Literature DB >> 27236455

Explaining fatigue in multiple sclerosis: cross-validation of a biopsychosocial model.

Melloney L M Wijenberg1,2, Sven Z Stapert1,2, Sebastian Köhler3, Yvonne Bol4.   

Abstract

Fatigue is a common and disabling symptom in patients with multiple sclerosis (MS), but its pathogenesis is still poorly understood and consequently evidence-based treatment options are limited. Bol et al. (J Behav Med 33(5):355-363, 2010) suggested a new model, which explains fatigue in MS from a biopsychosocial perspective, including cognitive-behavioral factors. For purposes of generalization to clinical practice, cross-validation of this model in another sample of 218 patients with MS was performed using structural equation modeling. Path analysis indicated a close and adequate global fit (RMSEA = 0.053 and CFI = 0.992). The cross-validated model indicates a significant role for disease severity, depression and a fear-avoidance cycle in explaining MS-related fatigue. Modifiable factors, such as depression and catastrophizing thoughts, propose targets for treatment options. Our findings are in line with recent evidence for the effectiveness of a new generation of cognitive behavioral therapy, including acceptance and mindfulness-based interventions, and provide a theoretical framework for treating fatigue in MS.

Entities:  

Keywords:  Biopsychosocial model; Catastrophizing; Fatigue; Multiple sclerosis; Physical disability; Structural equation modelling

Mesh:

Year:  2016        PMID: 27236455     DOI: 10.1007/s10865-016-9749-3

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  37 in total

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Authors:  Aglaia M E E Zedlitz; Toni C M Rietveld; Alexander C Geurts; Luciano Fasotti
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Journal:  J Psychosom Res       Date:  2006-11       Impact factor: 3.006

Review 3.  Amantadine for fatigue in multiple sclerosis.

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Journal:  Cochrane Database Syst Rev       Date:  2007-01-24

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Journal:  J Clin Epidemiol       Date:  1998-11       Impact factor: 6.437

5.  Which cognitions and behaviours mediate the positive effect of cognitive behavioural therapy on fatigue in patients with multiple sclerosis?

Authors:  H Knoop; K van Kessel; R Moss-Morris
Journal:  Psychol Med       Date:  2011-06-15       Impact factor: 7.723

6.  An examination of four models predicting fatigue in multiple sclerosis.

Authors:  Lauren B Strober; Peter A Arnett
Journal:  Arch Clin Neuropsychol       Date:  2005-07       Impact factor: 2.813

7.  Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients.

Authors:  Kimia Honarmand; Anthony Feinstein
Journal:  Mult Scler       Date:  2009-11-13       Impact factor: 6.312

8.  Fatigue and physical disability in patients with multiple sclerosis: a structural equation modeling approach.

Authors:  Yvonne Bol; Annelien A Duits; Richel Lousberg; Raymond M M Hupperts; Michelle H P Lacroix; Frans R J Verhey; Johan W S Vlaeyen
Journal:  J Behav Med       Date:  2010-05-28

9.  Multiple sclerosis.

Authors:  Alastair Compston; Alasdair Coles
Journal:  Lancet       Date:  2008-10-25       Impact factor: 79.321

10.  A randomized controlled trial of cognitive behavior therapy for multiple sclerosis fatigue.

Authors:  Kirsten van Kessel; Rona Moss-Morris; Ernest Willoughby; Trudie Chalder; Malcolm H Johnson; Elizabeth Robinson
Journal:  Psychosom Med       Date:  2008-02-06       Impact factor: 4.312

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3.  Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study.

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Review 4.  Fatigue, depression, and pain in multiple sclerosis: How neuroinflammation translates into dysfunctional reward processing and anhedonic symptoms.

Authors:  Henrik Heitmann; Till F M Andlauer; Thomas Korn; Mark Mühlau; Peter Henningsen; Bernhard Hemmer; Markus Ploner
Journal:  Mult Scler       Date:  2020-11-12       Impact factor: 5.855

  4 in total

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