Aims: Gait dysfunction in subjects with diabetes mellitus (DM) contributes to falling and subsequent injuries. Using a portable device (GaitMeter™), we measured gait parameters in DM patients with and without diabetic peripheral neuropathy (DPN) during flat surface walking. We hypothesized that DM patients with DPN and neuropathic pain (NeP) would have greater gait step variability than those with DPN without NeP.
Methods: Subjects with DPN and at least moderate NeP (DPN-P), DPN without NeP (DPN-NoP), DM without DPN, and control subjects without DM were assessed. Our outcome measure was gait variability for step length and velocity. DPN severity was quantified using the Toronto Clinical Scoring System and the Utah Early Neuropathy Score. Falls and their outcomes were retrospectively quantified.
Results: Each cohort contained≥20 subjects. Durations of DM and HbA1C were greatest amongst DPN cohorts. DPN-P participants had greater variability of step length and step velocity, except for DM only participants. DPN-P participants also reported greater risk of hospitalizations for fall-related injuries, and greater fear of falling. Modest negative relationships emerged for step length with step velocity, reported falls and pain severity.
Conclusions: NeP contributes to gait variability, potentially contributing to the risk of falling in DM patients.
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http://dx.doi.org/10.1016/j.jdiacomp.2012.10.013 | DOI Listing |
Sci Rep
January 2025
Department of Medicine, Surgery and Dentistry, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, Fisciano, Italy.
Subtle gait and cognitive dysfunction are common in Parkinson's disease (PD), even before most evident clinical manifestations. Such alterations can be assumed as hypothetical phenotypical and prognostic/progression markers. To compare spatiotemporal gait parameters in PD patients with three cognitive status: cognitively intact (PD-noCI), with subjective cognitive impairment (PD-SCI) and with mild cognitive impairment (PD-MCI) in order to detect subclinical gait differences.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Introduction: We aimed to compare gait between individuals with Alzheimer's disease (AD), dementia with Lewy bodies (DLB), and cognitively unimpaired (CU) individuals and to evaluate the association between gait and regional amyloid beta (Aβ) burden in AD and DLB.
Methods: We included 420 participants (70 AD, 70 DLB, 280 CU) in the Mayo Clinic Study of Aging (MCSA). Gait was assessed using a pressure-sensor walkway.
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFNutrients
January 2025
Department of Cardiology & 65+ Geriatric Outpatient Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.
Sarcopenia, an age-related decline in skeletal muscle mass, strength, and function, is increasingly recognized as a significant condition in the aging population, particularly among those with cardiovascular diseases (CVD). This review provides a comprehensive synthesis of the interplay between sarcopenia and cardiogeriatrics, emphasizing shared mechanisms such as chronic low-grade inflammation (inflammaging), hormonal dysregulation, oxidative stress, and physical inactivity. Despite advancements in diagnostic frameworks, such as the EWGSOP2 and AWGS definitions, variability in criteria and assessment methods continues to challenge standardization.
View Article and Find Full Text PDFSensors (Basel)
January 2025
German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Instrumented gait analysis is widely used in clinical settings for the early detection of neurological disorders, monitoring disease progression, and evaluating fall risk. However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy.
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