Defining the Predictors of Fatigue in People with Multiple Sclerosis
Abstract
Objective: This study aimed to define the predictors of fatigue in people with multiple sclerosis (MS, pwMS) by evaluating clinical and demographic factors, including disability level, physical performance, sleepiness, and depression. Material and Methods: A total of 747 pwMS were included in this cross-sectional study. Fatigue was assessed using the Modified Fatigue Impact Scale (MFIS), and multiple linear regression analyses were performed to determine the predictors of fatigue based on total MFIS and its subdomains (physical, cognitive, psychosocial). Independent variables included age, disease duration, number of relapses, number of disease-modifying therapies (DMTs), Expanded Disability Status Scale (EDSS) score, Timed 25-Foot Walk (T25FW), Nine-Hole Peg Test (N-HPT), Epworth Sleepiness Scale (ESS), and Beck Depression Inventory (BDI). Results: Higher fatigue scores were significantly associated with increased EDSS scores (β=0.191, p
Fields of Study & Subjects
Multiple Sclerosis Research Studies
Cancer survivorship and care
Balance
Gait
and Falls Prevention
Publication details
- Journal / source
- İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi
- Volume
- 11
- Issue
- 1
- Pages
- 7–12
- Publication date
- 27 January 2026