Understanding the biomechanics of running has brought implications for the prevention of foot injuries. These biomechanical considerations, both functional and non-functional, must be evaluated by the sports medicine practitioner. Although functional biomechanical findings are more accurate predictors of injury and diagnostic tools than static findings, a correlation between the two is essential. Other important variables, e.g. training methods, athletic shoes, psychology, general health, external environment (surfaces, weather) and overuse, must be correlated with the biomechanical findings. The methodology and results of research are inconsistent with the direct predictability of various overuse injuries, based on biomechanical abnormalities and/or contributing factors. Until more research is carried out, clinical experience and the results of structured research investigations will provide the basis of treatment.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2165/00007256-198502020-00006 | DOI Listing |
J Funct Morphol Kinesiol
December 2024
Integrative Laboratory of Biomechanics and Physiology of Effort, (LIBFE), School of Kinesiology, Faculty of Medicine, Universidad de los Andes, Santiago 7620001, Chile.
Unlabelled: The purpose of this study was to assess the methodology for selecting sports talent in the Chilean Promising Athletes Program (CPAP).
Methods: The standing broad jump (SBJ), medicine ball chest throw (MBCT), thirty-meter running sprint (RS-30), Agility-T (T-test), and height were analyzed in 3060 schoolchildren from Chile, grouped by sex, age, geographical area (north, central and south) and maturity status at peak height velocity (PHV) in pre-, circa- and post-PHV.
Results: Superior differences were found in boys for all age ranges in SBJ, RS-30, T-test, and MBCT ( < 0.
Health Sci Rep
January 2025
Background And Aims: High contact stresses involving the hip have been shown to increase the risk of developing hip osteoarthritis (OA). Although several risk factors have been identified for OA, a holistic approach to predicting contributed factors toward increased hip contact stresses have not been explored. This study was conducted to comprehensively understand the effects of physical activity on high hip contact stress as predisposing factors of OA.
View Article and Find Full Text PDFGait Posture
January 2025
Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA; Department of Surgery and Research Service, Nebraska-Western Iowa Veterans Affairs Medical Center, Omaha, NE 68105, USA. Electronic address:
Background: This study leverages Artificial Neural Networks (ANNs) to predict lower limb joint moments and electromyography (EMG) signals from Ground Reaction Forces (GRF), providing a novel perspective on human gait analysis. This approach aims to enhance the accessibility and affordability of biomechanical assessments using GRF data, thus eliminating the need for costly motion capture systems.
Research Question: Can ANNs use GRF data to accurately predict joint moments in the lower limbs and EMG signals?
Methods: We employed ANNs to analyze GRF data and to use them to predict joint moments (363-trials; 4-datasets) and EMG signals (63-trials; 2-datasets).
Sports Biomech
January 2025
School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
Pelvic running injuries often require extensive rehabilitation and pelvic girdle pain is a barrier to running engagement in population sub-groups, such as perinatal women. However, exploration into how external pelvic loading may be altered during running is limited. This study assessed which biomechanical variables influence changes in external peak pelvic acceleration during treadmill running, across various stride frequency conditions.
View Article and Find Full Text PDFJ Biomech
January 2025
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region.
This study explored how systematic changes in running shoe degradation and foot inversion alter the distribution and peak value of heel pressure and calcaneus stress, as well as the total stress-concentration exposure (TSCE) within the calcaneal bone. A foot-shoe finite element model was employed and three shoe wear conditions (new shoe (CON), moderate worn shoe (MWSC), excessive worn shoe (EWSC)) coupled with three foot inversion angles (0°, 10°, 20°) were further modulated. Simulations were conducted at the impact peak instant during running.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!