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Background: Forward head posture (FHP) is a common postural deviation in the sagittal plane. Despite the growing interest in FHP, research on gait biomechanics in individuals with FHP remains scarce. This study aimed to investigate gait biomechanics in FHP, with a gait performance-based craniovertebral angle (CVA) cut-off.
Methods: Forty-eight participants were included in the study, with CVA measurements used to assess head-and-neck posture. Three-dimensional kinematic and kinetic data were collected using a motion capture system during three walking trials at preferred speeds. Spatiotemporal gait parameters, joint angles, joint moments, joint powers, joint forces, center of mass (COM) trajectories, and COM-to-joint (knee and ankle) angles were analyzed. Time-series data were compared between the two groups using statistical parametric mapping to identify potential changes during the gait cycle.
Results: Forty-eight participants were divided into control ( = 26) and FHP ( = 22) groups based on a CVA cut-off of 44 degrees determined by K-means clustering. There were no significant differences in spatiotemporal gait parameters between the control and FHP groups. However, the FHP group exhibited significantly increased trunk flexion during the loading response and initial midstance (2.21–14.50%, = 0.047), as well as pre-swing and initial swing phases of the gait cycle (46.45–68.86%, = 0.039). The COM-to-knee angle was significantly reduced during mid-swing in the FHP group (71.26–87.92%, = 0.007). Additionally, significant differences in sagittal knee joint power and longitudinal joint forces at the knee and ankle were observed in the final stages of the gait cycle ( < 0.05). No significant differences were found in COM trajectories or other gait parameters.
Conclusion: This study identified phase-specific compensatory trunk flexion in individuals with FHP, despite preserved overall gait characteristics. A CVA cut-off of 44 degrees was proposed as a criterion for diagnosing FHP based on walking performance. These findings suggest that individuals with FHP employ specific biomechanical adaptations to maintain gait stability and underscore the importance of considering biomechanical adaptations in FHP diagnosis.
Supplementary Information: The online version contains supplementary material available at 10.1186/s12891-025-08882-8.
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http://dx.doi.org/10.1186/s12891-025-08882-8 | DOI Listing |
NEJM AI
September 2025
Department of Bioengineering, Stanford University, Stanford, CA.
Background: Assessing human movement is essential for diagnosing and monitoring movement-related conditions like neuromuscular disorders. Timed function tests (TFTs) are among the most widespread types of assessments due to their speed and simplicity, but they cannot capture disease-specific movement patterns. Conversely, biomechanical analysis can produce sensitive disease-specific biomarkers, but it is traditionally confined to laboratory settings.
View Article and Find Full Text PDFJ Neuroeng Rehabil
September 2025
Institute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, 72076, Tübingen, Germany.
Innovative technology allows for personalization of stimulation frequency in dual-site deep brain stimulation (DBS), offering promise for challenging symptoms in advanced Parkinson's disease (PD), particularly freezing of gait (FoG). Early results suggest that combining standard subthalamic nucleus (STN) stimulation with substantia nigra pars reticulata (SNr) stimulation may improve FoG outcomes. However, patient response and the optimal SNr stimulation frequency vary.
View Article and Find Full Text PDFGait Posture
September 2025
Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.
Background: While the plantar fat pad is known for its role in shock absorption and plantar force distribution during weight-bearing activities, its impact on running biomechanics is not well understood.
Research Question: Does plantar fat pad thickness affect lower limb biomechanics and plantar pressure distribution during running in healthy adults?
Methods: This cross-sectional observational study involved fourteen participants (18-50 years) who ran at their preferred speed on a 10-meter walkway while lower limb kinematics and ground reaction forces were recorded using a motion capture system. Plantar pressure and force on the right foot were measured using a pressure platform.
Med Eng Phys
October 2025
University of Missouri, Department of Physical Therapy, Columbia, MO, USA. Electronic address:
Measurable neuromotor control deficits during functional task performance could provide objective criteria to aid in concussion diagnosis. However, many tools which measure these constructs are unidimensional and not clinically feasible. The purpose of this study was to assess the classification accuracy of a machine learning model using features measured by a clinically feasible movement-based assessment system (Mizzou Point-of-care Assessment System (MPASS) between athletes with and without concussion.
View Article and Find Full Text PDFJ Orthop Res
September 2025
University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
The primary purpose of this study was to determine the preoperative predictors of gait biomechanics 6 months after unilateral total knee arthroplasty (TKA). There were 126 participants (age 64.4 ± 7.
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