Comparison of programs for determining temporal-spatial gait variables from instrumented walkway data: PKmas versus GAITRite
Open Access
- 18 August 2014
- journal article
- research article
- Published by Springer Nature in BMC Research Notes
- Vol. 7 (1) , 1-7
Abstract
Measurement of temporal-spatial gait variables is common in aging research with several methods available. This study investigated the differences in temporal-spatial gait outcomes derived from two different programs for processing instrumented walkway data. Data were collected with GAITRite® hardware from 86 healthy older people and 44 older people four months following surgical repair of hip fracture. Temporal-spatial variables were derived using both GAITRite® and PKmas® processing programs from the same raw footfall data. The mean differences between the two programs for most variables were negligible, including for Speed (mean difference 0.3 ± 0.6 cm/sec, or 0.3% of the mean GAITRite® Speed). The mean absolute percentage difference for all 18 gait variables examined ranged from 0.04% for Stride Duration to 66% for Foot Angle. The ICCs were almost perfect (≥0.99) for all variables apart from Base Width, Foot Angle, Stride Length Variability, Step Length Variability, Step Duration Variability and Step Width Variability, which were all never-the-less above 0.84. There were systematic differences for Base Width (PKmas® values 1.6 cm lower than GAITRite®) and Foot Angle (PKMAS® values 0.7° higher than GAITRite®). The differences can be explained by the differences in definitions and calculations between the programs. The study demonstrated that for most variables the outcomes from both programs can be used interchangeably for evaluation of gait among older people collected with GAITRite® hardware. However, validity and reliability for Base Width and Foot Angle derived by PKMAS® would benefit from further investigation.Keywords
This publication has 24 references indexed in Scilit:
- Statistical notes for clinical researchers: Evaluation of measurement error 1: using intraclass correlation coefficientsRestorative Dentistry & Endodontics, 2013
- Comparison of gait in progressive supranuclear palsy, Parkinson’s disease and healthy older adultsBMC Neurology, 2012
- Effect of in-hospital comprehensive geriatric assessment (CGA) in older people with hip fracture. The protocol of the Trondheim Hip Fracture TrialBMC Geriatrics, 2011
- Gait Speed and Survival in Older AdultsJAMA, 2011
- Improvement of gait in a stroke patient. A 7-year longitudinal studyDisability and Rehabilitation, 2010
- Orthotic fitting improves gait in a patient with generalized secondary dystoniaJournal of Rehabilitation Medicine, 2009
- A population-based study of sensorimotor factors affecting gait in older peopleAge and Ageing, 2008
- Improvement in Usual Gait Speed Predicts Better Survival in Older AdultsJournal of the American Geriatrics Society, 2007
- Prognostic Value of Usual Gait Speed in Well‐Functioning Older People—Results from the Health, Aging and Body Composition StudyJournal of the American Geriatrics Society, 2005
- STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENTThe Lancet, 1986