Cross sectional analyses indicated that body fat distribution was not associated with performance-based and self-reported outcomes among ambulatory people with multiple sclerosis

IF 3 3区医学 Q2 CLINICAL NEUROLOGY

Multiple sclerosis and related disorders Pub Date : 2026-05-01 Epub Date: 2026-02-17 DOI:10.1016/j.msard.2026.107084

Ariel Kidwell-Chandler, Brenda Jeng, Robert W. Motl

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引用次数: 0

Abstract

Background

Obesity is cited as a relevant factor in multiple sclerosis (MS). To date, there is inconsistent evidence regarding the relationship between total body fat and frequently studied outcomes in MS. Body fat distribution, or the location of adipose tissue and depots within the body, may represent a biologically meaningful correlate of MS-related outcomes.

Purpose

This exploratory study assessed whether dual-energy X-ray absorptiometry (DXA)-based body fat distribution metrics were associated with performance-based and self-reported outcomes of MS.

Methods

Fifty-seven ambulatory adults with MS underwent DXA to quantify visceral and subcutaneous adipose tissue; android- and gynoid- % fat mass; and android/gynoid ratio. Outcomes included performance-based (Timed Up and Go, Timed 25-Foot Walk, Six-Minute Walk) and self-reported assessments (Hospital Anxiety and Depression Scale anxiety and depression [HADS-D] sub-scales), Multiple Sclerosis Impact Scale physical [MSIS Physical] and psychological domains, Fatigue Severity Scale, and the short form of the McGill Pain Questionnaire). Spearman correlation assessed bivariate and partial (controlling for sex and age) associations.

Results

Correlations between body fat distribution metrics and performance-based and self-reported outcomes were generally small and not statistically significant. Gynoid % fat mass correlated with depressive symptoms (HADS-D: r_s = –.28, p = .033) and physical health-related quality of life (MSIS Physical: r_s = –.31, p = .018), but partial correlations were not statistically significant.

Conclusion

Our results did not support an association between body fat distribution and frequently studied MS-related outcomes. This aligns with research suggesting a limited role of adiposity and MS-related outcomes.

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横断面分析表明，在多发性硬化症患者中，体脂分布与基于表现和自我报告的结果无关。

背景：肥胖被认为是多发性硬化症（MS）的相关因素。迄今为止，关于全身脂肪总量与多发性硬化症经常研究的结果之间的关系，尚无不一致的证据。体脂分布，或脂肪组织和储存在体内的位置，可能代表了多发性硬化症相关结果的生物学意义相关。目的：本探索性研究评估了基于双能x线吸收仪（DXA）的体脂分布指标是否与MS的表现和自我报告的结果相关。方法：57名门诊MS患者接受DXA量化内脏和皮下脂肪组织；Android -和gyoid - %脂肪量；还有机器人/陀螺仪比率。结果包括基于表现的（计时起床和行走，计时25英尺步行，6分钟步行）和自我报告评估（医院焦虑和抑郁量表焦虑和抑郁量表[HADS-D]子量表），多发性硬化症影响量表身体[MSIS物理]和心理领域，疲劳严重程度量表和McGill疼痛问卷的简短形式)。Spearman相关性评估双变量和部分（控制性别和年龄）关联。结果：体脂分布指标与基于表现和自我报告的结果之间的相关性通常很小，没有统计学意义。Gynoid % fat mass与抑郁症状（HADS-D: rs = - 0.28, p = 0.033）和身体健康相关生活质量（MSIS - physical: rs = - 0.31, p = 0.018）相关，但部分相关无统计学意义。结论：我们的研究结果不支持身体脂肪分布与经常研究的ms相关结果之间的关联。这与肥胖和多发性硬化症相关结果的有限作用的研究一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Multiple sclerosis and related disorders CLINICAL NEUROLOGY-

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.