IF 2.9 3区 医学 Q2 CLINICAL NEUROLOGY
Christopher J. Cagna , Ekaterina Dobryakova , Erica Weber , Diana Maloku , Nancy D. Chiaravalloti , Helen M. Genova , Silvana L. Costa , John DeLuca
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引用次数: 0

摘要

背景认知障碍和疲劳是多发性硬化症(MS)的两种常见症状。疲劳通常被认为与处理速度较慢有关。符号数字模型测试(SDMT)是一种广泛使用的多发性硬化症处理速度评估方法,但也被证明可以挖掘工作记忆。关于疲劳对多发性硬化症患者 SDMT 表现的影响以及这种关系的潜在机制还缺乏研究。本研究考察了特质疲劳对多发性硬化症和健康对照组(HC)参与者的 SDMT 表现的影响及其相关机制。鉴于工作记忆的表现经常与多发性硬化症患者的处理速度相关,本研究特别将工作记忆的表现作为一种潜在机制进行了研究。方法在一项辅助数据分析中,研究人员对 80 名多发性硬化症患者和 45 名健康对照组患者进行了 SDMT 和其他神经心理学评估,并对他们自我报告的特质性疲劳进行了研究。结果MS患者较高的MFIS评分与较差的SDMT表现显著相关(r=-0.33,p=.002),而HC患者则不然(r=0.06,p=.71)。中介分析进一步显示,对于多发性硬化症患者来说,工作记忆能力(WAIS-IV 数字跨度后向条件)部分中介了特质疲劳与 SDMT 成绩之间的关系。MFIS 分数越高,则数字跨度后向得分越低(b = -0.04,95 % CI:[-0.08, -0.002],p = .04),反过来,MFIS 分数越高,则 SDMT 反应准确性越低(b = 0.23,95 % CI:[0.10, 0.35],p = .001)。结论特质性疲劳的增加可能会对多发性硬化症患者的工作记忆能力产生负面影响,从而降低他们的SDMT成绩。未来的研究应重点关注可能导致这种关系的其他因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
CiteScore
5.80
自引率
20.00%
发文量
814
审稿时长
66 days
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.
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