Multisegmented foot models (MSFMs) are used to capture data of specific regions of the foot instead of representing the foot as a single, rigid segment. It has been documented that different MSFMs do not yield the same joint kinematic data, but there is little information available regarding their use for kinetic analysis. We compared the moment and power at the tibiotalar, midtarsal, and metatarsophalangeal joints of four MSFMs using motion capture data of young adult runners during stance phase of barefoot walking and jogging. Of these models, three were previously validated: the Oxford, Milwaukee, and Ghent Foot Models. One model was developed based upon literature review of existing models: the "Vogel" model. We performed statistical parametric mapping comparing joint measurements from each model to the corresponding results from the Oxford model, the most heavily studied MSFM. We found that the Oxford, Milwaukee, Vogel, and Ghent Foot Models do not provide the same kinetic results. The differences in segment definitions impact the degrees of freedom in a manner that alters the measured kinematic function of the foot, which in turn impacts the kinetic results. The results of this study capture the variability in performance of MSFMs as it relates to kinetic outcomes and emphasize a need to remain aware of model differences when interpreting results.
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http://dx.doi.org/10.1016/j.jbiomech.2024.112260 | DOI Listing |
EClinicalMedicine
January 2025
Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, LE5 4PW, UK.
Background: People with diabetes are at increased risk of hospitalisation, morbidity, and mortality following SARS-CoV-2 infection. Long-term outcomes for people with diabetes previously hospitalised with COVID-19 are, however, unknown. This study aimed to determine the longer-term physical and mental health effects of COVID-19 in people with and without diabetes.
View Article and Find Full Text PDFFront Bioeng Biotechnol
January 2025
Department of Physical Education, Tsinghua University, Beijing, China.
Purpose: Plantar soft tissue properties affect foot biomechanics during movement. This study aims to explore the relationship between plantar pressure features and soft tissue stiffness through interpretable neural network model. The findings could inform orthotic insole design.
View Article and Find Full Text PDFJ Athl Train
January 2025
Federal University of São Carlos, São Paulo, Brazil. Department of Physiotherapy.
Context: Tendon abnormalities on imaging are commonly observed in individuals with Achilles tendinopathy. Those abnormalities can also be present in asymptomatic individuals, which is an important risk factor for developing tendon symptoms. Ballet dancers are particularly vulnerable due to the high loads placed on their Achilles tendons.
View Article and Find Full Text PDFJ Biomech
January 2025
Department of Mechanical and Materials Engineering, Queen's University, Kingston, Canada. Electronic address:
Analysis of the power produced by the foot and ankle during locomotion can provide insights into their function. Foot power is often quantified by applying the unified deformable (UD) power model to the hindfoot while ankle power is quantified by performing three or six degree-of-freedom joint power calculations. These measurements are possible with optical motion capture.
View Article and Find Full Text PDFRheumatology (Oxford)
January 2025
Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet's Disease Clinic, University of Siena, Siena, Italy.
Objectives: To assess the lung involvement in patients with Still's disease, an inflammatory disease assessing both children and adults. To exploit possible associated factors for parenchymal lung involvement in these patients.
Methods: A multicentre observational study was arranged assessing consecutive patients with Still's disease characterized by the lung involvement among those included in the AIDA (AutoInflammatory Disease Alliance) Network Still's Disease Registry.
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