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Record W2133439422 · doi:10.3109/09638288.2010.497017

Physical activity in young children with cerebral palsy

2010· article· en· W2133439422 on OpenAlexaff
J. Nathalie Zwier, Petra van Schie, Jules G. Becher, Dirk‐Wouter Smits, Jan Willem Gorter, Annet J. Dallmeijer

Bibliographic record

VenueDisability and Rehabilitation · 2010
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPhysical activityCerebral palsyPhysical therapyPsychologyMedicinePhysical activity levelDevelopmental psychologyTypically developingPediatricsAutism

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this study was to describe the physical activity levels of 5- and 7-year-old children with cerebral palsy (CP, n = 97), to compare their physical activity levels with those of typically developing peers (TD, n = 57) and the Dutch recommendation for physical activity, and to investigate the associated factors. METHOD: The level of physical activity (hours spent on sports and physical activity per week) and contextual factors were assessed with standardised questionnaires. RESULTS: Mean duration of self-reported physical activity for children with CP was 3.4 (+/- 1.9) h/week, which was significantly less than the 5.8 (+/- 2.3) h/week for TD-peers. Ninety-three percent of the children with CP were insufficiently physically active according to the Dutch recommendation for physical activity. Multiple regression analyses showed that younger age and lower educational level of the mother were significantly associated with lower levels of physical activity for children with CP, while severity of CP was not associated with physical activity levels. Twenty-two percent of the parents reported that more facilities in sport and games are required for children with CP. CONCLUSION: Physical activity is low in young children with CP and needs to be promoted at an early stage.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.263
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), 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

Citations91
Published2010
Admission routes1
Has abstractyes

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