Literature DB >> 23419331

Steps per day among persons with multiple sclerosis: variation by demographic, clinical, and device characteristics.

Deirdre Dlugonski1, Lara A Pilutti, Brian M Sandroff, Yoojin Suh, Swathi Balantrapu, Robert W Motl.   

Abstract

OBJECTIVES: To identify steps per day in a large sample of persons with multiple sclerosis (MS) and to describe variation by demographic and clinical characteristics and device type.
DESIGN: Cross-sectional design.
SETTING: General community. PARTICIPANTS: Convenience sample of persons with multiple sclerosis (N=645) recruited from the general community who were ambulatory and relapse free for 30 days. Mean age ± SD of the participants was 46.3 ± 10.6 years old. Participants were mostly women (85%), white (93%), and employed (64%).
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Step counts measured by a motion sensor during a 7-day period.
RESULTS: The average value for the entire sample was 5,903 ± 3,185 steps per day. This value varied by demographic and clinical characteristics, but not device type, and indicated that men, participants who were unemployed, had a high school education or less, progressive MS, a longer disease duration, and higher disability were less physically active based on the metric of steps per day.
CONCLUSIONS: This study provides an expected value for average steps per day among persons with MS. Such an expected value for this population is an important first step to help researchers and clinicians interested in improving the overall health of persons with MS through physical activity promotion.
Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ANCOVA; CI; EDSS; Expanded Disability Status Scale; Health; MS; Multiple sclerosis; PDDS; Patient Determined Disease Steps; Rehabilitation; Walking; analysis of covariance; confidence interval; multiple sclerosis

Mesh:

Year:  2013        PMID: 23419331     DOI: 10.1016/j.apmr.2012.12.014

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  21 in total

1.  Walking function in clinical monitoring of multiple sclerosis by telemedicine.

Authors:  Núria Sola-Valls; Yolanda Blanco; Maria Sepúlveda; Sara Llufriu; Elena H Martínez-Lapiscina; Delon La Puma; Francesc Graus; Pablo Villoslada; Albert Saiz
Journal:  J Neurol       Date:  2015-05-10       Impact factor: 4.849

2.  Understanding walking activity in multiple sclerosis: step count, walking intensity and uninterrupted walking activity duration related to degree of disability.

Authors:  An Neven; Annelien Vanderstraeten; Davy Janssens; Geert Wets; Peter Feys
Journal:  Neurol Sci       Date:  2016-05-20       Impact factor: 3.307

3.  Continuous daily assessment of multiple sclerosis disability using remote step count monitoring.

Authors:  V J Block; A Lizée; E Crabtree-Hartman; C J Bevan; J S Graves; R Bove; A J Green; B Nourbakhsh; M Tremblay; P-A Gourraud; M Y Ng; M J Pletcher; J E Olgin; G M Marcus; D D Allen; B A C Cree; J M Gelfand
Journal:  J Neurol       Date:  2016-11-28       Impact factor: 4.849

Review 4.  Motion sensors in multiple sclerosis: Narrative review and update of applications.

Authors:  Jeffer Eidi Sasaki; Brian Sandroff; Marcas Bamman; Robert W Motl
Journal:  Expert Rev Med Devices       Date:  2017-10-18       Impact factor: 3.166

Review 5.  Exploring Wellness Interventions in Progressive Multiple Sclerosis: an Evidence-Based Review.

Authors:  Myriam Venasse; Thomas Edwards; Lara A Pilutti
Journal:  Curr Treat Options Neurol       Date:  2018-04-10       Impact factor: 3.598

6.  Effects of COVID-19 "Sheltering in Place" on Activity in People With Multiple Sclerosis.

Authors:  Valerie J Block; Riley Bove; Jeffrey M Gelfand; Bruce A C Cree
Journal:  Neurol Clin Pract       Date:  2021-04

7.  Cognitive Processing Speed Impairment Does Not Influence the Construct Validity of Six-Spot Step Test Performance in People With Multiple Sclerosis.

Authors:  Brian M Sandroff; Stephanie L Silveira; Jessica F Baird; Trinh Huynh; Robert W Motl
Journal:  Phys Ther       Date:  2021-02-04

8.  Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study).

Authors:  Layal Shammas; Tom Zentek; Birte von Haaren; Stefan Schlesinger; Stefan Hey; Asarnusch Rashid
Journal:  Biomed Eng Online       Date:  2014-02-06       Impact factor: 2.819

9.  Accuracy of StepWatch™ and ActiGraph accelerometers for measuring steps taken among persons with multiple sclerosis.

Authors:  Brian M Sandroff; Robert W Motl; Lara A Pilutti; Yvonne C Learmonth; Ipek Ensari; Deirdre Dlugonski; Rachel E Klaren; Swathi Balantrapu; Barry J Riskin
Journal:  PLoS One       Date:  2014-04-08       Impact factor: 3.240

10.  Free-Living Physical Activity Monitoring in Adult US Patients with Multiple Sclerosis Using a Consumer Wearable Device.

Authors:  Pronabesh DasMahapatra; Emil Chiauzzi; Rishi Bhalerao; Jane Rhodes
Journal:  Digit Biomark       Date:  2018-04-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.