Effects of Running in Minimal and Conventional Footwear on Medial Tibiofemoral Cartilage Failure Probability in Habitual and Non-Habitual Users

Sinclair, Jonathan Kenneth; Huang, Guohao; Taylor, Paul J.; Chockalingam, Nachiappan; Fan, Yifang

doi:10.3390/jcm11247335

Cited by 4 publications

(1 citation statement)

References 63 publications

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“…A strike index of 0-33% denotes a rearfoot, 34-67% a midfoot and 68-100% a forefoot strike pattern. The step length (m) was determined as the linear anterior distance in the foot centre of the mass location at the footstrike between the initial and subsequent ipsilateral footfalls [34].…”

Section: Running Biomechanicsmentioning

confidence: 99%

Effects of Running in Minimal, Maximal and Conventional Footwear on Tibial Stress Fracture Probability: An Examination Using Finite Element and Probabilistic Analyses

Sinclair,

Taylor

2023

Computation

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This study examined the effects of minimal, maximal and conventional running footwear on tibial strains and stress fracture probability using finite element and probabilistic analyses. The current investigation examined fifteen males running in three footwear conditions (minimal, maximal and conventional). Kinematic data were collected during overground running at 4.0 m/s using an eight-camera motion-capture system and ground reaction forces using a force plate. Tibial strains were quantified using finite element modelling and stress fracture probability calculated via probabilistic modelling over 100 days of running. Ninetieth percentile tibial strains were significantly greater in minimal (4681.13 με) (p < 0.001) and conventional (4498.84 με) (p = 0.007) footwear compared to maximal (4069.65 με). Furthermore, tibial stress fracture probability was significantly greater in minimal footwear (0.22) (p = 0.047) compared to maximal (0.15). The observations from this investigation show that compared to minimal footwear, maximal running shoes appear to be effective in attenuating runners’ likelihood of developing a tibial stress fracture.

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Section: Running Biomechanicsmentioning

confidence: 99%

Effects of Running in Minimal, Maximal and Conventional Footwear on Tibial Stress Fracture Probability: An Examination Using Finite Element and Probabilistic Analyses

Sinclair,

Taylor

2023

Computation

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Effects of high heels on medial tibiofemoral cartilage mechanics: an exploration using musculoskeletal simulation and a probabilistic cartilage failure model

et al. 2023

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Predicting Musculoskeletal Loading at Common Running Injury Locations Using Machine Learning and Instrumented Insoles

VAN HOOREN,

VAN RENGS,

MEIJER

2024

Medicine &Amp; Science in Sports &Amp; Exercise

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Introduction Wearables have the potential to provide accurate estimates of tissue loads at common running injury locations. Here we investigate the accuracy by which commercially available instrumented insoles (ARION) can predict musculoskeletal loading at common running injury locations. Methods 19 runners (10 males) ran at five different speeds, four slopes, with different step frequencies, and forward trunk lean on an instrumented treadmill, while wearing instrumented insoles. The insole data was used as input to an artificial neural network that was trained to predict the Achilles tendon strain, and tibia and patellofemoral stress impulses and weighted impulses (damage proxy) determined with musculoskeletal modelling. Accuracy was investigated using leave-one-out cross-validation and correlations. The effect of different input metrics was also assessed. Results The neural network predicted tissue loading with overall relative percentage errors of 1.95 ± 8.40, -7.37 ± 6.41, and -12.8 ± 9.44% for the patellofemoral joint, tibia and Achilles tendon impulse, respectively. The accuracy significantly changed with altered running speed, slope, or step frequency. Mean (95% confidence interval) within-individual correlations between modelled and predicted impulses across conditions were generally nearly perfect, being 0.92 (0.89 to 0.94); 0.95 (0.93 to 0.96); and 0.95 (0.94 to 0.96) for the patellofemoral, tibial, and Achilles tendon stress/strain impulses, respectively. Conclusions This study shows that commercially available instrumented insoles can predict loading at common running injury locations with variable absolute, but (very) high relative accuracy. The absolute error was lower than methods that measure step-count only, or assume a constant load per speed or slope. This developed model may allow for quantification of in-field tissue loading and real-time tissue loading-based feedback to reduce injury risk.

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Effects of Running in Minimal and Conventional Footwear on Medial Tibiofemoral Cartilage Failure Probability in Habitual and Non-Habitual Users

Cited by 4 publications

References 63 publications

Effects of Running in Minimal, Maximal and Conventional Footwear on Tibial Stress Fracture Probability: An Examination Using Finite Element and Probabilistic Analyses

Effects of Running in Minimal, Maximal and Conventional Footwear on Tibial Stress Fracture Probability: An Examination Using Finite Element and Probabilistic Analyses

Effects of high heels on medial tibiofemoral cartilage mechanics: an exploration using musculoskeletal simulation and a probabilistic cartilage failure model

Predicting Musculoskeletal Loading at Common Running Injury Locations Using Machine Learning and Instrumented Insoles

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