Purpose: An age-related decline in anticipatory postural mechanisms has been reported during gait initiation; however, it is unclear whether such decline may jeopardize whole-body stability following unexpected balance perturbations. This study aimed to compare young and older individuals' ability to generate postural responses and preserve stability in response to external waist perturbations delivered within gait initiation.
Methods: Ten young and ten older participants performed 10 gait initiation trials followed by 48 unperturbed and 12 perturbed trials in a random order. A stereophotogrammetric system and three force platforms were used to quantify mechanical parameters from the preparatory phase (e.g., timing and amplitude of postural adjustments) and from the stepping phase (e.g., step characteristics and dynamic stability). Activation patterns of lower leg muscles were determined by surface electromyography.
Results: Older participants responded to perturbation with lower increase in both magnitude (p < 0.001; η = 0.62) and duration (p = 0.001; η = 0.39) of preparatory parameters and soleus muscle activity (p < 0.001; η = 0.55), causing shorter (p < 0.001; η = 0.59) and lower (p < 0.001; η = 0.43) stepping, compared to young participants. Interestingly, young participants showed greater correlations between preparatory phase parameters and dynamic stability of the first step than older participants (average r of - 0.40 and - 0.06, respectively).
Conclusion: The results suggest that young participants took more time than older to adjust the anticipatory biomechanical response to perturbation attempting to preserve balance during stepping. In contrast, older adults were unable to modify their anticipatory adjustments in response to perturbation and mainly relied on compensatory mechanisms attempting to preserve stability via a more cautious stepping strategy.
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http://dx.doi.org/10.1007/s00421-020-04531-1 | DOI Listing |
Scand J Med Sci Sports
January 2025
Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, New South Wales, Australia.
Measuring lower extremity impact acceleration is a common strategy to identify runners with increased injury risk. However, existing axial peak tibial acceleration (PTA) thresholds for determining high-impact runners typically rely on small samples or fixed running speeds. This study aimed to describe the distribution of axial PTA among runners at their preferred running speed, determine an appropriate adjustment for investigating impact magnitude at different speeds, and compare biomechanics between runners classified by impact magnitude.
View Article and Find Full Text PDFJpn J Compr Rehabil Sci
December 2024
Department of Rehabilitation Medicine, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Unlabelled: Yamaguchi A, Kanazawa Y, Hirano S, Aoyagi Y. A Case with Left Hemiplegia after Cerebral Infarction with Improved Walking Ability Through Robot-assisted Gait Training Combined with Neuromuscular Electrical Stimulation for Foot Drop. Jpn J Compr Rehabil Sci 2024; 15: 88-93.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Neurology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objectives: Freezing of Gait (FOG) is one of the disabling symptoms in patients with Parkinson's Disease (PD). While it is difficult to early detect because of the sporadic occurrence of initial freezing events. Whether the characteristic of gait impairments in PD patients with FOG during the 'interictal' period is different from that in non-FOG patients is still unclear.
View Article and Find Full Text PDFAnn Biomed Eng
January 2025
Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, CCIT216, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Purpose: Simulation studies, such as finite element (FE) modeling, offer insights into knee joint biomechanics, which may not be achieved through experimental methods without direct involvement of patients. While generic FE models have been used to predict tissue biomechanics, they overlook variations in population-specific geometry, loading, and material properties. In contrast, subject-specific models account for these factors, delivering enhanced predictive precision but requiring significant effort and time for development.
View Article and Find Full Text PDFJ Orthop Sci
January 2025
Department of Orthopaedic Surgery, Wakayama Medical University, 811-1 Kimiidera, Wakayama City, Wakayama, 641-8509, Japan.
Background: A walking support orthosis known as the e-foot®, a rubber orthotic worn from the hip to the forefoot to enhance joint flexibility and movement, has been developed to assist elderly people and individuals with walking impairments. Despite its widespread acceptance and positive reception in some care settings, the precise impact of this device on gait dynamics remains unexplored. This study aims to bridge this gap by comparing the walking speeds of healthy volunteers using the e-foot® against their normal walking speeds.
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