Literature DB >> 26358158

Exercise therapy for fatigue in multiple sclerosis.

Martin Heine1, Ingrid van de Port, Marc B Rietberg, Erwin E H van Wegen, Gert Kwakkel.   

Abstract

BACKGROUND: Multiple sclerosis (MS) is an immune-mediated disease of the central nervous system affecting an estimated 1.3 million people worldwide. It is characterised by a variety of disabling symptoms of which excessive fatigue is the most frequent. Fatigue is often reported as the most invalidating symptom in people with MS. Various mechanisms directly and indirectly related to the disease and physical inactivity have been proposed to contribute to the degree of fatigue. Exercise therapy can induce physiological and psychological changes that may counter these mechanisms and reduce fatigue in MS.
OBJECTIVES: To determine the effectiveness and safety of exercise therapy compared to a no-exercise control condition or another intervention on fatigue, measured with self-reported questionnaires, of people with MS. SEARCH
METHODS: We searched the Cochrane Multiple Sclerosis and Rare Diseases of the Central Nervous System Group Trials Specialised Register, which, among other sources, contains trials from: the Cochrane Central Register of Controlled Trials (CENTRAL) (2014, Issue 10), MEDLINE (from 1966 to October 2014), EMBASE (from 1974 to October 2014), CINAHL (from 1981 to October 2014), LILACS (from 1982 to October 2014), PEDro (from 1999 to October 2014), and Clinical trials registries (October 2014). Two review authors independently screened the reference lists of identified trials and related reviews. SELECTION CRITERIA: We included randomized controlled trials (RCTs) evaluating the efficacy of exercise therapy compared to no exercise therapy or other interventions for adults with MS that included subjective fatigue as an outcome. In these trials, fatigue should have been measured using questionnaires that primarily assessed fatigue or sub-scales of questionnaires that measured fatigue or sub-scales of questionnaires not primarily designed for the assessment of fatigue but explicitly used as such. DATA COLLECTION AND ANALYSIS: Two review authors independently selected the articles, extracted data, and determined methodological quality of the included trials. Methodological quality was determined by means of the Cochrane 'risk of bias' tool and the PEDro scale. The combined body of evidence was summarised using the GRADE approach. The results were aggregated using meta-analysis for those trials that provided sufficient data to do so. MAIN
RESULTS: Forty-five trials, studying 69 exercise interventions, were eligible for this review, including 2250 people with MS. The prescribed exercise interventions were categorised as endurance training (23 interventions), muscle power training (nine interventions), task-oriented training (five interventions), mixed training (15 interventions), or 'other' (e.g. yoga; 17 interventions). Thirty-six included trials (1603 participants) provided sufficient data on the outcome of fatigue for meta-analysis. In general, exercise interventions were studied in mostly participants with the relapsing-remitting MS phenotype, and with an Expanded Disability Status Scale less than 6.0. Based on 26 trials that used a non-exercise control, we found a significant effect on fatigue in favour of exercise therapy (standardized mean difference (SMD) -0.53, 95% confidence interval (CI) -0.73 to -0.33; P value < 0.01). However, there was significant heterogeneity between trials (I(2) > 58%). The mean methodological quality, as well as the combined body of evidence, was moderate. When considering the different types of exercise therapy, we found a significant effect on fatigue in favour of exercise therapy compared to no exercise for endurance training (SMDfixed effect -0.43, 95% CI -0.69 to -0.17; P value < 0.01), mixed training (SMDrandom effect -0.73, 95% CI -1.23 to -0.23; P value < 0.01), and 'other' training (SMDfixed effect -0.54, 95% CI -0.79 to -0.29; P value < 0.01). Across all studies, one fall was reported. Given the number of MS relapses reported for the exercise condition (N = 25) and non-exercise control condition (N = 26), exercise does not seem to be associated with a significant risk of a MS relapse. However, in general, MS relapses were defined and reported poorly. AUTHORS'
CONCLUSIONS: Exercise therapy can be prescribed in people with MS without harm. Exercise therapy, and particularly endurance, mixed, or 'other' training, may reduce self reported fatigue. However, there are still some important methodological issues to overcome. Unfortunately, most trials did not explicitly include people who experienced fatigue, did not target the therapy on fatigue specifically, and did not use a validated measure of fatigue as the primary measurement of outcome.

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Mesh:

Year:  2015        PMID: 26358158      PMCID: PMC9554249          DOI: 10.1002/14651858.CD009956.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  122 in total

1.  Effect of exercise training on quality of life in multiple sclerosis: a meta-analysis.

Authors:  R W Motl; J L Gosney
Journal:  Mult Scler       Date:  2007-09-19       Impact factor: 6.312

2.  Fatigue and regulation of the hypothalamo-pituitary-adrenal axis in multiple sclerosis.

Authors:  Michaela Gottschalk; Tania Kümpfel; Peter Flachenecker; Manfred Uhr; Claudia Trenkwalder; Florian Holsboer; Frank Weber
Journal:  Arch Neurol       Date:  2005-02

3.  Effect of robot-assisted versus conventional body-weight-supported treadmill training on quality of life for people with multiple sclerosis.

Authors:  Lauren M Wier; Mary S Hatcher; Elizabeth W Triche; Albert C Lo
Journal:  J Rehabil Res Dev       Date:  2011

4.  Pragmatic intervention for increasing self-directed exercise behaviour and improving important health outcomes in people with multiple sclerosis: a randomised controlled trial.

Authors:  A Carter; A Daley; L Humphreys; N Snowdon; N Woodroofe; J Petty; A Roalfe; J Tosh; B Sharrack; J M Saxton
Journal:  Mult Scler       Date:  2014-01-13       Impact factor: 6.312

5.  Effect of aerobic training on walking capacity and maximal exercise tolerance in patients with multiple sclerosis: a randomized crossover controlled study.

Authors:  Anais Rampello; Marco Franceschini; Massimo Piepoli; Roberto Antenucci; Gabriella Lenti; Dario Olivieri; Alfredo Chetta
Journal:  Phys Ther       Date:  2007-04-03

6.  Effects of a short-term exercise training program on aerobic fitness, fatigue, health perception and activity level of subjects with multiple sclerosis.

Authors:  S Mostert; J Kesselring
Journal:  Mult Scler       Date:  2002-04       Impact factor: 6.312

7.  Respiratory muscle weakness and respiratory muscle training in severely disabled multiple sclerosis patients.

Authors:  R Gosselink; L Kovacs; P Ketelaer; H Carton; M Decramer
Journal:  Arch Phys Med Rehabil       Date:  2000-06       Impact factor: 3.966

8.  A health-related quality of life measure for multiple sclerosis.

Authors:  B G Vickrey; R D Hays; R Harooni; L W Myers; G W Ellison
Journal:  Qual Life Res       Date:  1995-06       Impact factor: 4.147

9.  The effects of home-based resistance exercise on balance, power, and mobility in adults with multiple sclerosis.

Authors:  Louisa S DeBolt; Jeffrey A McCubbin
Journal:  Arch Phys Med Rehabil       Date:  2004-02       Impact factor: 3.966

10.  The impact of disabilities on quality of life in people with multiple sclerosis.

Authors:  K Wynia; B Middel; J P van Dijk; J H A De Keyser; S A Reijneveld
Journal:  Mult Scler       Date:  2008-07-16       Impact factor: 6.312

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  73 in total

1.  Combined upper limb and breathing exercise programme for pain management in ambulatory and non-ambulatory multiple sclerosis individuals: part II analyses from feasibility study.

Authors:  Tanja Grubić Kezele; Matea Babić; Tamara Kauzlarić-Živković; Tamara Gulić
Journal:  Neurol Sci       Date:  2019-08-17       Impact factor: 3.307

Review 2.  Inflammation and the Silent Sequelae of Stroke.

Authors:  Kyra J Becker
Journal:  Neurotherapeutics       Date:  2016-10       Impact factor: 7.620

Review 3.  Wellness and the Role of Comorbidities in Multiple Sclerosis.

Authors:  Brandon P Moss; Mary R Rensel; Carrie M Hersh
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

4.  Evidence-Based Rehabilitation for Multiple Sclerosis Made Easy: The Online Applying Evidence with Confidence (APPECO) Platform.

Authors:  Martin Heine; Heleen Beckerman; Päivi Hämäläinen; Vincent de Groot
Journal:  Int J MS Care       Date:  2020-09-14

5.  Positive effects of fampridine on cognition, fatigue and depression in patients with multiple sclerosis over 2 years.

Authors:  Sarah D Broicher; Linard Filli; Olivia Geisseler; Nicole Germann; Björn Zörner; P Brugger; M Linnebank
Journal:  J Neurol       Date:  2018-02-20       Impact factor: 4.849

Review 6.  Managing Disability in Progressive Multiple Sclerosis.

Authors:  Divyanshu Dubey; Peter Sguigna; Olaf Stüve
Journal:  Curr Treat Options Neurol       Date:  2016-06       Impact factor: 3.598

Review 7.  Neurorehabilitation: applied neuroplasticity.

Authors:  Fary Khan; Bhasker Amatya; Mary P Galea; Roman Gonzenbach; Jürg Kesselring
Journal:  J Neurol       Date:  2016-10-24       Impact factor: 4.849

Review 8.  Exercise as Medicine in Multiple Sclerosis-Time for a Paradigm Shift: Preventive, Symptomatic, and Disease-Modifying Aspects and Perspectives.

Authors:  Ulrik Dalgas; Martin Langeskov-Christensen; Egon Stenager; Morten Riemenschneider; Lars G Hvid
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

Review 9.  [New aspects of symptomatic MS treatment: Part 5 - fatigue].

Authors:  T Henze; W Feneberg; P Flachenecker; D Seidel; H Albrecht; M Starck; S G Meuth
Journal:  Nervenarzt       Date:  2018-04       Impact factor: 1.214

Review 10.  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

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