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Journal of Pain and Symptom Management
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Journal of Pain and Symptom Management
Article . 2009 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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symptom cluster as a predictor of physical activity in multiple sclerosis preliminary evidence

Authors: Edward McAuley; Robert W. Motl;

symptom cluster as a predictor of physical activity in multiple sclerosis preliminary evidence

Abstract

The present study examined the symptom cluster of fatigue, pain, and depression, and its direct and indirect prediction of physical activity behavior in a sample of individuals with multiple sclerosis (MS) using a prospective research design and the Theory of Unpleasant Symptoms. The sample included 292 individuals with a definite diagnosis of MS. The participants completed self-report measures of fatigue, depression, pain, self-efficacy, and functional limitations at baseline and six months later, wore an accelerometer for seven days and completed a self-report measure of physical activity behavior. The data analysis indicated that: 1) fatigue, depression, and pain represented a symptom cluster; 2) the symptom cluster had a strong and negative predictive relationship with physical activity behavior; and 3) functional limitations, but not self-efficacy, accounted for the predictive relationship between the symptom cluster and physical activity behavior. Such findings provide preliminary support to the importance of considering symptom clusters as a meaningful correlate of physical activity behavior in persons with MS.

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Keywords

Adult, Male, Multiple Sclerosis, Depression, Pain, Motor Activity, Self Efficacy, Socioeconomic Factors, Humans, Female, Fatigue

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    62
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 10%
Top 10%
Top 10%
hybrid
Related to Research communities
Neuroscience