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Record W4405009419 · doi:10.52291/ijse.2024.39.19

Physical Fitness Level and the Selected Testing in Individuals with Intellectual Disability (ID): A Scoping Review

2024· review· en· W4405009419 on OpenAlexaboutno aff
Willince Mojiin, Nor Azlan Othman, Nur Syamsina Ahmad, Rosniwati Ghafar, Nurul Azuar Hamzah, Erie Zuraidee Zulkifli

Bibliographic record

VenueInternational Journal of Special Education (IJSE) · 2024
Typereview
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical fitnessTest (biology)Movement assessmentGerontologyPsychologyPopulationCardiovascular fitnessAthletesScopusPhysical therapyMedicineMEDLINEMotor skillDevelopmental psychologyEnvironmental health

Abstract

fetched live from OpenAlex

Individuals with Intellectual disabilities (ID) demonstrate a lower level of cardiovascular fitness than their normal counterparts, which starts at an early age and deteriorates with age. A poor level of physical fitness among individuals with ID, suggesting the need to improve their cardiovascular endurance, body composition, muscular endurance, strength, and motor coordination. This review aimed to elucidate findings on selected fitness testing used among individuals with ID and their physical fitness status. Literature was searched systematically based on PRISMA guidelines, using Science Direct, Scopus, Web of Science, and ProQuest databases. Twelve studies were included in the final analysis. There were randomised-controlled studies that investigated the measurement for fitness battery used among children, youth and athletes with ID. There are six main fitness batteries were reported to be used among ID people. Five studies reported to use Eurofit special battery, 3 studies using SAMU Dis fit, 1 study using Brockport, 1 study using Fullerton battery, while another 1 study using combination of Eurofit with Canadian Standard test and 1 study using others physical performance battery. Most of the batteries potentially to assess health and skill related fitness for special group population. The physical fitness tests also may be differ due to the differences in age factors, as a result from differ in capabilities and requirements in their daily functioning. Considering the health conditions of individual with ID, it is important to design and develop the fitness battery accordingly to provide appropriate recommendation to improve their overall wellbeing and health.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.089
GPT teacher head0.432
Teacher spread0.343 · 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 designOther design
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

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