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Record W4399299948 · doi:10.1080/09638288.2024.2361137

Psychometric properties of the Mini-Balance Evaluation Systems Test and physical function measures in patients with Ehlers-Danlos syndrome/hypermobility spectrum disorders

2024· article· en· W4399299948 on OpenAlexaff
Soomin Lee, Jonathan Bourque, Laurence Noël, Elizabeth Hazel, Emma Ramsay, Raphaël Bélice, Shawn M. Robbins

Bibliographic record

VenueDisability and Rehabilitation · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsMontreal General HospitalCentre for Interdisciplinary Research in RehabilitationMcGill University Health CentreCentre de réadaptation Lethbridge-Layton-MackayMcGill University
Fundersnot available
KeywordsHypermobility (travel)Ehlers–Danlos syndromeBalance (ability)Joint hypermobilityPhysical medicine and rehabilitationPhysical therapyTest (biology)Construct validityBalance testReliability (semiconductor)MedicinePsychologyPsychometricsClinical psychologySurgeryPhysics

Abstract

fetched live from OpenAlex

Purpose Ehlers-Danlos syndrome (EDS) and hypermobility spectrum disorders (HSD) are associated with impairments in balance and physical function. However, the psychometric properties of relevant outcome measures remain largely unexplored. The objectives of this study were to evaluate the construct validity of the Mini-Balance Evaluation Systems Test (Mini-BESTest) alongside the test-retest reliability of the Mini-BESTest, Six Minute Walk Test (6MWT), and Lower Extremity Functional Scale (LEFS) in patients with the hypermobility subtype of EDS (hEDS) and HSD.Materials and Methods Participants with hEDS/HSD (n = 20) attended two visits scheduled one to two weeks apart. The construct validity of the Mini-BESTest was determined through Pearson correlations between force plate balance measures, 6MWT, and LEFS. Test-retest reliability of the measures was evaluated through intraclass correlation coefficients (ICC). Minimal detectable change values with 95% confidence (MDC95) were also calculated.Results Mini-BESTest demonstrated significant correlations with force plate measures, 6MWT, and LEFS (r = −0.41 to 0.66). Test-retest reliability was excellent for the Mini-BESTest, 6MWT, and LEFS (ICC = 0.91 to 0.96). MDC95 was 4 for the Mini-BESTest, 77 m for the 6MWT, and 11 for the LEFS.Conclusion The Mini-BESTest is valid and reliable for assessing balance and mobility in patients with hEDS/HSD.IMPLICATIONS FOR REHABILITATIONThe Mini Balance Evaluation Systems Test (Mini-BESTest) is valid in capturing aspects of balance and physical function in patients with hypermobile Ehlers-Danlos syndrome or hypermobility spectrum disorders.However, the Mini-BESTest may show a potential ceiling effect for high functioning patients in this population.The Mini-BESTest, 6 Minute Walk Test, and the Lower Extremity Functional Scale also show excellent test-retest reliability in this population.The Minimal Detectable Change with 95% confidence intervals is 4 for the Mini-BESTest, 77 m for the 6 Minute Walk Test, and 11 for the Lower Extremity Functional Scale in this population.

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)0.001
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 score0.010
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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