{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:46:12Z","timestamp":1777891572841,"version":"3.51.4"},"reference-count":47,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["NRE"],"published-print":{"date-parts":[[2022,1,31]]},"abstract":"<jats:p>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\u200a=\u200a287) 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 (\u03b2=\u200a0.287), disability (\u03b2=\u200a0.265), environmental barriers (\u03b2=\u200a0.188), self-efficacy (\u03b2=\u200a0.153), symptom severity (\u03b2=\u200a0.113), living in an urban community (\u03b2=\u200a\u20130.108), and living alone (\u03b2=\u200a0.103). 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.<\/jats:p>","DOI":"10.3233\/nre-210179","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T13:07:18Z","timestamp":1640092038000},"page":"75-87","source":"Crossref","is-referenced-by-count":4,"title":["Predictors of fatigue self-management behaviors in adults with multiple sclerosis"],"prefix":"10.1177","volume":"50","author":[{"given":"Emily","family":"Wang","sequence":"first","affiliation":[{"name":"Loyola University of Chicago Stritch School of Medicine, Loyola University Chicago, Maywood, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julia H.C.","family":"Chang","sequence":"additional","affiliation":[{"name":"Frances Payne Bolton School of 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