Abstract
Body weight support (BWS) training devices are frequently used to improve gait in individuals with neurological impairments, but guidance in selecting an appropriate level of BWS is limited. Here, we aim to describe the initial BWS levels used during gait training, the rationale for this selection and the clinical goals aligned with BWS training for different diagnoses.
Method
A systematic literature search was conducted in PubMed, Embase and Web of Science, including terms related to the population (individuals with neurological disorders), intervention (BWS training) and outcome (gait). Information on patient characteristics, type of BWS device, BWS level and training goals was extracted from the included articles.
Results
Thirty-three articles were included, which described outcomes using frame-based (stationary or mobile) and unidirectional ceiling-mounted devices on four diagnoses (multiple sclerosis (MS), spinal cord injury (SCI), stroke, traumatic brain injury (TBI)). The BWS levels were highest for individuals with MS (median: 75%, IQR: 6%), followed by SCI (median: 40%, IQR: 35%), stroke (median: 30%, IQR: 4.75%) and TBI (median: 15%, IQR: 0%). The included studies reported eleven different training goals. Reported BWS levels ranged between 30 and 75% for most of the training goals, without a clear relationship between BWS level, diagnosis, training goal and rationale for BWS selection. Training goals were achieved in all included studies.
Conclusion
Initial BWS levels differ considerably between studies included in this review. The underlying rationale for these differences was not clearly motivated in the included studies. Variation in study designs and populations does not allow to draw a conclusion on the effectiveness of BWS levels. Hence, it remains difficult to formulate guidelines on optimal BWS settings for different diagnoses, BWS devices and training goals. Further efforts are required to establish clinical guidelines and to experimentally investigate which initial BWS levels are optimal for specific diagnoses and training goals.
| Original language | English |
|---|---|
| Pages (from-to) | 1892-1905 |
| Number of pages | 14 |
| Journal | Nature Human Behaviour |
| Volume | 8 |
| Issue number | 10 |
| Early online date | 26 Aug 2024 |
| DOIs | |
| Publication status | Published - Oct 2024 |
Funding
We would like to thank the Junior Researcher Programme, the Global Behavioral Science (GLOBES) coordinators from Undergraduate Global Engagement at Columbia University and the Centre for Business Research in the Judge Business School as well as Corpus Christi College at the University of Cambridge. We also thank the Rationale Altruisten Mannheim e.V. and the University of Luxembourg. We would like to thank C. Akil and D. M\u0131sra G\u00FCrol for assistance in instrument adaptation, A. Heske and S. H\u00F6rberg for developing the filler task and for helping to implement the pilot study in Qualtrics, as well as A. van Stekelenburg and E. Maibach for useful feedback on an earlier draft of this manuscript. Computational resources were provided by the e-INFRA CZ project (ID:90140, F.B.), supported by the Ministry of Education, Youth and Sports of the Czech Republic. This project received funding from an internal small expenses budget from the Social Psychology Program, Department of Psychology, Faculty of Social and Behavioural Sciences, University of Amsterdam (B.R.); Columbia University\u2019s Office for Undergraduate Globe Education (K.R.); and the National Science Foundation, Directorate for Social, Behavioral and Economic Sciences (no. 2218595, K.R.). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.
| Funders | Funder number |
|---|---|
| National Science Foundation | |
| Columbia University’s Office for Undergraduate Globe Education | |
| Ministerstvo Školství, Mládeže a Tělovýchovy | |
| Universiteit van Amsterdam | |
| Directorate for Social, Behavioral and Economic Sciences | 2218595 |
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