Perceived and actual arm performance in multiple sclerosis: relationship with clinical tests according to hand dominance

Author:

Lamers Ilse12,Kerkhofs Lore3,Raats Joke4,Kos Daphne5,Van Wijmeersch Bart123,Feys Peter12

Affiliation:

1. BIOMED Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium

2. REVAL Rehabilitation Research Center, PHL University College, Hasselt, Belgium

3. Rehabilitation and MS Center, Overpelt, Belgium

4. De Mick, Rehabilitation Center, Brasschaat, Belgium

5. Department of Rehabilitation Sciences, KU Leuven, Heverlee, Belgium

Abstract

Background: The real-life relevance of frequently applied clinical arm tests is not well known in multiple sclerosis (MS). Objective: This study aimed to determine the relation between real-life arm performance and clinical tests in MS. Methods: Thirty wheelchair-bound MS patients and 30 healthy controls were included. Actual and perceived real-life arm performance was measured by using accelerometry and a self-reported measure (Motor Activity Log). Clinical tests on ‘body functions & structures’ (JAMAR handgrip strength, Motricity Index (MI), Fugl Meyer (FM)) and ‘activity’ level (Nine Hole Peg Test (NHPT), Action Research Arm test) of the International Classification of Functioning were conducted. Statistical analyses were performed separately for current dominant and non-dominant arm. Results: For all outcome measures, MS patients scored with both arms significantly lower than the control group. Higher correlations between actual arm performance and clinical tests were found for the non-dominant arm (0.63–0.80). The FM (55%) was a good predictor of actual arm performance, while the MI (46%) and NHPT (55%) were good predictors of perceived arm performance. Conclusions: Real-life arm performance is decreased in wheelchair-bound MS patients and can be best predicted by measures on ‘body functions & structures’ level and fine motor control. Hand dominance influenced the magnitude of relationships.

Publisher

SAGE Publications

Subject

Clinical Neurology,Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3