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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Keene, David J. Moe-Nilssen, Rolf Lamb, Sarah E. |
| Description | Author Affiliation: Keene DJ ( Kadoorie Centre for Critical Care Research and Education, John Radcliffe Hospital, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 9DU, UK. Electronic address: david.keene@ndorms.ox.ac.uk.); Moe-Nilssen R ( Department of Public Health and Primary Health Care, Physiotherapy Science, University of Bergen, P.O. Box 7804, N-5020, Norway.); Lamb SE ( Kadoorie Centre for Critical Care Research and Education, John Radcliffe Hospital, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 9DU, UK) |
| Abstract | Differences in gait performance can be explained by variations in walking speed, which is a major analytical problem. Some investigators have standardised speed during testing, but this can result in an unnatural control of gait characteristics. Other investigators have developed test procedures where participants walking at their self-selected slow, preferred and fast speeds, with computation of gait characteristics at a standardised speed. However, this analysis is dependent upon an overlap in the ranges of gait speed observed within and between participants, and this is difficult to achieve under self-selected conditions. In this report a statistical analysis procedure is introduced that utilises multilevel modelling to analyse data from walking tests at self-selected speeds, without requiring an overlap in the range of speeds observed or the routine use of data transformations. |
| File Format | HTM / HTML |
| ISSN | 09666362 |
| Journal | Gait & Posture |
| Volume Number | 43 |
| e-ISSN | 18792219 |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2016-01-01 |
| Publisher Place | Great Britain (UK) |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Models, Theoretical Walking Research Support, Non-u.s. Gov't Discipline Orthopedics Gait Humans Female Male Physiology Journal Article |
| Content Type | Text |
| Resource Type | Article |
| Subject | Orthopedics and Sports Medicine Rehabilitation Biophysics Sports Science |
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