Literature DB >> 32371377

Feasibility study of a 10-week community-based program using the WalkWithMe application on physical activity, walking, fatigue and cognition in persons with Multiple Sclerosis.

Fanny Van Geel1, Eva Geurts2, Zuhal Abasıyanık3, Karin Coninx4, Peter Feys5.   

Abstract

BACKGROUND: People with Multiple Sclerosis (pwMS) show diverse symptoms, such as fatigue and decline in motor and cognitive function. Physical activity shows to have a positive impact on many of these symptoms. However, many pwMS lead sedentary lives. Objectives of this study were to evaluate the feasibility of prolonged use of the WalkWithMe, a personalized mobile application that supports pwMS in walking at home, and its effect on physical activity, walking, fatigue and cognition in persons with MS.
METHODS: Nineteen pwMS were enrolled in a 10-week home-based intervention with the WalkWithMe application after setting personal goals based on baseline testing values, where twelve patients completed the program. Before and after the intervention, motor (6MWT, T25FW, 5-STS, NHPT) and cognitive function (PASAT and SDMT) were evaluated, together with the patient reported impact on walking, physical activity, quality of life and fatigue by MSWS-12, IPAQ, SF-36, MSIS-29, MFIS and FSS, respectively.
RESULTS: Significant improvement was seen for some parts of self-reported physical activity and quality of life (IPAQ: walking, p = 0.04, leisure, p = 0.02; SF-36: physical functioning, p = 0.02), cognition (SDMT, p = 0.01), cognitive fatigability (PASAT, p = 0.05), lower limb strength (5-STS, p = 0.05) and dominant hand function (NHPT, p = 0.002).
CONCLUSION: This feasibility study was successful at improving categories of self-reported physical activity, lower limb functional strength, hand function and cognition, but results need to be interpreted with caution, given the small and not always clinically relevant changes. Larger sample sizes in a controlled experimental design are needed to confirm these results.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fatigue; Mobile application; Multiple Sclerosis; Physical activity; Walking; mHealth

Year:  2020        PMID: 32371377     DOI: 10.1016/j.msard.2020.102067

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  5 in total

1.  A Mobile Application to Perform the Six-Minute Walk Test (6MWT) at Home: A Random Walk in the Park Is as Accurate as a Standardized 6MWT.

Authors:  Martijn Scherrenberg; Cindel Bonneux; Deeman Yousif Mahmood; Dominique Hansen; Paul Dendale; Karin Coninx
Journal:  Sensors (Basel)       Date:  2022-06-03       Impact factor: 3.847

2.  Leveraging Walking Performance to Understand Work Fatigue Among Young Adults: Mixed-Methods Study.

Authors:  Xinghui Yan; Pei-Luen Patrick Rau; Runting Zhong
Journal:  Interact J Med Res       Date:  2020-11-13

Review 3.  Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice.

Authors:  Maria Scholz; Rocco Haase; Dirk Schriefer; Isabel Voigt; Tjalf Ziemssen
Journal:  Brain Sci       Date:  2021-02-02

4.  Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study.

Authors:  Miklos Palotai; Max Wallack; Gergo Kujbus; Adam Dalnoki; Charles Guttmann
Journal:  JMIR Mhealth Uhealth       Date:  2021-04-16       Impact factor: 4.773

5.  Improving public health through the development of local scientific capacity and training in rehabilitation in LMICs: A proof-of-concept of collaborative efforts in Parakou, Benin.

Authors:  Bruno Bonnechère; Oyéné Kossi; Thierry Adoukonou; Karin Coninx; Annemie Spooren; Peter Feys
Journal:  Front Public Health       Date:  2022-09-07
  5 in total

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