Assessing the Accuracy of the Figure-of-Eight Walk Test in Distinguishing Between Household and Community Ambulation in Post-Stroke Individuals

Name: Pantila Pramuan

Address: 333 Moo1, Thasud, Muang, Chiang Rai 57100

Organization : School of Health Science, Mae Fah Luang University

Email : library@mfu.ac.th

Name: Akkradate Siriphorn

keyword: Figure-of-Eight Walk Test

ThaSH: Health Science

; post-stroke assessment

ThaSH: Alternative medicine

; Walking ability

ThaSH: Cerebrovascular disease

; Gait categorization

ThaSH: Rehabilitation

; Rehabilitation

ThaSH: Cerebrovascular disease -- Patients

ThaSH: Walking

Abstract: Introduction:Traditional post-stroke walking assessments often prioritize linear trajectories, failing to capture the complexity of everyday ambulation. Navigating the intricacies of everyday life requires adaptability that extends beyond the confines of linear paths. It involves addressing dynamic challenges, such as turns, varied terrains, and unexpected obstacles, which are often not adequately captured by traditionalpost-stroke walking assessments. The Figure-of-Eight Walk Test (F8WT) compensates for this limitation by assessing walking ability in varied scenarios. However, investigations into its accuracy for differentiating walking capabilities post-stroke are notably lacking. This study aimed to investigate the precision of the F8WT in distinguishing between household and community walkers among individuals post-stroke.Methods:Sixty-two stroke participants, capable of walking independently or with minimal assistance (one assistant at most), were categorized into household and community walkers based on gait speed measurements. The F8WT was then administered, with its discriminative accuracy assessed using the area under the receiver operating characteristic (ROC) curve. Additionally, an optimal cutoff value distinguishing the two categories was calculated.Results:The F8WT demonstrated robust discriminative potential, achieving the area under the curve (AUC) of 0.96 (95% CI = 0.91–1.00) on the ROC curve analysis. It registered a sensitivity of 97.60% and a specificity of 84.20%. A critical cutoff point was established at >11.20 seconds for effective categorization.Conclusions:The F8WT is a potent assessment tool, successfully differentiating between household andcommunity walking abilities among stroke survivors. This precise demarcation underscores its applicability in individualized post-stroke rehabilitative planning.

Mae Fah Luang University. Learning Resources and Educational Media Center

Address: CHIANG RAI

Email: library@mfu.ac.th

Modified: 2024-01-29

Issued: 2024-01-29

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Journal of Health Science and Alternative Medicine Vol.5 (3) September - December 2023 : p75-82

eng

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