Literature DB >> 24458896

Sampling frequency impacts measurement of walking activity after stroke.

Brian Knarr1, Margaret A Roos, Darcy S Reisman.   

Abstract

The purpose of this study was to examine the effect of sampling epoch on total time spent walking and number of walking bouts per day in persons with stroke. Ninety-eight persons with average age of 63.8 yr and average time poststroke of 43.6 mo participated. Participants wore a StepWatch Activity Monitor for 3 to 5 consecutive days. The number of strides taken was collected in consecutive 5 s epochs and down sampled into 10, 20, 30, and 60 s epochs. Total time walking and total number of walking bouts were determined for each day. Low activity days were defined as days below the 25th percentile of total steps per day and high activity days as days above the 75th percentile of total steps per day. Total time walking and total number of bouts were different for each sampling epoch (p < 0.001 for all). The 5 s sampling epoch resulted in calculation of ~40% of the walking time and ~6 times as many bouts as a 60 s sampling epoch. Differences were greater for low activity days (p < 0.001 for all). Sampling epoch affects daily step activity variables whose calculation depends on time, especially during low activity days. Sampling epoch must be carefully considered when designing studies aimed at understanding patterns of daily walking activity.

Entities:  

Keywords:  CVA; ambulation; hemiparesis; hemiplegia; locomotor activity; neurological disorders; physical activity; physical exercise; stroke; walking

Mesh:

Year:  2013        PMID: 24458896      PMCID: PMC4342114          DOI: 10.1682/JRRD.2012.12.0225

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  18 in total

1.  Little change of modifiable risk factors 1 year after stroke: a pilot study.

Authors:  Nete Hornnes; Klaus Larsen; Gudrun Boysen
Journal:  Int J Stroke       Date:  2010-06       Impact factor: 5.266

2.  Step activity monitor: long-term, continuous recording of ambulatory function.

Authors:  K L Coleman; D G Smith; D A Boone; A W Joseph; M A del Aguila
Journal:  J Rehabil Res Dev       Date:  1999-01

3.  How many days of pedometer monitoring predict weekly physical activity in adults?

Authors:  C Tudor-Locke; L Burkett; J P Reis; B E Ainsworth; C A Macera; D K Wilson
Journal:  Prev Med       Date:  2005-03       Impact factor: 4.018

4.  Microprocessor-based ambulatory activity monitoring in stroke patients.

Authors:  Richard F Macko; Elaina Haeuber; Marianne Shaughnessy; Kim L Coleman; David A Boone; Gerald V Smith; Kenneth H Silver
Journal:  Med Sci Sports Exerc       Date:  2002-03       Impact factor: 5.411

Review 5.  Aerobic exercise training in stroke survivors.

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

Review 6.  Best practices for using physical activity monitors in population-based research.

Authors:  Charles E Matthews; Maria Hagströmer; David M Pober; Heather R Bowles
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

Review 7.  Monitoring of physical activity after stroke: a systematic review of accelerometry-based measures.

Authors:  Nick Gebruers; Christel Vanroy; Steven Truijen; Sebastiaan Engelborghs; Peter P De Deyn
Journal:  Arch Phys Med Rehabil       Date:  2010-02       Impact factor: 3.966

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

Authors:  Margaret A Roos; Katherine S Rudolph; Darcy S Reisman
Journal:  Phys Ther       Date:  2012-06-07

9.  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

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
  5 in total

1.  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

2.  Voluntary exercise ameliorates the good limb training effect in a mouse model of stroke.

Authors:  Victoria Nemchek; Emma M Haan; Rachel Mavros; Amanda Macuiba; Abigail L Kerr
Journal:  Exp Brain Res       Date:  2021-01-03       Impact factor: 1.972

Review 3.  Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review.

Authors:  Valerie A J Block; Erica Pitsch; Peggy Tahir; Bruce A C Cree; Diane D Allen; Jeffrey M Gelfand
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

4.  Relationships of Linear and Non-linear Measurements of Post-stroke Walking Activity and Their Relationship to Weather.

Authors:  Sydney C Andreasen; Tamara R Wright; Jeremy R Crenshaw; Darcy S Reisman; Brian A Knarr
Journal:  Front Sports Act Living       Date:  2020-11-03

5.  Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk.

Authors:  Allison Miller; Zachary Collier; Darcy S Reisman
Journal:  J Neuroeng Rehabil       Date:  2022-10-14       Impact factor: 5.208

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.