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Record W4382502764 · doi:10.1080/01942638.2023.2223280

Reliability of Selected Health-Related Fitness Tests for Children With Developmental Coordination Disorder

2023· article· en· W4382502764 on OpenAlexaff
Isabelle Demers, Hélène Moffet, Désirée B. Maltais

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2023
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre for Interdisciplinary Research in RehabilitationUniversité LavalCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
Fundersnot available
KeywordsIntraclass correlationConfidence intervalSprintPhysical therapyCardiorespiratory fitnessAnklePhysical fitnessTest (biology)PsychologyMedicinePhysical medicine and rehabilitationSurgeryClinical psychologyPsychometricsInternal medicine

Abstract

fetched live from OpenAlex

Aim: To quantify test-retest reliability and minimal detectable change for 90 and 95% confidence levels (90MDC, 95MDC) for health-related fitness tests in children with developmental coordination disorder (DCD). Methods: Lower limb muscle strength [hand-held dynamometry (HHD), unilateral heel rise test (UHRT), standing broad jump (SBJ)], muscle endurance [Muscle Power Sprint Test (MPST)] and cardiorespiratory endurance [20-metre Shuttle Run Test (20mSRT)] were evaluated twice (2–7 day interval) in 31 children with DCD (20 males, 9.4 years old ± 2.0). Results: Test-retest reliability was reported as intraclass correlation coefficient (ICC) (2, 1) 95% confidence interval lower bounds. Values were excellent for MPST (peak and mean power: 0.93, 0.95), good for HHD (0.81–0.88), SBJ (0.82), and the 20mSRT (0.87) and moderate for UHRT (0.74). For HHD, the 90MDC and 95MDC were the largest for hip extensors (14.47, 12.14 Nm) and the smallest for ankle dorsiflexors (1.55, 1.30 Nm). For UHRT, SBJ, MPST and the 20mSRT, these MDC values were 11.90, 9.98 repetitions; 25.49, 21.38 cm; 4.70, 3.94 W (mean power), and 6.45, 5.42 W (peak power) and 0.87, 0.73 (number of stages), respectively. Conclusion: These tests yield reliable test-retest results that can be used to evaluate fitness changes in this group.

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 score0.028
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.025
GPT teacher head0.332
Teacher spread0.306 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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