Brice T Cleland1, Arianna Perez-Ortiz1, Sangeetha Madhavan2. 1. Brain Plasticity Lab, Department of Physical Therapy, College of Applied Health Sciences University of Illinois at Chicago, Chicago, IL, USA. 2. Brain Plasticity Lab, Department of Physical Therapy, College of Applied Health Sciences University of Illinois at Chicago, Chicago, IL, USA. Electronic address: smadhava@uic.edu.
Abstract
BACKGROUND: Walking speed measurements are clinically important, but varying test procedures may influence measurements and impair clinical utility. This study assessed the concurrent validity of walking speed in individuals with chronic stroke measured during the 10-m walk test with variations in 1) the presence of an electronic mat, 2) the speed measurement device, and 3) the measurement distance relative to the total test distance. METHODS: Twenty-five individuals with chronic stroke performed walking tests at comfortable and maximal walking speeds under three conditions: 1) 10-m walk test (without electronic mat) measured by stopwatch, 2) 10-m walk test (partially over an electronic mat) measured by software, and 3) 10-m walk test (partially over an electronic mat) measured by stopwatch. Analyses of systematic bias, proportional bias, and absolute agreement were performed to determine concurrent validity between conditions. FINDINGS: Walking speeds were not different between measurements (P ≥ 0.11), except maximal walking speed was faster when speed was measured with software vs. stopwatch (P = 0.002). Absolute agreement between measurements was excellent (ICC ≥ 0.97, P < 0.001). There was proportional bias between software vs. stopwatch (R2 ≥ 0.19, P ≤ 0.03) and between tests with vs. without the electronic mat (R2 = 0.27, P = 0.008). Comparisons between conditions revealed that walking speed and concurrent validity may be influenced by walking test distance, presence of an electronic mat, speed measurement device, and relative measurement distance. INTERPRETATION: Walking test procedures influence walking speed and concurrent validity between measurements. Waking test procedures should be as similar as possible with normative data or between repeated measurements to optimize validity.
BACKGROUND: Walking speed measurements are clinically important, but varying test procedures may influence measurements and impair clinical utility. This study assessed the concurrent validity of walking speed in individuals with chronic stroke measured during the 10-m walk test with variations in 1) the presence of an electronic mat, 2) the speed measurement device, and 3) the measurement distance relative to the total test distance. METHODS: Twenty-five individuals with chronic stroke performed walking tests at comfortable and maximal walking speeds under three conditions: 1) 10-m walk test (without electronic mat) measured by stopwatch, 2) 10-m walk test (partially over an electronic mat) measured by software, and 3) 10-m walk test (partially over an electronic mat) measured by stopwatch. Analyses of systematic bias, proportional bias, and absolute agreement were performed to determine concurrent validity between conditions. FINDINGS: Walking speeds were not different between measurements (P ≥ 0.11), except maximal walking speed was faster when speed was measured with software vs. stopwatch (P = 0.002). Absolute agreement between measurements was excellent (ICC ≥ 0.97, P < 0.001). There was proportional bias between software vs. stopwatch (R2 ≥ 0.19, P ≤ 0.03) and between tests with vs. without the electronic mat (R2 = 0.27, P = 0.008). Comparisons between conditions revealed that walking speed and concurrent validity may be influenced by walking test distance, presence of an electronic mat, speed measurement device, and relative measurement distance. INTERPRETATION: Walking test procedures influence walking speed and concurrent validity between measurements. Waking test procedures should be as similar as possible with normative data or between repeated measurements to optimize validity.
Authors: Jennifer S Wong; Hardika Jasani; Vivien Poon; Elizabeth L Inness; William E McIlroy; Avril Mansfield Journal: Gait Posture Date: 2014-02-26 Impact factor: 2.840
Authors: James W Youdas; John H Hollman; Monica J Aalbers; Holly N Ahrenholz; Rebecca A Aten; Joseph J Cremers Journal: Arch Phys Med Rehabil Date: 2006-12 Impact factor: 3.966