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Cited by 122Multiple Sclerosis Research StudiesCancer survivorship and careFibromyalgia and Chronic Fatigue Syndrome Research

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Longitudinal correlates of fatigue in multiple sclerosis.

Patrick, E, Christodoulou, C, Krupp, LB, on behalf of the New York State MS Consortium·2009·Multiple Sclerosis Journal
DOI 10.1177/1352458508097466
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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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Crossref · 10.1177/1352458508097466

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Metadata

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
DOI
10.1177/1352458508097466
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
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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 › Clinical Neurology › 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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