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Record W4414766084 · doi:10.1111/jar.70127

Natural Setting Interventions to Increase Physical Activity Level in Older Adults With Intellectual Disabilities: A Systematic Review

2025· review· en· W4414766084 on OpenAlexafffund
Stéphanie Turgeon, Jason D'Amours, Christophe Maïano, J. A. P. Paré, Diane Morin

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2025
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversité du Québec à MontréalUniversité du Québec à Trois-RivièresRéseau National d'Expertise en Trouble du Spectre de l'AutismeCegep de Saint JeromeMental Health Research CanadaUniversité du Québec en Outaouais
FundersFonds de Recherche du Québec-Société et Culture
KeywordsPsychological interventionPhysical activityNatural (archaeology)Systematic reviewIntellectual disabilityQuality of life (healthcare)

Abstract

fetched live from OpenAlex

OBJECTIVE: The present study aimed to understand the effectiveness of natural setting interventions to increase the level of PA in older adults (≥ 40 years old) with intellectual disabilities. METHOD: Following PRISMA's most recent guidelines, a systematic review was used to synthesise research on PA interventions implemented in a natural setting to increase PA in older adults with intellectual disabilities. RESULTS: Eight articles were retained based on inclusion and exclusion criteria: four group and four single-case designs. Most studies showed positive but small changes in PA levels. Due to the heterogeneity of the interventions tested, the samples and PA outcomes measured as well as the quality and risk of bias of the studies, results could not be generalised. CONCLUSION: The systematic review highlights the pressing need for better quality research to understand if and how natural setting interventions can effectively increase PA levels in older adults with intellectual disabilities.

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)0.008
metaresearch head score (Gemma)0.031
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 score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.149
GPT teacher head0.463
Teacher spread0.314 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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