Literature DB >> 12959358

Measuring fatigue in people with multiple sclerosis.

S Y Chipchase1, N B Lincoln, K A Radford.   

Abstract

OBJECTIVE: To compare methods of assessing fatigue.
DESIGN: Cross sectional.
SETTING: Community.
SUBJECTS: Forty Multile Sclerosis (MS) patients and 20 healthy controls. MAIN OUTCOME MEASURES: Fatigue questionnaires, SDSA dot cancellation test, finger tapping test, TEA Lottery.
RESULTS: The MS patients had significantly higher levels of fatigue than the controls on the Task Induced Fatigue Scale, Fatigue Severity Scale and Fatigue Impact Scale. The Task Induced Fatigue Scale completed whilst imagining oneself driving and the Fatigue Assessment Instrument did not differentiate between MS patients and controls. Finger tapping differentiated between MS patients and controls but there was no significant difference between MS patients and controls on visual and auditory concentration tests. A factor analysis indicated that questionnaire measures of fatigue were interrelated but independent of objective test performance.
CONCLUSIONS: Questionnaire measures can be used to assess fatigue in people with MS. The FSS differentiated MS patients from controls and is relatively short. It was therefore recommended for clinical use.

Entities:  

Mesh:

Year:  2003        PMID: 12959358     DOI: 10.1080/0963828031000093477

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  8 in total

1.  A novel approach to estimate the minimally important difference for the Fatigue Impact Scale in multiple sclerosis patients.

Authors:  Regina Rendas-Baum; Min Yang; Francoise Cattelin; Gene V Wallenstein; John D Fisk
Journal:  Qual Life Res       Date:  2010-07-10       Impact factor: 4.147

2.  Loss of laterality in chronic cocaine users: an fMRI investigation of sensorimotor control.

Authors:  Colleen A Hanlon; Michael J Wesley; Alicia J Roth; Mack D Miller; Linda J Porrino
Journal:  Psychiatry Res       Date:  2010-01-30       Impact factor: 3.222

Review 3.  Self-report fatigue questionnaires in multiple sclerosis, Parkinson's disease and stroke: a systematic review of measurement properties.

Authors:  Roy G Elbers; Marc B Rietberg; Erwin E H van Wegen; John Verhoef; Sharon F Kramer; Caroline B Terwee; Gert Kwakkel
Journal:  Qual Life Res       Date:  2011-10-20       Impact factor: 4.147

4.  A rapid screening tool for fatigue impact in multiple sclerosis.

Authors:  Daphne Kos; Guy Nagels; Marie B D'Hooghe; Marijke Duportail; Eric Kerckhofs
Journal:  BMC Neurol       Date:  2006-08-17       Impact factor: 2.474

5.  Effect of combination exercise therapy on walking distance, postural balance, fatigue and quality of life in multiple sclerosis patients: a clinical trial study.

Authors:  Bahram Sangelaji; Seyed Massood Nabavi; Fatemeh Estebsari; Mohammad Reza Banshi; Hamideh Rashidian; Ensiyeh Jamshidi; Maryam Dastoorpour
Journal:  Iran Red Crescent Med J       Date:  2014-06-05       Impact factor: 0.611

6.  A combined exercise model for improving muscle strength, balance, walking distance, and motor agility in multiple sclerosis patients: A randomized clinical trial.

Authors:  Bahram Sangelaji; Mohammadreza Kordi; Farzaneh Banihashemi; Seyed Massood Nabavi; Sara Khodadadeh; Maryam Dastoorpoor
Journal:  Iran J Neurol       Date:  2016-07-06

7.  Mobile Technology Use by People Experiencing Multiple Sclerosis Fatigue: Survey Methodology.

Authors:  Kirsten Van Kessel; Duncan R Babbage; Nicholas Reay; Warren M Miner-Williams; Paula Kersten
Journal:  JMIR Mhealth Uhealth       Date:  2017-02-28       Impact factor: 4.773

8.  Which exercise and behavioural interventions show most promise for treating fatigue in multiple sclerosis? A network meta-analysis.

Authors:  Anthony M Harrison; Reza Safari; Tom Mercer; Federica Picariello; Marietta L van der Linden; Claire White; Rona Moss-Morris; Sam Norton
Journal:  Mult Scler       Date:  2021-04-20       Impact factor: 6.312

  8 in total

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