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Falls-based Training for Walking Post-Stroke (FBT)

2018年2月22日 更新者:David A Brown、University of Alabama at Birmingham

Falls-based Training to Improve Balance and Mobility Post-Stroke

We propose a study that uses challenging walking exercises as a research training program and compare balance and walking abilities against a non-challenging exercise program, in a group of 40 people with long standing (> 6 months) weakness that occurred after a stroke. Our main balance measure will be changes with the Berg Balance Score and Dynamic Gait Index, and our main walking measure will be walking speed over a 10 meter walkway and distance walked over a six minute period. Also, we will measure balance confidence, using scores on Activities-specific Balance Confidence Scale, changes in quality of life as measured by the Geriatric Depression Scale, SF-36 and Stroke Impact Scale. If challenging exercises are shown to be more effective than non-challenging exercises, then we will share this promising new approach with the community in hopes of improving people's lives after a stroke.

研究概览

详细说明

In 2009, the American Heart Association (AHA) reported that the incidence of hemiplegia in patients six months post-stroke and over 65 years of age was 50%. Stroke survivors with chronic hemiplegia are at an increased risk for falling due to poor motor control, muscle weakness, and balance problems. While over-ground walking training has been shown to improve muscle coordination and functional movement outcomes in stroke survivors, the physical challenges to balance during the training is limited due to safety concerns. The limited training does not reflect the individuals' natural environment, which studies have shown to contain hazards that put post-stroke individuals at greater risk of loss of balance and falls. Therefore, it is important for clinicians to safely implement challenging environmental-hazard tasks as a way to effect greater improvements in walking capability post-stroke.

The usage of body weight support (BWS) during treadmill training has been shown to improve walking speed, but without the context of real world hazards, individuals may not gain improvements in balance related tasks nor gain confidence in moving through hazardous environments. The purpose of this study is to introduce a novel, falls-based training (FBT) approach that will enable individuals to be challenged at high levels of balance and walking safely, using a new robotic device called the KineAssist®, and to determine its relative effects compared to traditional body weight support treadmill training (BWSTT). We hypothesize that like the standard BWSTT, the novel FBT will result in improved walking speed, greater 6 minute walking distance, and greater Berg Balance scores. We also hypothesize that FBT will result in greater gains than BWSTT after the training, with a greater difference 6 months after training. In addition to the walking tests and the Berg Balance scale, we will compare the outcomes of the Stroke Impact Scale (SIS), the Geriatric Depression Scale (GDS)SF-36 Health Survey, the Activities-Specific Balance Confidence (ABC) Scale, the K-9 task Balance test, and the Dynamic Gait Index (DGI).

研究类型

介入性

注册 (实际的)

54

阶段

  • 不适用

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

19年 及以上 (成人、年长者)

接受健康志愿者

不

有资格学习的性别

全部

描述

Inclusion Criteria:

  • Community dwelling unilateral stroke survivors, aged 19 years or older, 4 months to 5 years post incident, residual hemiplegia, who are able to ambulate at least 14m with an assistive device or the assistance of one person, with receptive and expressive communication capability, approval of physician, and voluntarily provided informed consent.

Exclusion Criteria:

  • Significant and acute medical conditions, amputations, spasticity management that included phenol block injections within 12 months or botulinum toxin injections within 4 months of the study, any cognition involvement that impairs the ability to follow directions for, and plans to move out of the area within the next year or no transportation to the study area.

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:治疗
  • 分配:随机化
  • 介入模型:并行分配
  • 屏蔽:单身的

武器和干预

参与者组/臂
干预/治疗
有源比较器:Hands-Free Walking
Body-weight supported treadmill training
Walking on a treadmill at 60-80% maximum heart rate without holding onto anything
实验性的:Challenge Based plus Hands-Free
9 different balance and locomotor challenges applied during walking while not holding onto anything
Walking on a treadmill at 60-80% maximum heart rate without holding onto anything under 9 different challenging conditions

研究衡量的是什么?

主要结果指标

结果测量
大体时间
10 m walk test
大体时间:6 weeks
6 weeks

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:David A Brown, PhD、University of Alabama at Birmingham

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

2012年6月1日

初级完成 (实际的)

2015年11月1日

研究完成 (实际的)

2016年1月1日

研究注册日期

首次提交

2016年5月26日

首先提交符合 QC 标准的

2016年5月31日

首次发布 (估计)

2016年6月1日

研究记录更新

最后更新发布 (实际的)

2018年2月26日

上次提交的符合 QC 标准的更新

2018年2月22日

最后验证

2018年2月1日

更多信息

与本研究相关的术语

其他相关的 MeSH 术语

其他研究编号

  • F120425008

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

不

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