Literature DB >> 21347506

Arm use in patients with subacute stroke monitored by accelerometry: association with motor impairment and influence on self-dependence.

Gyrd Thrane1, Nina Emaus, Torunn Askim, Audny Anke.   

Abstract

OBJECTIVE: To assess the effect of arm motor impairment on actual arm use in the early post-stroke period and explore its association with self-care dependency.
SUBJECTS: Thirty-one patients recruited within the 30 first days after stroke.
METHODS: Motor impairment of the upper extremity was measured with Fugl-Meyer Motor Assessment (FMA) and arm use was measured with accelerometry. Arm movement ratio (AMR), the ratio of arm use duration between the more and less affected arm, was calculated. Self-care dependency was defined as needing personal assistance in primary self-care activities.
RESULTS: FMA of the more affected arm was strongly associated with AMR (Spearman's correlation coefficient -0.851, p>0.001), although some patients deviated considerably from the regression line. Covariates did not have any influence on this relation. Both arm motor function and actual arm use related to self-care dependency, but were no longer significant when we controlled for lower extremity motor function.
CONCLUSION: FMA and AMR correlated highly in the early post-stroke period. These measures relate to different dimensions of the International Classification of Functioning and Health, and could be supplementary measures to reveal non-use of the affected arm. Arm use and arm impairment were not significantly associated with self-care dependency in our sample.

Entities:  

Mesh:

Year:  2011        PMID: 21347506     DOI: 10.2340/16501977-0676

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  26 in total

1.  Hemispheric specialization for movement control produces dissociable differences in online corrections after stroke.

Authors:  Sydney Y Schaefer; Pratik K Mutha; Kathleen Y Haaland; Robert L Sainburg
Journal:  Cereb Cortex       Date:  2011-08-30       Impact factor: 5.357

2.  The probability of choosing both hands depends on an interaction between motor capacity and limb-specific control in chronic stroke.

Authors:  Rini Varghese; Jason J Kutch; Nicolas Schweighofer; Carolee J Winstein
Journal:  Exp Brain Res       Date:  2020-09-03       Impact factor: 1.972

Review 3.  Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review.

Authors:  Xiaoyi Wang; Yan Fu; Bing Ye; Jessica Babineau; Yong Ding; Alex Mihailidis
Journal:  J Med Internet Res       Date:  2022-06-13       Impact factor: 7.076

4.  Digital Phenotyping in Clinical Neurology.

Authors:  Anoopum S Gupta
Journal:  Semin Neurol       Date:  2022-01-11       Impact factor: 3.212

5.  Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors' and occupational therapists' perspectives.

Authors:  Hee-Tae Jung; Yoojung Kim; Juhyeon Lee; Sunghoon Ivan Lee; Eun Kyoung Choe
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

6.  The Manumeter: a non-obtrusive wearable device for monitoring spontaneous use of the wrist and fingers.

Authors:  Justin B Rowe; Nizan Friedman; Mark Bachman; David J Reinkensmeyer
Journal:  IEEE Int Conf Rehabil Robot       Date:  2013-06

7.  Quantifying Real-World Upper-Limb Activity in Nondisabled Adults and Adults With Chronic Stroke.

Authors:  Ryan R Bailey; Joseph W Klaesner; Catherine E Lang
Journal:  Neurorehabil Neural Repair       Date:  2015-04-20       Impact factor: 4.895

Review 8.  Assessment of upper extremity impairment, function, and activity after stroke: foundations for clinical decision making.

Authors:  Catherine E Lang; Marghuretta D Bland; Ryan R Bailey; Sydney Y Schaefer; Rebecca L Birkenmeier
Journal:  J Hand Ther       Date:  2012-09-10       Impact factor: 1.908

9.  Acceleration metrics are responsive to change in upper extremity function of stroke survivors.

Authors:  M A Urbin; Kimberly J Waddell; Catherine E Lang
Journal:  Arch Phys Med Rehabil       Date:  2014-12-09       Impact factor: 4.060

10.  Inertial Sensing Based Assessment Methods to Quantify the Effectiveness of Post-Stroke Rehabilitation.

Authors:  Hsin-Ta Li; Jheng-Jie Huang; Chien-Wen Pan; Heng-I Chi; Min-Chun Pan
Journal:  Sensors (Basel)       Date:  2015-07-06       Impact factor: 3.576

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