Longitudinal correlates of fatigue in multiple sclerosis.
Abstract
Objective To determine the predictors of longitudinal changes in fatigue based on pain, mood, and neurological impairment across multiple sclerosis (MS) subtypes. Background Fatigue is the most common symptom of MS but remains poorly understood. The New York State Multiple Sclerosis Consortium (NYSMSC) database offers a unique opportunity to longitudinally assess a variety of potential fatigue correlates in a very large and diverse MS sample. Design/Methods This study examined baseline and 1-year follow-up data on 2768 patients drawn from the NYSMSC database regarding fatigability, pain, depressive symptoms, MS subtype, and expanded disability status scale (EDSS). Correlates and predictors of fatigue were assessed in correlational and multiple regression analyses. Results Baseline fatigue, pain, and depression accounted for 34.6% of the variance in 1-year follow-up fatigue scores. Fatigue was lower in relapsing–remitting subjects than in other MS subtypes. Fatigue consistently correlated at baseline and follow-up with depressive symptoms, pain severity, and EDSS. Changes in fatigue correlated with changes in other variables. Conclusions Predictors of fatigue at 1 year include baseline fatigue, pain, mood, and EDSS. These symptoms are also correlated at baseline, follow-up, and in change scores. Identifying predictors of fatigue may facilitate patient management.
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Depression in multiple sclerosis is strongly related to lower quality of life, cognitive dysfunction, elevated suicide risk and fatigue.
“It has also been shown that depression in MS is strongly related to lower quality of life, cognitive dysfunction, elevated suicide risk and fatigue (Fruehwald et al., 2001; Brown et al., 2009; Patrick et al., 2009; Fiest et al., 2016; Boeschoten et al., 2017), which is one of the most commonly reported and debilitating symptoms of MS (Wallin et al., 2006).”
From The effectiveness of a body-affective mindfulness intervention for multiple sclerosis patients with depressive symptoms: A randomized controlled clinical trial (2017) · cites this paper as Patrick et al., 2009
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- Authors
- Patrick, E., Christodoulou, C., Krupp, L., & on behalf of the New York State MS Consortium
- Affiliations
- State University of New York (US)
- Department of Neurology, State University of New York at Stony Brook, New York, USA
- ORCID
- Christodoulou, C
- Venue
- Multiple Sclerosis Journal
- Publisher
- SAGE Publications
- Published
- 2008-10-09
- Volume
- 15
- Issue
- 2
- Pages
- 258-261
- ISSN
- 1352-4585 (ISSN-L)
- 1477-0970
- OpenAlex
- W2007111199
- Cited by
- 122
- References
- 19
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 3 · 2022: 9 · 2021: 6 · 2020: 7 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 14 · 2015: 9 · 2014: 8 · 2013: 8 · 2012: 7
- FWCI
- 5.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Multiple Sclerosis Journal (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Multiple Sclerosis Society
- Teva Pharmaceutical Industries
- National Center for Research Resources (M01RR010710, 5M01-RR-10710)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Medicine › Psychiatry and Mental health › Fibromyalgia and Chronic Fatigue Syndrome Research
- Keywords
- multiple sclerosis, fatigue, predictors of fatigue, pain, depressive symptoms, mood, neurological deficit, Expanded Disability Status Scale, relapsing-remitting multiple sclerosis, disease subtypes, longitudinal change
- MeSH terms
- Adult, Affect, Depression, Fatigue, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Middle Aged, Pain, Quality of Life, Regression Analysis, Multiple Sclerosis, Chronic Progressive, Multiple Sclerosis, Relapsing-Remitting
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