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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 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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.953
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 teacher head, not a consensus.

Study designNot applicable
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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