Purpose: Understanding personal experiences of real-world walking for stroke survivors could assist clinicians to tailor interventions to their clients' specific needs. We explored the research questions: "What does real-world walking mean to people after stroke and how do they think it can be better?"
Method: Using an Interpretive Descriptive methodology, we purposively sampled eight stroke survivors who reported difficulty walking in the real-world. We sought diversity on key participant characteristics. Participants were interviewed using a semi-structured guide. Data were analysed with thematic analysis.
Results: Many found real-world walking, particularly in the outdoors, created opportunities for freedom from dependence and a visible step by step progress, which generated hope for future recovery. Conversely, when participants did not experience sufficient progress, they expressed negative emotions. Participants strove to overcome challenges to their walking goals using everyday routines, planning skills, and confidence building experiences to motivate themselves. They also drew on, and extended, social resources highlighting the relational aspects of real-world walking.
Conclusions: Walking in their real-world provided a meaningful, desirable, but challenging goal for participants that required significant emotional effort. Successful progress in real-world walking builds confidence and hope and can contribute to psychological wellbeing by providing opportunities for successful mastery and social connectedness.IMPLICATIONS FOR REHABILITATIONReal-world settings can be unpredictable which makes walking in the real-world after stroke demanding.Positive experiences of walking in the real-world can provide significant psychological benefits to stroke survivors.Many survivors need to carefully concentrate on the act of walking in outdoor settings.Pre-planning routes, confidence-building experiences and developing daily routines may help patients overcome these challenges.
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http://dx.doi.org/10.1080/09638288.2020.1767704 | DOI Listing |
PLoS One
January 2025
School of Foundation Courses, Chongqing Institute of Engineering, Chongqing, China.
Link prediction in heterogeneous networks is an active research topic in the field of complex network science. Recognizing the limitations of existing methods, which often overlook the varying contributions of different local structures within these networks, this study introduces a novel algorithm named SW-Metapath2vec. This algorithm enhances the embedding learning process by assigning weights to meta-path traces generated through random walks and translates the potential connections between nodes into the cosine similarity of embedded vectors.
View Article and Find Full Text PDFNPJ Parkinsons Dis
January 2025
Department of Neurology, Beau Soleil Clinic, Montpellier, France.
Data on gait parameters during real-life activities and home rehabilitation programs for Persons with Parkinson's disease (PwPDs) are scarce. Although cueing has been shown to improve their gait in laboratory conditions, few studies have applied this technique in at-home rehabilitation programs. Our study aimed to explore the use of a real-time synchronized beat-step music program for at-home rehabilitation.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Institute for Health and Sport, Victoria University, Melbourne, VIC 3000, Australia.
The continuous, automated monitoring of sensor-based data for walking capacity and mobility has expanded gait analysis applications beyond controlled laboratory settings to real-world, everyday environments facilitated by the development of portable, cost-efficient wearable sensors. In particular, the integration of Inertial Measurement Units (IMUs) into smart shoes has proven effective for capturing detailed foot movements and spatiotemporal gait characteristics. While IMUs enable accurate foot trajectory estimation through the double integration of acceleration data, challenges such as drift errors necessitate robust correction techniques to ensure reliable performance.
View Article and Find Full Text PDFBrain Sci
November 2024
Dementia Research Centre, Department of Neurodegeneration, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.
Objective: Visual processing deficits arising in dementia are associated with particular functional disability. This study aimed to investigate the effects of the built environment on mobility and navigation in people with dementia-related visual loss.
Methods: Participants with posterior cortical atrophy (PCA; "visual-variant Alzheimer's"; n = 11), typical Alzheimer's disease (tAD; N = 10), and controls (n = 13) repeatedly walked down routes within a simplified real-world setting.
Clin Rehabil
January 2025
Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
Objective: Current clinical practice guidelines support structured, progressive protocols for improving walking after stroke. Technology enables monitoring of exercise and therapy intensity, but safety concerns could also be addressed. This study explores functional mobility in post-stroke individuals using wearable technology to quantify movement smoothness-an indicator of safe mobility.
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