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Arm impairment and ...
Arm impairment and walking speed explain real-life activity of the affected Arm and leg after stroke
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- Andersson, Sofi A., 1970 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för hälsa och rehabilitering,Institute of Neuroscience and Physiology, Department of Health and Rehabilitation
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- Danielsson, A. (author)
- University of Gothenburg, Sweden
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- Ohlsson, Fredrik (author)
- Umeå universitet,RISE,Umeå University, Sweden,Institutionen för matematik och matematisk statistik,The RISE, Unit Sensor System, Gothenburg, Sweden
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- Wipenmyr, Jan (author)
- RISE,Smart hårdvara,The RISE, Unit Sensor System, Gothenburg, Sweden
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- Alt Murphy, Margit, 1970 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för hälsa och rehabilitering,Institute of Neuroscience and Physiology, Department of Health and Rehabilitation
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(creator_code:org_t)
- 2021
- 2021
- English.
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In: Journal of Rehabilitation Medicine. - : Foundation for Rehabilitation Information. - 1650-1977 .- 1651-2081. ; 53:6
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Abstract
Subject headings
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- Objective: To determine to what extent accelerometer-based arm, leg and trunk activity is associated with sensorimotor impairments, walking capacity and other factors in subacute stroke. Design: Cross-sectional study. Patients: Twenty-six individuals with stroke (mean age 55.4 years, severe to mild motor impairment). Methods: Data on daytime activity were collected over a period of 4 days from accelerometers placed on the wrists, ankles and trunk. A forward stepwise linear regression was used to determine associations between free-living activity, clinical and demographic variables. Results: Arm motor impairment (Fugl-Meyer Assessment) and walking speed explained more than 60% of the variance in daytime activity of the more-affected arm, while walking speed alone explained 60% of the more-affected leg activity. Activity of the less-affected arm and leg was associated with arm motor impairment (R2=0.40) and independence in walking (R2=0.59). Arm activity ratio was associated with arm impairment (R2=0.63) and leg activity ratio with leg impairment (R2=0.38) and walking speed (R2=0.27). Walking-related variables explained approximately 30% of the variance in trunk activity. Conclusion: Accelerometer-based free-living activity is dependent on motor impairment and walking capacity. The most relevant activity data were obtained from more-affected limbs. Motor impairment and walking speed can provide some information about real-life daytime activity levels.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Neurologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Neurology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Sjukgymnastik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Physiotherapy (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Allmänmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- General Practice (hsv//eng)
Keyword
- Accelerometry
- Ambulatory monitoring
- Clinical research
- Outcome assessment (healthcare)
- Outcome measures
- Rehabilitation
- Stroke
- Wearable technology
- adult
- aged
- arm injury
- cerebrovascular accident
- complication
- cross-sectional study
- female
- human
- male
- middle aged
- pathology
- physiology
- procedures
- stroke rehabilitation
- very elderly
- walking speed
- Aged
- 80 and over
- Arm Injuries
- Cross-Sectional Studies
- Humans
- stroke
- accelerometry
- clinical research
- rehabilitation
- ambulatory
- monitoring
- wearable technology
- outcome assessment (healthcare)
- outcome measures
- physical-activity
- subacute stroke
- reliability
- behavior
- people
- scale
- Rehabilitation
- Sport Sciences
Publication and Content Type
- ref (subject category)
- art (subject category)
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