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Record W2740024834 · doi:10.21149/8203

Interventions to promote physical activity for youth with intellectual disabilities

2017· review· en· W2740024834 on OpenAlexaff
Georgia C. Frey, Viviene A. Temple, Heidi I. Stanish

Bibliographic record

VenueSalud Pública de México · 2017
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsConceptualizationPsychological interventionIntervention (counseling)Intellectual disabilityInclusion (mineral)PsychologyQualitative researchResearch designClinical psychologyMedicineGerontologyPsychiatrySocial psychologyComputer science

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe interventions designed to promote physical activity for youth with intellectual disabilities. MATERIALS AND METHODS: A systematic review of nine databases until January 31, 2015 identified 213 citations. The inclusion criteria were: a) the study sample consisted of youth with intellectual disabilities, b) the study implemented an intervention to initiate, increase, or maintain physical activity, and c) quantitative or qualitative data were used to report the effectiveness of the intervention. Eleven articles from the 213 citations met this criterion. RESULTS: Nine studies reported significant increases in physical activity behavior. CONCLUSIONS: Conclusions cannot be made regarding intervention components that impacted outcome variables, if the observed effects were specifically due to the intervention or if interventions could be maintained long-term. To advance the knowledge base in this area, a concerted effort should be made to increase rigor in study conceptualization and research design.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0090.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
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 head0.335
GPT teacher head0.487
Teacher spread0.152 · 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 designSystematic review
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

Citations39
Published2017
Admission routes1
Has abstractyes

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