Multivariate modelling of subjective and objective monitoring data improve the detection of non-contact injury risk in elite Australian footballers

被引:62
作者
Colby, Marcus J. [1 ,2 ]
Dawson, Brian [1 ,2 ]
Peeling, Peter [1 ,3 ]
Heasman, Jarryd [2 ]
Rogalski, Brent [2 ]
Drew, Michael K. [4 ,5 ]
Stares, Jordan [1 ,2 ]
Zouhal, Hassane [6 ]
Lester, Leanne [1 ]
机构
[1] Univ Western Australia, Sch Sport Sci Exercise & Hlth, Nedlands, WA, Australia
[2] West Coast Eagles Football Club, Perth, WA, Australia
[3] Western Australian Inst Sport, Perth, WA, Australia
[4] Australian Inst Sport, Bruce, ACT, Australia
[5] Federat Univ Australia, Australian Ctr Res Injury Sport & Its Prevent ACRI, Ballarat, Vic, Australia
[6] Univ Rennes 2, ENS Rennes, UFR APS, Movement Sport & Hlth Sci Lab M2S, Rennes, France
关键词
Injury prevention; Team sports; Load monitoring; Acute:chronic workload ratio; TRAINING LOAD; RELIABILITY; WORKLOAD; SPORTS; GPS;
D O I
10.1016/j.jsams.2017.05.010
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
Objectives: To assess the association between workload, subjective wellness, musculoskeletal screening measures and non-contact injury risk in elite Australian footballers. Design: Prospective cohort study. Methods: Across 4 seasons in 70 players from one club, cumulative weekly workloads (acute; 1 week, chronic; 2-, 3-, 4-week) and acute:chronic workload ratio's (ACWR: 1-week load/average 4-weekly load) for session-Rating of Perceived Exertion (sRPE) and GPS-derived distance and sprint distance were calculated. Wellness, screening and non-contact injury data were also documented. Univariate and multivariate regression models determined injury incidence rate ratios (IRR) while accounting for interaction/moderating effects. Receiver operating characteristics determined model predictive accuracy (area under curve: AUC). Results: Very low cumulative chronic (2-, 3-, 4-week) workloads were associated with the greatest injury risk (univariate IRR = 1.71-2.16,95% Cl = 1.10-4.52) in the subsequent week. In multivariate analysis, the interaction between a low chronic load and a very high distance (adj-IRR = 2.60, 95% Cl= 1.07-6.34) or low sRPE ACWR (adj-IRR = 2.52,95% Cl = 1.01-6.29) was associated with increased injury risk. Subjectively reporting "yes" (vs. "no") for old lower limb pain and heavy non-football activity in the previous 7 days (multivariate adj-IRR = 2.01-2.25,95% Cl = 1.02-4.95) and playing experience (>9 years) (multivariate adj-IRR =2.05,95% Cl = 1.03-4.06) was also associated with increased injury risk, but screening data were not. Predictive capacity of multivariate models was significantly better than univariate (AUC(multivariate) =0.70, 95% Cl 0.64-0.75; AUC(univariate) range = 0.51-0.60). Conclusions: Chronic load is an important moderating factor in the workload-injury relationship. Low chronic loads coupled with low or very high ACWR are associated with increased injury risk. (C) 2017 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1068 / 1074
页数:7
相关论文
共 30 条
  • [1] Why screening tests to predict injury do not work-and probably never will ... : a critical review[J]. Bahr, Roald. BRITISH JOURNAL OF SPORTS MEDICINE, 2016(13)
  • [2] Complex systems approach for sports injuries: moving from risk factor identification to injury pattern recognition-narrative review and new concept[J]. Bittencourt, N. F. N.;Meeuwisse, W. H.;Mendonca, L. D.;Nettel-Aguirre, A.;Ocarino, J. M.;Fonseca, S. T. BRITISH JOURNAL OF SPORTS MEDICINE, 2016(21)
  • [3] The relationship between preseason range of motion and muscle strain injury in elite soccer players[J]. Bradley, Paul S.;Portas, Matthew D. JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2007(04)
  • [4] ACCELEROMETER AND GPS-DERIVED RUNNING LOADS AND INJURY RISK IN ELITE AUSTRALIAN FOOTBALLERS[J]. Colby, Marcus J.;Dawson, Brian;Heasman, Jarryd;Rogalski, Brent;Gabbett, Tim J. JOURNAL OF STRENGTH AND CONDITIONING RESEARCH, 2014(08)
  • [5] The Influence of In-Season Training Loads on Injury Risk in Professional Rugby Union[J]. Cross, Matthew J.;Williams, Sean;Trewartha, Grant;Kemp, Simon P. T.;Stokes, Keith A. INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE, 2016(03)
  • [6] COMPARING THE AREAS UNDER 2 OR MORE CORRELATED RECEIVER OPERATING CHARACTERISTIC CURVES - A NONPARAMETRIC APPROACH[J]. DELONG, ER;DELONG, DM;CLARKEPEARSON, DI. BIOMETRICS, 1988(03)
  • [7] The reliability of musculoskeletal screening tests used in cricket[J]. Dennis, Rebecca J.;Finch, Caroline F.;Elliott, Bruce C.;Farhart, Patrick J. PHYSICAL THERAPY IN SPORT, 2008(01)
  • [8] Time to bin the term 'overuse' injury: is 'training load error' a more accurate term?[J]. Drew, M. K.;Purdam, C. BRITISH JOURNAL OF SPORTS MEDICINE, 2016(22)
  • [9] Sports-related workload and injury risk: simply knowing the risks will not prevent injuries: Narrative review[J]. Drew, Michael K.;Cook, Jill;Finch, Caroline F. BRITISH JOURNAL OF SPORTS MEDICINE, 2016(21)
  • [10] The Relationship Between Training Load and Injury, Illness and Soreness: A Systematic and Literature Review[J]. Drew, Michael K.;Finch, Caroline F. SPORTS MEDICINE, 2016(06)