This exercise picks up mechanical differences in footballers with hip pain

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Image by Alexander Fox | PlaNet Fox from Pixabay
Image by Alexander Fox | PlaNet Fox from Pixabay

A simple exercise called the "step-down-and-pivot", in which the player steps down from a step and pivots on one leg before stepping, could be useful in detecting mechanical differences in athletes with hip or groin pain that might lead to arthritis. Hip and groin pain is common in young, well-trained athletes, and it can rapidly progress to early-onset osteoarthritis. But well-trained athletes are often tolerant of pain and discomfort, making the detection of early onset arthritis difficult. The researchers used this simple exercise to identify and characterise small differences in the movement of athletes with and without hip/groin pain, which may help them better understand who is at risk of developing osteoarthritis

Media release

From: The Royal Society

Biomechanical features of a novel step-down-and-pivot task in football players with and without hip/groin pain

Hip and/or groin pain is common in young well-trained athletes. Without prompt intervention, it can rapidly progress to serious conditions like early-onset osteoarthritis. A principal challenge is the detection of pathological changes early in its natural history, as well-trained athletes are often tolerant of pain and discomfort. Using biomechanical modelling and statistical learning methods, we identified and characterised small differences between athletes with and without hip/groin pain during a simple but novel movement task designed to provoke the hip: the step-down-and-pivot. We found several salient features of step-down-and-pivot biomechanics with hip/groin pain that may inform clinical assessment and support intervention

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Research The Royal Society, Web page Please link to the article in online versions of your report (the URL will go live after the embargo ends).
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conference:
Royal Society Open Science
Research:Paper
Organisation/s: La Trobe University, The University of Melbourne, The University of Queensland, ARC Industrial Transformation Training Centre in Optimisation Technologies, Integrated, Methodologies, and Applications (OPTIMA)
Funder: Funding for this project was provided by the National Health and Medical Research Council of Australia (NHMRC) project grant GNT1088683 and the Australian Research Council Industrial Transformation Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA) project ID IC200100009. P.S. was supported by a Fulbright Future Scholarship (funded by The Kinghorn Foundation) awarded by the Australian-American Fulbright Commission. J.L.K. is supported by a NHMRC Investigator Grant GNT2017844.
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