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

Overview of attention for article published in Journal of Behavioral Medicine, May 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Citations

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27 Dimensions

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104 Mendeley
Title
Explaining fatigue in multiple sclerosis: cross-validation of a biopsychosocial model
Published in
Journal of Behavioral Medicine, May 2016
DOI 10.1007/s10865-016-9749-3
Pubmed ID
Authors

Melloney L. M. Wijenberg, Sven Z. Stapert, Sebastian Köhler, Yvonne Bol

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Colombia 1 <1%
Unknown 102 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 13%
Student > Ph. D. Student 12 12%
Researcher 12 12%
Student > Doctoral Student 11 11%
Student > Master 9 9%
Other 22 21%
Unknown 25 24%
Readers by discipline Count As %
Psychology 40 38%
Medicine and Dentistry 9 9%
Social Sciences 7 7%
Nursing and Health Professions 6 6%
Neuroscience 4 4%
Other 9 9%
Unknown 29 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 October 2016.
All research outputs
#7,499,805
of 24,829,155 outputs
Outputs from Journal of Behavioral Medicine
#476
of 1,145 outputs
Outputs of similar age
#111,793
of 345,149 outputs
Outputs of similar age from Journal of Behavioral Medicine
#6
of 16 outputs
Altmetric has tracked 24,829,155 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.