New Study Highlights the Role of Biomechanics in Footwear Performance

A new study published in the Journal of Applied Biomechanics introduces a theoretical framework for optimising running economy through individualised footwear selection. SPRING researchers Mark Connick and Glen Lichtwark explore how advanced footwear technologies influence running economy and emphasise the need for a personalised approach to footwear selection.

Modern running shoes feature innovations such as thicker, lightweight, and more resilient midsoles, which have been linked to improved running economy. However, this benefit varies among individuals, demonstrating the crucial role that biomechanics play in determining the overall effectiveness of footwear. Connick and Lichtwark propose that changes in running economy occur through the integrated action of two primary pathways: (1) a direct effect of footwear properties on the spring-mass characteristics of the system, such as increased or decreased energy return, and (2) a biomechanically mediated effect, where footwear influences the spring-mass system via ankle and foot biomechanics.

The framework introduced in the study describes how these distinct effects may be quantified, enabling researchers to develop footwear materials that can specifically target both direct and individual effects. This could pave the way for highly customised running shoes designed to enhance running economy based on an individual’s unique biomechanics.

This research marks a significant step toward bridging the gap between running biomechanics and footwear technology, potentially leading to breakthroughs in sports science and athletic performance. The findings highlight the importance of considering personal biomechanical responses when selecting running footwear, offering valuable insights for athletes, coaches, and footwear designers alike.

For those interested in performance optimisation, this study underscores the need to move beyond a one-size-fits-all approach and toward individualised solutions that maximize running economy.