Literature DB >> 31063439

Walking speed as a predictor of community mobility and quality of life after stroke.

Montserrat Grau-Pellicer1,2, Andrés Chamarro-Lusar3, Josep Medina-Casanovas2,4, Bernat-Carles Serdà Ferrer5.   

Abstract

Background: Community mobility (CM) is considered a part of community reintegration that enhances Quality of Life (QoL). Achieving an appropriate gait speed is essential in attaining an independent outdoor ambulation and satisfactory CM. Objective: The aim of this study was to identify whether gait speed is a predictor of CM and QoL in patients with stroke following a multimodal rehabilitation program (MRP).
Methods: This was a baseline control trial with 6-months follow-up in an outpatient rehabilitation setting at a university hospital. Twenty-six stroke survivors completed the MRP (24 sessions, 2 days/wk, 1 hr/session). The MRP consisted of aerobic exercise, task-oriented exercises, balance exercises and stretching. Participants also performed an ambulation program at home. Outcome variables were: walking speed (10-m walking test) and QoL (physical and psychosocial domains of Euroquol and Sickness Impact Profile).
Results: At the end of the intervention, comfortable and fast walking speed increased by an average of 0.16 (SD 0.21) (*p < .05) and 0.40 (SD 0.51) (**p < .001) m/s, respectively. After the intervention, all participants achieved independent outdoor ambulation with an increase of 34.14 of walking minutes/day in the community and a decrease of sitting time of 95.45 minutes/day. Regarding QoL there were increased mean scores on the physical and psychosocial dimensions of Euroquol and the Sickness Impact Profile, respectively (**p < .001). Conclusions: The results suggest that improved walking speed after the MRP is associated with CM and higher scores in QoL. These findings support the need to implement rehabilitation programs to promote increased speed.

Entities:  

Keywords:  Stroke; community mobility; gait speed; quality of life; rehabilitation

Mesh:

Year:  2019        PMID: 31063439     DOI: 10.1080/10749357.2019.1605751

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  14 in total

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Review 2.  mHealth impact on secondary stroke prevention: a scoping review of randomized controlled trials among stroke survivors between 2010-2020.

Authors:  Amelia K Adcock; Treah Haggerty; Anna Crawford; Cristal Espinosa
Journal:  Mhealth       Date:  2022-04-20

3.  Effects of the Immobilization of the Upper Extremities on Spatiotemporal Gait Parameters during Walking in Stroke Patients: A Preliminary Study.

Authors:  Seung-Hyeon Hong; So-Young Jung; Hyeon-Kyung Oh; So-Hyeon Lee; Young-Keun Woo
Journal:  Biomed Res Int       Date:  2020-06-02       Impact factor: 3.411

4.  Task-specific training for improving propulsion symmetry and gait speed in people in the chronic phase after stroke: a proof-of-concept study.

Authors:  J F Alingh; B E Groen; J F Kamphuis; A C H Geurts; V Weerdesteyn
Journal:  J Neuroeng Rehabil       Date:  2021-04-23       Impact factor: 4.262

5.  Lower extremity long-latency reflexes differentiate walking function after stroke.

Authors:  Caitlin L Banks; Virginia L Little; Eric R Walker; Carolynn Patten
Journal:  Exp Brain Res       Date:  2019-08-01       Impact factor: 2.064

6.  Predictors of Neurological and Functional Recovery in Patients with Moderate to Severe Ischemic Stroke: The EPICA Study.

Authors:  Manuel Murie-Fernández; Mercedes Molleda Marzo
Journal:  Stroke Res Treat       Date:  2020-05-01

7.  Slow Walking in Individuals with Chronic Post-Stroke Hemiparesis: Speed Mediated Effects of Gait Kinetics and Ankle Kinematics.

Authors:  Jing Nong Liang; Kai-Yu Ho; Yun-Ju Lee; Corey Ackley; Kiley Aki; Joshua Arias; Jassie Trinh
Journal:  Brain Sci       Date:  2021-03-13

8.  Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work.

Authors:  Marco Iosa; Edda Capodaglio; Silvia Pelà; Benedetta Persechino; Giovanni Morone; Gabriella Antonucci; Stefano Paolucci; Monica Panigazzi
Journal:  Front Neurol       Date:  2021-05-19       Impact factor: 4.003

9.  Effects of Semi-Immersive Virtual Reality-Based Cognitive Training Combined with Locomotor Activity on Cognitive Function and Gait Ability in Community-Dwelling Older Adults.

Authors:  Na-Kyoung Hwang; Jong-Bae Choi; Dae-Kil Choi; Jae-Min Park; Chang-Wan Hong; Ji-Su Park; Tae-Hyung Yoon
Journal:  Healthcare (Basel)       Date:  2021-06-28

Review 10.  Effects of Combining Online Anodal Transcranial Direct Current Stimulation and Gait Training in Stroke Patients: A Systematic Review and Meta-Analysis.

Authors:  Tsubasa Mitsutake; Takeshi Imura; Tomonari Hori; Maiko Sakamoto; Ryo Tanaka
Journal:  Front Hum Neurosci       Date:  2021-12-10       Impact factor: 3.169

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