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Record W4413370999 · doi:10.33137/cpoj.v8i1.45517

EXPLORING THE CORRELATION BETWEEN GAIT SPEED AND BALANCE IN LIMB PROSTHESIS USERS: A PILOT STUDY

2025· article· en· W4413370999 on OpenAlexvenueaboutno aff
Abdullah Alhuzaymi, Goeran Fiedler

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsBalance (ability)Rank correlationPhysical medicine and rehabilitationGaitAmputationPhysical therapyPreferred walking speedCorrelationPearson product-moment correlation coefficientPopulationProsthesisSpearman's rank correlation coefficientConfoundingOutlierMedicineStatisticsMathematicsSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Increasing balance and stability, along with efficient locomotion, is a high-priority goal of physical rehabilitation after limb loss in order to facilitate effective participation in society. Research in the general population suggests that the ability to walk fast is correlated to good performance in balance tests. However, it is unclear if and how prosthesis use influences this correlation. OBJECTIVE: Our small-sample pilot study aimed to explore whether the general relationship between walking speed and balance holds true for people with limb loss whose physical capabilities are inevitably influenced by their prosthetic devices. METHODOLOGY: Participants with any level of limb loss were recruited and asked to perform the Ten-Meter Walk Test and Narrowing Beam Walking Test. Scores in both tests were analyzed using Spearman’s rank correlation coefficient. FINDINGS: The initial sample of eleven participants was reduced to eight (5 males, 3 females, mean age 52 years, mean height 171 cm, mean weight 68 kg, mean BMI 23, limb loss levels ranging from partial hand to trans-femoral amputation) after removing outliers. The mean Ten-Meter Walking velocity was 1.16 m/s, and the mean Narrowing Beam Test score was 11.38. The results indicate a medium to strong correlation between fast walking speed and high balance scores (ρ = 0.681, p = 0.063) when outliers are excluded. CONCLUSION: These findings are consistent with prior research conducted in other populations. However, outliers in our data suggest that this relationship is not universal across all individuals with limb loss. Possible confounding variables include the activity level and the respectively prescribed prosthetic technology. Our finding, that gait speed and balance scores should be evaluated separately to tailor rehabilitation strategies effectively, is preliminary and needs to be confirmed in a larger study. Layman's Abstract Losing a limb can have a major impact on a person’s daily life, including their ability to stay active, feel confident, and avoid accidents like falling. One of the main goals of physical rehabilitation after limb loss is to help people regain balance and stability, so they can move around safely and take part in everyday activities. We know from research on the general population that people who walk faster also tend to have better balance. But it is unclear if this same connection applies to people who use prosthetic limbs, since their walking ability is affected by both their physical condition and the type of prosthesis they use. This pilot study explored how walking speed relates to balance in eleven people with limb loss (8 men, 3 women), of whom three were eventually excluded from the final analysis. Participants completed two tests: a 10-meter walk to measure speed and a narrowing beam test to assess balance. We found that faster walkers generally had better balance scores, with some exceptions that might be due to the challenges of using prostheses. These early findings suggest that both walking speed and balance should be considered separately when designing prosthetic care to improve stability and reduce fall risk. Larger studies are needed to confirm these results, as this was a small feasibility study to test procedures and gather initial data. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/45517/34223 How To Cite: Alhuzaymi A, Fiedler G. Exploring the correlation between gait speed and balance in limb prosthesis users: A pilot study. Canadian Prosthetics & Orthotics Journal. 2025; Volume 8, Issue 1, No. 8. DOI:10.33137/cpoj.v8i1.45517 Corresponding Author: Goeran Fiedler, PhDAffiliation: Department of Rehabilitation Science and Technology, University of Pittsburgh, USA.E-Mail: gfiedler@pitt.eduORCID ID: https://orcid.org/0000-0003-1532-1248

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.233
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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