Fall Recovery Training for Individuals With Chronic Stroke

NCT03638089 | Completed

• 1 other identifier: 791562-8
• Study Type: interventional
• Target: 19
• Locations: 0 countries
• Sites: N/A

Brief Summary

The purpose of this study is to quantify how fall-recovery training improves the fall-recovery response of individuals with chronic stroke. Up to 20 participants with chronic stroke will be recruited from the community. Over six laboratory visits, participants will undergo sessions of fall-recovery training. Each session is comprised of simulated trips and slips as participants stand on a computer-controlled treadmill. Trip-recovery training consists of treadmill-delivered disturbances that induce a forward fall. Slip-recovery training consists of a treadmill-delivered disturbances that induce a backward fall. Separate progressions focus on initial steps with the left and right limbs. The training intensity, as determined by the disturbance magnitude, is progressive and dependent on participant performance. Step length and maximum trunk angle will be calculated. The hypothesis is that, with practice, participants will recover from larger perturbations, and they will increase step length and reduce trunk rotation during fall recoveries.

Conditions

Stroke

Outcome Measures

Primary Outcomes (1)

• Disturbance magnitude

  The highest disturbance magnitude from which a successful fall-recovery resulted on the first and last training sessions

  2-3 weeks (first to last training session)

Secondary Outcomes (2)

• Step length

  2-3 weeks (first to last training session)

• Trunk rotation

  2-3 weeks (first to last training session)

Study Arms (1)

Intervention Group

EXPERIMENTAL

This group will receive up to six sessions of fall-recovery training over the course of 2-3 weeks.

Behavioral: Fall-recovery training

Interventions

Fall-recovery training BEHAVIORAL

Participants practice recovering from simulated, treadmill-induced slips and trips.

Intervention Group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Participants must be 18 years or older
• Participants must have had a single stroke of non-cerebellar origin

You may not qualify if:

• More than one stroke
• Unable to walk one block without stopping or using a walking aid, such as a cane
• Acute illness at the time of functional assessment or training
• Body mass greater than 136 kg (300 lbs)
• Lower extremity joint replacement or shoulder joint replacement within a year prior to participation
• Dementia
• Parkinson's disease
• A history of back surgery
• A history of neck surgery
• More than one occurrence of back or neck pain in the month prior to participation
• Current back or neck pain at the time of participant enrollment
• Bulging vertebral discs
• Spine, hip, or lower extremity fracture within a year prior to participation
• Open lesions on the lower extremity
• Insulin-dependent diabetes

Sponsors & Collaborators

• University of Delaware: lead

Related Publications (1)

• Pigman J, Reisman DS, Pohlig RT, Wright TR, Crenshaw JR. The development and feasibility of treadmill-induced fall recovery training applied to individuals with chronic stroke. BMC Neurol. 2019 May 25;19(1):102. doi: 10.1186/s12883-019-1320-8.

  PMID: 31128598 DERIVED

MeSH Terms

Conditions

Stroke

Condition Hierarchy (Ancestors)

Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Vascular Diseases; Cardiovascular Diseases

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: August 16, 2018
• First Posted: August 20, 2018
• Study Start: September 11, 2015
• Primary Completion: July 7, 2019
• Study Completion: July 7, 2019
• Last Updated: September 17, 2019

Record last verified: 2019-09

Data Sharing

• IPD Sharing: Will not share