Comparison of Upper Extremity Motor Recovery of Stroke Patients with Actual Physical Activity in Their Daily Lives Measured with Accelerometers
Open accessAbstract
[Purpose] This study compared the upper extremity recovery of stroke patients with the amount of their upper extremity use in real life as measured by accelerometers. [Subjects] Forty inpatients who had had a stroke were recruited. [Methods] The subjects were divided into two groups by the Fugl-Meyer Assessment of Motor Function (FMA) score, a moderately recovered group and a well recovered group. The amount of upper extremity physical activity and its ratio in daily time periods were analyzed for the affected and unaffected sides. [Results] The well recovered group showed significantly higher affected arm use and use ratio than the moderately recovered group in all time periods. [Conclusion] The upper extremity recovery level of the affected side is similar to the physical activity level according to the amount of upper extremity physical activity in actual life measured with an accelerometer. Overuse of the normal side regardless of the recovery level of upper extremity proves the International Classification of Functioning (ICF) concept of differentiating between capacity and performance, and rehabilitation treatments should focus on improving performance.
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In stroke, upper extremity activity, walking, and physical activity levels were investigated using step and activity counts.
“In stroke, upper extremity activity [40–51], walking, and physical activity levels were investigated in several studies using step and activity counts [52–62].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [47]
Arm activity measures discriminated effectively between different motor impairment levels in stroke.
“In stroke, arm activity measures discriminated effectively between individuals with stroke and healthy controls [45], and between different motor impairment levels [45, 47, 48].”
From Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: A mixed-methods systematic review (2018) · cites this paper as [47]
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Uswatte, G., Taub, E., Morris, D. M., Vignolo, M. J., & McCulloch, K. L. (2005) · Stroke · doi:10.1161/01.str.0000185928.90848.2e · Cited by 519 · see citing works
The learned nonuse phenomenon: implications for rehabilitation.
Taub, E., Uswatte, G., Mark, V. W., & Morris, D. M. (2006) · PubMed · Cited by 517 · see citing works
Uswatte, G., Taub, E., Morris, D. M., Light, K. E., & Thompson, P. A. (2006) · Neurology · doi:10.1212/01.wnl.0000238164.90657.c2 · Cited by 459 · see citing works
Mercier, L., Audet, T., Hébert, R., Rochette, A., & Dubois, M. (2001) · Stroke · doi:10.1161/hs1101.098154 · Cited by 320 · see citing works
Issues for selection of outcome measures in stroke rehabilitation: ICF Participation
Salter, K. L., Jutai, J. W., Teasell, R. W., Foley, N., Bitensky, J., & Bayley, M. T. (2005) · Disability and Rehabilitation · doi:10.1080/0963828040008552 · Cited by 311 · see citing works
Birkenmeier, R. L., Prager, E. M., & Lang, C. E. (2010) · Neurorehabilitation and neural repair · doi:10.1177/1545968310361957 · Cited by 295 · see citing works
Technical Reliability Assessment of Three Accelerometer Models in a Mechanical Setup
Esliger, D., & Tremblay, M. S. (2006) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000239394.55461.08 · Cited by 244 · see citing works
Rand, D., & Eng, J. J. (2011) · Neurorehabilitation and neural repair · doi:10.1177/1545968311408918 · Cited by 211 · see citing works
Predicting improvement in the upper paretic limb after stroke: A longitudinal prospective study
Kwakkel, G., & Kollen, B. J. (2007) · Restorative Neurology and Neuroscience · doi:10.3233/rnn-2007-00380 · Cited by 151 · see citing works
Continuous monitoring of upper-limb activity in a free-living environment
Vega‐González, A., & Granat, M. H. (2005) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2004.04.049 · Cited by 100 · see citing works
Uswatte, G., & Taub, E. (2005) · Rehabilitation Psychology · doi:10.1037/0090-5550.50.1.34 · Cited by 100 · see citing works
de Niet, M., Bussmann, J. B., Ribbers, G. M., & Stam, H. J. (2007) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2007.06.005 · Cited by 94 · see citing works
Byl, N. N., Pitsch, E. A., & Abrams, G. (2008) · Neurorehabilitation and neural repair · doi:10.1177/1545968308317431 · Cited by 94 · see citing works
Wang, T., Lin, K., Wu, C., Chung, C.-Y., Pei, Y., & Teng, Y. (2011) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2011.01.020 · Cited by 74 · see citing works
Effects of Sensory Cueing on Voluntary Arm Use for Patients With Chronic Stroke: A Preliminary Study
Fong, K. N. K., Lo, P. C., Yu, Y. S., Cheuk, C. K., Tsang, T. H., Po, A. S., & Chan, C. C. H. (2010) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2010.09.014 · Cited by 27 · see citing works
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Remote Physical Activity Monitoring in Neurological Disease: A Systematic Review.
Block, V. A. J., Pitsch, E., Tahir, P., Cree, B. A. C., Allen, D. D., & Gelfand, J. M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154335 · Cited by 198 · see citing works
“Stott, 2009 [109] Undefined > 3 months StepWatch Activity Monitor (b*) Walking /gait/ LE physical activity Crosssectional >50 49 N/A 2–6 days Government / Private foundation”
BackgroundInfluentialJohansson, D., Malmgren, K., & Alt Murphy, M. (2018) · Journal of Neurology · doi:10.1007/s00415-018-8786-y · Cited by 188 · see citing works
- Authors
- Shim, S., Kim, H., & Jung, J.
- Affiliations
- Department of Occupational Therapy, Yonsei University, Republic of Korea
- Yonsei University (KR)
- Semyung University (KR)
- Corresponding author
- Jung, Jinhwa
- ORCID
- Kim, Hee
- Venue
- Journal of Physical Therapy Science
- Publisher
- Society of Physical Therapy Science
- Published
- 2014
- Volume
- 26
- Issue
- 7
- Pages
- 1009-1011
- ISSN
- 0915-5287 (ISSN-L)
- 2187-5626
- PMC
- PMC4135185
- OpenAlex
- W2040160002
- Cited by
- 37
- References
- 15
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 2 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 5 · 2018: 5 · 2017: 1 · 2016: 3 · 2015: 6
- FWCI
- 3.24
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Journal of Physical Therapy Science (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Semyung University
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Medical Practices and Rehabilitation
- Health Sciences › Health Professions › Speech and Hearing › Dysphagia Assessment and Management
- Keywords
- stroke, upper limb motor recovery, physical activity, accelerometer, Fugl-Meyer Assessment, International Classification of Functioning, Disability and Health, stroke rehabilitation
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