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Record W190994011 · doi:10.1123/pes.19.1.20

Developmental Coordination Disorder and Cardiorespiratory Fitness in Children

2007· article· en· W190994011 on OpenAlexaff
John Cairney, John Hay, Brent E. Faught, Andreas D. Flouris, Panagiota Klentrou

Bibliographic record

VenuePediatric Exercise Science · 2007
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCardiorespiratory fitnessPercentilePercentile rankMulti-stage fitness testPhysical therapyMedicineTest (biology)PediatricsPsychologyPhysical fitnessStatisticsMathematics

Abstract

fetched live from OpenAlex

It is not known whether children with Developmental Coordination Disorder (DCD) have lower cardiorespiratory fitness (CRF) than children without the disorder, or whether this relationship varies by age and gender. These issues are examined using a cross-sectional assessment of children 9-14 years of age (N = 549). Participants were screened for DCD using the short form Bruininks-Oseretsky Test of Motor Proficiency (BOTMP-SF). A BOTMP-SF age-adjusted standard score at or below the 10th percentile rank on the BOTMP-SF was required to classify a diagnosis for probable DCD. CRF was determined from each participant’s predicted peak-aerobic power using the Léger 20-m shuttle-run test. Children with DCD report lower CRF than children without the disorder and are more likely to be in a high-risk group (≤ 20th percentile in peak VO2). Moreover, 70% of boys with DCD scored at or below the 20th percentile in peak VO2. Further research in a laboratory setting should be conducted to confirm these findings.

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)0.003
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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
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)0.0020.000

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 head0.007
GPT teacher head0.259
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 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

Citations109
Published2007
Admission routes1
Has abstractyes

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