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◆ Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026-08-27

Fatigue and contributing factors in relapsing-remitting multiple sclerosis: a descriptive study based on the comprehensive fatigue assessment battery for multiple sclerosis (CFAB-MS).

Sina Naghilou, Seyedeh Farinaz Fattahpour, Shahriar Parvaneh, Sarvin Sanaie, Reza Mosaddeghi-Heris, Malihe Talebi, Mahnaz Talebi, Amirreza Naseri

一句话结论

Factors such as age, EDSS, pain, sleep problems, stress, mood, anxiety and worry, nutrition, mobility, and environment are associated with fatigue in RRMS patients with EDSS < 4, which should be considered by clinicians to achieve appropriate management of fatigue in this population.

原始摘要(原文)
INTRODUCTION: Multiple sclerosis (MS) is a demyelinating disease of the central nervous system. The Comprehensive Fatigue Assessment Battery for Multiple Sclerosis (CFAB-MS) is a questionnaire designed to assess fatigue and its contributing factors, including sleep, pain, mobility, stress, anxiety, mood, and fatigue management skills. METHODS: In this cross-sectional descriptive study, patients with a definitive diagnosis of relapsing-remitting MS (RRMS) and Expanded Disability Status Scale (EDSS) < 4, based on the MacDonald 2017 criteria, were included. Patients with diagnosed depression, other neurological disorders, or progressive forms of MS were excluded. CFAB-MS was used to evaluate fatigue and its related factors. SPSS software version 23 and PRISM 9 were used for statistical evaluations. RESULTS: A total of 123 patients with RRMS participated in this study. The average age was 34.12 ± 8.61. Of the total number of patients, 92 (74.8%) were women and 31 (25.2%) were men. The most common issues in the study population were anxiety and worry, fatigue, and stress. EDSS was correlated with fatigue (correlation r: 0.331; p-value < 0.001), pain (correlation r: 0.187; p-value: 0.040), stress (correlation r: 0.186; p-value: 0.041), anxiety (correlation r: 0.206; p-value: 0.023), and walking disability (correlation r: 0.376; p-value < 0.001) VAS. Physical, Psychological, and Social Fatigue Index was correlated to all results obtained with the VAS (p-values < 0.05). CONCLUSION: Factors such as age, EDSS, pain, sleep problems, stress, mood, anxiety and worry, nutrition, mobility, and environment are associated with fatigue in RRMS patients with EDSS < 4, which should be considered by clinicians to achieve appropriate management of fatigue in this population.
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Fatigue and contributing factors in relapsing-remitting multiple sclerosis: a descriptive study based on the comprehensive fatigue assessment battery for multiple sclerosis (CFAB-MS). — 科研速览 Science Skim