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Predictors of fatigue self-management behaviors in adults with multiple sclerosis
Emily Wang1, Julia H C Chang2, Matthew Plow2
1Loyola University of Chicago Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Background:
Fatigue is one of the most common and disabling symptoms in people with multiple sclerosis (MS). Fatigue self-management behaviors may be effective in reducing the impact of fatigue in people with MS. However, few studies have examined the factors that influence engagement in fatigue self-management behaviors.
Objective:
Identify factors that directly and indirectly influence fatigue self-management behaviors.
Methods:
Participants with MS (n = 287) completed online questionnaires at baseline and 6-weeks. Guided by the Self- and Family Management Framework, we examined the influence of health status, resources and environment, healthcare utilization, and self-management processes on fatigue self-management behaviors at 6-weeks. Multiple regression and path analyses were conducted.
Results:
The final regression model variables accounted for 41.58% of the variance in fatigue self-management behaviors, which included outcome expectations (β= 0.287), disability (β= 0.265), environmental barriers (β= 0.188), self-efficacy (β= 0.153), symptom severity (β= 0.113), living in an urban community (β= -0.108), and living alone (β= 0.103). Path analysis indicated that outcome expectations may mediate the relationship between disability levels and fatigue self-management behavior.
Conclusions:
Health status (i.e., disability and symptom severity), environmental factors (e.g., living situation), and self-management processes (i.e., self-efficacy and outcome expectations) may play an important role in influencing engagement in fatigue self-management behaviors.
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