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Record W3120552880 · doi:10.33137/cpoj.v4i1.35132

THE IMPACT OF ANKLE-FOOT ORTHOSES ON BALANCE IN OLDER ADULTS: A SCOPING REVIEW

2021· review· en· W3120552880 on OpenAlexafffundvenueabout
Jenna Laidler

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2021
Typereview
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsQueen's University
FundersQueen's University
KeywordsPhysical medicine and rehabilitationFoot (prosody)Balance (ability)AnkleMedicineFoot OrthosesPhysical therapyArtSurgeryPhysics

Abstract

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BACKGROUND: Balance impairment is a contributing factor to falls. Falls are a leading cause of injury and death in older adults. An ankle-foot orthosis (AFO) is a device that can be prescribed as an intervention to help individuals with compromised balance to ambulate safely. OBJECTIVE: The purpose of this review was to investigate the role ankle-foot orthoses have in affecting balance in community-dwelling older adults. METHODOLOGY: A scoping review was conducted searching MEDLINE, CINAHL, EMBASE, and REHABDATA databases to obtain the appropriate literature to meet the following criteria: 1) quantitative research design; 2) studies with participants over age 65; 3) studies with participants with drop-foot or sensory deficits in the lower extremity; 4) the treatment intervention was unilateral or bilateral AFOs; 5) the outcome measure was balance or stability. The retrieved articles were assessed based on the internal validity, external validity, objectivity, and reliability of the study design and the interpretation of results. FINDINGS: 11 articles were identified that met the inclusion criteria. Four major themes emerged in the analysis about the impact that ankle-foot orthoses have on balance in older adults: (1) AFOs improved lateral stability, (2) AFOs improved balance under static conditions, (3) AFOs provided a reduction in postural sway and (4) AFOs increased walking speed in community-dwelling older adults. CONCLUSIONS: The evidence from the findings of the review indicate that ankle-foot orthoses have a generally positive affect on balance in older adults. Clinicians can consider the ankle-foot orthosis an effective intervention that can improve balance in some older adult patient populations. Layman's Abstract Falls are a serious cause of injury and death in older adults over age 65. Poor balance can lead to an increased number of falls in the older population. The use of a brace, called an ankle-foot orthosis, can be prescribed to community living older adults to augment their balance. Ankle-foot orthoses can improve the stability and positioning of the ankle joint and foot to aid in balance during walking and standing, however ankle-foot orthoses have also been found to restrict natural movements and interrupt sensory feedback from the lower leg and foot. The purpose of this article was to investigate how the balance of older adults living in the community is impacted by wearing ankle-foot orthoses. Through conducting a database search to obtain appropriate literature on the topic, four trends were identified for how ankle-foot orthoses impact the balance of older adult wearers. Based on the findings of this review, ankle-foot orthoses were found to improve stability and standing balance, decrease bodily sway, and increase the walking speed of older adult wearers. These findings suggest that ankle-foot orthoses have a largely positive impact on the balance of older adults and can be considered to help improve balance in certain patient populations. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/35132/27291 How To Cite: Laidler J.L. The impact of ankle-foot orthoses on balance in older adults: A scoping review. Canadian Prosthetics & Orthotics Journal. 2021;Volume 4, Issue 1, No.1. https://doi.org/10.33137/cpoj.v4i1.35132 Corresponding Author: Jenna LaidlerAging and Health Program, School of Rehabilitation Therapy,Queen’s University, Kingston, Canada.E-mail: j.laidler@queensu.ca

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.044
GPT teacher head0.423
Teacher spread0.379 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2021
Admission routes4
Has abstractyes

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