ArticleClinical biomechanics (Bristol, Avon)2020
Trunk and foot acceleration variability during walking relates to fall history and clinical disability in persons with multiple sclerosis.
Article in Clinical biomechanics (Bristol, Avon), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Multiple Sclerosis Classification Using the Local Divergence Exponent: Parameters Selection for State-Space Reconstruction.Sensors (Basel, Switzerland) · 2025Article
- Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.Journal of medical Internet research · 2023Article
- Impact of Multiple Sclerosis on Foot Health and Quality of Life: A Prospective Case-Control Investigation.International journal of public health · 2023Article
- Adding mechanical vibration to a half squat with different ballasts and rhythms increases movement variability.PloS one · 2023Article
- Decision making influences movement variability and performance of high-level female football players in an elastic resistance task.Frontiers in psychology · 2023Article
- Changes in trunk and head acceleration during the 6-minute walk test and its relation to falls risk for adults with multiple sclerosis.Experimental brain research · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundPersons with multiple sclerosis are often at higher risk for falling, but clinical disability scales and fall risk questionnaires are subjective and don't provide specific feedback about why an individual is unstable. The purpose of this study was to determine how relationships between trunk and foot acceleration variability relate to physiological impairments, clinical disability scales, and mobility questionnaires in persons with multiple sclerosis.
methods15 fallers and 25 non-fallers with multiple sclerosis walked on a treadmill at normal walking speed while trunk and foot accelerations were recorded with wireless accelerometers and variability measures were extracted and used to calculate the gait stability index metrics as a ratio of trunk acceleration variability divided foot acceleration variability. Subjects' sensorimotor delays and lower extremity vibration sensitivity were tested. Subjects also completed clinical disability scales (Guy's Neurological Disability Scale and Patient Reported Expanded Disability Status Scale) and mobility questionnaires (Falls Efficacy Scale, Activities Balance Confidence Scale, 12 Item Multiple Sclerosis Walk Scale).
findingsMultiple gait stability index metrics were significantly correlated with clinical measures of disability and mobility in multiple sclerosis subjects (r = 0.354-0.528), but no correlations were found for sensorimotor delays or lower extremity sensation. Multiple gait stability indices performed at least as well as clinical questionnaires for separating fallers from non-fallers.
interpretationThe gait stability indices can potentially be used outside of a laboratory setting to measure walking characteristics related to fall history and disability level in people with multiple sclerosis.
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Registered trials
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