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In the editorial, Rasmus Nielsen, Michael Bertelsen, Adam Hulme and Erik Parner, with colleagues, discusses sport injury causality and how to align data analyses with causal frameworks.
2017.07.25 |
An across-country team of authors drafted the editorial “Training load and structure-specific load: applications for sport injury causality and data analyses”, which surfaced July 24th in British Journal of Sports Medicine. This work is the next iteration in a series of outstanding papers on sports injury causality from Tim Gabbett and others.
In the Editorial, a causal diagram is presented visualizing how training load (eg. steps taken during running) and other variables (eg. body weight, previous injury and alignment) produce sports-related injuries. Next, we introduce directions regarding analyses of sports injury data. This has massive importance for future analyses within sports injury etiology.
We are blown away by the massive Twitter-attention the Editorial has received within the first 24 hours since publication. We hope researchers, clinicians and athletes grasp the importance of, and the conceptual differences between, training-load, structure-specific load and load capacity, in injury research. From there, we hope injury researchers will adapt their analytical approach using training load as primary exposure in future studies, whereas magnitude-related, distribution-related and capacity-related variables are viewed as effect-measure modifiers.
You may access the Editorial in BJSM by clicking here
Reference:
Nielsen, R.O.; Bertelsen, M.; Møller, M.; Hulme, A.; Windt, J.; Verhagen, E.; Mansournia, M.A; Casals, M.; Parner, E.T.; Training load and structure-specific load: Applications for sport injury causality and data analyses. Br J Sports Med, 2017, dx.doi.org/10.1136/bjsports-2017-097838