ArticleJournal of rehabilitation medicine2021
Arm impairment and walking speed explain real-life activity of the affected arm and leg after stroke.
Article in Journal of rehabilitation medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review.Sensors (Basel, Switzerland) · 2022Pooled it
- A Novel Approach to Characterizing Patterns of Real-World Upper-Extremity Use During Walking and Activities of Daily Living in People with Subacute Stroke.Sensors (Basel, Switzerland) · 2026Article
- Relationships between arm and leg real-life activity and clinical assessments in individuals with disabling spasticity after stroke.Frontiers in stroke · 2026Article
- The association of upper limb sensorimotor capacity, everyday inpatient behavior, and the effects of neurorehabilitation in persons with multiple sclerosis and stroke: a mixed-design study.Journal of neuroengineering and rehabilitation · 2025Article
- Factors associated with upper extremity use after stroke: a scoping review of accelerometry studies.Journal of neuroengineering and rehabilitation · 2025Article
- Optimizing Epoch Length and Activity Count Threshold Parameters in Accelerometry: Enhancing Upper Extremity Use Quantification in Cerebral Palsy.Sensors (Basel, Switzerland) · 2024Article
- Upper extremity asymmetry due to nerve injuries or central neurologic conditions: a scoping review.Journal of neuroengineering and rehabilitation · 2023Article
- Aging after stroke: how to define post-stroke sarcopenia and what are its risk factors?European journal of physical and rehabilitation medicine · 2022Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo determine to what extent accelerometer-based arm, leg and trunk activity is associated with sensorimotor impairments, walking capacity and other factors in subacute stroke.
designCross-sectional study. PATIENTS: Twenty-six individuals with stroke (mean age 55.4 years, severe to mild motor impairment).
methodsData 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.
resultsArm 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.
conclusionAccelerometer-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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.