ArticleMultiple sclerosis and related disorders2018
Distinguishing among multiple sclerosis fallers, near-fallers and non-fallers.
Article in Multiple sclerosis and related disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review.BMC medical informatics and decision making · 2022Pooled it
- Performance of retrospectively and prospectively-reported falls data in predicting future falls: results from the Falls in Glaucoma Study.BMC geriatrics · 2026Article
- Backward Walking as a Marker of Mobility and Disability in Multiple Sclerosis: A Cross-Sectional Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Linking Pathogenesis to Fall Risk in Multiple Sclerosis.Archives of internal medicine research · 2025Article
- Prevalence and Associated Factors of Falls in Persons with Multiple Sclerosis: A Cross-Sectional Study.La Tunisie medicale · 2024Article
- Article
- Association between the Hopkins Falls grading scale and motor function tests in patients with multiple sclerosis.Journal of family medicine and primary care · 2024Article
- Fall Assessment and Monitoring in People With Multiple Sclerosis: A Practical Evidence-Based Review for Clinicians.Neurology. Clinical practice · 2023Article
- The causal relationship between autoimmune diseases and osteoporosis: a study based on Mendelian randomization.Frontiers in endocrinology · 2023Article
- Cognitive Contributors of Backward Walking in Persons with Multiple Sclerosis.Multiple sclerosis international · 2023Article
- Identifying falls remotely in people with multiple sclerosis.Journal of neurology · 2022Article
- A survey for characterizing details of fall events experienced by lower limb prosthesis users.PloS one · 2022Article
- A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis.Sensors (Basel, Switzerland) · 2021Article
- The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis.Scientific reports · 2021Article
- Combining Magnetization Transfer Ratio MRI and Quantitative Measures of Walking Improves the Identification of Fallers in MS.Brain sciences · 2020Article
- Detection of subtle gait disturbance and future fall risk in early multiple sclerosis.Neurology · 2020Article
- Spotlight on postural control in patients with multiple sclerosis.Degenerative neurological and neuromuscular disease · 2018Review
- Validated, Quantitative, Machine Learning-Generated Neurologic Assessment of Multiple Sclerosis Using a Mobile Application.International journal of MS careArticle
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6 authors.
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Abstract
backgroundFall rates among adults with multiple sclerosis are consistently greater than 50%, but near-falls (i.e. a trip or stumble) are often undocumented. Furthermore, little is known about the circumstances surrounding fall and near-fall events. The purpose of this study was to examine the similarities and differences among non-fallers, near-fallers and fallers with multiple sclerosis, including the circumstances that surround falls and near-falls.
methodsIn a single visit, 135 multiple sclerosis participants completed the Hopkins Falls Grading Scale, a custom questionnaire investigating circumstances surrounding falls and near-falls, and performed the Timed Up and Go and Timed 25-Foot Walk tests. Mann-Whitney tests were used to examine differences between fallers, near-fallers and non-fallers. Multiple logistic regression with AIC criterion was used to examine associations of circumstances with the odds of falling vs. near-falling. Cumulative odds ordinal logistic regression was used to analyze the association between each of the walking tests and the susceptibility of the individual for falls or near-falls.
results30% of individuals reported falls, while 44% reported near-falls over a 1-year period. Non-fallers completed the walking tests more quickly than near-fallers (p < 0.0045), and fallers (p < 0.0001); near-fallers and fallers demonstrated similar motor profiles. Individuals were more likely to sustain a fall rather than a near-fall under the following circumstances: transferring outside the home (p = 0.015) and tripping over an obstacle (p = 0.025). Performing 1-second slower on the walking tests increased the odds of a history of a fall by 6-20%.
conclusionNear-falls occur commonly in individuals with MS; near-fallers and fallers reported similar circumstances surrounding fall events and demonstrated similar performance on standard timed walking tests. Clinicians monitoring individuals with MS should consider evaluation of the circumstances surrounding falls in combination with quantitative walking measures to improve determination of fall risk and appropriate rehabilitation interventions.
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