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Record W3006084626 · doi:10.1080/01942638.2020.1720053

Benefits of a Dance Intervention on Balance in Adolescents with Cerebral Palsy

2020· article· en· W3006084626 on OpenAlexaff
Claire Cherriere, Mélissa Martel, Anne Sarrasin, Laurent Ballaz, Jessica Tallet, Martin Lemay

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2020
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversité de MontréalUniversité du Québec à MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsCerebral palsyDanceBalance (ability)Intervention (counseling)Physical medicine and rehabilitationPhysical therapyDynamic balancePsychologyRhythmBerg Balance ScaleMedicinePsychiatry

Abstract

fetched live from OpenAlex

AIMS: Cerebral palsy (CP) impacts motor functions such as balance, limits of stability and walking, and may also affect other functions such as attention and rhythm production. Motor and non-motor deficits lead to difficulties in daily life activities. The main objective of this study was to evaluate the effects of a dance intervention on balance in adolescents with CP. The secondary objectives were to evaluate the effects of this intervention on walking speed, attention, and rhythm production. METHODS: A pre-post design study with a double baseline was conducted on ten adolescents with CP in order to assess the effects of a 10-week dance intervention. The dance intervention focused on improving balance and limits of stability. Outcomes on static and dynamic balance were evaluated with clinical and laboratory tests before and after the intervention. Walking speed, attention, and rhythm production were also evaluated before and after the intervention. RESULTS: Balance improved after the dance intervention as assessed with both the clinical tests and a laboratory test. Rhythm production also improved after the dance intervention. CONCLUSIONS: Results suggest that a 10-week dance intervention is an effective activity to improve static and dynamic balance as well as rhythmic production in adolescents with CP.

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)0.000
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 score0.005
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.034
GPT teacher head0.309
Teacher spread0.275 · 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

Citations24
Published2020
Admission routes1
Has abstractyes

Explore more

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