Drop jump vertical kinetics identify male youth soccer players at greater risk of non-contact knee injury.
Jason S Pedley, Rhodri S Lloyd, Paul J Read and 3 others
PMID 40073652WHAT IT FOUND
Youth soccer players who land with a high ratio of braking to propulsive force during a drop jump have a 63% greater risk of non-contact knee injury.
Single peak force measures are not useful; the shape of the force-time curve matters.
Key findings
01A single standard deviation increase in the ratio of peak braking force to peak propulsive force was associated with a 63% greater risk of acute non-contact knee injury.
02Increased vertical stiffness during landing was associated with a 68% increase in risk of acute non-contact knee injury for each standard deviation increase.
03The multivariate logistic regression model demonstrated 'reasonable' predictive ability with an AUC of 0.748, achieving 94.4% sensitivity and 48.0% specificity at the identified cut-off.
STILL TO COME
How it was doneWhat they foundWhat it means for PTs
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What it does not show
The study observed only 18 acute non-contact knee injuries, which reduces statistical power and increases the risk of type II errors. Training load and exposure were not monitored, so differences in injury risk may be partly explained by varying amounts of play rather than biomechanics alone. Only a single baseline screening was conducted, ignoring potential changes in biomechanics or growth that occurred during the season. The predictive model had low specificity (48.0%), meaning it would incorrectly flag many uninjured players as being at high risk.
Declared interests
The authors declare no known competing financial interests or personal relationships that could have influenced the work.
The easy way to misread this
Do not interpret the 'reasonable' predictive accuracy of the model as a clinical screening tool for individual players. The model had 48.0% specificity, meaning it would falsely identify nearly half of the uninjured players as being at high risk. The findings are useful for identifying group-level risk factors to guide prevention programs, not for predicting which specific athlete will get injured.