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Record W2889936935 · doi:10.1111/dmcn.14023

Exercise interventions to improve balance for young people with intellectual disabilities: a systematic review and meta‐analysis

2018· review· en· W2889936935 on OpenAlexafffund
Christophe Maïano, Olivier Hüe, Alexandre J. S. Morin, Geneviève Lepage, Danielle Tracey, Grégory Moullec

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2018
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalConcordia UniversityUniversité du Québec à Trois-RivièresUniversité du Québec en Outaouais
FundersAustralian Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsBlindingIntellectual disabilityPsychological interventionBalance (ability)Meta-analysisPsychologyRandomized controlled trialPhysical therapyDynamic balanceMEDLINEPhysical medicine and rehabilitationClinical psychologyMedicinePsychiatrySurgery

Abstract

fetched live from OpenAlex

AIM: To conduct a systematic review and meta-analysis of the effects of exercise interventions designed to improve balance in young people with intellectual disabilities. METHOD: A systematic literature search was performed on 10 databases. Studies in press or published in English in a peer-reviewed journal were included if: (1) participants were young people with intellectual disabilities; (2) exercise interventions were designed to improve balance; and (3) they used quasi-experimental or experimental designs. Studies focusing only on a specific subpopulation of young people with intellectual disabilities or having a specific physical characteristic were excluded. Risk of bias was assessed for randomization, allocation sequence concealment, blinding, incomplete outcome data, selective outcome reporting, and other biases. RESULTS: The search strategy identified 937 articles and 15 studies, published between 1991 and 2017, that met the inclusion criteria. Exercise intervention groups showed a significant and larger improvement in static (pooled effect size, Hedges' g=0.98) and dynamic (g=1.34) balance compared with the control groups. However, although the pooled improvement of static-dynamic balance was large (g=2.80), the result was non-significant. None of the subgroup analyses were significant, except for the improvement in: (1) static balance (higher in quasi-experimental than in experimental studies); and (2) dynamic balance (higher in young people with a mild vs a mild-moderate intellectual disability). INTERPRETATION: The reviewed exercise interventions seem to represent an effective means for improving the static and dynamic balance of young people with intellectual disabilities. However, the present findings should be considered as preliminary given the small number of studies and their limitations. WHAT THIS PAPER ADDS: Exercise intervention results in large and significant improvements in static and dynamic balance in young people with intellectual disabilities. Exercise intervention results in a large but non-significant improvement in static-dynamic balance. Static balance improvement was significantly higher in quasi-experimental versus experimental studies. Dynamic balance improvement was significantly higher in young people with mild versus mild-moderate intellectual disability. No significant differences related to age group, balance measures, and components of exercise intervention were found.

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)0.017
metaresearch head score (Gemma)0.037
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 score0.022
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.037
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0220.032
Bibliometrics0.0090.008
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
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 head0.377
Teacher spread0.298 · 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

Citations43
Published2018
Admission routes2
Has abstractyes

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