Literature DB >> 17503131

Qualitative and quantitative assessment of fatigue in multiple sclerosis (MS).

Brigitte Greim1, Reiner Benecke, Uwe K Zettl.   

Abstract

It was the aim of the present study to develop a synoptic multidimensional test system for assessment of fatigue in multiple sclerosis (MS) patients objectifying physical and mental fatigue as well as the subjective and objective standpoint in these two fatigue forms. Seventy nine patients with relapsing remitting multiple sclerosis (RRMS) and 51 age-matched healthy controls (H) were analysed by means of the physical fatigue test (hand dynamometer) and an objective mental fatigue test (vigilance test from the computerised Test Battery for Attentional Performance). Furthermore, subjective tiredness caused by test procedures, subjective persisting tiredness (Modified Fatigue Impact Scale; MFIS: physical and cognitive scale) and mood (Beck Depression Inventory; BDI-18) were analysed.MS patients differed significantly from the controls in their objective physical and mental performance under fatigue, as well as in their subjective estimation of tiredness. MS patients showed an inverse relationship between below-average objective performance and high subjective feeling of tiredness when compared to controls. Subjectively severely tired MS patients achieved clearly poorer performances on the hand dynamometer test and slightly poorer performances on the vigilance test when compared to subjectively rarely tired MS patients. Depressed MS patients estimated their subjective tiredness in the MFIS significantly higher than non-depressed MS patients, but attained the same objective performance. This set of standardised tests enables meaningful comparisons between objective fatigue performance and subjective fatigue estimations in the physical and mental sphere and considers the influence of depression. Depression affects the subjective tiredness but not the objective fatigue performance.

Entities:  

Mesh:

Year:  2007        PMID: 17503131     DOI: 10.1007/s00415-007-2014-5

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  27 in total

1.  Fatigue and declines in cognitive functioning in multiple sclerosis.

Authors:  L B Krupp; L E Elkins
Journal:  Neurology       Date:  2000-10-10       Impact factor: 9.910

2.  Making the diagnosis of multiple sclerosis.

Authors:  J Palace
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-12       Impact factor: 10.154

3.  Modalities of fatigue in multiple sclerosis: correlation with clinical and biological factors.

Authors:  J Iriarte; M L Subirá; P Castro
Journal:  Mult Scler       Date:  2000-04       Impact factor: 6.312

4.  Identification of Beck Depression Inventory items related to multiple sclerosis.

Authors:  D C Mohr; D E Goodkin; W Likosky; L Beutler; N Gatto; M K Langan
Journal:  J Behav Med       Date:  1997-08

5.  Correlation between symptom fatigue and muscular fatigue in multiple sclerosis.

Authors: 
Journal:  Eur J Neurol       Date:  1998-11       Impact factor: 6.089

6.  Development of a fatigue scale.

Authors:  T Chalder; G Berelowitz; T Pawlikowska; L Watts; S Wessely; D Wright; E P Wallace
Journal:  J Psychosom Res       Date:  1993       Impact factor: 3.006

7.  Fatigue in multiple sclerosis.

Authors:  L B Krupp; L A Alvarez; N G LaRocca; L C Scheinberg
Journal:  Arch Neurol       Date:  1988-04

8.  Quantitative assessment of motor fatigue and strength in MS.

Authors:  S R Schwid; C A Thornton; S Pandya; K L Manzur; M Sanjak; M D Petrie; M P McDermott; A D Goodman
Journal:  Neurology       Date:  1999-09-11       Impact factor: 9.910

9.  Cognitive fatigue during a test requiring sustained attention: a pilot study.

Authors:  Steven R Schwid; Carolyn M Tyler; Eileen A Scheid; Amy Weinstein; Andrew D Goodman; Michael P McDermott
Journal:  Mult Scler       Date:  2003-10       Impact factor: 6.312

Review 10.  Fatigue in neurological disorders.

Authors:  Abhijit Chaudhuri; Peter O Behan
Journal:  Lancet       Date:  2004-03-20       Impact factor: 79.321

View more
  11 in total

1.  The development and testing of an instrument for perceived self-efficacy for fatigue self-management.

Authors:  Amy J Hoffman; Alexander von Eye; Audrey G Gift; Barbara A Given; Charles W Given; Marilyn Rothert
Journal:  Cancer Nurs       Date:  2011 May-Jun       Impact factor: 2.592

2.  Psychometric properties of the modified fatigue impact scale.

Authors:  Rebecca D Larson
Journal:  Int J MS Care       Date:  2013

Review 3.  Relationship between perceived fatigue and performance fatigability in people with multiple sclerosis: A systematic review and meta-analysis.

Authors:  Bryan D Loy; Ruby L Taylor; Brett W Fling; Fay B Horak
Journal:  J Psychosom Res       Date:  2017-06-27       Impact factor: 3.006

4.  Independent effect of fatigue on health-related quality of life in patients with idiopathic Parkinson's disease.

Authors:  Vasfiye Burcu Dogan; Ayhan Koksal; Ayten Dirican; Sevim Baybas; Ahmet Dirican; Gulsum Buse Dogan
Journal:  Neurol Sci       Date:  2015-07-22       Impact factor: 3.307

Review 5.  [Therapy of fatigue in multiple sclerosis : A treatment algorithm].

Authors:  C Veauthier; F Paul
Journal:  Nervenarzt       Date:  2016-12       Impact factor: 1.214

6.  Difference in Motor Fatigue between Patients with Stroke and Patients with Multiple Sclerosis: A Pilot Study.

Authors:  Aida Sehle; Manfred Vieten; Annegret Mündermann; Christian Dettmers
Journal:  Front Neurol       Date:  2014-12-22       Impact factor: 4.003

Review 7.  The Berlin Treatment Algorithm: recommendations for tailored innovative therapeutic strategies for multiple sclerosis-related fatigue.

Authors:  Christian Veauthier; Helge Hasselmann; Stefan M Gold; Friedemann Paul
Journal:  EPMA J       Date:  2016-11-24       Impact factor: 6.543

8.  Counteracting Fatigue in Multiple Sclerosis with Right Parietal Anodal Transcranial Direct Current Stimulation.

Authors:  Katrin Hanken; Mona Bosse; Kim Möhrke; Paul Eling; Andreas Kastrup; Andrea Antal; Helmut Hildebrandt
Journal:  Front Neurol       Date:  2016-09-21       Impact factor: 4.003

9.  Fatigue and Sleep in Multiple Sclerosis Patients: A Comparison of Self-Report and Performance-Based Measures.

Authors:  Madlen Paucke; Simone Kern; Tjalf Ziemssen
Journal:  Front Neurol       Date:  2018-01-04       Impact factor: 4.003

10.  Neuroimaging evidence of brain abnormalities in mastocytosis.

Authors:  N Boddaert; A Salvador; M O Chandesris; H Lemaître; D Grévent; C Gauthier; O Naggara; S Georgin-Lavialle; D S Moura; F Munsch; N Jaafari; M Zilbovicius; O Lortholary; R Gaillard; O Hermine
Journal:  Transl Psychiatry       Date:  2017-08-08       Impact factor: 6.222

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.