ArticleMultiple sclerosis and related disorders2024
Backwards walking speed reserve in persons with multiple sclerosis.
Article in Multiple sclerosis and related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Steps to Health: Backward Walking Predicts Physical Activity Levels in Multiple Sclerosis.Neurorehabilitation and neural repair · 2026Article
- Backward Walking as a Marker of Mobility and Disability in Multiple Sclerosis: A Cross-Sectional Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting Real-World Physical Activity in Multiple Sclerosis: An Integrated Approach Using Clinical, Sensor-Based, and Self-Reported Measures.Sensors (Basel, Switzerland) · 2025Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDecreased gait speed is common in persons with Multiple Sclerosis (PwMS) and has been associated with elevated fall risk. The walking speed reserve (WSR) indicates the ability to increase gait speed on demand and has previously been examined in PwMS. Backward walking is a sensitive measure of fall risk in PwMS; however, no studies have reported on the utility of backward walking speed reserve (BW-WSR) as a clinical assessment tool of functional mobility or fall risk in PwMS, nor have they associated this measure with cognition.
methods23 PwMS completed walking trials at their preferred walking speed (PWS) and maximal walking speed (MWS). Participants performed these walking trials in both the forward (FW) and backward direction (BW). The forward walking speed reserve (FW-WSR) was calculated as the difference between MWS and PWS in the forward direction, while the backward walking speed reserve (BW-WSR) was calculated as the difference between MWS and PWS in the back backward direction. Correlation analyses examined the relationship between the FW- and BW-WSR with clinical assessments of functional mobility (the timed up-and-go) as well as cognitive functioning (the Symbol Digit Modalities Test, the Brief Visuospatial Memory Test-Revised, the California Verbal Learning Test, and the Trail Making Test A and B). Correlations also examined the relationship between FW- and BW-WSR with prospective falls.
resultsA lower BW-WSR was associated with disease severity and poorer performance on clinical walking and balance assessment, as well as with decreased information processing speed and attentional performance. Interestingly, FW-WSR showed similar relations. Neither FW- or BW-WSR were associated with prospective risk in this small sample of PwMS.
conclusionThe BW-WSR did not offer a distinct advantage over other measures, such as the FW-WSR, PWS, or MWS, in the forward or backward direction. The selection of the most sensitive clinical measures of functional mobility and fall risk is crucial; our study holds valuable clinical implications for PwMS by providing novel insights into functional mobility assessments in PwMS.
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