Factors associated with increased propensity for hamstring injury in English Premier League soccer players G. Henderson 1, C.A. Barnes 2 and M.D. Portas.

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Factors associated with increased propensity for hamstring injury in English Premier League soccer players G. Henderson 1, C.A. Barnes 2 and M.D. Portas 1 1 Teesside University, UK and 2 Middlesbrough Football Club Methods Thirty six healthy, male, elite, professional soccer players (age mean 22.6, s= 5.2 years; height mean 1.81, s=0.08 m; mass mean 75.8; s=9.4 kg; lean mass mean 69.0, s=8.0 kg) During the first week of pre-season subjects were assessed for anthropometry, flexibility, lower limb strength and power, speed and agility. Over the 45 weeks of the subsequent competitive season all hamstring injuries were diagnosed clinically by the doctor, physiotherapists and sports therapists employed at the club, and subsequently confirmed by MRI scan. Multiple logistic regression analysis was performed to model individual physical and performance capabilities against propensity to sustain a hamstring injury. Results The strongest resultant model (88.6% predictive capability) contained age, lean mass, non-counter movement jump (NCM) performance and active hip flexion range of movement (ROM) as predictor variables, and was significantly (p<0.05) associated with increased propensity to sustain a hamstring injury. Odds for sustaining an injury increased 1.78X for every 1 year increase in age, 1.47 X for every 1cm increase in NCM and 1.29 X for every 1 o decrease in active range of hip flexion. The individual contribution of lean mass to the overall model was non significant (p>0.05). Summary and Conclusion Older, more powerful and less flexible soccer players are at greater risk of sustaining a hamstring injury. Introduction The relationship between the architecture of the hamstring muscle group, its contribution to human locomotion, and its propensity for injury is undeniably complex. Despite the fact that it is widely thought that in many instances the cause of hamstring injury may be multifactorial, to our knowledge nearly all studies to date have modelled predictor variables in isolation (Hoskins, W and Pollard, H., 2005: Journal of Manual Therapy, 10, ). The aim of this study was to concurrently model the influence of a number of physical and performance parameters on subsequent incidence of hamstring injury in a squad of English Premier League soccer players Discussion Results present a dilemma practically in that explosive power is an accepted pre-requisite for successful performance in elite soccer, yet increases in power would also appear to increase propensity for hamstring injury The likelihood of older athletes having suffered a previous hamstring injury could logically be assumed to be greater than for younger athletes through cumulative training exposure alone. Number of factors entered into the model were restricted due to sample size. BSig Odds Ratio 95% C.I for Odds Ratio LowerUpper Age ACTDOM NCMJUMP Lean Mass Constant Table 1: Logistic regression model predicting likelihood to sustain a hamstring injury on the dominant limb.