Literature DB >> 22677293

The structure of walking activity in people after stroke compared with older adults without disability: a cross-sectional study.

Margaret A Roos1, Katherine S Rudolph, Darcy S Reisman.   

Abstract

BACKGROUND: People with stroke have reduced walking activity. It is not known whether this deficit is due to a reduction in all aspects of walking activity or only in specific areas. Understanding specific walking activity deficits is necessary for the development of interventions that maximize improvements in activity after stroke.
OBJECTIVE: The purpose of this study was to examine walking activity in people poststroke compared with older adults without disability.
DESIGN: A cross-sectional study was conducted.
METHODS: Fifty-four participants poststroke and 18 older adults without disability wore a step activity monitor for 3 days. The descriptors of walking activity calculated included steps per day (SPD), bouts per day (BPD), steps per bout (SPB), total time walking per day (TTW), percentage of time walking per day (PTW), and frequency of short, medium, and long walking bouts.
RESULTS: Individuals classified as household and limited community ambulators (n=29) did not differ on any measure and were grouped (HHA-LCA group) for comparison with unlimited community ambulators (UCA group) (n=22) and with older adults without disability (n=14). The SPD, TTW, PTW, and BPD measurements were greatest in older adults and lowest in the HHA-LCA group. Seventy-two percent to 74% of all walking bouts were short, and this finding did not differ across groups. Walking in all categories (short, medium, and long) was lowest in the HHA-LCA group, greater in the UCA group, and greatest in older adults without disability. LIMITATIONS: Three days of walking activity were captured.
CONCLUSIONS: The specific descriptors of walking activity presented provide insight into walking deficits after stroke that cannot be ascertained by looking at steps per day alone. The deficits that were revealed could be addressed through appropriate exercise prescription, underscoring the need to analyze the structure of walking activity.

Entities:  

Mesh:

Year:  2012        PMID: 22677293      PMCID: PMC3432950          DOI: 10.2522/ptj.20120034

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  19 in total

1.  Update on distance and velocity requirements for community ambulation.

Authors:  A Williams Andrews; Susan A Chinworth; Michael Bourassa; Miranda Garvin; Dacia Benton; Scott Tanner
Journal:  J Geriatr Phys Ther       Date:  2010 Jul-Sep       Impact factor: 3.381

2.  Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness in patients with chronic stroke: a randomized, controlled trial.

Authors:  Richard F Macko; Frederick M Ivey; Larry W Forrester; Daniel Hanley; John D Sorkin; Leslie I Katzel; Kenneth H Silver; Andrew P Goldberg
Journal:  Stroke       Date:  2005-09-08       Impact factor: 7.914

3.  Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds.

Authors:  George Chen; Carolynn Patten; Dhara H Kothari; Felix E Zajac
Journal:  Gait Posture       Date:  2005-08       Impact factor: 2.840

4.  Using step activity monitoring to characterize ambulatory activity in community-dwelling older adults.

Authors:  James T Cavanaugh; Kim L Coleman; Jean M Gaines; Linda Laing; Miriam C Morey
Journal:  J Am Geriatr Soc       Date:  2007-01       Impact factor: 5.562

5.  Reduced ambulatory activity after stroke: the role of balance, gait, and cardiovascular fitness.

Authors:  Kathleen M Michael; Jerilyn K Allen; Richard F Macko
Journal:  Arch Phys Med Rehabil       Date:  2005-08       Impact factor: 3.966

Review 6.  Aerobic exercise training in stroke survivors.

Authors:  James H Rimmer; Edward Wang
Journal:  Top Stroke Rehabil       Date:  2005       Impact factor: 2.119

7.  Activity, participation, and quality of life 6 months poststroke.

Authors:  Nancy E Mayo; Sharon Wood-Dauphinee; Robert Côté; Liam Durcan; Joseph Carlton
Journal:  Arch Phys Med Rehabil       Date:  2002-08       Impact factor: 3.966

8.  Classification of walking handicap in the stroke population.

Authors:  J Perry; M Garrett; J K Gronley; S J Mulroy
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

9.  Ambulatory activity intensity profiles, fitness, and fatigue in chronic stroke.

Authors:  Kathleen Michael; Richard F Macko
Journal:  Top Stroke Rehabil       Date:  2007 Mar-Apr       Impact factor: 2.119

10.  NXY-059 for acute ischemic stroke.

Authors:  Kennedy R Lees; Justin A Zivin; Tim Ashwood; Antonio Davalos; Stephen M Davis; Hans-Christoph Diener; James Grotta; Patrick Lyden; Ashfaq Shuaib; Hans-Göran Hårdemark; Warren W Wasiewski
Journal:  N Engl J Med       Date:  2006-02-09       Impact factor: 91.245

View more
  22 in total

1.  Sampling frequency impacts measurement of walking activity after stroke.

Authors:  Brian Knarr; Margaret A Roos; Darcy S Reisman
Journal:  J Rehabil Res Dev       Date:  2013

2.  Use of Accelerometers to Examine Sedentary Time on an Acute Stroke Unit.

Authors:  Anna E Mattlage; Sara A Redlin; Michael A Rippee; Michael G Abraham; Marilyn M Rymer; Sandra A Billinger
Journal:  J Neurol Phys Ther       Date:  2015-07       Impact factor: 3.649

3.  Combining Fast-Walking Training and a Step Activity Monitoring Program to Improve Daily Walking Activity After Stroke: A Preliminary Study.

Authors:  Kelly A Danks; Ryan Pohlig; Darcy S Reisman
Journal:  Arch Phys Med Rehabil       Date:  2016-05-27       Impact factor: 3.966

4.  Use of a Nonexercise Estimate for Prestroke Peak Vo2 During the Acute Stroke Hospital Stay.

Authors:  Anna E Mattlage; Sara A Redlin; Lee R Rosterman; Nick Harn; Jason-Flor V Sisante; Michael G Abraham; Sandra A Billinger
Journal:  Cardiopulm Phys Ther J       Date:  2016-07

5.  Pain Energy Model of Mobility Limitation in the Older Adult.

Authors:  Peter C Coyle; Jennifer A Schrack; Gregory E Hicks
Journal:  Pain Med       Date:  2018-08-01       Impact factor: 3.750

6.  A step activity monitoring program improves real world walking activity post stroke.

Authors:  Kelly A Danks; Margaret A Roos; Dana McCoy; Darcy S Reisman
Journal:  Disabil Rehabil       Date:  2014-03-27       Impact factor: 3.033

7.  Effect of Hospitalizations on Physical Activity Patterns in Mobility-Limited Older Adults.

Authors:  Amal A Wanigatunga; Thomas M Gill; Anthony P Marsh; Fang-Chi Hsu; Lusine Yaghjyan; Adam J Woods; Nancy W Glynn; Abby C King; Robert L Newton; Roger A Fielding; Marco Pahor; Todd M Manini
Journal:  J Am Geriatr Soc       Date:  2018-11-19       Impact factor: 5.562

8.  Ventilatory threshold may be a more specific measure of aerobic capacity than peak oxygen consumption rate in persons with stroke.

Authors:  Pierce Boyne; Darcy Reisman; Michael Brian; Brian Barney; Ava Franke; Daniel Carl; Jane Khoury; Kari Dunning
Journal:  Top Stroke Rehabil       Date:  2016-07-25       Impact factor: 2.119

9.  Relationship Between Walking Capacity, Biopsychosocial Factors, Self-efficacy, and Walking Activity in Persons Poststroke.

Authors:  Kelly A Danks; Ryan T Pohlig; Margie Roos; Tamara R Wright; Darcy S Reisman
Journal:  J Neurol Phys Ther       Date:  2016-10       Impact factor: 3.649

Review 10.  Wearable motion sensors to continuously measure real-world physical activities.

Authors:  Bruce H Dobkin
Journal:  Curr Opin Neurol       Date:  2013-12       Impact factor: 5.710

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.