ArticleBMC neurology2026
Psychometric properties of functional gait assessment in people with stroke.
Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
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Who cites it
1 citing paper in PubMed.
- The psychometric properties of Functional Gait Assessment (FGA) in assessing walking ability in people with knee osteoarthritis.Journal of exercise science and fitness · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
objectiveWalking balance is essential for daily life, especially for people recovering from a stroke. The Functional Gait Assessment (FGA) is a tool commonly used to assess walking stability and predict the risk of falls. However, its reliability and validity in community-dwelling stroke survivors were not well-studied. This study is to investigate the psychometric properties of FGA in people with stroke.
methodsSixty-three people with stroke and thirty healthy older adults were recruited to this cross-sectional study. FGA, Fugl-Meyer Assessment Lower Extremity (FMA-LE), Ankle Muscle Strength Test, Montreal Cognitive Assessment (MoCA), Limit of Stability (LOS), Berg Balance Scale (BBS), Foot and Ankle Ability Measure (FAAM), Oxford Participation and Activities Questionnaire (Ox-PAQ), The 12-items Short Form Health Survey (SF-12) were assessed in a randomized order on day 1 and day 2. Healthy subjects only participated in the FGA assessment on day 1.
resultsThe FGA score demonstrated excellent inter-rater reliability (ICC = 0.94) and good test-retest reliability (ICC = 0.85) in people with stroke. The SEM and MDC of the FGA score were 1.81 and 5.02, respectively. Significant correlations were found between FGA and FMA-LE, ankle strength, BBS, LOS, and FAAM (p < 0.05). The Bland-Altman plots indicated a mean difference of 0.71 with 95% limit of agreement (95%LOA) ranging from - 3.60 to 5.03 for the inter-rater measurements. An optimal cut-off point of ≥ 20 was identified, with lower scores indicating greater gait and balance impairment, effectively differentiating people with stroke from healthy adults.
conclusionFGA is a sensitive, reliable, and efficient tool for assessing gait and balance in people with stroke.
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Registered trials
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