CUB Models

Shoe cushioning, body mass and running biomechanics as risk factors for running injury: A randomised trial with 800+ recreational runners


The objective of the event is to present a large randomised trial on the relationship between shoecushioning, running biomechanics and the risk of running-related injury to researchers interested ininjury aetiology, injury prediction and data sciences. The second part of the webinar will specificallyfocus on the challenges and opportunities resulting from the large dataset collected in this project, aswell as on recommendations for future research in injury prevention.


  1. Introduction: Running-related injury research[1] Daniel Theisen (ALAN)

  2. The study design, data collection and descriptive data[2] Laurent Malisoux (LIH)

  3. Recently published results

a. Effect of shoe cushioning and body mass on injury risk[3]

b. Effect of cushioning on running biomechanics[4]

  1. Let’s move to prediction

a. Predicting cumulative load using a wearable device[5] Anne Backes (LIH)

b. Predicting running-related injury using machine learning – Hans van Eetvelde (UGent)


[1]Theisen D, Nielsen R, Malisoux L. The relationship between running shoes and running injuries: Choosing between a complicated truth and a simple lie. In: Ley C, Dominicy Y, editors. Science meets sports: When statistics are more than numbers. 1 ed: Cambridge Scholars Publishing; 2020. p. 123-146.[2]Malisoux L, Delattre N, Urhausen A, Theisen D. Shoe cushioning, body mass and running biomechanics as risk factors for running injury: a study protocol for a randomised controlled trial. BMJ Open 2017; 7(8):e017379.[3]Malisoux L, Delattre N, Urhausen A, Theisen D. Shoe Cushioning Influences the Running Injury Risk According to Body Mass: A Randomized Controlled Trial Involving 848 Recreational Runners. Am J Sports Med2020; 48(2):473-480.[4]Malisoux L, Delattre N, Meyer C, Gette P, Urhausen A, Theisen D. Effect of shoe cushioning on landing impact forces and spatiotemporal parameters during running: results from a randomized trial including 800+ recreational runners. Eur J Sport Sci 2020;10.1080/17461391.2020.1809713:1-9.[5]Backes A, Skejø SD, Gette P, Nielsen RØ, Sørensen H, Morio C, et al. Predicting cumulative load during running using field based measures. ‐Scandinavian Journal of Medicine & Science in Sports2020;10.1111/sms.13796.
Video_22_01_2021.mp4