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Record W3040260757 · doi:10.1352/1944-7558-125.4.274

A Systematic Review and Meta-Analysis Examining the Effect of Exercise on Individuals With Intellectual Disability

2020· review· en· W3040260757 on OpenAlexaff
Laura St. John, Gregory Borschneck, John Cairney

Bibliographic record

VenueAmerican Journal on Intellectual and Developmental Disabilities · 2020
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMeta-analysisAnxietyIntellectual disabilityRandomized controlled trialClinical psychologyDepression (economics)PopulationRandom effects modelPsychologyMedicineInclusion (mineral)Physical therapyGerontologyPsychiatryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

This study examined the efficacy of exercise programs for individuals with intellectual disability (ID) based on experimental designs. Multiple databases were searched from inception up until March 2019. Randomized control trials were eligible for inclusion if they (a) included a population with ID; (b) used an exercise intervention; and (c) included performance, cardiovascular health, and/or psychological measures. All data were pooled using random effects models of standardized mean differences. The review included 18 studies which represented data from 799 individuals with ID. The largest effect was seen in relation to anxiety and depression symptoms (SMD = -3.07). This study represented the first comprehensive analysis on this topic area and illustrated that exercise can play an important therapeutic role for this population.

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)0.009
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.035
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0150.020
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.079
GPT teacher head0.349
Teacher spread0.270 · 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 designMeta-analysis
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

Citations42
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal on Intellectual and Developmental DisabilitiesSame topicDown syndrome and intellectual disability researchFrench-language works237,207