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The relationship between benign joint hypermobility syndrome and developmental coordination disorders in children

2014· article· en· W2286048868 on OpenAlexaff
Victoria Easton, Holly Bacon, Kate Armon, Alex J. MacGregor

Bibliographic record

VenueLara D. Veeken · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsJoint hypermobilityMedicineHypermobility (travel)Joint disorderJoint (building)Physical medicine and rehabilitationPhysical therapyPathologyOsteoarthritisAlternative medicine

Abstract

fetched live from OpenAlex

Introduction: Benign joint hypermobility syndrome (BJHS) is a common heritable connective tissue disorder characterized by excessive joint flexibility and musculoskeletal pain. In childhood, BJHS has been linked clinically with disorders of motor control, however the association remains poorly characterized and the extent to which this reflects developmental variation remains uncertain Aims: This study examines data from an interventional study of BJHS in childhood to assess the relationship between joint hypermobility and motor control Method: The study subjects included 117 children between the ages of 5 and 16 years. All had documented joint hypermobility (assessed by a paediatric rheumatologist) and musculoskeletal pain. Motor ability was assessed using the norm-referenced Movement Assessment Battery for Children (M-ABC). The M-ABC includes tests for manual dexterity, ball skills and balance. Children with age-corrected scores falling below the 15th percentile were defined as having movement difficulty. Results: Among the children with BJHS that were assessed, 32% scored 15 percentile on the M-ABC (P < 0.001). The prevalence of movement difficulty was higher in younger when compared with older children with BJHS (5 to 8 years = 41%; 9 to 12 years: 29%; 13 to 16: 19%). Movement difficulty was more common in males (40%) than females (25%). There was no association with the extent of hypermobility as assessed on the Beighton score or with the level of pain as assessed by VAS.

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 score0.006
Threshold uncertainty score0.335

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 studies0.0000.000
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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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
Published2014
Admission routes1
Has abstractyes

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