Christopher J. Cagna , Ekaterina Dobryakova , Erica Weber , Diana Maloku , Nancy D. Chiaravalloti , Helen M. Genova , Silvana L. Costa , John DeLuca
{"title":"Trait fatigue impacts Symbol Digit Modalities Test (SDMT) performance in multiple sclerosis: The role of working memory","authors":"Christopher J. Cagna , Ekaterina Dobryakova , Erica Weber , Diana Maloku , Nancy D. Chiaravalloti , Helen M. Genova , Silvana L. Costa , John DeLuca","doi":"10.1016/j.msard.2025.106369","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Cognitive impairment and fatigue are two prevalent symptoms of multiple sclerosis (MS). Fatigue is often thought to be associated with slower processing speed. The Symbol Digit Modalities Test (SDMT) is a widely used assessment of processing speed in MS, but it has also been shown to tap into working memory as well. Investigation into fatigue's influence on SDMT performance in MS and potential mechanisms for this relationship are lacking. The present study examined the effect of trait fatigue on SDMT performance and its associated mechanisms in MS and healthy control (HC) participants. Working memory performance was specifically examined as a potential mechanism, given its frequent association with processing speed in MS.</div></div><div><h3>Methods</h3><div>In a secondary data analysis, performance on the SDMT and other neuropsychological assessments, as well as self-reported trait fatigue, were examined in 80 MS and 45 HC participants. Trait fatigue was measured via self-report on the Modified Fatigue Impact Scale (MFIS).</div></div><div><h3>Results</h3><div>Higher MFIS ratings were significantly associated with worse SDMT performance in MS (<em>r</em> = -0.33, <em>p</em> = .002), but not HC (<em>r</em>= 0.06, <em>p</em> = .71), participants. A mediation analysis further revealed that for MS participants, working memory performance (WAIS-IV Digit Span Backward condition) partially mediated the relationship between trait fatigue and SDMT performance. Higher MFIS scores significantly predicted lower Digit Span Backward scores (<em>b</em> = -0.04, <em>95</em> % <em>CI</em>: [-0.08, -0.002], <em>p</em> = .04], which in turn, significantly predicted lower SDMT response accuracy (<em>b</em> = 0.23, <em>95</em> % <em>CI</em>: [0.10, 0.35], <em>p</em> = .001). No such relationship was observed in HC participants.</div></div><div><h3>Conclusions</h3><div>Elevated trait fatigue may reduce SDMT performance via its negative impact on working memory performance in people with MS. Future research should focus on additional factors that may also contribute to this relationship.</div></div>","PeriodicalId":18958,"journal":{"name":"Multiple sclerosis and related disorders","volume":"96 ","pages":"Article 106369"},"PeriodicalIF":2.9000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multiple sclerosis and related disorders","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211034825001117","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Trait fatigue impacts Symbol Digit Modalities Test (SDMT) performance in multiple sclerosis: The role of working memory
Background
Cognitive impairment and fatigue are two prevalent symptoms of multiple sclerosis (MS). Fatigue is often thought to be associated with slower processing speed. The Symbol Digit Modalities Test (SDMT) is a widely used assessment of processing speed in MS, but it has also been shown to tap into working memory as well. Investigation into fatigue's influence on SDMT performance in MS and potential mechanisms for this relationship are lacking. The present study examined the effect of trait fatigue on SDMT performance and its associated mechanisms in MS and healthy control (HC) participants. Working memory performance was specifically examined as a potential mechanism, given its frequent association with processing speed in MS.
Methods
In a secondary data analysis, performance on the SDMT and other neuropsychological assessments, as well as self-reported trait fatigue, were examined in 80 MS and 45 HC participants. Trait fatigue was measured via self-report on the Modified Fatigue Impact Scale (MFIS).
Results
Higher MFIS ratings were significantly associated with worse SDMT performance in MS (r = -0.33, p = .002), but not HC (r= 0.06, p = .71), participants. A mediation analysis further revealed that for MS participants, working memory performance (WAIS-IV Digit Span Backward condition) partially mediated the relationship between trait fatigue and SDMT performance. Higher MFIS scores significantly predicted lower Digit Span Backward scores (b = -0.04, 95 % CI: [-0.08, -0.002], p = .04], which in turn, significantly predicted lower SDMT response accuracy (b = 0.23, 95 % CI: [0.10, 0.35], p = .001). No such relationship was observed in HC participants.
Conclusions
Elevated trait fatigue may reduce SDMT performance via its negative impact on working memory performance in people with MS. Future research should focus on additional factors that may also contribute to this relationship.
期刊介绍:
Multiple Sclerosis is an area of ever expanding research and escalating publications. Multiple Sclerosis and Related Disorders is a wide ranging international journal supported by key researchers from all neuroscience domains that focus on MS and associated disease of the central nervous system. The primary aim of this new journal is the rapid publication of high quality original research in the field. Important secondary aims will be timely updates and editorials on important scientific and clinical care advances, controversies in the field, and invited opinion articles from current thought leaders on topical issues. One section of the journal will focus on teaching, written to enhance the practice of community and academic neurologists involved in the care of MS patients. Summaries of key articles written for a lay audience will be provided as an on-line resource.
A team of four chief editors is supported by leading section editors who will commission and appraise original and review articles concerning: clinical neurology, neuroimaging, neuropathology, neuroepidemiology, therapeutics, genetics / transcriptomics, experimental models, neuroimmunology, biomarkers, neuropsychology, neurorehabilitation, measurement scales, teaching, neuroethics and lay communication.