Do spatiotemporal parameters and gait variability differ across the lifespan of healthy adults? A systematic review

Herssens, Nolan; Verbecque, Evi; Hallemans, Ann; Vereeck, Luc; Rompaey, Vincent Van; Saeys, Wim

doi:10.1016/j.gaitpost.2018.06.012

Cited by 162 publications

(179 citation statements)

References 57 publications

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“…The differences in these values are likely explained by differences in stride and height since the average step length in the present study was 0.58±0.05m, compared to 0.66m and 0.61m for Swedish men and 0.59m for Swedish women as reported by Al-Obaidi et al 5 Speed has been associated with variables such as step length, limbs length, height and cadence. 3 In this study, the step length was 0.58m and the average height was 166 cm, which are similar to those reported in studies conducted in similar age groups, with step lengths between 0.59m and 0.70m and heights that oscillate between 164cm and 180cm. 5,17,22 To make the data comparable between populations of different heights, several standardizations that include height, step length or limb length are frequently used.…”

Section: Discussionsupporting

confidence: 89%

“…All these aspects allow accurately interpreting the outcomes. [3][4][5] To provide a solution for the measurement issues mentioned above and to perform a more objective evaluation, high-quality systems such as gait analysis laboratories have been designed. These laboratories are considered as one of the most comprehensive and sophisticated evaluation methods since they provide an objective and quantitative assessment of the different parameters of human gait, 2 which are essential and necessary for the proper evaluation and diagnosis of gait alterations, and, also, for therapeutic follow-up and making clinical decisions (surgeries, orthoses, prosthesis).…”

Section: Introductionmentioning

confidence: 99%

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Gait parameters in a sample of healthy Colombian adults aged between 18 and 25 years: a cross-sectional study

et al. 2020

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Parámetros de la marcha en una muestra de adultos sanos colombianos entre 18 y 25 años, un estudio transversal ORIGINAL RESEARCH Abstract Introduction: Gait analysis is fundamental for assessing the functional capacity and motor skills of any individual. Therefore, a reliable and specific analysis method is necessary to study gait in different populations. However, the reference values of gait parameters currently used in Colombia come from studies conducted on population groups from other countries or regions. Objective: To identify the reference values of gait kinematic parameters in healthy Colombian young adults. Materials and methods: A quantitative, descriptive, and cross-sectional study was conducted. The sample consisted of 155 Colombian young adults (aged 18 to 25). Temporal-spatial parameters and kinematics data of each participant were measured through 3D motion capture, which was performed using 8 infrared cameras (Bonita 10) and the VICON NEXUS 1.8.5. software. POLYGON 4.1. software was used for data analysis, and statistical analysis was performed using the STATA 12.1. software package. Results: Average age, height and BMI were 20.3 years, 1.66m and 21.91T kg/m 2 , respectively. 41.29% of participants were male. The average values obtained for the cadence, stride time, speed and initial swing temporal-spatial parameters were as follows: 103 steps/min, 1.16 seconds, 1.01 m/s, and 59.62% of the gait cycle (both sides), respectively. Conclusion: Normal gait kinematic and temporal-spatial parameters of a group of healthy Colombian young adults were obtained, which will allow establishing the characteristics of normal gait in this population, improving intervention strategies, and designing and implementing technical aids aimed at improving locomotion in Colombian individuals.Introducción. El análisis de la marcha es un componente fundamental para evaluar la capacidad motora y funcional de un individuo, por lo que su estudio en diferentes poblaciones requiere un método de análisis confiable y específico. Sin embargo, los parámetros de referencia usados en Colombia provienen de poblaciones de otros países o regiones. Objetivo. Identificar los parámetros cinemáticos de referencia de la marcha en adultos sanos colombianos con edades entre 18 y 25 años. Materiales y métodos. Estudio cuantitativo, descriptivo y de corte transversal realizado en 155 colombianos sanos entre 18 y 25 años. Los parámetros temporo-espaciales y los datos cinemáticos de cada participante fueron medidos mediante captura de movimiento 3D, la cual fue realizada con 8 cámaras infrarrojas (Bonita 10) y el software VICON NEXUS 1.8.5. Los datos fueron analizados con el programa POLYGON 4.1; para el análisis estadístico se utilizó el software STATA 12.1. Resultados. Los promedios de edad, altura e IMC de la muestra fueron 20.3 años, 1.66m y 21.91 kg/m2, respectivamente; además, el 41.29% de los participantes eran hombres. Los promedios obtenidos para los parámetros temporo-espaciales cadencia del paso, duración de la zancada, velocidad e ini...

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Gait parameters in a sample of healthy Colombian adults aged between 18 and 25 years: a cross-sectional study

et al. 2020

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“…In other words, if we had collected data on the same subject during walking, the use of different foot markers to calculate step width would have resulted in different coefficient of variations, while the standard deviations of the step width would have been the same (assuming that the foot is a rigid segment and there is no rotation). This is supported by a recent literature review that showed that the coefficient of variation of step width exhibited large differences between studies [69]. Finally, the coefficient of variation is applicable only to ratio data, and the step width is considered interval data as it is not bounded by a meaningful zero point [46,70].…”

Section: Computation Of Step Width Variabilitymentioning

confidence: 80%

Step width variability as a discriminator of age-related gait changes

Skiadopoulos

Moore

Sayles

et al. 2020

J NeuroEngineering Rehabil

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Background: There is scientific evidence that older adults aged 65 and over walk with increased step width variability which has been associated with risk of falling. However, there are presently no threshold levels that define the optimal reference range of step width variability. Thus, the purpose of our study was to estimate the optimal reference range for identifying older adults with normative and excessive step width variability. Methods: We searched systematically the BMC, Cochrane Library, EBSCO, Frontiers, IEEE, PubMed, Scopus, SpringerLink, Web of Science, Wiley, and PROQUEST databases until September 2018, and included the studies that measured step width variability in both younger and older adults during walking at self-selected speed. Data were pooled in meta-analysis, and standardized mean differences (SMD) with 95% confidence intervals (CI) were calculated. A single-decision threshold method based on the Youden index, and a two-decision threshold method based on the uncertain interval method were used to identify the optimal threshold levels (PROSPERO registration: CRD42018107079). Results: Ten studies were retrieved (older adults = 304; younger adults = 219).Step width variability was higher in older than in younger adults (SMD = 1.15, 95% CI = 0.60; 1.70; t = 4.72, p = 0.001). The single-decision method set the threshold level for excessive step width variability at 2.14 cm. For the two-decision method, step width variability values above the upper threshold level of 2.50 cm were considered excessive, while step width variability values below the lower threshold level of 1.97 cm were considered within the optimal reference range. Conclusion:Step width variability is higher in older adults than in younger adults, with step width variability values above the upper threshold level of 2.50 cm to be considered as excessive. This information could potentially impact rehabilitation technology design for devices targeting lateral stability during walking.

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“…The healthy control group in this study was not age matched with the BVP group and there were nonsignificant age differences between the three BVP groups. However, we do not think that this would influence our findings as a number of studies have shown that gait variability (the focus of the current study) in healthy young and older adults is not significantly affected by (healthy) ageing (Herssens et al 2018;Hollman et al 2011).…”

Section: Discussionmentioning

confidence: 76%

Is faster always better? The walking speed-dependency of gait variability in bilateral vestibulopathy

McCrum

Lucieer

Berg

et al. 2018

Preprint

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2 5 chris.mccrum@maastrichtuniversity.nl 2 6 2 7 2 Abstract 2 8Study of balance and gait deficits associated with vestibulopathy is important for improving clinical care and is 2 9 critical to our understanding of the vestibular contributions to gait and balance control. Previous studies report a 3 0 speed-dependency of the vestibular contributions to gait, so we examined the walking speed effects on gait 3 1 variability in healthy young and older adults and in adults with bilateral vestibulopathy (BVP). Forty-four 3 2 people with BVP, 12 healthy young adults and 12 healthy older adults completed walking trials at 0.4m/s to 3 3 1.6m/s in 0.2m/s intervals on a dual belt, instrumented treadmill. Using a motion capture system and kinematic 3 4 data, the means and coefficients of variation for step length, time, width and double support time were 3 5 calculated. The BVP group also completed a video head impulse test and examinations of ocular and cervical 3 6 vestibular evoked myogenic potentials and dynamic visual acuity. Walking speed significantly affected all 3 7assessed gait parameters.Step length variability at slower speeds and step width variability at faster speeds were 3 8 the most distinguishing parameters between the healthy participants and people with BVP, and within people 3 9with BVP with different locomotor capacities. We observed for step width variability, specifically, an apparent 4 0 persistent importance of vestibular function at increasing speeds. Gait variability was not associated with the 4 1 clinical vestibular tests. Our results indicate that gait variability at multiple walking speeds has potential as an 4 2 assessment tool for vestibular interventions. 4 3 4 4

show abstract

Do spatiotemporal parameters and gait variability differ across the lifespan of healthy adults? A systematic review

Cited by 162 publications

References 57 publications

Gait parameters in a sample of healthy Colombian adults aged between 18 and 25 years: a cross-sectional study

Gait parameters in a sample of healthy Colombian adults aged between 18 and 25 years: a cross-sectional study

Step width variability as a discriminator of age-related gait changes

Is faster always better? The walking speed-dependency of gait variability in bilateral vestibulopathy

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