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Arm impairment and walking speed explain real-life activity of the affected Arm and leg after stroke

Andersson, Sofi A., 1970 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för hälsa och rehabilitering,Institute of Neuroscience and Physiology, Department of Health and Rehabilitation
Danielsson, A. (författare)
University of Gothenburg, Sweden
Ohlsson, Fredrik (författare)
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 (författare)
RISE,Smart hårdvara,The RISE, Unit Sensor System, Gothenburg, Sweden
Alt Murphy, Margit, 1970 (författare)
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
Engelska.
Ingår i: Journal of Rehabilitation Medicine. - : Foundation for Rehabilitation Information. - 1650-1977 .- 1651-2081. ; 53:6
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

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)

Nyckelord

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

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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