Abstract
Patellar and Achilles tendinopathy commonly affect runners. Developing algorithms to predict cumulative force in these structures may help prevent these injuries. Importantly, such algorithms should be fueled with data that are easily accessible while completing a running session outside a biomechanical laboratory. Therefore, the main objective of this study was to investigate whether algorithms can be developed for predicting patellar and Achilles tendon force and impulse during running using measures that can be easily collected by runners using commercially available devices. A secondary objective was to evaluate the predictive performance of the algorithms against the commonly used running distance. Trials of 24 recreational runners were collected with an Xsens suit and a Garmin Forerunner 735XT at three different intended running speeds. Data were analyzed using a mixed-effects multiple regression model, which was used to model the association between the estimated forces in anatomical structures and the training load variables during the fixed running speeds. This provides twelve algorithms for predicting patellar or Achilles tendon peak force and impulse per stride. The algorithms developed in the current study were always superior to the running distance algorithm.
Highlights
Published: 8 November 2021Exercise should be taken seriously since it is believed to have profound health benefits [1]
Speed and body height were selected in both algorithms for peak Achilles tendon force The purpose of this study was to explore the predictive performance of algorithms with the same signs and similar coefficients
For both the patellar tendon and Achilles tendon, the prediction error and proportion of prediction error were greatest for the distance algorithm and smallest for the best fitting selected in the best-fitted algorithms both for the peak Achilles tendon force and impulse
Summary
Published: 8 November 2021Exercise should be taken seriously since it is believed to have profound health benefits [1]. One type of exercise activity is running, which, on a global scale, has gained popularity in the past decades. In contrast to its benefits, running can lead to injuries in the musculoskeletal system [3]. Patellar and Achilles tendinopathy account for more than 10% of all runningrelated injuries [4]. These conditions and running-related injury, in general, are major obstacles to exercise activity [5], so prevention of patellar and Achilles tendon injuries are important. Cumulative tendon load is considered a superior metric for the prediction of injury compared to running distance [9], which has been widely used in the previous literature [10].
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