| Literature DB >> 33151808 |
Rodney Whiteley1, Andrew Massey2, Tim Gabbett3, Peter Blanch4, Matthew Cameron5, Greta Conlan6, Matthew Ford7, Morgan Williams8.
Abstract
BACKGROUND: High-speed running is commonly implicated in the genesis of hamstring injury. The success of hamstring injury management is typically quantified by the duration of time loss or reinjury rate. These metrics do not consider any loss in performance after returning to play from hamstring injury. It is not known to what extent high-speed running is altered on return to play after such injury. HYPOTHESIS: Match high-speed running distance will change after returning from hamstring injury. STUDYEntities:
Keywords: football; hamstring; performance; professional; return to sport; shared decision making
Mesh:
Year: 2020 PMID: 33151808 PMCID: PMC8079800 DOI: 10.1177/1941738120964456
Source DB: PubMed Journal: Sports Health ISSN: 1941-0921 Impact factor: 3.843
Figure 1.Inclusion flowchart.
Player demographics
| Player Demographics | M (SD, Range) |
|---|---|
| Age, years | 25.18 (4.17, 18-34) |
| Height, m | 1.81 (0.07, 1.68-1.93) |
| Weight, kg | 74.03 (5.96, 62-85) |
| Body mass index, kg/m2 | 22.46 (0.98, 20.56-24.08) |
Figure 2.Variation in actual high-speed running distance (in meters) from predicted high-speed running distance for each individual prior and subsequent to hamstring strain injury. Each panel represents an individual player’s data, negative x-axis values represent games prior to the hamstring injury, positive values represent games after the injury. Where more than 1 injury occurred, the first injury data are presented in blue, and the second injury (reinjury) in red. Each data point represents a deviation from the predicted high-speed running distance for the individual player. Positive values mean the player ran greater distance at high speed, and negative values mean the player ran less on that game than the predicted amount given the player’s preinjury data. The available data pre- and postinjury were ranged from 6 to 15 (median 15 for each) and represents all matches that season before and after the injury.
Figure 3.Cumulative high-speed running distance residuals by game for all injury instances. The y-axis represents the deviation from the predicted high-speed running distance for each individual. Note the relatively tightly clustered values preinjury suggesting little game-to-game variance in high-speed running distance confirming the assumption of little within-individual variability in high-speed running preinjury, and the much larger variation after injury. The group mean is represented by the dashed red line showing a typical suppression of approximately 1000 m in high-speed running postinjury, but note the wide variance in these data.