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Record W4400106885 · doi:10.1080/26907240.2024.2344307

The Effect of Creative Visual Art Therapy on Blood Pressure and Heart Rate: A Literature Review (L’effet de la thérapie créative par les arts visuels sur la tension artérielle et la fréquence cardiaque : une revue de la littérature)

2024· review· fr· W4400106885 on OpenAlexaff
Reem Al-Rawi, Maya Morcos

Bibliographic record

VenueCanadian Journal of Art Therapy · 2024
Typereview
Languagefr
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of OttawaQueen's University
Fundersnot available
KeywordsMedicineThe artsBlood pressureArtInternal medicineVisual arts

Abstract

fetched live from OpenAlex

The effects of creative art therapy (CAT) on blood pressure (BP) and heart rate (HR) have been scarcely examined. The objective of this study was to summarize the current literature examining the effects of CAT on BP and HR. A systematic review was completed using the databases Pubmed, Medline, and Embase. Seven studies met the inclusion criteria of the database search. One paper found an association with reduced BP, three found an association with reduced HR, four found an association with increased heart rate variability (HRV), and one found a decrease in respiratory sinus arrhythmia that is associated with an increase in HR. Additionally, two more papers that involved looking at art rather than making art are discussed, accounting for those who have reduced ability to engage in art making. The specific art modality used was also shown to affect efficacy. The effect of CAT on cardiovascular parameters remains conflicting. Most papers examined in this review present promising findings of increased heart rate variability, and reduced BP and HR. Nevertheless, other papers found conflicting effects on cardiovascular parameters. As such, further studies should be conducted to resolve the inconsistent findings in this field.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.655
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.014
GPT teacher head0.308
Teacher spread0.294 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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