ArticleFrontiers in neurology2023
Psychometric properties of the Chinese version of the Arm Activity Measure in people with chronic stroke.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Efficacy of kinesthetic motor imagery based brain computer interface combined with tDCS on upper limb function in subacute stroke.Scientific reports · 2025Trial
- Article
- Article
- Contribution of Perceived Upper Limb Function to the Participation and Activity Levels Among Community-Dwelling People With Chronic Stroke.Annals of rehabilitation medicine · 2025Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The Arm Activity Measure was developed to assess active and passive functions of the upper limb in people with unilateral paresis, but a Chinese version is not available and its psychometric properties have not been specifically tested in people with stroke. This study aimed to translate and culturally adapt the Chinese version of the Arm Activity Measure (ArmA-C) and establish its psychometric properties in people with chronic stroke. Methods: The psychometric properties of ArmA-C were determined in 100 people with chronic stroke. Results: The ArmA-C had good test-retest reliability (intraclass correlation coefficients [ICC] = 0.87-0.93; quadratic weighted Kappa coefficients = 0.53-1.00). A floor effect was identified in section A of the ArmA-C. The content validity and internal consistency (Cronbach's alpha coefficients = 0.75-0.95) were good. The construct validity of the ArmA-C was supported by acceptable fit to the two-factor structure model and significant correlations with the Fugl-Meyer Assessment for Upper Extremity score, grip strength, the Wolf Motor Function Test score, the Trail Walking Test completion time, and the Oxford Participation and Activities Questionnaire scores. Conclusions: The ArmA-C is reliable and valid for assessing active and passive functions in people with chronic stroke.
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