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pmid: 19329276
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.
Adult, Male, Multiple Sclerosis, Depression, Pain, Motor Activity, Self Efficacy, Socioeconomic Factors, Humans, Female, Fatigue
Adult, Male, Multiple Sclerosis, Depression, Pain, Motor Activity, Self Efficacy, Socioeconomic Factors, Humans, Female, Fatigue
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% |