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Hamstring Strength Risk Factors and the Limits of Injury Prediction

Episode
1 of 2
Published
Dec 29th, 2017
Run time
16m 17s
Topic
Thinking fast and slow about hamstring injuries.
Your instructor
Nicol Van Dyk
Nicol Van Dyk
Enrolled as PhD project in the department of physical therapy and motor rehabilitation at Ghent University. Id...

Episode summary

Why hamstring strength measures showed only weak links to injury in a large football cohort at Aspetar, and why group associations from screening cannot be used to predict which individual player will get injured.

The part opens with Kahneman's fast and slow thinking and the idea that what you see is all there is, then sets out why teams screen at all. UEFA data show hamstring injuries still rising by about 4% per year, and the van Mechelen injury prevention model frames the search for risk factors. The speaker presents a PhD project with Ghent University that tested strength at low and high speeds and, later, Nordic strength. Across more than 190 injuries, only a few of many strength variables were associated with injury: lower quadriceps strength, lower eccentric hamstring strength and, in the categorized analysis, higher quadriceps strength. The injured and uninjured groups overlap almost completely, so no cutoff separates them. Using a weather forecast analogy, the speaker argues that association studies explain why injuries happen but do not predict them, and that real prediction would need large international injury registries.
Up next

Base Rates, Better Reasons to Screen and the Nordic Hamstring Exercise

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