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. 2025 Dec;57(1):2494683.
doi: 10.1080/07853890.2025.2494683. Epub 2025 May 8.

Development of a preliminary multivariable model predicting hamstring strain injuries during preseason screening in soccer players: a multidisciplinary approach

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Development of a preliminary multivariable model predicting hamstring strain injuries during preseason screening in soccer players: a multidisciplinary approach

Diane Baize et al. Ann Med. 2025 Dec.

Abstract

Objective: Reducing the incidence of hamstring strain injuries (HSIs) is a priority for soccer clubs. However, robust multifactorial predictive models are lacking and potential predictors such as sprint kinematics, performance fatigability, and psychological variables have been overlooked. Thus, the aim of this study was to develop a preliminary parsimonious multifactorial model to predict players at risk of HSI through preseason screening.

Materials and method: Psychological, physiological, kinematic, performance fatigability and health-related variables were collected for 120 regional and national soccer players during the 2022 preseason. HSIs were prospectively recorded over the entire soccer season. After variable selection, logistic regressions with the Wald backward stepwise method were used to refine the model. The predictive abilities of the model and of the individual variables were determined using the area under the receiver operating characteristic curve (AUC).

Results: Twenty-nine players sustained an HSI during the follow-up period. The final model included eight variables: age, sex, HSI history, knee flexor performance fatigability, sprint performance (best sprint time and maximal theoretical velocity V0), perceived vulnerability to injury, and subjective norms in soccer. While its model was preliminary, it showed good fit indices and strong predictive performance (true positive rate: 79%, AUC = .82). None of the variables evaluated independently demonstrated satisfactory performance in predicting HSI (AUC≤.65).

Conclusion: Using a multidisciplinary approach and measurements of only a few variables during preseason screening, the current model tends to demonstrate high accuracy in identifying soccer players at risk of HSI.

Keywords: European football; performance fatigability; primary prevention; psychological factors; sports injuries.

Plain language summary

The study introduces a preliminary multifactorial model derived from preseason screening, effectively predicting 79% of subsequent HSIs.The performance fatigability of the knee flexors, perceived injury vulnerability and internalization of subjective norms about fatigue and pain in soccer play crucial roles in predicting HSI occurrence, alongside other predictors such as age, HSI history and sprint performance.Individual HSI predictors, assessed independently, show limited predictive power.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
Testing procedure. * = randomized order; x = randomized order of the first lower limb evaluated. Abbreviations: IL = intermediate length position; LL = long length position; MVIC = maximal voluntary isometric contraction; pre = pre-sprints; post = post-sprints; SL = short length position.
Figure 2.
Figure 2.
Apparent calibration of the final predictive model (without adjustment for overfitting). Group data are presented with their 95% confidence intervals. HSI = hamstring strain injury.
Figure 3.
Figure 3.
Receiver operating characteristic curves of the model and of each individual variable of the model when considered separately. Abbreviations: ΔTmaxKF in Post1 dom = percentage loss between pre-sprint and the first measure post-sprint of the isometric torque of knee flexors of the dominant lower limb at long muscle length; HSI = hamstring strain injury; Max V0 = maximal value of the theoretical maximal velocity of the 10 sprints; ROC curves = receiver operating characteristic curves.

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