. Stat Med. 2006;25(23):4036–52.CrossRefPubMed
26.
go back to reference Molenberghs G, Verbeke G. Likelihood ratio, score, and wald tests in a constrained parameter space. Am Stat. 2007;61(1):22–7.CrossRef Molenberghs G, Verbeke G. Likelihood ratio, score, and wald tests in a constrained parameter space. Am Stat. 2007;61(1):22–7.CrossRef
27.
go back to reference Gabbett TJ, Ullah S, Finch CF. Identifying risk factors for contact injury in professional rugby league players: application of a frailty model for recurrent injury. J Sci Med Sport. 2012;15(6):496–504.CrossRefPubMed Gabbett TJ, Ullah S, Finch CF. Identifying risk factors for contact injury in professional rugby league players: application of a frailty model for recurrent injury. J Sci Med Sport. 2012;15(6):496–504.CrossRefPubMed
28.
go back to reference Hopkins W, Marshall S, Batterham A, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–12.CrossRefPubMed Hopkins W, Marshall S, Batterham A, Hanin J. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41(1):3–12.CrossRefPubMed
29.
go back to reference Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform. 2006;1(1):50–7.CrossRefPubMed Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform. 2006;1(1):50–7.CrossRefPubMed
30.
go back to reference Hopkins WG. Linear models and effect magnitudes for research, clinical and practical applications. Sportscience. 2010;14:49–57. Hopkins WG. Linear models and effect magnitudes for research, clinical and practical applications. Sportscience. 2010;14:49–57.
31.
go back to reference Hopkins WG. A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a p value. Sportscience. 2007;11:16–20. Hopkins WG. A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a p value. Sportscience. 2007;11:16–20.
32.
go back to reference Cox DR. Regression models and life-tables. J R Stat Soc Series B Stat Methodol. 1972;34(2):187–220. Cox DR. Regression models and life-tables. J R Stat Soc Series B Stat Methodol. 1972;34(2):187–220.
33.
go back to reference Hougaard P. A class of multivariate failure time distributions. Biometrika. 1986;73(3):671–8. Hougaard P. A class of multivariate failure time distributions. Biometrika. 1986;73(3):671–8.
34.
go back to reference Burnham KP, Anderson DR. Multimodel inference understanding AIC and BIC in model selection. Soc Methods Res. 2004;33(2):261–304.CrossRef Burnham KP, Anderson DR. Multimodel inference understanding AIC and BIC in model selection. Soc Methods Res. 2004;33(2):261–304.CrossRef
35.
go back to reference Hardin JW, Hilbe JM, Hilbe J. Generalized linear models and extensions. College Station: Stata Press; 2007. Hardin JW, Hilbe JM, Hilbe J. Generalized linear models and extensions. College Station: Stata Press; 2007.
37.
go back to reference Gabbett TJ. Influence of fatigue on tackling ability in Rugby League players: role of muscular strength, endurance, and aerobic qualities. PLoS One. 2016;11(10):e0163161.CrossRefPubMedPubMedCentral Gabbett TJ. Influence of fatigue on tackling ability in Rugby League players: role of muscular strength, endurance, and aerobic qualities. PLoS One. 2016;11(10):e0163161.CrossRefPubMedPubMedCentral
38.
go back to reference Ivarsson A, Johnson U, Podlog L. Psychological predictors of injury occurrence: a prospective investigation of professional Swedish soccer players. J Sport Rehabil. 2013;22(1):19–26.CrossRefPubMed Ivarsson A, Johnson U, Podlog L. Psychological predictors of injury occurrence: a prospective investigation of professional Swedish soccer players. J Sport Rehabil. 2013;22(1):19–26.CrossRefPubMed
39.
go back to reference Schwellnus MP, Derman WE, Jordaan E, Page T, Lambert MI, Readhead C, et al. Elite athletes travelling to international destinations >5 time zone differences from their home country have a 2–3-fold increased risk of illness. Br J Sports Med. 2012;46(11):816–21.CrossRefPubMed Schwellnus MP, Derman WE, Jordaan E, Page T, Lambert MI, Readhead C, et al. Elite athletes travelling to international destinations >5 time zone differences from their home country have a 2–3-fold increased risk of illness. Br J Sports Med. 2012;46(11):816–21.CrossRefPubMed
41.
go back to reference Cross M, Williams S, Trewartha G, Kemp S, Stokes K. The influence of in-season training loads on injury risk in professional Rugby Union. Int J Sports Physiol Perform. 2016;11:350–5.CrossRefPubMed Cross M, Williams S, Trewartha G, Kemp S, Stokes K. The influence of in-season training loads on injury risk in professional Rugby Union. Int J Sports Physiol Perform. 2016;11:350–5.CrossRefPubMed
42.
go back to reference Deutsch M, Maw G, Jenkins D, Reaburn P. Heart rate, blood lactate and kinematic data of elite colts (under-19) rugby union players during competition. J Sports Sci. 1998;16(6):561–70.CrossRefPubMed Deutsch M, Maw G, Jenkins D, Reaburn P. Heart rate, blood lactate and kinematic data of elite colts (under-19) rugby union players during competition. J Sports Sci. 1998;16(6):561–70.CrossRefPubMed
43.
go back to reference Roberts SP, Trewartha G, Higgitt RJ, El-Abd J, Stokes KA. The physical demands of elite English rugby union. J Sports Sci. 2008;26(8):825–33.CrossRefPubMed Roberts SP, Trewartha G, Higgitt RJ, El-Abd J, Stokes KA. The physical demands of elite English rugby union. J Sports Sci. 2008;26(8):825–33.CrossRefPubMed
45.
go back to reference Hulin BT, Gabbett TJ, Blanch P, Chapman P, Bailey D, Orchard JW. Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers. Br J Sports Med. 2014;48(8):708–12.CrossRefPubMed Hulin BT, Gabbett TJ, Blanch P, Chapman P, Bailey D, Orchard JW. Spikes in acute workload are associated with increased injury risk in elite cricket fast bowlers. Br J Sports Med. 2014;48(8):708–12.CrossRefPubMed
46.
go back to reference Cook I. Analysing recurrent events in exercise science and sports medicine. S Afr J Sports Med. 2010;22(2):44–5.CrossRef Cook I. Analysing recurrent events in exercise science and sports medicine. S Afr J Sports Med. 2010;22(2):44–5.CrossRef
47.
go back to reference Heffernan SM, Kilduff LP, Day SH, Pitsiladis YP, Williams AG. Genomics in rugby union: a review and future prospects. Eur J Sport Sci. 2015;15(6):460–8.CrossRefPubMed Heffernan SM, Kilduff LP, Day SH, Pitsiladis YP, Williams AG. Genomics in rugby union: a review and future prospects. Eur J Sport Sci. 2015;15(6):460–8.CrossRefPubMed
48.
go back to reference Emery CA. Considering cluster analysis in sport medicine and injury prevention research. Clin J Sport Med. 2007;17(3):211–4.CrossRefPubMed Emery CA. Considering cluster analysis in sport medicine and injury prevention research. Clin J Sport Med. 2007;17(3):211–4.CrossRefPubMed
49.
go back to reference de Visser HM, Reijman M, Heijboer MP, Bos PK. Risk factors of recurrent hamstring injuries: a systematic review. Br J Sports Med. 2012;46(2):124–30.CrossRefPubMed de Visser HM, Reijman M, Heijboer MP, Bos PK. Risk factors of recurrent hamstring injuries: a systematic review. Br J Sports Med. 2012;46(2):124–30.CrossRefPubMed
50.
go back to reference Hägglund M, Waldén M, Ekstrand J. Previous injury as a risk factor for injury in elite football: a prospective study over two consecutive seasons. Br J Sports Med. 2006;40(9):767–72.CrossRefPubMedPubMedCentral Hägglund M, Waldén M, Ekstrand J. Previous injury as a risk factor for injury in elite football: a prospective study over two consecutive seasons. Br J Sports Med. 2006;40(9):767–72.CrossRefPubMedPubMedCentral
51.
go back to reference Swenson DM, Yard EE, Fields SK, Comstock RD. Patterns of recurrent injuries among us high school athletes, 2005–2008. Am J Sports Med. 2009;37(8):1586–93.CrossRefPubMed Swenson DM, Yard EE, Fields SK, Comstock RD. Patterns of recurrent injuries among us high school athletes, 2005–2008. Am J Sports Med. 2009;37(8):1586–93.CrossRefPubMed
52.
go back to reference Hamilton GM, Meeuwisse WH, Emery CA, Steele RJ, Shrier I. Past injury as a risk factor: an illustrative example where appearances are deceiving. Am J Epidemiol. 2011;173(8):941–8.CrossRefPubMed Hamilton GM, Meeuwisse WH, Emery CA, Steele RJ, Shrier I. Past injury as a risk factor: an illustrative example where appearances are deceiving. Am J Epidemiol. 2011;173(8):941–8.CrossRefPubMed
53.
go back to reference Fyfe JJ, Opar DA, Williams MD, Shield AJ. The role of neuromuscular inhibition in hamstring strain injury recurrence. J Electromyogr Kinesiol. 2013;23(3):523–30.CrossRefPubMed Fyfe JJ, Opar DA, Williams MD, Shield AJ. The role of neuromuscular inhibition in hamstring strain injury recurrence. J Electromyogr Kinesiol. 2013;23(3):523–30.CrossRefPubMed
54.
go back to reference Meeuwisse WH, Tyreman H, Hagel B, Emery C. A dynamic model of etiology in sport injury: the recursive nature of risk and causation. Clin J Sport Med. 2007;17(3):215–9.CrossRefPubMed Meeuwisse WH, Tyreman H, Hagel B, Emery C. A dynamic model of etiology in sport injury: the recursive nature of risk and causation. Clin J Sport Med. 2007;17(3):215–9.CrossRefPubMed
55.
go back to reference McLaren SJ, Weston M, Smith A, Cramb R, Portas MD. Variability of physical performance and player match loads in professional rugby union. J Sci Med Sport. 2016;19(6):493–7.CrossRefPubMed McLaren SJ, Weston M, Smith A, Cramb R, Portas MD. Variability of physical performance and player match loads in professional rugby union. J Sci Med Sport. 2016;19(6):493–7.CrossRefPubMed
56.
go back to reference Buchheit M, Haddad HA, Simpson BM, Palazzi D, Bourdon PC, Salvo VD, et al. Monitoring accelerations with GPS in football: time to slow down? Int J Sports Physiol Perform. 2014;9(3):442–5.CrossRefPubMed Buchheit M, Haddad HA, Simpson BM, Palazzi D, Bourdon PC, Salvo VD, et al. Monitoring accelerations with GPS in football: time to slow down? Int J Sports Physiol Perform. 2014;9(3):442–5.CrossRefPubMed
57.
go back to reference Gabbett TJ. Quantifying the physical demands of collision sports: does microsensor technology measure what it claims to measure? J Strength Cond Res. 2013;27(8):2319–22.CrossRefPubMed Gabbett TJ. Quantifying the physical demands of collision sports: does microsensor technology measure what it claims to measure? J Strength Cond Res. 2013;27(8):2319–22.CrossRefPubMed
58.
go back to reference Drew MK, Finch C. Moderate evidence for the relationship between training or competition load and injury: a systematic review. Sports Med. 2016;46(6):861–83.CrossRefPubMed Drew MK, Finch C. Moderate evidence for the relationship between training or competition load and injury: a systematic review. Sports Med. 2016;46(6):861–83.CrossRefPubMed
59.
go back to reference Cross M, Kemp S, Smith A, Trewartha G, Stokes K. Professional Rugby Union players have a 60% greater risk of time loss injury after concussion: a 2-season prospective study of clinical outcomes. Br J Sports Med. 2015;50:926–31.CrossRefPubMedPubMedCentral Cross M, Kemp S, Smith A, Trewartha G, Stokes K. Professional Rugby Union players have a 60% greater risk of time loss injury after concussion: a 2-season prospective study of clinical outcomes. Br J Sports Med. 2015;50:926–31.CrossRefPubMedPubMedCentral
Metadata
Title
How Much Rugby is Too Much? A Seven-Season Prospective Cohort Study of Match Exposure and Injury Risk in Professional Rugby Union Players
Authors
Sean Williams
Grant Trewartha
Simon P. T. Kemp
John H. M. Brooks
Colin W. Fuller
Aileen E. Taylor
Matthew J. Cross
Gavin Shaddick
Keith A. Stokes
Publication date
01-11-2017
Publisher
Springer International Publishing
Published in
Sports Medicine / Issue 11/2017
Print ISSN: 0112-1642
Electronic ISSN: 1179-2035
DOI
https://doi.org/10.1007/s40279-017-0721-3

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