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临床试验/NCT07114575
NCT07114575已完成不适用

Spatiotemporal Characteristics of Gait at Different Walking Speeds in Individuals With Stroke

Ankara Yildirim Beyazıt University1 个研究点 分布在 1 个国家目标入组 15 人开始时间: 2025年8月1日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
15
试验地点
1
主要终点
Stance Phase

研究概览

简要总结

Stroke is the second leading cause of death and the third leading cause of death combined with disability worldwide. Despite improved recognition and management of stroke risk factors, the risk of stroke has increased by 50% in the last two decades due to increased life expectancy, currently affecting one in every four individuals. If this trend continues, by 2030, it is estimated that 12 million people will die from stroke, and 70 million will live with its consequences.

Stroke leads to significant changes in the spatiotemporal parameters of gait. Spatial parameters include step length, stride length, and step width, while temporal parameters comprise cadence, stance phase, double support phase (DSP), and swing phase. Gait speed, incorporating both spatial and temporal elements, is classified as a spatiotemporal parameter. Compared to healthy individuals, people post-stroke tend to have increased DSP and stance phases, shortened step lengths, and widened step widths. Asymmetries between the paretic and non-paretic limbs further disrupt gait symmetry.

Previous studies have shown that during prolonged walking tasks such as the 6-minute walk test, both gait speed and symmetry deteriorate in the later stages, potentially due to fatigue. However, changes in walking speed itself may also influence gait symmetry. From this perspective, the aim of this study is to investigate how spatiotemporal gait parameters vary across different walking speeds in individuals with stroke.

详细描述

Stroke is one of the leading causes of death and disability worldwide, with increasing prevalence due to longer life expectancy, despite improved recognition and management of risk factors. Stroke-related impairments, particularly in gait, significantly affect individuals' independence and quality of life. Post-stroke gait is commonly characterized by altered spatiotemporal parameters, including reduced step length, increased double support phase, asymmetry between paretic and non-paretic limbs, and reduced walking speed.

This descriptive study aims to investigate how different walking speeds affect the spatiotemporal gait parameters in individuals with stroke. Specifically, the study will examine walking at comfortable, slow (-25%), and fast (+25%) speeds using an instrumented treadmill (C-Mill). The target population includes adult individuals (18+) diagnosed with hemiplegia (ICD-10: G81), who are able to ambulate with or without assistance (Functional Ambulation Classification ≥2).

Spatiotemporal gait parameters, including step length, step width, cadence, stance and swing phases, and double support time, will be collected for both paretic and non-paretic limbs. These parameters will be assessed at three different walking speeds. In addition to gait analysis, functional status will be evaluated using the Functional Ambulation Classification (FAC), Berg Balance Scale (BBS), and the lower extremity section of the Fugl-Meyer Assessment (FMA-LE). Demographic and clinical information will also be recorded.

Participants will first walk at their comfortable speed to familiarize themselves with the treadmill and to determine baseline parameters. After a 2-minute warm-up walk, a 2-minute data collection phase will follow. The same procedure will be repeated at the slow and fast walking speeds. Gait symmetry and changes in temporal-spatial parameters across walking speeds will be analyzed to explore the influence of speed variation, particularly regarding the mechanisms underlying gait asymmetry and fatigue.

This research will provide insight into how walking speed modulates gait parameters in stroke survivors and may contribute to developing more targeted gait training strategies in neurorehabilitation.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •Having an ICD-10 diagnosis code of G.81 Hemiplegia
  • •Ability to walk with or without assistance (Functional Ambulation Classification score of 2 or higher)

排除标准

  • •Presence of any known additional neurological or orthopedic condition that may affect walking
  • •Inability to complete the tests due to cognitive and/or physical reasons
  • •Inability to complete the analysis at walking speeds increased or decreased by 25%

研究组 & 干预措施

Self Selected Speed

Participants in this group will perform the gait analysis at their preferred comfortable walking speed.

干预措施: Gait Analysis (Other)

Slow Walking Speed

Participants in this group will walk at a speed approximately 25% slower than their comfortable walking speed.

干预措施: Gait Analysis (Other)

Fast Walking Speed

Participants in this group will walk at a speed approximately 25% faster than their comfortable walking speed.

干预措施: Gait Analysis (Other)

结局指标

主要结局

Stance Phase

时间窗: Baseline

Stance phase of hemiplegic side during walking. This outcome will be obtained as a result of the gait analysis

Hemiplegic Side Step Length

时间窗: Baseline

Step legth of hemiplegic side during walking. This outcome will be obtained as a result of the gait analysis

Double Support Phase

时间窗: Baseline

Double support phase during walking. This outcome will be obtained as a result of the gait analysis

次要结局

  • Stride Length(Baseline)

研究者

发起方
Ankara Yildirim Beyazıt University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Murat Akıncı

Principal Investigator

Ankara Yildirim Beyazıt University

研究点 (1)

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