MétaCan
Menu
Back to cohort
Record W4385716964 · doi:10.1080/17533015.2023.2242390

Impact of dance interventions on the symptoms of dementia: A mixed-methods systematic review

2023· review· en· W4385716964 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArts & Health · 2023
Typereview
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcMaster UniversityUniversity of Ottawa
Fundersnot available
KeywordsCINAHLPsycINFODancePsychological interventionDementiaInclusion (mineral)MEDLINEGerontologyMedicineCochrane LibraryPsychologyPsychiatryAlternative medicineDiseaseSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: This mixed-methods systematic review determined the impact of dance interventions on symptoms of Alzheimer's disease and related dementias (ADRD) among persons living in residential care. METHODS: Seven databases (Medline, EMBASE, CINAHL, PsycINFO, Web of Science, Ageline, and AMED) were searched. Studies published before June 2022 that investigated the impact of dance interventions on symptoms of ADRD were eligible for inclusion. Risk of bias was assessed using CASP, ROBINS-I, and ROB-2. Quantitative and qualitative objectives provided a convergent segregate narrative synthesis for the review. The review protocol was registered on PROSPERO (CRD42021220535). RESULTS: Two quantitative and two qualitative studies met the inclusion criteria. Dance interventions decreased levels of agitation and aggression, and improved behavioural and psychological symptoms. CONCLUSIONS: Studies suggest that dance interventions reduce the symptoms of dementia through increased expression, emotions, and improved relationships for persons with ADRD. However, the small number of included studies limits these conclusions.

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.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.188
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.171
GPT teacher head0.564
Teacher spread0.392 · 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