Background: Gait speed has been found to be associated with cognitive function. However, gait speed is an unspecific measure that may not be informative about gait patterns. The Walk ratio (step length divided by step frequency) can be measured without specialized equipment, and has been suggested as an indicator of central gait control. However, the association with cognitive function is unknown.
Research Question: Is there a relationship between Walk ratio and cognitive function, and gait speed and cognitive function?
Methods: This was a systematic literature review of studies where spatiotemporal gait parameters was reported in populations with cognitive impairment. The search was performed through PubMed, PEDro, AMED, Cochrane, Embase, MEDLINE, and PsycINFO. The studies had to contain either the Walk ratio, or report average step length and average step frequency. In the latter case, the average step length was divided by the average step frequency. The studies also had to report gait speed and the minimal mental state examination (MMSE). Studies testing patients on treadmills or that did not state the exclusion of patients with neurologic or orthopedic diseases, possible affecting gait ability, were excluded.
Results: A total of 24 studies were included, consisting of 909 patients with cognitive impairment and 4,108 healthy controls. The patient group had a lower Walk ratio (mean difference 0.07, ≤ 0.001) and gait speed (mean difference 0.26, ≤ 0.001) than the healthy controls. Using linear regression models, we found an association between the MMSE and the Walk ratio ( = 0.29, < 0.001) and gait speed ( = 0.41, < 0.001) in separate, unadjusted models. In a final model with Walk ratio, gait speed and age, Walk ratio was not significantly associated with MMSE, while gait speed was.
Significance: Our results suggest that preferred gait speed may be preferable to the Walk ratio when assessing older adults with cognitive impairment.
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http://dx.doi.org/10.3389/fnagi.2023.1092990 | DOI Listing |
PLoS One
January 2025
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China.
The "food desert" problem has been treated under a national strategy in the United States and other countries. At present, there is little research on the phenomenon of "food desert" in China. This study takes Shanghai as the research area and proposes a multiscale analysis method using a linear tessellation model that splits the street network into homogeneous linear units.
View Article and Find Full Text PDFFront Bioeng Biotechnol
January 2025
Department of Orthopaedics, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical Universit, Guangzhou, China.
Objective: The aim of this study is to assess the kinematic changes in the knee joint during walking in patients with isolated PCL-deficiency (PCLD) to determine the presence of walking-related joint instability (mechanical instability-abnormal displacement form structural damage). Additionally, the study seeks to provide biomechanical insights into the observed differences between subjective and objective assessments.
Methods: 35 healthy volunteers and 27 patients with isolated PCLD (both involved and uninvolved sides) were included in the study.
Front Sports Act Living
January 2025
Department of Physical Therapy, University of Nevada, Las Vegas, Las Vegas, NV, United States.
Introduction: In individuals with chronic post-stroke hemiparesis, slow walking speed is a significant concern related to inadequate propulsion of the paretic limb. However, an overlooked factor is this population's altered morphology of the Achilles tendon, which may compromise the propulsive forces by the paretic limb. This study aimed to explore changes in Achilles tendon morphology, including gross thickness and intra-tendinous collagen fiber bundle organization, following stroke-induced brain lesions.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background: There are currently no deep learning models applying resting-state functional magnetic resonance imaging (rs-fMRI) data to distinguish patients with Parkinson's disease (PD) and healthy controls (HCs). Moreover, no study has correlated objective gait parameters with brain network alterations in patients with PD. We propose BrainNetCNN + CL, applying a convolutional neural network (CNN) and joint contrastive learning (CL) method to brain network analysis to classify patients with PD and HCs, and compare their performance with classical classification methods.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Ultrasonic Diagnosis, The First Hospital of China Medical University, Shenyang, China.
Background: Patients with essential hypertension have a high risk of muscle mass and strength decline. Ultrasound is a promising method for assessing sarcopenia. This study aimed to analyze the correlation between ultrasound and shear-wave elastography (SWE) features, and muscle mass, muscle strength, and physical performance, and to assess the clinical applicability of ultrasound in the diagnosis of sarcopenia in patients with essential hypertension.
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