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Record W4405596063 · doi:10.1016/j.jesf.2024.12.005

Physical fitness assessment tools for children with developmental coordination disorder and their feasibility for low-income settings: A systematic review

2024· review· en· W4405596063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Exercise Science & Fitness · 2024
Typereview
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
FundersUniversidade do Estado da Bahia
KeywordsLow incomeDevelopmental psychologyPsychologyMedicineEconomics

Abstract

fetched live from OpenAlex

Background: This study systematically reviewed the literature on physical fitness assessment tools for children with developmental coordination disorder compared with typically developing children aged 7 to 10 and analyzed the feasibility of these tools for use in low-income settings. Methods: Searches were conducted in the PubMed, Scopus, Web of Science, and EBSCO/RIC databases. The Newcastle - Ottawa Quality Assessment Scale assessed the methodological quality of the studies, and a checklist adapted from COSMIN assessed the feasibility of the instruments. Results: From 8470 studies initially retrieved, 21 were included in this systematic review. The most assessed physical fitness components in children with developmental coordination disorder compared with typically developing children were cardiorespiratory fitness and muscle strength. Most studies had high methodological quality. The shuttle run (cardiorespiratory fitness) and handgrip dynamometer (muscle strength) were the most used tools. The PERF-FIT, long jump, and 6-min walk test were considered the most feasible tools for low-income settings, while the incremental treadmill test was deemed the least feasible. Conclusion: The findings evidenced several viable tools for testing physical fitness in children with DCD compared to typically developing peers from low-income countries. The most viable, as PERF-FIT, long jump and 6-min walk test should be used on large scale in low-income settings.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.031
GPT teacher head0.364
Teacher spread0.333 · 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